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Ali MK, Singh K, Kondal D, Devarajan R, Patel SA, Menon VU, Varthakavi PK, Vishwanathan V, Dharmalingam M, Bantwal G, Sahay RK, Masood MQ, Khadgawat R, Desai A, Prabhakaran D, Narayan KMV, Tandon N. Effect of a multicomponent quality improvement strategy on sustained achievement of diabetes care goals and macrovascular and microvascular complications in South Asia at 6.5 years follow-up: Post hoc analyses of the CARRS randomized clinical trial. PLoS Med 2024; 21:e1004335. [PMID: 38829880 DOI: 10.1371/journal.pmed.1004335] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Accepted: 04/22/2024] [Indexed: 06/05/2024] Open
Abstract
BACKGROUND Diabetes control is poor globally and leads to burdensome microvascular and macrovascular complications. We aimed to assess post hoc between-group differences in sustained risk factor control and macrovascular and microvascular endpoints at 6.5 years in the Center for cArdiovascular Risk Reduction in South Asia (CARRS) randomized trial. METHODS AND FINDINGS This parallel group individual randomized clinical trial was performed at 10 outpatient diabetes clinics in India and Pakistan from January 2011 through September 2019. A total of 1,146 patients with poorly controlled type 2 diabetes (HbA1c ≥8% and systolic BP ≥140 mm Hg and/or LDL-cholesterol ≥130 mg/dl) were randomized to a multicomponent quality improvement (QI) strategy (trained nonphysician care coordinator to facilitate care for patients and clinical decision support system for physicians) or usual care. At 2.5 years, compared to usual care, those receiving the QI strategy were significantly more likely to achieve multiple risk factor control. Six clinics continued, while 4 clinics discontinued implementing the QI strategy for an additional 4-year follow-up (overall median 6.5 years follow-up). In this post hoc analysis, using intention-to-treat, we examined between-group differences in multiple risk factor control (HbA1c <7% plus systolic BP <130 mm Hg and/or LDL-cholesterol <100 mg/dl) and first macrovascular endpoints (nonfatal myocardial infarction, nonfatal stroke, death, revascularization [angioplasty or coronary artery bypass graft]), which were coprimary outcomes. We also examined secondary outcomes, namely, single risk factor control, first microvascular endpoints (retinopathy, nephropathy, neuropathy), and composite first macrovascular plus microvascular events (which also included amputation and all-cause mortality) by treatment group and whether QI strategy implementation was continued over 6.5 years. At 6.5 years, assessment data were available for 854 participants (74.5%; n = 417 [intervention]; n = 437 [usual care]). In terms of sociodemographic and clinical characteristics, participants in the intervention and usual care groups were similar and participants at sites that continued were no different to participants at sites that discontinued intervention implementation. Patients in the intervention arm were more likely to exhibit sustained multiple risk factor control than usual care (relative risk: 1.79; 95% confidence interval [CI], 1.45, 2.20), p < 0.001. Cumulatively, there were 233 (40.5%) first microvascular and macrovascular events in intervention and 274 (48.0%) in usual care patients (absolute risk reduction: 7.5% [95% CI: -13.2, -1.7], p = 0.01; hazard ratio [HR] = 0.72 [95% CI: 0.61, 0.86]), p < 0.001. Patients in the intervention arm experienced lower incidence of first microvascular endpoints (HR = 0.68 [95% CI: 0.56, 0.83), p < 0.001, but there was no evidence of between-group differences in first macrovascular events. Beneficial effects on microvascular and composite vascular outcomes were observed in sites that continued, but not sites that discontinued the intervention. CONCLUSIONS In urban South Asian clinics, a multicomponent QI strategy led to sustained multiple risk factor control and between-group differences in microvascular, but not macrovascular, endpoints. Between-group reductions in vascular outcomes at 6.5 years were observed only at sites that continued the QI intervention, suggesting that practice change needs to be maintained for better population health of people with diabetes. TRIAL REGISTRATION ClinicalTrials.gov NCT01212328.
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Affiliation(s)
- Mohammed K Ali
- Emory Global Diabetes Research Center, Woodruff Health Sciences Center, Department of Family and Preventive Medicine, School of Medicine, Emory University, Atlanta, Georgia, United States of America
| | - Kavita Singh
- Heidelberg Institute of Global Health, Heidelberg University, Heidelberg, Germany
- Public Health Foundation of India, Gurgaon, India
| | | | | | - Shivani A Patel
- Emory University, Rollins School of Public Health, Atlanta, Georgia, United States of America
| | - V Usha Menon
- Amrita Institute of Medical Sciences, Department of Endocrinology & Diabetes, AIMS Ponekkara, Kochi, India
| | | | | | - Mala Dharmalingam
- Bangalore Endocrinology & Diabetes Research Centre, Bangalore, India
| | - Ganapati Bantwal
- St. John's Medical College & Hospital, Department of Endocrinology, Bangalore, India
| | | | - Muhammad Qamar Masood
- Aga Khan University, Department of Medicine, Section of Endocrinology and Diabetes, Karachi, Pakistan
| | - Rajesh Khadgawat
- All India Institute of Medical Sciences, Department of Endocrinology & Metabolism, Biotechnology Block, New Delhi, India
| | - Ankush Desai
- Goa Medical College, Department of Endocrinology, Bambolim, India
| | - Dorairaj Prabhakaran
- Centre for Control of Chronic Conditions, Public Health Foundation of India, Gurgaon, India
| | - K M Venkat Narayan
- Emory Global Diabetes Research Center, Woodruff Health Sciences Center, Emory University, Atlanta, Georgia, United States of America
| | - Nikhil Tandon
- All India Institute of Medical Sciences, Department of Endocrinology & Metabolism, Biotechnology Block, New Delhi, India
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Peng M, Li L, Shi X, Wang Z. Does integrated health management within a county medical consortium improve rural type 2 diabetic patients' self-management behavior and quality of life? An empirical analysis from Eastern China. BMC Public Health 2024; 24:1439. [PMID: 38811921 PMCID: PMC11138014 DOI: 10.1186/s12889-024-18885-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Accepted: 05/17/2024] [Indexed: 05/31/2024] Open
Abstract
BACKGROUND Levels of self-management behaviors (SMB) and quality of life (QoL) are suboptimal in Chinese adults with type 2 diabetes (T2D), especially in rural China. Integrated health management within a county medical consortium, featuring multi-level teams of doctors, nurses, and other professionals offering follow-up services such as check-ups, assessments, treatment, and health education, is promising in improving this. This study aimed to assess the effect of integrated health management within a county medical consortium on the SMB and QoL of rural T2D patients in China. METHODS Based on a survey conducted on the county medical consortium in Eastern China, this study initially employed propensity score matching (PSM), a nonparametric technique, to precisely estimate the average treatment effect on the treated (ATT) of integrated health management on SMB and QoL in rural T2D patients. Subsequently, quantile regression was also performed to estimate the relationship between the implementation of integrated health management, sociodemographic factors, follow-up services (offered during integrated health management) and both SMB and QoL. RESULTS The ATT values for SMB and QoL, representing the net effect of integrated health management within a county medical consortium on SMB and QoL, were significantly positive. They ranged from 4.34 to 4.67 for SMB and from 0.89 to 1.06 for QoL, respectively, based on the four different PSM modalities. The results of quantile regression also revealed a statistically significant positive association between the implementation of integrated health management and both SMB (coef. = 4.15) and QoL (coef. = 1.54). These findings suggest that integrated health management within a county medical consortium can effectively improve SMB and QoL in rural T2D patients. Furthermore, frequency of follow-up service and health behavior guidance were positively associated with SMB and QoL. Conversely, on-call follow-up services, medication guidance and follow-up services at medical institutions were negatively correlated with SMB or QoL. CONCLUSIONS The study highlights the effectiveness of integrated health management within a county medical consortium in improving SMB and QoL among individuals with T2D in rural China. The findings offer invaluable insights for the advancement of chronic disease management in rural areas of developing countries.
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Affiliation(s)
- Mingyao Peng
- School of Health Policy & Management, Nanjing Medical University, Nanjing, 211166, China
| | - Li Li
- Binhai County People's Hospital, Yancheng, 224500, Jiangsu, China
| | - Xinyi Shi
- School of Health Policy & Management, Nanjing Medical University, Nanjing, 211166, China
| | - Zhonghua Wang
- School of Health Policy & Management, Nanjing Medical University, Nanjing, 211166, China.
- The Public Health Policy and Management Innovation Research Team, Nanjing Medical University, Nanjing, 211166, China.
- School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
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Chan JC, O CK, Luk AO. Young-Onset Diabetes in East Asians: From Epidemiology to Precision Medicine. Endocrinol Metab (Seoul) 2024; 39:239-254. [PMID: 38626908 PMCID: PMC11066447 DOI: 10.3803/enm.2024.1968] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/24/2024] [Revised: 03/13/2024] [Accepted: 03/20/2024] [Indexed: 05/03/2024] Open
Abstract
Precision diagnosis is the keystone of clinical medicine. In East Asians, classical type 1 diabetes is uncommon in patients with youngonset diabetes diagnosed before age of 40, in whom a family history, obesity, and beta-cell and kidney dysfunction are key features. Young-onset diabetes affects one in five Asian adults with diabetes in clinic settings; however, it is often misclassified, resulting in delayed or non-targeted treatment. Complex aetiologies, long disease duration, aggressive clinical course, and a lack of evidence-based guidelines have contributed to variable care standards and premature death in these young patients. The high burden of comorbidities, notably mental illness, highlights the numerous knowledge gaps related to this silent killer. The majority of adult patients with youngonset diabetes are managed as part of a heterogeneous population of patients with various ages of diagnosis. A multidisciplinary care team led by physicians with special interest in young-onset diabetes will help improve the precision of diagnosis and address their physical, mental, and behavioral health. To this end, payors, planners, and providers need to align and re-design the practice environment to gather data systematically during routine practice to elucidate the multicausality of young-onset diabetes, treat to multiple targets, and improve outcomes in these vulnerable individuals.
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Affiliation(s)
- Juliana C.N. Chan
- Department of Medicine and Therapeutics, Hong Kong Institute of Diabetes and Obesity and Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong
| | - Chun-Kwan O
- Department of Medicine and Therapeutics, Hong Kong Institute of Diabetes and Obesity and Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong
| | - Andrea O.Y. Luk
- Department of Medicine and Therapeutics, Hong Kong Institute of Diabetes and Obesity and Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong
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Pollock C, Moon JY, Ngoc Ha LP, Gojaseni P, Ching CH, Gomez L, Chan TM, Wu MJ, Yeo SC, Nugroho P, Bhalla AK. Framework of Guidelines for Management of CKD in Asia. Kidney Int Rep 2024; 9:752-790. [PMID: 38765566 PMCID: PMC11101746 DOI: 10.1016/j.ekir.2023.12.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Revised: 11/29/2023] [Accepted: 12/11/2023] [Indexed: 05/22/2024] Open
Affiliation(s)
- Carol Pollock
- Kolling Institute of Medical Research, University of Sydney, St Leonards, New South Wales, Australia
| | - Ju-young Moon
- Kyung Hee University School of Medicine, Kyung Hee University Hospital at Gangdong, Seoul, Republic of Korea
| | - Le Pham Ngoc Ha
- University of Medicine and Pharmacy, Ho Chi Minh City, Vietnam
| | | | | | - Lynn Gomez
- Asian Hospital and Medical Center, Muntinlupa City, Metro Manila, Philippines
| | - Tak Mao Chan
- Department of Medicine, Queen Mary Hospital, The University of Hong Kong, Hong Kong
| | - Ming-Ju Wu
- Taichung Veterans General Hospital, Taichung City, Taiwan
| | | | | | - Anil Kumar Bhalla
- Department of Nephrology-Sir Ganga Ram Hospital Marg, New Delhi, Delhi, India
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Sheng B, Guan Z, Lim LL, Jiang Z, Mathioudakis N, Li J, Liu R, Bao Y, Bee YM, Wang YX, Zheng Y, Tan GSW, Ji H, Car J, Wang H, Klonoff DC, Li H, Tham YC, Wong TY, Jia W. Large language models for diabetes care: Potentials and prospects. Sci Bull (Beijing) 2024; 69:583-588. [PMID: 38220476 DOI: 10.1016/j.scib.2024.01.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2024]
Affiliation(s)
- Bin Sheng
- Shanghai International Joint Laboratory of Intelligent Prevention and Treatment for Metabolic Diseases, Department of Computer Science and Engineering, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai 200240, China; MOE Key Laboratory of Artificial Intelligence, Artificial Intelligence Institute, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Zhouyu Guan
- Shanghai International Joint Laboratory of Intelligent Prevention and Treatment for Metabolic Diseases, Department of Computer Science and Engineering, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai 200240, China
| | - Lee-Ling Lim
- Department of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur 50603, Malaysia; Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China; Asia Diabetes Foundation, Hong Kong, China
| | - Zehua Jiang
- Tsinghua Medicine of Tsinghua University, Beijing 100084, China; School of Clinical Medicine, Beijing Tsinghua Changgung Hospital, Beijing 102218, China
| | - Nestoras Mathioudakis
- Division of Endocrinology, Diabetes, & Metabolism, Johns Hopkins University School of Medicine, Baltimore, MD 21211, USA
| | - Jiajia Li
- Shanghai International Joint Laboratory of Intelligent Prevention and Treatment for Metabolic Diseases, Department of Computer Science and Engineering, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai 200240, China; MOE Key Laboratory of Artificial Intelligence, Artificial Intelligence Institute, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Ruhan Liu
- Shanghai International Joint Laboratory of Intelligent Prevention and Treatment for Metabolic Diseases, Department of Computer Science and Engineering, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai 200240, China; MOE Key Laboratory of Artificial Intelligence, Artificial Intelligence Institute, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Yuqian Bao
- Shanghai International Joint Laboratory of Intelligent Prevention and Treatment for Metabolic Diseases, Department of Computer Science and Engineering, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai 200240, China
| | - Yong Mong Bee
- Department of Endocrinology, Singapore General Hospital, Singapore 169608, Singapore
| | - Ya-Xing Wang
- Beijing Institute of Ophthalmology, Beijing Tongren Hospital, Capital University of Medical Science, Beijing Ophthalmology and Visual Sciences Key Laboratory, Beijing 100730, China
| | - Yingfeng Zheng
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangzhou 510060, China
| | - Gavin Siew Wei Tan
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore 168751, Singapore
| | - Hongwei Ji
- Department of Cardiology, the Affiliated Hospital of Qingdao University, Qingdao 266011, China
| | - Josip Car
- Centre for Population Health Sciences, Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Singapore 639798, Singapore; Department of Primary Care and Public Health, School of Public Health, Imperial College London, London SW7 2BU, UK
| | - Haibo Wang
- Clinical Trial Unit, Research Centre of Big Data and Artificial Intelligence in Medicine, Institute of Precision Medicine, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China.
| | - David C Klonoff
- Diabetes Research Institute, Mills-Peninsula Medical Center, San Mateo, CA 94010, USA.
| | - Huating Li
- Shanghai International Joint Laboratory of Intelligent Prevention and Treatment for Metabolic Diseases, Department of Computer Science and Engineering, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai 200240, China.
| | - Yih-Chung Tham
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore 168751, Singapore; Centre for Innovation and Precision Eye Health, National University of Singapore, Singapore 119077, Singapore; Department of Ophthalmology, National University of Singapore, Singapore 119077, Singapore; Ophthalmology and Visual Science Academic Clinical Program, Duke-NUS Medical School, Singapore 169857, Singapore.
| | - Tien Yin Wong
- Tsinghua Medicine of Tsinghua University, Beijing 100084, China; School of Clinical Medicine, Beijing Tsinghua Changgung Hospital, Beijing 102218, China; Singapore Eye Research Institute, Singapore National Eye Centre, Singapore 168751, Singapore.
| | - Weiping Jia
- Shanghai International Joint Laboratory of Intelligent Prevention and Treatment for Metabolic Diseases, Department of Computer Science and Engineering, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai 200240, China.
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Guldemond N. What is meant by 'integrated personalized diabetes management': A view into the future and what success should look like. Diabetes Obes Metab 2024; 26 Suppl 1:14-29. [PMID: 38328815 DOI: 10.1111/dom.15476] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Revised: 01/12/2024] [Accepted: 01/15/2024] [Indexed: 02/09/2024]
Abstract
Integrated personalized diabetes management (IPDM) has emerged as a promising approach to improving outcomes in patients with diabetes mellitus (DM). This care approach emphasizes the integration and coordination of different providers, including physicians, nurses, dietitians, social workers and pharmacists. The goal of IPDM is to provide patients with personalized care that is tailored to their needs. This review addresses the concept of integrated care and the use of technology (including data, software applications and artificial intelligence) as well as managerial, regulatory and financial aspects. The implementation and upscaling of digitally enabled IPDM are discussed, with elaboration of successful practices and related evidence. Finally, recommendations are made. It is concluded that the adoption of digitally enabled IPDM on a global level is inevitable, considering the challenges created by an increasing prevalence of patients with DM and the need for better outcomes and improvement of health system sustainability.
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Affiliation(s)
- Nick Guldemond
- Department of Public Health and Primary Care, Leiden Universitair Medisch Centrum, Leiden, Netherlands
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Chowdhury HA, Harrison CL, Siddiquea BN, Tissera S, Afroz A, Ali L, Joham AE, Billah B. The effectiveness of diabetes self-management education intervention on glycaemic control and cardiometabolic risk in adults with type 2 diabetes in low- and middle-income countries: A systematic review and meta-analysis. PLoS One 2024; 19:e0297328. [PMID: 38306363 PMCID: PMC10836683 DOI: 10.1371/journal.pone.0297328] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Accepted: 01/01/2024] [Indexed: 02/04/2024] Open
Abstract
Diabetes mellitus (DM) poses a significant challenge to public health. Effective diabetes self-management education (DSME) interventions may play a pivotal role in the care of people with type 2 diabetes mellitus (T2DM) in low- and middle-income countries (LMICs). A specific up-to-date systematic review is needed to assess the effect of DSME interventions on glycaemic control, cardiometabolic risk, self-management behaviours, and psychosocial well-being among T2DM across LMICs. The MEDLINE, Embase, CINAHL, Global Health, and Cochrane databases were searched on 02 August 2022 and then updated on 10 November 2023 for published randomised controlled trials (RCTs) and quasi-experimental studies. The quality of the studies was assessed, and a random-effect model was used to estimate the pooled effect of diabetes DSME intervention. Heterogeneity (I2) was tested, and subgroup analyses were performed. Egger's regression test and funnel plots were used to examine publication bias. The risk of bias of the included studies was assessed using the Cochrane risk-of-bias tool for randomized trial (RoB 2). The overall assessment of the evidence was evaluated using the Grading of Recommendations Assessment, Development, and Evaluation approach. A total of 5893 articles were retrieved, and 44 studies (n = 11838) from 21 LMICs met the inclusion criteria. Compared with standard care, pooled analysis showed that DSME effectively reduced the HbA1c level by 0.64% (95% CI: 0.45% to 0.83%) and 1.27% (95% CI: -0.63% to 3.17%) for RCTs and quasi-experimental design studies, respectively. Further, the findings showed an improvement in cardiometabolic risk reduction, diabetes self-management behaviours, and psychosocial well-being. This review suggests that ongoing support alongside individualised face-to-face intervention delivery is favourable for improving overall T2DM management in LMICs, with a special emphasis on countries in the lowest income group.
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Affiliation(s)
- Hasina Akhter Chowdhury
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
- Centre for Injury Prevention and Research, Bangladesh (CIPRB), Dhaka, Bangladesh
| | - Cheryce L. Harrison
- Monash Centre for Health Research and Implementation–MCHRI, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Bodrun Naher Siddiquea
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Sanuki Tissera
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Afsana Afroz
- Department of Biochemistry and Pharmacology, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, Australia
| | - Liaquat Ali
- Pothikrit Institute of Health Studies (PIHS), Dhaka, Bangladesh
| | - Anju E. Joham
- Monash Centre for Health Research and Implementation–MCHRI, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
- Departments of Endocrinology and Diabetes, Monash Health, Melbourne, Australia
| | - Baki Billah
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
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Lim LL, Hussein Z, Noor NM, Raof ASA, Mustafa N, Bidin MBL, Ghani RA, Samsuddin S, Yong SL, Foo SH, Raghuram K, Suwannasri P, W. B. WM, Chiew TK, Chan SP. Real-world evaluation of care for type 2 diabetes in Malaysia: A cross-sectional analysis of the treatment adherence to guideline evaluation in type 2 diabetes (TARGET-T2D) study. PLoS One 2024; 19:e0296298. [PMID: 38166049 PMCID: PMC10760741 DOI: 10.1371/journal.pone.0296298] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Accepted: 12/08/2023] [Indexed: 01/04/2024] Open
Abstract
AIM Given a lack of data on diabetes care performance in Malaysia, we conducted a cross-sectional study to understand the clinical characteristics, control of cardiometabolic risk factors, and patterns of use of guideline-directed medical therapy (GDMT) among patients with type 2 diabetes (T2D), who were managed at publicly-funded hospitals between December 2021 and June 2022. METHODS Patients aged ≥18 years with T2D from eight publicly-funded hospitals in the Greater Kuala Lumpur region, who had ≥2 outpatient visits within the preceding year and irrespective of treatment regimen, were eligible. The primary outcome was ≥2 treatment target attainment (defined as either HbA1c <7.0%, blood pressure [BP] <130/80 mmHg, or low-density lipoprotein cholesterol [LDL-C] <1.8 mmol/L). The secondary outcomes were the individual treatment target, a combination of all three treatment targets, and patterns of GDMT use. To assess for potential heterogeneity of study findings, all outcomes were stratified according to prespecified baseline characteristics namely 1) history of atherosclerotic cardiovascular disease (ASCVD; yes/no) and 2) clinic type (Diabetes specialist versus General medicine). RESULTS Among 5094 patients (mean±SD age 59.0±13.2 years; T2D duration 14.8±9.2 years; HbA1c 8.2±1.9% (66±21 mmol/mol); BMI 29.6±6.2 kg/m2; 45.6% men), 99% were at high/very high cardiorenal risk. Attainment of ≥2 treatment targets was at 18%, being higher in General medicine than in Diabetes specialist clinics (20.8% versus 17.5%; p = 0.039). The overall statin coverage was 90%. More patients with prior ASCVD attained LDL-C <1.4 mmol/L than those without (13.5% versus 8.4%; p<0.001). Use of sodium-glucose cotransporter-2 (SGLT2) inhibitors (13.2% versus 43.2%), glucagon-like peptide-1 receptor agonists (GLP1-RAs) (1.0% versus 6.2%), and insulin (27.7% versus 58.1%) were lower in General medicine than in Diabetes specialist clinics. CONCLUSIONS Among high-risk patients with T2D, treatment target attainment and use of GDMT were suboptimal.
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Affiliation(s)
- Lee-Ling Lim
- Faculty of Medicine, Department of Medicine, University of Malaya, Kuala Lumpur, Malaysia
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong, SAR
- Asia Diabetes Foundation, Shatin, Hong Kong, SAR
| | | | - Nurain Md Noor
- Department of Medicine, Hospital Putrajaya, Putrajaya, Malaysia
| | - Anis S. Abd Raof
- Faculty of Medicine, Department of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Norlaila Mustafa
- Faculty of Medicine, Department of Medicine, Universiti Kebangsaan Malaysia, Selangor, Malaysia
| | | | - Rohana Abdul Ghani
- Faculty of Medicine, Department of Medicine, Universiti Teknologi MARA, Selangor, Malaysia
| | | | - Sy-Liang Yong
- Department of Medicine, Hospital Tengku Ampuan Rahimah, Selangor, Malaysia
| | - Siew-Hui Foo
- Department of Medicine, Hospital Selayang, Selangor, Malaysia
| | | | | | - Wan Mohamad W. B.
- School of Medical Sciences, Universiti Sains Malaysia, Kelantan, Malaysia
| | - Thiam-Kian Chiew
- Faculty of Computer Science and Information Technology, Department of Software Engineering, University of Malaya, Kuala Lumpur, Malaysia
| | - Siew-Pheng Chan
- Faculty of Medicine, Department of Medicine, University of Malaya, Kuala Lumpur, Malaysia
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Silva-Tinoco R, Cuatecontzi-Xochitiotzi T, Castillo-Martínez L, de la Torre-Saldaña V, Guzman-Olvera E, Bernal-Ceballos F. Impact of a multicomponent integrated care delivery program on diabetes care goals achievement: a primary care quality improvement initiative. Prim Care Diabetes 2023; 17:568-574. [PMID: 37640623 DOI: 10.1016/j.pcd.2023.07.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Revised: 07/18/2023] [Accepted: 07/26/2023] [Indexed: 08/31/2023]
Abstract
AIM To evaluate the impact of multicomponent integrated care (MIC) delivery program in a primary care real-life setting on diabetes care goals. METHODS Patients with T2D and usual primary care from the public health system in Mexico were invited to participate in a five-month ambulatory MIC quality initiative (DIAbetes Empowerment and Improvement of Care program, DIABEMPIC). RESULTS 841 patients who finished the program and with complete data were analyzed. The patients had a mean decrease in hemoglobin A1c, systolic and diastolic pressure, and LDL-cholesterol of 2.4%, 9 mmHg, 3 mmHg, and 22.5 mg/dL, respectively (p < 0.001). The achievement of the optimal triple target goal increased from 1.8% to 26.7% (p < 0.001). In the adjusted analysis, the diabetes knowledge and global self-care behavior score post-intervention, as well as the increment of global self-care behavior score were associated with the optimal composite risk factor control achievement. CONCLUSION The incorporation of diabetes therapeutic education interventions to improve self-care behaviors along with adequate treatment intensification in diabetes care are fundamental to attaining optimal risk factor control and attenuating disease burden.
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Affiliation(s)
- Ruben Silva-Tinoco
- Clinic Specialized in the Diabetes Management of the Mexico City Government, Servicios de Salud Pública de la Ciudad de México, Mexico
| | - Teresa Cuatecontzi-Xochitiotzi
- Clinic Specialized in the Diabetes Management of the Mexico City Government, Servicios de Salud Pública de la Ciudad de México, Mexico
| | - Lilia Castillo-Martínez
- Department of Clinical Nutrition, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico
| | - Viridiana de la Torre-Saldaña
- Clinic Specialized in the Diabetes Management of the Mexico City Government, Servicios de Salud Pública de la Ciudad de México, Mexico
| | - Eileen Guzman-Olvera
- Clinic Specialized in the Diabetes Management of the Mexico City Government, Servicios de Salud Pública de la Ciudad de México, Mexico
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10
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Te V, Ma S, Por I, Van Damme W, Wouters E, van Olmen J. Diabetes care components effectively implemented in the ASEAN health systems: an umbrella review of systematic reviews. BMJ Open 2023; 13:e071427. [PMID: 37816569 PMCID: PMC10565207 DOI: 10.1136/bmjopen-2022-071427] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Accepted: 09/11/2023] [Indexed: 10/12/2023] Open
Abstract
OBJECTIVES Association of Southeast Asian Nations (ASEAN) is among the hardest hit low-income and middle-income countries by diabetes. Innovative Care for Chronic Conditions (ICCC) framework has been adopted by the WHO for health system transformation towards better care for chronic conditions including diabetes. We conducted an umbrella review of systematic reviews on diabetes care components effectively implemented in the ASEAN health systems and map those effective care components into the ICCC framework. DESIGN An umbrella review of systematic reviews and/or meta-analyses following JBI (Joanna Briggs Institute) guidelines. DATA SOURCES Health System Evidence, Health Evidence, PubMed and Ovid MEDLINE. ELIGIBILITY CRITERIA We included systematic reviews and/or meta-analyses which focused on management of type 2 diabetes, reported improvements in measured outcomes and had at least one ASEAN member state in the study setting. DATA EXTRACTION AND SYNTHESIS Two reviewers independently extracted the data and mapped the included studies into the ICCC framework. A narrative synthesis method was used to summarise the findings. The included studies were assessed for methodological quality based on the JBI critical appraisal checklist for systematic reviews and research syntheses. RESULTS 479 records were found of which 36 studies were included for the analysis. A multidisciplinary healthcare team including pharmacists and nurses has been reported to effectively support patients in self-management of their conditions. This can be supported by effective use of digital health interventions. Community health workers either peers or lay people with necessary software (knowledge and skills) and hardware (medical equipment and supplies) can provide complementary care to that of the healthcare staff. CONCLUSION To meet challenges of the increased burden of chronic conditions including diabetes, health policy-makers in the ASEAN member states can consider a paradigm shift in human resources for health towards the multidisciplinary, inclusive, collaborative and complementary team.
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Affiliation(s)
- Vannarath Te
- School of Public Health, National Institute of Public Health, Phnom Penh, Cambodia
- Health Policy Unit, Department of Public Health, Institute of Tropical Medicine, Antwerpen, Belgium
- Department of Family Medicine and Population Health, University of Antwerp, Antwerpen, Belgium
| | - Sokvy Ma
- School of Public Health, National Institute of Public Health, Phnom Penh, Cambodia
| | - Ir Por
- School of Public Health, National Institute of Public Health, Phnom Penh, Cambodia
- Management Team, National Institute of Public Health, Phnom Penh, Cambodia
| | - Wim Van Damme
- Health Policy Unit, Department of Public Health, Institute of Tropical Medicine, Antwerpen, Belgium
| | - Edwin Wouters
- Department of Sociology, Centre for Population, Family & Health, University of Antwerp, Antwerp, Belgium
- Center for Health Systems Research & Development, University of the Free State, Bloemfontein, South Africa
| | - Josefien van Olmen
- Department of Family Medicine and Population Health, University of Antwerp, Antwerpen, Belgium
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11
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Wankah P, Gordon D, Shahid S, Chandra S, Abejirinde IO, Yoon R, Wodchis WP, O’Campo P, Gray CS, Clark N, Shaw J. Equity Promoting Integrated Care: Definition and Future Development. Int J Integr Care 2023; 23:6. [PMID: 37867579 PMCID: PMC10588500 DOI: 10.5334/ijic.7614] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Accepted: 10/12/2023] [Indexed: 10/24/2023] Open
Abstract
Over the last three decades, integrated care has emerged as an important health system strategy to improve population health while addressing the unique needs of structurally marginalised communities. However, less attention has been given to the role of integrated care in addressing issues related to inequities in health and health care. In this commentary we introduce the concept of Equity Promoting Integrated Care (EPIC) that situates integrated care in a social justice context to frame the actions necessary to center equity as a priority for integrated care. We suggest that efforts to advance the design and implementation of integrated care should focus on three avenues for future research and practice, namely, the collaborative mobilization of a global network of integrated care stakeholders to advocate for social justice and health equity, investing in equity-focused approaches to implementation science that highlight the importance of social concepts such as colonialism and intersectionality to advance the theory and practice of implementing EPIC models of care, and leveraging innovative approaches to measuring equity-related aspects of integrated care to inform continuous improvement of health systems.
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Affiliation(s)
- Paul Wankah
- University of Toronto, CA
- Women’s College Hospital, CA
| | - Dara Gordon
- University of Toronto, CA
- Women’s College Hospital, CA
| | | | | | | | | | - Walter P. Wodchis
- University of Toronto, CA
- Institute for Better Health, Trillium Health Partners, CA
| | | | - Carolyn Steele Gray
- University of Toronto, CA
- Lunenfeld-Tanenbaum Research Institute, Sinai Health, CA
| | | | - James Shaw
- University of Toronto, Women’s College Hospital, CA
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12
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Nouri S, Lyles CR, Sherwin EB, Kuznia M, Rubinsky AD, Kemper KE, Nguyen OK, Sarkar U, Schillinger D, Khoong EC. Visit and Between-Visit Interaction Frequency Before and After COVID-19 Telehealth Implementation. JAMA Netw Open 2023; 6:e2333944. [PMID: 37713198 PMCID: PMC10504619 DOI: 10.1001/jamanetworkopen.2023.33944] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Accepted: 08/08/2023] [Indexed: 09/16/2023] Open
Abstract
Importance Telehealth implementation associated with the COVID-19 public health emergency (PHE) affected patient-clinical team interactions in numerous ways. Yet, studies have narrowly examined billed patient-clinician visits rather than including visits with other team members (eg, pharmacists) or between-visit interactions. Objective To evaluate rates of change over time in visits (in-person, telehealth) and between-visit interactions (telephone calls, patient portal messages) overall and by key patient characteristics. Design, Setting, and Participants This retrospective cohort study included adults with diabetes receiving primary care at urban academic (University of California San Francisco [UCSF]) and safety-net (San Francisco Health Network [SFHN]) health care systems. Encounters from April 2019 to March 2021 were analyzed. Exposure Telehealth implementation over 3 periods: pre-PHE (April 2019 to March 2020), strict shelter-in-place (April to June 2020), and hybrid-PHE (July 2020 to March 2021). Main Outcomes and Measures The main outcomes were rates of change in monthly mean number of total encounters, visits with any health care team member, visits with billing clinicians, and between-visit interactions. Key patient-level characteristics were age, race and ethnicity, language, and neighborhood socioeconomic status (nSES). Results Of 15 148 patients (4976 UCSF; 8975 SFHN) included, 2464 (16%) were 75 years or older, 7734 (51%) were female patients, 9823 (65%) self-identified as racially or ethnically minoritized, 6223 (41%) had a non-English language preference, and 4618 (31%) lived in the lowest nSES quintile. After accounting for changes to care delivery through an interrupted time-series analysis, total encounters increased in the hybrid-PHE period (UCSF: 2.3% per patient/mo; 95% CI, 1.6%-2.9% per patient/mo; SFHN: 1.8% per patient/mo, 95% CI, 1.3%-2.2% per patient/mo), associated primarily with growth in between-visit interactions (UCSF: 3.1% per patient/mo, 95% CI, 2.3%-3.8% per patient/mo; SFHN: 2.9% per patient/mo, 95% CI, 2.3%-3.4% per patient/mo). In contrast, rates of visits were stable during the hybrid-PHE period. Although there were fewer differences in visit use by key patient-level characteristics during the hybrid-PHE period, pre-PHE differences in between-visit interactions persisted during the hybrid-PHE period at SFHN. Asian and Chinese-speaking patients at SFHN had fewer monthly mean between-visit interactions compared with White patients (0.46 [95% CI, 0.42-0.50] vs 0.59 [95% CI, 0.53-0.66] between-visit interactions/patient/mo; P < .001) and English-speaking patients (0.52 [95% CI, 0.47-0.58] vs 0.61 [95% CI, 0.56-0.66] between-visit interactions/patient/mo; P = .03). Conclusions and Relevance In this study, pre-PHE growth in overall patient-clinician encounters persisted after PHE-related telehealth implementation, driven in both periods by between-visit interactions. Differential utilization based on patient characteristics was observed, which may indicate disparities. The implications for health care team workload and patient outcomes are unknown, particularly regarding between-visit interactions. Therefore, to comprehensively understand care utilization for patients with chronic diseases, research should expand beyond billed visits.
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Affiliation(s)
- Sarah Nouri
- Division of Palliative Medicine, Department of Medicine, University of California San Francisco
| | - Courtney R. Lyles
- Division of General Internal Medicine at Zuckerberg San Francisco General Hospital, Department of Medicine, University of California San Francisco
- UCSF Center for Vulnerable Populations, University of California San Francisco
- Department of Epidemiology and Biostatistics, University of California San Francisco
| | - Elizabeth B. Sherwin
- Department of Epidemiology and Biostatistics, University of California San Francisco
| | | | - Anna D. Rubinsky
- Department of Epidemiology and Biostatistics, University of California San Francisco
| | - Kathryn E. Kemper
- UCSF Center for Vulnerable Populations, University of California San Francisco
- Department of Epidemiology and Biostatistics, University of California San Francisco
| | - Oanh K. Nguyen
- UCSF Center for Vulnerable Populations, University of California San Francisco
- Division of Hospital Medicine at Zuckerberg San Francisco General Hospital, Department of Medicine, University of California San Francisco
| | - Urmimala Sarkar
- Division of General Internal Medicine at Zuckerberg San Francisco General Hospital, Department of Medicine, University of California San Francisco
- UCSF Center for Vulnerable Populations, University of California San Francisco
| | - Dean Schillinger
- Division of General Internal Medicine at Zuckerberg San Francisco General Hospital, Department of Medicine, University of California San Francisco
- UCSF Center for Vulnerable Populations, University of California San Francisco
| | - Elaine C. Khoong
- Division of General Internal Medicine at Zuckerberg San Francisco General Hospital, Department of Medicine, University of California San Francisco
- UCSF Center for Vulnerable Populations, University of California San Francisco
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13
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Nagykaldi Z, Littenberg B, Bonnell L, Breshears R, Clifton J, Crocker A, Hitt J, Kessler R, Mollis B, Miyamoto RES, van Eeghen C. Econometric evaluation of implementing a behavioral health integration intervention in primary care settings. Transl Behav Med 2023; 13:571-580. [PMID: 37000706 PMCID: PMC10415735 DOI: 10.1093/tbm/ibad013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/01/2023] Open
Abstract
Integrated behavioral health (IBH) is an approach to patient care that brings medical and behavioral health providers (BHPs) together to address both behavioral and medical needs within primary care settings. A large, pragmatic, national study aimed to test the effectiveness and measure the implementation costs of an intervention to improve IBH integration within primary care practices (IBH-PC). Assess the time and cost to practices of implementing a comprehensive practice-level intervention designed from the perspective of clinic owners to move behavioral service integration from co-location toward full integration as part of the IBH-PC study. IBH-PC program implementation costs were estimated in a representative sample of 8 practices using standard micro-econometric evaluation of activities outlined in the implementation workbook, including program implementation tasks, remote quality improvement coaching services, educational curricula, and learning community activities, over a 24-month period. The total median cost of implementing the IBH-PC program across all stages was $20,726 (range: $12,381 - $60,427). The median cost of the Planning Stage was $10,258 (range: $4,625 - $14,840), while the median cost of the Implementation Stage was $9,208 (range: $6,017 - 49,993). There were no statistically significant differences in practice or patient characteristics between the 8 selected practices and the larger IBH-PC practice sample (N=34). This study aimed to quantify the relative costs associated with integrating behavioral health into primary care. Although the cost assessment approach did not include all costs (fixed, variable, operational, and opportunity costs), the study aimed to develop a replicable and pragmatic measurement process with flexibility to adapt to emerging developments in each practice environment, providing a reasonable ballpark estimate of costs associated with implementation to help guide future executive decisions.
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Affiliation(s)
- Zsolt Nagykaldi
- Department of Family and Preventive Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | | | - Levi Bonnell
- Department of Medicine, University of Vermont, Burlington, VT, USA
| | - Ryan Breshears
- Psychological Services, Wellstar Health System, Marietta, GA, USA
| | | | - Abigail Crocker
- Department of Mathematics and Statistics, University of Vermont, Burlington, VT, USA
| | - Juvena Hitt
- Department of Medicine, University of Vermont, Burlington, VT, USA
| | - Rodger Kessler
- Integrated Behavioral Health, Arizona State University, Phoenix, AZ, USA
| | - Brenda Mollis
- Department of Family Medicine, University of Washington, Seattle, WA, USA
| | - Robin E S Miyamoto
- Departments of Native Hawaiian Health and Family Medicine and Community Health, University of Hawai’i, Honolulu, HI, USA
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14
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Donohue JF, Elborn JS, Lansberg P, Javed A, Tesfaye S, Rugo H, Duddi SRD, Jithoo N, Huang PH, Subramaniam K, Ramanjinappa N, Koltun A, Melamed S, Chan JCN. Bridging the "Know-Do" Gaps in Five Non-Communicable Diseases Using a Common Framework Driven by Implementation Science. J Healthc Leadersh 2023; 15:103-119. [PMID: 37416849 PMCID: PMC10320809 DOI: 10.2147/jhl.s394088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Accepted: 04/12/2023] [Indexed: 07/08/2023] Open
Abstract
According to the United Nations High-Level Meeting 2018, five non-communicable diseases (NCDs) including cardiovascular diseases, chronic respiratory diseases, diabetes mellitus, cancer, and mental health conditions accounted for two-thirds of global deaths. These five NCDs share five common risk factors including tobacco use, unhealthy diets, physical inactivity, alcohol use, and air pollution. Low- and middle-income countries (LMICs) face larger burden of NCDs than high-income countries (HICs), due to differences in ecological, technological, socioeconomic and health system development. Based on high-level evidence albeit mainly from HICs, the burden caused by NCDs can be reduced by affordable medicines and best practices. However, "know-do" gaps, ie, gaps between what we know in science and what we do in practice, has limited the impact of these strategies, especially in LMICs. Implementation science advocates the use of robust methodologies to evaluate sustainable solutions in health, education and social care aimed at informing practice and policies. In this article, physician researchers with expertise in NCDs reviewed the common challenges shared by these five NCDs with different clinical courses. They explained the principles of implementation science and advocated the use of an evidence-based framework to implement solutions focusing on early detection, prevention and empowerment, supplemented by best practices in HICs and LMICs. These successful stories can be used to motivate policymakers, payors, providers, patients and public to co-design frameworks and implement context-relevant, multi-component, evidence-based practices. In pursuit of this goal, we propose partnership, leadership, and access to continuing care as the three pillars in developing roadmaps for addressing the multiple needs during the journey of a person with or at risk of these five NCDs. By transforming the ecosystem, raising awareness and aligning context-relevant practices and policies with ongoing evaluation, it is possible to make healthcare accessible, affordable and sustainable to reduce the burden of these five NCDs.
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Affiliation(s)
| | | | | | - Afzal Javed
- Warwick Medical School, University of Warwick, Warwick, UK & Pakistan Psychiatric Research Centre, Coventry, UK
| | - Solomon Tesfaye
- Sheffield Teaching Hospitals and the University of Sheffield, Sheffield, UK
| | - Hope Rugo
- University of California San Francisco Comprehensive Cancer Center, San Francisco, CA, USA
| | - Sita Ratna Devi Duddi
- International Alliance of Patients’ Organisations, London, United Kingdom
- DakshamA Health and Education, Delhi, India
| | | | | | | | | | | | | | - Juliana C N Chan
- Department of Medicine and Therapeutics, Hong Kong Institute of Diabetes and Obesity, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong, Special Administrative Regions of the People’s Republic of China
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15
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Husin M, Teh XR, Ong SM, Lim YMF, Ang SH, Chan CL, Lim MT, Shanmugam S, Khamis N, Jaafar FSA, Ibrahim NI, Nasir NH, Kusuma D, Wagner AK, Ross-Degnan D, Atun R, Sivasampu S. The Effectiveness of Enhanced Primary Healthcare (EnPHC) interventions on Type 2 diabetes management in Malaysia: Difference-in-differences (DID) analysis. Prim Care Diabetes 2023; 17:260-266. [PMID: 36932012 DOI: 10.1016/j.pcd.2023.03.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Revised: 02/23/2023] [Accepted: 03/08/2023] [Indexed: 03/17/2023]
Abstract
AIMS To evaluate the effectiveness of the Enhanced Primary Healthcare (EnPHC) interventions on process of care and intermediate clinical outcomes among type 2 diabetes patients. METHODS This was a quasi-experimental controlled study conducted in 20 intervention and 20 control public primary care clinics in Malaysia from November 2016 to June 2019. Type 2 diabetes patients aged 30 years and above were selected via systematic random sampling. Outcomes include process of care and intermediate clinical outcomes. Difference-in-differences analyses was conducted. RESULTS We reviewed 12,017 medical records of patients with type 2 diabetes. Seven process of care measures improved: HbA1c tests (odds ratio (OR) 3.31, 95% CI 2.13, 5.13); lipid test (OR 4.59, 95% CI 2.64, 7.97), LDL (OR 4.33, 95% CI 2.16, 8.70), and urine albumin (OR 1.99, 95% CI 1.12, 3.55) tests; BMI measured (OR 15.80, 95% CI 4.78, 52.24); cardiovascular risk assessment (OR 174.65, 95% CI 16.84, 1810.80); and exercise counselling (OR 1.18, 95% CI 1.04, 1.33). We found no statistically significant changes in intermediate clinical outcomes (i.e. HbA1c, LDL, HDL and BP control). CONCLUSIONS EnPHC interventions was successful in enhancing the quality of care, in terms of process of care, by changing healthcare providers behaviour.
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Affiliation(s)
- Masliyana Husin
- Institute for Clinical Research, National Institutes of Health, Ministry of Health, No. 1, Jalan Setia Murni U13/52, Seksyen U13, Setia Alam, 40170 Shah Alam, Selangor, Malaysia.
| | - Xin Rou Teh
- Institute for Clinical Research, National Institutes of Health, Ministry of Health, No. 1, Jalan Setia Murni U13/52, Seksyen U13, Setia Alam, 40170 Shah Alam, Selangor, Malaysia
| | - Su Miin Ong
- Institute for Clinical Research, National Institutes of Health, Ministry of Health, No. 1, Jalan Setia Murni U13/52, Seksyen U13, Setia Alam, 40170 Shah Alam, Selangor, Malaysia
| | - Yvonne Mei Fong Lim
- Institute for Clinical Research, National Institutes of Health, Ministry of Health, No. 1, Jalan Setia Murni U13/52, Seksyen U13, Setia Alam, 40170 Shah Alam, Selangor, Malaysia
| | - Swee Hung Ang
- Institute for Clinical Research, National Institutes of Health, Ministry of Health, No. 1, Jalan Setia Murni U13/52, Seksyen U13, Setia Alam, 40170 Shah Alam, Selangor, Malaysia
| | - Chee Lee Chan
- Institute for Clinical Research, National Institutes of Health, Ministry of Health, No. 1, Jalan Setia Murni U13/52, Seksyen U13, Setia Alam, 40170 Shah Alam, Selangor, Malaysia
| | - Ming Tsuey Lim
- Institute for Clinical Research, National Institutes of Health, Ministry of Health, No. 1, Jalan Setia Murni U13/52, Seksyen U13, Setia Alam, 40170 Shah Alam, Selangor, Malaysia
| | - Sunita Shanmugam
- Institute for Health Management, National Institutes of Health, Ministry of Health, No. 1, Jalan Setia Murni U13/52, Seksyen U13, Setia Alam, 40170 Shah Alam, Selangor, Malaysia
| | - Noraziani Khamis
- Institute for Health Management, National Institutes of Health, Ministry of Health, No. 1, Jalan Setia Murni U13/52, Seksyen U13, Setia Alam, 40170 Shah Alam, Selangor, Malaysia
| | - Faeiz Syezri Adzmin Jaafar
- Institute for Health Management, National Institutes of Health, Ministry of Health, No. 1, Jalan Setia Murni U13/52, Seksyen U13, Setia Alam, 40170 Shah Alam, Selangor, Malaysia
| | - Nor Idawaty Ibrahim
- Family Health Development Division, Ministry of Health Malaysia, Kompleks E, Pusat Pentadbiran Kerajaan Persekutuan, 62590 Putrajaya, Malaysia
| | - Nazrila Hairizan Nasir
- Family Health Development Division, Ministry of Health Malaysia, Kompleks E, Pusat Pentadbiran Kerajaan Persekutuan, 62590 Putrajaya, Malaysia
| | - Dian Kusuma
- Harvard T.H. Chan School of Public Health, 677 Huntington Ave, Boston, MA 02115, United States; Department of Health Services Research and Management, School of Health & Psychological Sciences, City University of London, London, United Kingdom
| | - Anita Katharina Wagner
- Harvard Medical School and Harvard Pilgrim Health Care Institute, Landmark Center, 401 Park Dr #401, Boston, MA 02215, United States
| | - Dennis Ross-Degnan
- Harvard Medical School and Harvard Pilgrim Health Care Institute, Landmark Center, 401 Park Dr #401, Boston, MA 02215, United States
| | - Rifat Atun
- Harvard T.H. Chan School of Public Health, 677 Huntington Ave, Boston, MA 02115, United States
| | - Sheamini Sivasampu
- Institute for Clinical Research, National Institutes of Health, Ministry of Health, No. 1, Jalan Setia Murni U13/52, Seksyen U13, Setia Alam, 40170 Shah Alam, Selangor, Malaysia
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16
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Gregg EW, Buckley J, Ali MK, Davies J, Flood D, Mehta R, Griffiths B, Lim LL, Manne-Goehler J, Pearson-Stuttard J, Tandon N, Roglic G, Slama S, Shaw JE. Improving health outcomes of people with diabetes: target setting for the WHO Global Diabetes Compact. Lancet 2023; 401:1302-1312. [PMID: 36931289 PMCID: PMC10420388 DOI: 10.1016/s0140-6736(23)00001-6] [Citation(s) in RCA: 27] [Impact Index Per Article: 27.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/18/2022] [Revised: 09/17/2022] [Accepted: 12/20/2022] [Indexed: 03/15/2023]
Abstract
The Global Diabetes Compact is a WHO-driven initiative uniting stakeholders around goals of reducing diabetes risk and ensuring that people with diabetes have equitable access to comprehensive, affordable care and prevention. In this report we describe the development and scientific basis for key health metrics, coverage, and treatment targets accompanying the Compact. We considered metrics across four domains: factors at a structural, system, or policy level; processes of care; behaviours and biomarkers such as glycated haemoglobin (HbA1c); and health events and outcomes; and three risk tiers (diagnosed diabetes, high risk, or whole population), and reviewed and prioritised them according to their health importance, modifiability, data availability, and global inequality. We reviewed the global distribution of each metric to set targets for future attainment. This process led to five core national metrics and target levels for UN member states: (1) of all people with diabetes, at least 80% have been clinically diagnosed; and, for people with diagnosed diabetes, (2) 80% have HbA1c concentrations below 8·0% (63·9 mmol/mol); (3) 80% have blood pressure lower than 140/90 mm Hg; (4) at least 60% of people 40 years or older are receiving therapy with statins; and (5) each person with type 1 diabetes has continuous access to insulin, blood glucose meters, and test strips. We also propose several complementary metrics that currently have limited global coverage, but warrant scale-up in population-based surveillance systems. These include estimation of cause-specific mortality, and incidence of end-stage kidney disease, lower-extremity amputations, and incidence of diabetes. Primary prevention of diabetes and integrated care to prevent long-term complications remain important areas for the development of new metrics and targets. These metrics and targets are intended to drive multisectoral action applied to individuals, health systems, policies, and national health-care access to achieve the goals of the Global Diabetes Compact. Although ambitious, their achievement can result in broad health benefits for people with diabetes.
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Affiliation(s)
- Edward W Gregg
- School of Population Health, RCSI, University of Medicine and Health Sciences, Dublin, Ireland; School of Public Health, Imperial College London, London, UK.
| | - James Buckley
- School of Public Health, Imperial College London, London, UK
| | - Mohammed K Ali
- Hubert Department of Global Health and Department of Family and Preventive Medicine, School of Medicine, Emory University, Atlanta, GA, USA
| | - Justine Davies
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK; MRC/Wits Rural Public Health and Health Transitions Research Unit, Faculty of Health Sciences, School of Public Health, University of the Witwatersrand, Johannesburg, South Africa; Centre for Global Surgery, Department of Global Health, Stellenbosch University, Cape Town, South Africa
| | - David Flood
- Department of Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Roopa Mehta
- Unidad de Investigacion en Enfermedades Metabolicas, Instituto Nacional de Ciencias, Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Ben Griffiths
- School of Public Health, Imperial College London, London, UK
| | - Lee-Ling Lim
- Department of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia; Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
| | | | - Jonathan Pearson-Stuttard
- School of Public Health, Imperial College London, London, UK; Health Analytics, Lane Clark & Peacock, London, UK
| | - Nikhil Tandon
- All India Institute of Medical Sciences, New Delhi, India
| | - Gojka Roglic
- Department of Noncommunicable Diseases, WHO, Geneva, Switzerland
| | - Slim Slama
- Department of Noncommunicable Diseases, WHO, Geneva, Switzerland
| | - Jonathan E Shaw
- Baker Heart and Diabetes Institute and School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
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Ke C, Mohammad E, Chan JCN, Kong APS, Leung FH, Shah BR, Lee D, Luk AO, Ma RCW, Chow E, Wei X. Team-Based Diabetes Care in Ontario and Hong Kong: a Comparative Review. Curr Diab Rep 2023:10.1007/s11892-023-01508-0. [PMID: 37043089 PMCID: PMC10091345 DOI: 10.1007/s11892-023-01508-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/29/2023] [Indexed: 04/13/2023]
Abstract
PURPOSE OF REVIEW There are gaps in implementing and accessing team-based diabetes care. We reviewed and compared how team-based diabetes care was implemented in the primary care contexts of Ontario and Hong Kong. RECENT FINDINGS Ontario's Diabetes Education Programs (DEPs) were scaled-up incrementally. Hong Kong's Multidisciplinary Risk Assessment and Management Program for Diabetes Mellitus (RAMP-DM) evolved from a research-driven quality improvement program. Each jurisdiction had a mixture of non-team and team-based primary care with variable accessibility. Referral procedures, follow-up processes, and financing models varied. DEPs used a flexible approach, while the RAMP-DM used structured assessment for quality assurance. Each approach depended on adequate infrastructure, processes, and staff. Diabetes care is most accessible and functional when integrated team-based services are automatically initiated upon diabetes diagnosis within a strong primary care system, ideally linked to a register with supports including specialist care. Structured assessment and risk stratification are the basis of a well-studied, evidence-based approach for achieving the standards of team-based diabetes care, although flexibility in care delivery may be needed to meet the unique needs of some individuals. Policymakers and funders should ensure investment in skilled health professionals, infrastructure, and processes to improve care quality.
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Affiliation(s)
- Calvin Ke
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada.
- Department of Medicine, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada.
- ICES, Toronto, Ontario, Canada.
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR, China.
- , Toronto, Canada.
| | - Emaad Mohammad
- Department of Medicine, Queen's University, Kingston, Ontario, Canada
| | - Juliana C N Chan
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR, China
- Li Ka Shing Institute of Health Science, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR, China
- Asia Diabetes Foundation, Shatin, Hong Kong SAR, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Alice P S Kong
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR, China
- Li Ka Shing Institute of Health Science, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR, China
- Asia Diabetes Foundation, Shatin, Hong Kong SAR, China
| | - Fok-Han Leung
- Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Department of Community and Family Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Baiju R Shah
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
- ICES, Toronto, Ontario, Canada
- Department of Medicine, Sunnybrook Hospital, Toronto, Ontario, Canada
| | - Douglas Lee
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
- Department of Medicine, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada
- ICES, Toronto, Ontario, Canada
| | - Andrea O Luk
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR, China
- Li Ka Shing Institute of Health Science, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR, China
- Asia Diabetes Foundation, Shatin, Hong Kong SAR, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Ronald C W Ma
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR, China
- Li Ka Shing Institute of Health Science, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR, China
- Asia Diabetes Foundation, Shatin, Hong Kong SAR, China
| | - Elaine Chow
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR, China
- Li Ka Shing Institute of Health Science, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR, China
- Asia Diabetes Foundation, Shatin, Hong Kong SAR, China
| | - Xiaolin Wei
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
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18
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Lim LL, Chow E, Chan JCN. Cardiorenal diseases in type 2 diabetes mellitus: clinical trials and real-world practice. Nat Rev Endocrinol 2023; 19:151-163. [PMID: 36446898 DOI: 10.1038/s41574-022-00776-2] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 10/27/2022] [Indexed: 11/30/2022]
Abstract
Patients with type 2 diabetes mellitus (T2DM) can have multiple comorbidities and premature mortality due to atherosclerotic cardiovascular disease, hospitalization with heart failure and/or chronic kidney disease. Traditional drugs that lower glucose, such as metformin, or that treat high blood pressure and blood levels of lipids, such as renin-angiotensin-system inhibitors and statins, have organ-protective effects in patients with T2DM. Amongst patients with T2DM treated with these traditional drugs, randomized clinical trials have confirmed the additional cardiorenal benefits of sodium-glucose co-transporter 2 inhibitors (SGLT2i), glucagon-like peptide 1 receptor agonists (GLP1RA) and nonsteroidal mineralocorticoid receptor antagonists. The cardiorenal benefits of SGLT2i extended to patients with heart failure and/or chronic kidney disease without T2DM, whereas incretin-based therapy (such as GLP1RA) reduced cardiovascular events in patients with obesity and T2DM. However, considerable care gaps exist owing to insufficient detection, therapeutic inertia and poor adherence to these life-saving medications. In this Review, we discuss the complex interconnections of cardiorenal-metabolic diseases and strategies to implement evidence-based practice. Furthermore, we consider the need to conduct clinical trials combined with registers in specific patient segments to evaluate existing and emerging therapies to address unmet needs in T2DM.
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Affiliation(s)
- Lee-Ling Lim
- Department of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong Special Administrative Region, China
| | - Elaine Chow
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong Special Administrative Region, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong Special Administrative Region, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong Special Administrative Region, China
- Phase 1 Clinical Trial Centre, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong Special Administrative Region, China
| | - Juliana C N Chan
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong Special Administrative Region, China.
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong Special Administrative Region, China.
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong Special Administrative Region, China.
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19
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Danhieux K, Buffel V, Remmen R, Wouters E, van Olmen J. Scale-up of a chronic care model-based programme for type 2 diabetes in Belgium: a mixed-methods study. BMC Health Serv Res 2023; 23:141. [PMID: 36759890 PMCID: PMC9911183 DOI: 10.1186/s12913-023-09115-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Accepted: 01/27/2023] [Indexed: 02/11/2023] Open
Abstract
BACKGROUND Type 2 diabetes (T2D) is an increasingly dominant disease. Interventions are more effective when carried out by a prepared and proactive team within an organised system - the integrated care (IC) model. The Chronic Care Model (CCM) provides guidance for its implementation, but scale-up of IC is challenging, and this hampers outcomes for T2D care. In this paper, we used the CCM to investigate the current implementation of IC in primary care in Flanders (Belgium) and its variability in different practice types. METHODS Belgium contains three different primary-care practice types: monodisciplinary fee-for-service practices, multidisciplinary fee-for-service practices and multidisciplinary capitation-based practices. Disproportional sampling was used to select a maximum of 10 practices for each type in three Flemish regions, leading to a total of 66 practices. The study employed a mixed methods design whereby the Assessment of Chronic Illness Care (ACIC) was complemented with interviews with general practitioners, nurses and dieticians linked to the 66 practices. RESULTS The ACIC scores of the fee-for-service practices - containing 97% of Belgian patients - only corresponded to basic support for chronic illness care for T2D. Multidisciplinary and capitation-based practices scored considerably higher than traditional monodisciplinary fee-for-service practices. The region had no significant impact on the ACIC scores. Having a nurse, being a capitation practice and having a secretary had a significant effect in the regression analysis, which explained 75% of the variance in ACIC scores. Better-performing practices were successful due to clear role-defining, task delegation to the nurse, coordination, structured use of the electronic medical record, planning of consultations and integration of self-management support, and behaviour-change intervention (internally or using community initiatives). The longer nurses work in primary care practices, the higher the chance that they perform more advanced tasks. CONCLUSIONS Besides the presence of a nurse or secretary, also working multidisciplinary under one roof and a capitation-based financing system are important features of a system wherein IC for T2D can be scaled-up successfully. Belgian policymakers should rethink the role of paramedics in primary care and make the financing system more integrated. As the scale-up of the IC varied highly in different contexts, uniform roll-out across a health system containing multiple types of practices may not be successful.
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Affiliation(s)
- Katrien Danhieux
- Family Medicine and Population Health, University of Antwerp, Antwerp, Belgium. .,Institute of Tropical Medicine Antwerp, Antwerp, Belgium.
| | - Veerle Buffel
- grid.5284.b0000 0001 0790 3681Center for Population, Family and Health, University of Antwerp, Antwerp, Belgium
| | - Roy Remmen
- grid.5284.b0000 0001 0790 3681Family Medicine and Population Health, University of Antwerp, Antwerp, Belgium
| | - Edwin Wouters
- grid.5284.b0000 0001 0790 3681Center for Population, Family and Health, University of Antwerp, Antwerp, Belgium
| | - Josefien van Olmen
- grid.5284.b0000 0001 0790 3681Family Medicine and Population Health, University of Antwerp, Antwerp, Belgium ,grid.11505.300000 0001 2153 5088Institute of Tropical Medicine Antwerp, Antwerp, Belgium
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20
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Peeples AD, Muralidharan A, McCarthy S, Goldberg R, Kuykendall L, Vineyard N, Chinman M. Barriers and Enablers to Implementing Peer Specialists in Veterans Health Administration Primary Care: a Qualitative Study. J Gen Intern Med 2023; 38:707-714. [PMID: 36127539 PMCID: PMC9971381 DOI: 10.1007/s11606-022-07782-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Accepted: 09/06/2022] [Indexed: 10/14/2022]
Abstract
BACKGROUND Peer specialists (PSs) are increasingly deployed in a variety of settings to provide patient-centered care. In the Veterans Health Administration (VHA), efforts are underway to integrate PSs into primary care settings. Little is known about the barriers and enablers to implementing PS services in primary care. OBJECTIVE To characterize barriers and enablers to implementing PSs in primary care. DESIGN Qualitative study using semi-structured interviews. PARTICIPANTS PSs and their supervisors from 25 VHA primary care settings. APPROACH PSs and supervisors were interviewed about their experiences integrating PSs in primary care. Rapid analysis was conducted to identify barriers and enablers to PS integration, as well as to examine the role of external facilitation in implementation experiences. KEY RESULTS Fifty-two interviews were completed (25 PSs from 19 sites and 27 supervisors from 24 sites). Barriers and enablers to PS integration in VHA primary care settings included PS role clarity and constraints, provider buy-in, supervision, leadership support, and primary care culture. The barriers and enablers were consistent across both external facilitation and control sites. CONCLUSIONS Results describe how the characteristics of the innovation, the recipients, and the context impact successful implementation of PSs in primary care settings. The identification of barriers and enablers holds promise for improving future efforts to embed PSs in primary care. TRIAL REGISTRATION This project is registered at ClinicalTrials.gov with number NCT02732600 (URL: https://clinicaltrials.gov/ct2/show/NCT02732600 ).
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Affiliation(s)
- Amanda D Peeples
- VISN 5 Mental Illness Research, Education and Clinical Center (MIRECC), Department of Veterans Affairs (VA) Maryland Health Care System, Baltimore, MD, USA.
- University of Maryland Baltimore, Baltimore, MD, USA.
| | - Anjana Muralidharan
- VISN 5 Mental Illness Research, Education and Clinical Center (MIRECC), Department of Veterans Affairs (VA) Maryland Health Care System, Baltimore, MD, USA
- University of Maryland Baltimore, Baltimore, MD, USA
| | - Sharon McCarthy
- VISN 4 Mental Illness Research, Education and Clinical Center (MIRECC), VA Pittsburgh, Pittsburgh, PA, USA
- Center for Health Equity Research and Promotion, VA Pittsburgh, Pittsburgh, PA, USA
| | - Richard Goldberg
- VISN 5 Mental Illness Research, Education and Clinical Center (MIRECC), Department of Veterans Affairs (VA) Maryland Health Care System, Baltimore, MD, USA
- University of Maryland Baltimore, Baltimore, MD, USA
| | - Lorrianne Kuykendall
- VISN 5 Mental Illness Research, Education and Clinical Center (MIRECC), Department of Veterans Affairs (VA) Maryland Health Care System, Baltimore, MD, USA
| | - Natalie Vineyard
- VISN 5 Mental Illness Research, Education and Clinical Center (MIRECC), Department of Veterans Affairs (VA) Maryland Health Care System, Baltimore, MD, USA
| | - Matthew Chinman
- VISN 4 Mental Illness Research, Education and Clinical Center (MIRECC), VA Pittsburgh, Pittsburgh, PA, USA
- Center for Health Equity Research and Promotion, VA Pittsburgh, Pittsburgh, PA, USA
- RAND Corporation, Pittsburgh, PA, USA
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21
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Adler AJ, Drown L, Boudreaux C, Coates MM, Marx A, Akala O, Waqanivalu T, Xu H, Bukhman G. Understanding integrated service delivery: a scoping review of models for noncommunicable disease and mental health interventions in low-and-middle income countries. BMC Health Serv Res 2023; 23:99. [PMID: 36717832 PMCID: PMC9885613 DOI: 10.1186/s12913-023-09072-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Accepted: 01/16/2023] [Indexed: 01/31/2023] Open
Abstract
BACKGROUND Noncommunicable diseases (NCDs) and mental health conditions represent a growing proportion of disease burden in low- and middle-income countries (LMICs). While past efforts have identified interventions to be delivered across health system levels to address this burden, the challenge remains of how to deliver heterogenous interventions in resource-constrained settings. One possible solution is the Integration of interventions within existing care delivery models. This study reviews and summarizes published literature on models of integrated NCD and mental health care in LMICs. METHODS We searched Pubmed, African Index Medicus and reference lists to conduct a scoping review of studies describing an integrated model of NCD or neuropsychiatric conditions (NPs) implemented in a LMIC. Conditions of interest were grouped into common and severe NCDs and NPs. We identified domains of interest and types of service integration, conducting a narrative synthesis of study types. Studies were screened and characteristics were extracted for all relevant studies. Results are reported using PRISMA-ScR. RESULTS Our search yielded 5004 studies, we included 219 models of integration from 188 studies. Most studies were conducted in middle-income countries, with the majority in sub-Saharan Africa. Health services were offered across all health system levels, with most models implemented at health centers. Common NCDs (including type 2 diabetes and hypertension) were most frequently addressed by these models, followed by common NPs (including depression and anxiety). Conditions and/or services were often integrated into existing primary healthcare, HIV, maternal and child health programs. Services provided for conditions of interest varied and frequency of these services differed across health system levels. Many models demonstrated decentralization of services to lower health system levels, and task shifting to lower cadre providers. CONCLUSIONS While integrated service design is a promising method to achieve ambitious global goals, little is known about what works, when, and why. This review characterizing care integration programs is an initial step toward developing a structured study of care integration.
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Affiliation(s)
- Alma J. Adler
- grid.62560.370000 0004 0378 8294Division of Global Health Equity, Department of Medicine, Brigham and Women’s Hospital, 75 Francis St, Boston, MA USA
| | - Laura Drown
- grid.62560.370000 0004 0378 8294Division of Global Health Equity, Department of Medicine, Brigham and Women’s Hospital, 75 Francis St, Boston, MA USA
| | - Chantelle Boudreaux
- grid.62560.370000 0004 0378 8294Division of Global Health Equity, Department of Medicine, Brigham and Women’s Hospital, 75 Francis St, Boston, MA USA
| | - Matthew M. Coates
- grid.62560.370000 0004 0378 8294Division of Global Health Equity, Department of Medicine, Brigham and Women’s Hospital, 75 Francis St, Boston, MA USA
| | - Andrew Marx
- grid.38142.3c000000041936754XProgram in Global Noncommunicable Disease and Social Change, Department of Global Health and Social Medicine, Harvard Medical School, 641 Huntington Ave, Boston, MA USA
| | - Oyetayo Akala
- grid.3575.40000000121633745Noncommunicable Diseases Department, World Health Organization, 20, Avenue Appia-1211, Geneva, Switzerland
| | - Temo Waqanivalu
- grid.3575.40000000121633745Noncommunicable Diseases Department, World Health Organization, 20, Avenue Appia-1211, Geneva, Switzerland
| | - Hongyi Xu
- grid.3575.40000000121633745Noncommunicable Diseases Department, World Health Organization, 20, Avenue Appia-1211, Geneva, Switzerland
| | - Gene Bukhman
- grid.62560.370000 0004 0378 8294Division of Global Health Equity, Department of Medicine, Brigham and Women’s Hospital, 75 Francis St, Boston, MA USA
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22
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Lee JJN, Abdul Aziz A, Chan S, Raja Abdul Sahrizan RSFB, Ooi AYY, Teh Y, Iqbal U, Ismail NA, Yang A, Yang J, Teh DBL, Lim L. Effects of mobile health interventions on health-related outcomes in older adults with type 2 diabetes: A systematic review and meta-analysis. J Diabetes 2023; 15:47-57. [PMID: 36649940 PMCID: PMC9870745 DOI: 10.1111/1753-0407.13346] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Revised: 09/29/2022] [Accepted: 12/02/2022] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND Type 2 diabetes mellitus (T2DM) is a chronic metabolic condition that is associated with multiple comorbidities. Apart from pharmacological approaches, patient self-management remains the gold standard of care for diabetes. Improving patients' self-management among the elderly with mobile health (mHealth) interventions is critical, especially in times of the COVID-19 pandemic. However, the extent of mHealth efficacy in managing T2DM in the older population remains unknown. Hence, the present review examined the effectiveness of mHealth interventions on cardiometabolic outcomes in older adults with T2DM. METHODS A systematic search from the inception till May 31, 2021, in the MEDLINE, Embase, and PubMed databases was conducted, and 16 randomized controlled trials were included in the analysis. RESULTS The results showed significant benefits on glycosylated hemoglobin (HbA1c) (mean difference -0.24%; 95% confidence interval [CI]: -0.44, -0.05; p = 0.01), postprandial blood glucose (-2.91 mmol/L; 95% CI: -4.78, -1.03; p = 0.002), and triglycerides (-0.09 mmol/L; 95% CI: -0.17, -0.02; p = 0.010), but not on low-density lipoprotein cholesterol (-0.06 mmol/L; 95% CI: -0.14, 0.02; p = 0.170), high-density lipoprotein cholesterol (0.05 mmol/L; 95% CI: -0.03, 0.13; p = 0.220), and blood pressure (systolic blood pressure -0.82 mm Hg; 95% CI: -4.65, 3.00; p = 0.670; diastolic blood pressure -1.71 mmHg; 95% CI: -3.71, 0.29; p = 0.090). CONCLUSIONS Among older adults with T2DM, mHealth interventions were associated with improved cardiometabolic outcomes versus usual care. Its efficacy can be improved in the future as the current stage of mHealth development is at its infancy. Addressing barriers such as technological frustrations may help strategize approaches to further increase the uptake and efficacy of mHealth interventions among older adults with T2DM.
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Affiliation(s)
- Jovin Jie Ning Lee
- Bia‐Echo Asia Center for Reproductive Longevity & Equality (ACRLE), Yong Loo Lin School of MedicineNational University of SingaporeSingapore
| | - Alia Abdul Aziz
- Department of Medicine, Faculty of MedicineUniversity of MalayaKuala LumpurMalaysia
| | - Sok‐Teng Chan
- Department of Medicine, Faculty of MedicineUniversity of MalayaKuala LumpurMalaysia
| | | | | | - Yi‐Ting Teh
- Department of Medicine, Faculty of MedicineUniversity of MalayaKuala LumpurMalaysia
| | - Usman Iqbal
- Global Health & Health Security Department, College of Public HealthTaipei Medical UniversityTaipeiTaiwan
- Health ICT, Department of HealthCanberraTasmaniaAustralia
| | - Noor Azina Ismail
- Department of Economics and Applied Statistics, Faculty of Business and EconomicsUniversity of MalayaKuala LumpurMalaysia
| | - Aimin Yang
- Department of Medicine and TherapeuticsThe Chinese University of Hong KongHong KongChina
| | - Jingli Yang
- College of Earth and Environmental SciencesLanzhou UniversityLanzhouChina
- School of Public Health and Social WorkQueensland University of TechnologyBrisbaneQueenslandAustralia
| | - Daniel Boon Loong Teh
- Bia‐Echo Asia Center for Reproductive Longevity & Equality (ACRLE), Yong Loo Lin School of MedicineNational University of SingaporeSingapore
- Department of Ophthalmology, Yong Loo Lin School of MedicineNational University of SingaporeSingapore
- Department of Anatomy, Yong Loo Lin School of MedicineNational University of SingaporeSingapore
- Neurobiology Programme, Life Science InstituteNational University of SingaporeSingapore
| | - Lee‐Ling Lim
- Department of Medicine, Faculty of MedicineUniversity of MalayaKuala LumpurMalaysia
- Department of Medicine and TherapeuticsThe Chinese University of Hong KongHong KongChina
- Asia Diabetes FoundationHong KongChina
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23
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Lim LL, Lau ES, Kong AP, Fu AW, Lau V, Jia W, Sheu WH, Sobrepena L, Yoon K, Tan AT, Chia YC, Sosale A, Saboo BD, Kesavadev J, Goh SY, Nguyen TK, Thewjitcharoen Y, Suwita R, Ma RC, Chow EY, Luk AO, Chan JC. Gender-associated cardiometabolic risk profiles and health behaviors in patients with type 2 diabetes: a cross-sectional analysis of the Joint Asia Diabetes Evaluation (JADE) program. THE LANCET REGIONAL HEALTH. WESTERN PACIFIC 2022; 32:100663. [PMID: 36785858 PMCID: PMC9918795 DOI: 10.1016/j.lanwpc.2022.100663] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/13/2022] [Revised: 10/31/2022] [Accepted: 11/24/2022] [Indexed: 12/24/2022]
Abstract
Background In Asia, diabetes-associated death due to cardiorenal diseases were 2-3 times higher in women than men which might be due to gender disparity in quality of care and health habits. Methods Adults with type 2 diabetes (T2D) from 11 Asian countries/areas were assessed using the same protocol (2007-2015). We compared treatment target attainment (HbA1c < 7%, blood pressure [BP] < 130/80 mmHg, risk-based LDL-cholesterol, lack of central obesity [waist circumference <90 cm in men or <80 cm in women), use of cardiorenal-protective drugs (renin-angiotensin system [RAS] inhibitors, statins), and self-reported health habits including self-monitoring blood glucose (SMBG) by gender. Analyses were stratified by countries/areas, age of natural menopause (<50 vs. ≥50 years), and comorbidities (atherosclerotic cardiovascular disease [ASCVD], heart failure, kidney impairment [eGFR < 60 mL/min/1.73 m2]). Findings Among 106,376 patients (53.2% men; median (interquartile range) diabetes duration: 6.0 (2.0-12.0) years; mean ± SD HbA1c 8.0 ± 1.9%; 27% insulin-treated), women were older and less likely to receive college education than men (28.9% vs. 48.8%). Women were less likely to smoke/drink alcohol and were physically less active than men. Women had lower BP (<130/80 mmHg: 29.4% vs. 25.7%), less general obesity (54.8% vs. 57.8%) but more central obesity than men (77.5% vs. 57.3%). Women were less likely to have ASCVD (12.8% vs. 17.0%) or heart failure (1.3% vs. 2.3%), but more likely to have kidney impairment (22.3% vs. 17.6%) and any-site cancer than men (2.5% vs. 1.6%). In most countries/areas, more men attained HbA1c <7% and risk-based LDL-cholesterol level than women. After adjusting for potential confounders including countries and centres, men had 1.63 odds ratio (95% CI 1.51, 1.74) of attaining ≥3 treatment targets than women. Interpretation Asian women with T2D had worse quality of care than men especially in middle-income countries/areas, calling for targeted implementation programs to close these care gaps. Sponsor Asia Diabetes Foundation. Funding Nil.
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Affiliation(s)
- Lee-Ling Lim
- Department of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia,Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong Special Administrative Region, China,Asia Diabetes Foundation, Shatin, Hong Kong Special Administrative Region, China
| | - Eric S.H. Lau
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong Special Administrative Region, China,Asia Diabetes Foundation, Shatin, Hong Kong Special Administrative Region, China
| | - Alice P.S. Kong
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong Special Administrative Region, China,Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong Special Administrative Region, China,Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong Special Administrative Region, China
| | - Amy W.C. Fu
- Asia Diabetes Foundation, Shatin, Hong Kong Special Administrative Region, China
| | - Vanessa Lau
- Asia Diabetes Foundation, Shatin, Hong Kong Special Administrative Region, China
| | - Weiping Jia
- Department of Endocrinology and Metabolism, Shanghai Clinical Centre for Diabetes, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Wayne H.H. Sheu
- Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
| | | | - K.H. Yoon
- Department of Endocrinology and Metabolism, Seoul St. Mary's Hospital, The Catholic University of Korea, Seoul, Korea
| | | | - Yook-Chin Chia
- Department of Medical Sciences, School of Medical and Life Sciences, Sunway University, Selangor, Malaysia,Department of Primary Care Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | | | | | | | - Su-Yen Goh
- Department of Endocrinology, Singapore General Hospital, Singapore
| | | | | | - Raymond Suwita
- Cerebrocardiovascular Diabetes Group Clinic (CDG), Jakarta, Indonesia
| | - Ronald C.W. Ma
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong Special Administrative Region, China,Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong Special Administrative Region, China,Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong Special Administrative Region, China
| | - Elaine Y.K. Chow
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong Special Administrative Region, China,Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong Special Administrative Region, China
| | - Andrea O.Y. Luk
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong Special Administrative Region, China,Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong Special Administrative Region, China
| | - Juliana C.N. Chan
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong Special Administrative Region, China,Asia Diabetes Foundation, Shatin, Hong Kong Special Administrative Region, China,Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong Special Administrative Region, China,Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong Special Administrative Region, China,Corresponding author. Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR, China.
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24
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Goh LH, Siah CJR, Tam WWS, Tai ES, Young DYL. Effectiveness of the chronic care model for adults with type 2 diabetes in primary care: a systematic review and meta-analysis. Syst Rev 2022; 11:273. [PMID: 36522687 PMCID: PMC9753411 DOI: 10.1186/s13643-022-02117-w] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Accepted: 11/02/2022] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Mixed evidence exists regarding the effectiveness of the Chronic Care Model (CCM) with patient outcomes. The aim of this review is to examine the effectiveness of CCM interventions on hemoglobin A1c (HbA1c), systolic BP (SBP), diastolic BP (DBP), LDL cholesterol and body mass index (BMI) among primary care adults with type 2 diabetes. METHODS PubMed, Embase, CINAHL, Cochrane Central Registry of Controlled Trials, Scopus and Web of Science were searched from January 1990 to June 2021 for randomized controlled trials (RCTs) comparing CCM interventions against usual care among adults with type 2 diabetes mellitus in primary care with HbA1c, SBP, DBP, LDL cholesterol and BMI as outcomes. An abbreviated search was performed from 2021 to April 2022. This study followed the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines for data extraction and Cochrane risk of bias assessment. Two reviewers independently extracted the data. Meta-analysis was performed using Review Manager software. Heterogeneity was evaluated using χ2 and I2 test statistics. Overall effects were evaluated using Z statistic. RESULTS A total of 17 studies involving 16485 patients were identified. Most studies had low risks of bias. Meta-analysis of all 17 studies revealed that CCM interventions significantly decreased HbA1c levels compared to usual care, with a mean difference (MD) of -0.21%, 95% CI -0.30, -0.13; Z = 5.07, p<0.00001. Larger effects were experienced among adults with baseline HbA1c ≥8% (MD -0.36%, 95% CI -0.51, -0.21; Z = 5.05, p<0.00001) and when four or more CCM elements were present in the interventions (MD -0.25%, 95% CI -0.35, -0.15; Z = 4.85, p<0.00001). Interventions with CCM decreased SBP (MD -2.93 mmHg, 95% CI -4.46, -1.40, Z = 3.75, p=0.0002) and DBP (MD -1.35 mmHg, 95% CI -2.05, -0.65, Z = 3.79, p=0.0002) compared to usual care but there was no impact on LDL cholesterol levels or BMI. CONCLUSIONS CCM interventions, compared to usual care, improve glycaemic control among adults with type 2 diabetes in primary care, with greater reductions when the mean baseline HbA1c is ≥8% and with interventions containing four or more CCM elements. SYSTEMATIC REVIEW REGISTRATION PROSPERO CRD42021273959.
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Affiliation(s)
- Lay Hoon Goh
- Division of Family Medicine, Yong Loo Lin School of Medicine, National University of Singapore, NUHS Tower Block Level 9, 1E Kent Ridge Road, Singapore, 119228, Singapore.
| | - Chiew Jiat Rosalind Siah
- Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Wilson Wai San Tam
- Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - E Shyong Tai
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Doris Yee Ling Young
- Division of Family Medicine, Yong Loo Lin School of Medicine, National University of Singapore, NUHS Tower Block Level 9, 1E Kent Ridge Road, Singapore, 119228, Singapore
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Romero-Castillo R, Pabón-Carrasco M, Jiménez-Picón N, Ponce-Blandón JA. Effects of a Diabetes Self-Management Education Program on Glucose Levels and Self-Care in Type 1 Diabetes: A Pilot Randomized Controlled Trial. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:16364. [PMID: 36498437 PMCID: PMC9738291 DOI: 10.3390/ijerph192316364] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 12/04/2022] [Accepted: 12/05/2022] [Indexed: 06/17/2023]
Abstract
(1) Background: Several factors have been associated with the success of health education programs, such contact time, with better results being obtained from more intensive programs and early outcome measurement. Nurses play an essential role in educating patients with diabetes both in disease-management, therapeutic education, and healthy lifestyles promotion as well as emotion management. The objective was to evaluate the effectiveness of a nurse-led educational program based on patients with type 1 diabetes; (2) Methods: An experimental, two-group comparison design, 69 patients participated in the intervention group and 62 in control group. The control group received routine health education and follow-up. The intervention group received intensive educational program led by nurses. The effects were evaluated after 1 and 3 months of intervention; (3) Results: The differences between groups in sensor usage, knowledge, and diabetes self-care three months after the educational program were significant; (4) Conclusions: The program could help type 1 diabetes patients to improve the control rates for blood glucose. The continuous glucose monitoring sensor allowed knowing which parameters improved one and three months after the intervention. The hypothesis of the influence of the emotional state on glucose levels was confirmed.
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Affiliation(s)
- Rocío Romero-Castillo
- Centro Universitario de Enfermería de Cruz Roja, Universidad de Sevilla, Avenida de la Cruz Roja, No. 1, 41009 Seville, Spain
- Departamento de Enfermería de la Universidad de Sevilla, Calle Avenzoar, No. 6, 41009 Seville, Spain
| | - Manuel Pabón-Carrasco
- Centro Universitario de Enfermería de Cruz Roja, Universidad de Sevilla, Avenida de la Cruz Roja, No. 1, 41009 Seville, Spain
- Departamento de Enfermería de la Universidad de Sevilla, Calle Avenzoar, No. 6, 41009 Seville, Spain
| | - Nerea Jiménez-Picón
- Centro Universitario de Enfermería de Cruz Roja, Universidad de Sevilla, Avenida de la Cruz Roja, No. 1, 41009 Seville, Spain
| | - José Antonio Ponce-Blandón
- Centro Universitario de Enfermería de Cruz Roja, Universidad de Sevilla, Avenida de la Cruz Roja, No. 1, 41009 Seville, Spain
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Silva-Tinoco R, Cuatecontzi-Xochitiotzi T, Bernal-Ceballos F, Torre-Saldaña VDL, Galindez-Fuentes A, Castillo-Martínez L. Adherence to antidiabetic treatment in primary health care in individuals with type 2 diabetes. A survey including socio-demographic, patient related and clinical factors. Prim Care Diabetes 2022; 16:780-785. [PMID: 36127243 DOI: 10.1016/j.pcd.2022.09.002] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Revised: 08/16/2022] [Accepted: 09/04/2022] [Indexed: 11/24/2022]
Abstract
BACKGROUND Adherence to medications is a critical element in diabetes management. OBJECTIVE To investigate patient-related factors associated with adherence to antidiabetic treatment in patients with type 2 diabetes in primary health-care units. METHODS A cross-sectional study among patients receiving diabetes care in 18 primary care units in Mexico City was conducted. Data were collected from medical records and medical interviews. Adherence to antidiabetic therapy and patient-related factors associated with adherence were evaluated through a self-administered questionnaire. Socio-demographic, clinical, behavioral (self-care activities including a healthy diet, exercise or physical activity, self-monitoring of blood glucose testing, and foot care), and patients-adherence-related factors (health-care provider-patient communication; daily and social activities, and support network; alternative treatment beliefs; comorbidity, diabetes symptoms, and treatment; side effects and treatment access) were compared between the adherent and non-adherent group. RESULTS Of 319 outpatients, 48.3% were adherent to their antidiabetic therapy. In the adjusted analysis, patient-related factors associated to adherence were exercise and physical activity self-care behavior (OR=1.26; 95%CI 1.09-1.46), treatment interference with daily activities (OR=0.27; 95%CI 0.14-0.52), not satisfied with resolution of questions by the physician (OR=0.42; 95%CI 0.19-0.94), independently to increased cardiovascular risk and insulin treatment. CONCLUSION A low proportion of outpatients with T2D with regular primary care were adherent to diabetes treatment and this was associated with patient-related factors like answering patients' treatment-related questions by the physician. This information may be useful to identify patients at risk for low adherence, and to guide the design of quality-of-care strategies, like diabetes education programs to address suboptimal adherence in patients, and health-care professional communication skills training, particularly in primary care health systems.
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Affiliation(s)
- Ruben Silva-Tinoco
- Clinic Specialized in the Diabetes Management of the Mexico City Government, Servicios de Salud Pública de la Ciudad de México, Mexico.
| | - Teresa Cuatecontzi-Xochitiotzi
- Clinic Specialized in the Diabetes Management of the Mexico City Government, Servicios de Salud Pública de la Ciudad de México, Mexico.
| | | | - Viridiana de la Torre-Saldaña
- Clinic Specialized in the Diabetes Management of the Mexico City Government, Servicios de Salud Pública de la Ciudad de México, Mexico.
| | - Ana Galindez-Fuentes
- Clinic Specialized in the Diabetes Management of the Mexico City Government, Servicios de Salud Pública de la Ciudad de México, Mexico.
| | - Lilia Castillo-Martínez
- Department of Clinical Nutrition, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubiran, México; Facultad de Medicina, Universidad Nacional Autónoma de México, México.
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Lim LL, Lau ESH, Ozaki R, So TTY, Wong RYM, Chow EYK, Ma RCW, Luk AOY, Chan JCN, Kong APS. Team-based multicomponent care improved and sustained glycaemic control in obese people with type 2 diabetes (T2D) in a Diabetes Centre setting: A quality improvement program with quasi-experimental design. Diabetes Res Clin Pract 2022; 194:110138. [PMID: 36328212 DOI: 10.1016/j.diabres.2022.110138] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Revised: 10/19/2022] [Accepted: 10/25/2022] [Indexed: 12/14/2022]
Abstract
OBJECTIVE To evaluate the effect of a team-based multi-component intervention care (MIC) program in obese patients with type 2 diabetes (T2D) and poor glycemic control. METHODS Patients with T2D and HbA1c ≥ 8 % and body mass index (BMI) ≥ 27 kg/m2 and/or waist circumference ≥ 80 cm in women and ≥90 cm in men were recruited. The intervention in Diabetes Centre included 1) nurse-led, group-based workshops; 2) review by endocrinologists; 3) telephone reminders by healthcare assistants and 4) peer support during visits. The usual care (UC) group received consultations at outpatient clinic without workshops or peer support. The MIC group received UC after 1-year of intervention. The primary outcome was change of HbA1c from baseline at 1- and 3-year. RESULTS Of 207 eligible patients [age (mean ± standard deviation): 56.9 ± 8.8 years, 47.4 % men, disease duration: 13.5 ± 8.2 years, HbA1c: 9.6 ± 1.3 %, BMI: 28.8 ± 4.3 kg/m2, waist circumference: 101.5 ± 9.9 cm (men), 95.3 ± 9.8 cm (women)], 104 received MIC and 103 received UC. 95 % patients had repeat assessments at 1- and 3-year. After adjustment for confounders, MIC had greater HbA1c reduction (β -0.51, 95 % confidence interval [CI] -1.00 to -0.01; P = 0.045) than UC at 1-year, with sustained improvement at 3-year (β -0.56, CI -1.10 to -0.02; P = 0.044). CONCLUSION Team-based MIC for 1 year improved glycemic control in obese T2D which was sustained at 3-year.
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Affiliation(s)
- Lee-Ling Lim
- Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong (CUHK), Hong Kong Special Administrative Region; Asia Diabetes Foundation, Hong Kong Special Administrative Region; Department of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Eric S H Lau
- Asia Diabetes Foundation, Hong Kong Special Administrative Region
| | - Risa Ozaki
- Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong (CUHK), Hong Kong Special Administrative Region
| | - Tammy T Y So
- Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong (CUHK), Hong Kong Special Administrative Region
| | - Rebecca Y M Wong
- Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong (CUHK), Hong Kong Special Administrative Region
| | - Elaine Y K Chow
- Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong (CUHK), Hong Kong Special Administrative Region
| | - Ronald C W Ma
- Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong (CUHK), Hong Kong Special Administrative Region; Li Ka Shing Institute of Health Sciences, Faculty of Medicine, CUHK, Hong Kong Special Administrative Region
| | - Andrea O Y Luk
- Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong (CUHK), Hong Kong Special Administrative Region; Li Ka Shing Institute of Health Sciences, Faculty of Medicine, CUHK, Hong Kong Special Administrative Region
| | - Juliana C N Chan
- Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong (CUHK), Hong Kong Special Administrative Region; Asia Diabetes Foundation, Hong Kong Special Administrative Region; Li Ka Shing Institute of Health Sciences, Faculty of Medicine, CUHK, Hong Kong Special Administrative Region
| | - Alice P S Kong
- Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong (CUHK), Hong Kong Special Administrative Region; Li Ka Shing Institute of Health Sciences, Faculty of Medicine, CUHK, Hong Kong Special Administrative Region.
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Yang Y, Hoo J, Tan J, Lim L. Multicomponent integrated care for patients with chronic heart failure: systematic review and meta‐analysis. ESC Heart Fail 2022; 10:791-807. [PMID: 36377317 PMCID: PMC10053198 DOI: 10.1002/ehf2.14207] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2022] [Revised: 09/13/2022] [Accepted: 10/02/2022] [Indexed: 11/16/2022] Open
Abstract
To investigate the effectiveness of multicomponent integrated care on clinical outcomes among patients with chronic heart failure. We conducted a meta-analysis of randomized clinical trials, published in English language from inception to 20 April 2022, with at least 3-month implementation of multicomponent integrated care (defined as two or more quality improvement strategies from different domains, viz. the healthcare system, healthcare providers, and patients). The study outcomes were mortality (all-cause or cardiovascular) and healthcare utilization (hospital readmission or emergency department visits). We pooled the risk ratio (RR) using Mantel-Haenszel test. A total of 105 trials (n = 37 607 patients with chronic heart failure; mean age 67.9 ± 7.3 years; median duration of intervention 12 months [interquartile range 6-12 months]) were analysed. Compared with usual care, multicomponent integrated care was associated with reduced risk for all-cause mortality [RR 0.90, 95% confidence interval (CI) 0.86-0.95], cardiovascular mortality (RR 0.73, 95% CI 0.60-0.88), all-cause hospital readmission (RR 0.95, 95% CI 0.91-1.00), heart failure-related hospital readmission (RR 0.84, 95% CI 0.79-0.89), and all-cause emergency department visits (RR 0.91, 95% CI 0.84-0.98). Heart failure-related mortality (RR 0.94, 95% CI 0.74-1.18) and cardiovascular-related hospital readmission (RR 0.90, 95% CI 0.79-1.03) were not significant. The top three quality improvement strategies for all-cause mortality were promotion of self-management (RR 0.86, 95% CI 0.79-0.93), facilitated patient-provider communication (RR 0.87, 95% CI 0.81-0.93), and e-health (RR 0.88, 95% CI 0.81-0.96). Multicomponent integrated care reduced risks for mortality (all-cause and cardiovascular related), hospital readmission (all-cause and heart failure related), and all-cause emergency department visits among patients with chronic heart failure.
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Affiliation(s)
- Ya‐Feng Yang
- Department of Medicine, Faculty of Medicine Universiti Malaya Kuala Lumpur Malaysia
| | - Jia‐Xin Hoo
- Department of Medicine, Faculty of Medicine Universiti Malaya Kuala Lumpur Malaysia
| | - Jia‐Yin Tan
- Department of Medicine, Faculty of Medicine Universiti Malaya Kuala Lumpur Malaysia
| | - Lee‐Ling Lim
- Department of Medicine, Faculty of Medicine Universiti Malaya Kuala Lumpur Malaysia
- Department of Medicine and Therapeutics The Chinese University of Hong Kong Hong Kong SAR China
- Asia Diabetes Foundation Hong Kong SAR China
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Rossing P, Caramori ML, Chan JC, Heerspink HJ, Hurst C, Khunti K, Liew A, Michos ED, Navaneethan SD, Olowu WA, Sadusky T, Tandon N, Tuttle KR, Wanner C, Wilkens KG, Zoungas S, de Boer IH. KDIGO 2022 Clinical Practice Guideline for Diabetes Management in Chronic Kidney Disease. Kidney Int 2022; 102:S1-S127. [PMID: 36272764 DOI: 10.1016/j.kint.2022.06.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Accepted: 06/21/2022] [Indexed: 02/07/2023]
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30
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Yen FS, Cheng-Chung Wei J, Hung YT, Hsu CC, Hwu CM. Long-term outcomes of the pay-for-performance program for patients with young-onset (20-40 years of age) type 2 diabetes. Diabetes Res Clin Pract 2022; 193:110136. [PMID: 36341981 DOI: 10.1016/j.diabres.2022.110136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Revised: 10/12/2022] [Accepted: 10/20/2022] [Indexed: 11/03/2022]
Abstract
AIMS To investigate the long-term outcomes of Pay-for-Performance (P4P) care in patients with young-onset (20-40 years of age) diabetes (YOD). METHODS We recruited 3088 pairs of propensity-score matched patients with and without P4P care from the National Health Insurance Research Database between January 1, 2001, and December 31, 2017. The study used a multivariable Cox regression model to compare the risks of mortality, hospitalization for cardiovascular events, and major microvascular outcomes in YOD patients with and without P4P care. RESULTS The multivariable-adjusted model showed that patients with P4P care had significantly lower risks of mortality (aHR 0.31, 95% CI 0.25-0.38) and hospitalization for cardiovascular events (aHR 0.63, 95% CI 0.5-0.79) but a significantly higher risk of major microvascular outcomes (aHR 1.31, 95% CI 1.07-1.6). Patients with a longer cumulative duration of P4P and complete P4P care showed further lower risks of mortality, hospitalization for cardiovascular events, and major microvascular outcomes than those without P4P care. CONCLUSIONS This nationwide cohort study showed that young-onset diabetes patients with P4P care had lower risks of death and cardiovascular events but a higher risk of major microvascular outcomes. However, patients with a longer duration of P4P care showed lower risks of these outcomes.
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Affiliation(s)
- Fu-Shun Yen
- Dr. Yen's Clinic, No. 15, Shanying Road, Gueishan District, Taoyuan 33354, Taiwan.
| | - James Cheng-Chung Wei
- Institute of Medicine, Chung Shan Medical University, No. 110, Sec. 1, Jianguo, N. Rd., South District, Taichung City 40201, Taiwan; Department of Medicine, Chung Shan Medical University Hospital, No. 110, Sec. 1, Jianguo, N. Rd., South District, Taichung City 40201, Taiwan; Graduate Institute of Integrated Medicine, China Medical University, No.91, Hsueh-Shih, Road, Taichung 40402, Taiwan.
| | - Yu-Tung Hung
- Management Office for Health Data, China Medical University Hospital, 3F., No.373-2, Jianxing, Road, Taichung 4045, Taiwan; College of Medicine, China Medical University, No. 110, Sec. 1, Jianguo, N. Rd., South District, Taichung City 40201, Taiwan.
| | - Chih-Cheng Hsu
- Institute of Population Health Sciences, National Health Research Institutes, 35, Keyan Road, Zhunan, Miaoli County 35053, Taiwan; Department of Health Services Administration, China Medical University, No.91, Hsueh-Shih Road, Taichung 40402, Taiwan; Department of Family Medicine, Min-Sheng General Hospital, 168, ChingKuo Road, Taoyuan 33044, Taiwan; National Center for Geriatrics and Welfare Research, National Health Research Institutes, 35 Keyan Road, Zhunan, Miaoli County 35053, Taiwan.
| | - Chii-Min Hwu
- Department of Medicine, National Yang-Ming Chiao Tung University School of Medicine, No.155, Sec.2, Linong Street, Taipei 11221, Taiwan; Section of Endocrinology and Metabolism, Department of Medicine, Taipei Veterans General Hospital, No.201, Sec. 2, Shipai Road, Beitou District, Taipei 11217, Taiwan.
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31
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Kang WH, Mohamad Sithik MN, Khoo JK, Ooi YG, Lim QH, Lim LL. Gaps in the management of diabetes in Asia: A need for improved awareness and strategies in men's sexual health. J Diabetes Investig 2022; 13:1945-1957. [PMID: 36151988 DOI: 10.1111/jdi.13903] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Revised: 07/22/2022] [Accepted: 08/17/2022] [Indexed: 11/28/2022] Open
Abstract
Sexual dysfunction, which is defined as 'difficulty during any stage of the sexual encounter that prevents or impairs the individual or couple from enjoying sexual activity', is globally prevalent in males with prediabetes and diabetes. It is an early harbinger of cardiovascular diseases and has a profound impact on one's physical, mental, and social health. Among patients with either prediabetes or diabetes, the most common male sexual dysfunctions are hypogonadism, erectile dysfunction, and premature ejaculation. In Asia, although sexual health is an important factor of men's health, it is rarely discussed freely in real-life practice. Addressing sexual health in Asian males has always been challenging with multiple barriers at the levels of patients and health care providers. Therefore, the assessment and management of sexual dysfunction in routine clinical practice should involve a holistic approach with effective patient-provider communication. In this review, we discuss the epidemiology, pathophysiology, and the management of hypogonadism, erectile dysfunction, and premature ejaculation among males with either prediabetes or diabetes (type 1 and type 2), as well as the evidence gaps across Asia.
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Affiliation(s)
- Waye-Hann Kang
- Department of Medicine, Faculty of Medicine and Health Sciences, University Tunku Abdul Rahman, Selangor, Malaysia
| | | | - Jun-Kit Khoo
- Department of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Ying-Guat Ooi
- Department of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Quan-Hziung Lim
- Department of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Lee-Ling Lim
- Department of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia.,Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China.,Asia Diabetes Foundation, Hong Kong SAR, China
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32
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Cheung JTK, Lau E, Tsui CCT, Siu ELN, Tse NKW, Hui NYL, Ma RCW, Kong APS, Fu A, Lau V, Jia W, Sheu WHH, Sobrepena L, Yoon KH, Tan ATB, Chia YC, Sosale A, Saboo BD, Kesavadev J, Goh SY, Nguyen TK, Thewjitcharoen Y, Suwita R, Luk AOY, Yang A, Chow E, Lim LL, Chan JCN. Combined associations of family history and self-management with age at diagnosis and cardiometabolic risk in 86,931 patients with type 2 diabetes: Joint Asia Diabetes Evaluation (JADE) Register from 11 countries. BMC Med 2022; 20:249. [PMID: 35831899 PMCID: PMC9281062 DOI: 10.1186/s12916-022-02424-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Accepted: 05/31/2022] [Indexed: 12/02/2022] Open
Abstract
BACKGROUND Family history (FamH) of type 2 diabetes might indicate shared genotypes, environments, and/or behaviors. We hypothesize that FamH interacts with unhealthy behaviors to increase the risk of early onset of diabetes and poor cardiometabolic control. METHODS In a cross-sectional analysis of the prospective Joint Asia Diabetes Evaluation Register including patients from 427 clinics in 11 Asian countries/regions in 2007-2021, we defined positive FamH as affected parents/siblings and self-management as (1) healthy lifestyles (balanced diet, non-use of alcohol and tobacco, regular physical activity) and (2) regular self-monitoring of blood glucose (SMBG). RESULTS Among 86,931 patients with type 2 diabetes (mean±SD age: 56.6±11.6 years; age at diagnosis of diabetes: 49.8±10.5 years), the prevalence of FamH ranged from 39.1% to 85.3% in different areas with FamH affecting mother being most common (32.5%). The FamH group (n=51,705; 59.5%) was diagnosed 4.6 years earlier than the non-FamH group [mean (95% CI): 47.9 (47.8-48.0) vs. 52.5 (52.4-52.6), logrank p<0.001]. In the FamH group, patients with both parents affected had the earliest age at diagnosis [44.6 (44.5-44.8)], followed by affected single parent [47.7 (47.6-47.8)] and affected siblings only [51.5 (51.3-51.7), logrank p<0.001]. The FamH plus ≥2 healthy lifestyle group had similar age at diagnosis [48.2 (48.1-48.3)] as the non-FamH plus <2 healthy lifestyle group [50.1 (49.8-50.5)]. The FamH group with affected parents had higher odds of hyperglycemia, hypertension, and dyslipidemia than the FamH group with affected siblings, with the lowest odds in the non-FamH group. Self-management (healthy lifestyles plus SMBG) was associated with higher odds of attaining HbA1c<7%, blood pressure<130/80mmHg, and LDL-C<2.6 mmol/L especially in the FamH group (FamH×self-management, pinteraction=0.050-0.001). CONCLUSIONS In Asia, FamH was common and associated with young age of diagnosis which might be delayed by healthy lifestyle while self management was associated with better control of cardiometabolic risk factors especially in those with FamH.
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Affiliation(s)
- Johnny T K Cheung
- Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region, China
| | - Eric Lau
- Asia Diabetes Foundation, Shatin, Hong Kong Special Administrative Region, Shatin, China.,Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong Special Administrative Region, China
| | - Cyrus C T Tsui
- Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region, China
| | - Edmond L N Siu
- Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region, China
| | - Naomi K W Tse
- Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region, China
| | - Nicole Y L Hui
- Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region, China
| | - Ronald C W Ma
- Asia Diabetes Foundation, Shatin, Hong Kong Special Administrative Region, Shatin, China.,Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong Special Administrative Region, China.,Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong Special Administrative Region, China
| | - Alice P S Kong
- Asia Diabetes Foundation, Shatin, Hong Kong Special Administrative Region, Shatin, China.,Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong Special Administrative Region, China.,Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong Special Administrative Region, China
| | - Amy Fu
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong Special Administrative Region, China
| | - Vanessa Lau
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong Special Administrative Region, China
| | - Weiping Jia
- Shanghai Sixth People's Hospital, Shanghai, China
| | - Wayne H H Sheu
- Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
| | | | - K H Yoon
- Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, South Korea
| | - Alexander T B Tan
- Department of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Yook-Chin Chia
- Department of Medical Sciences, School of Medical and Life Sciences, Sunway University, Subang Jaya, Selangor, Malaysia.,Department of Primary Care Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | | | - Banshi D Saboo
- Dia Care - Diabetes Care & Hormone Clinic, Ahmedabad, Gujarat, India
| | - Jothydev Kesavadev
- Jothydev's Diabetes & Research Center, Thiruvananthapuram, Kerala, India
| | - Su-Yen Goh
- Department of Endocrinology, Singapore General Hospital, Singapore, Singapore
| | | | | | - Raymond Suwita
- Cerebrocardiovascular Diabetes Group Clinic (CDG), Jakarta, Indonesia
| | - Andrea O Y Luk
- Asia Diabetes Foundation, Shatin, Hong Kong Special Administrative Region, Shatin, China.,Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong Special Administrative Region, China.,Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong Special Administrative Region, China
| | - Aimin Yang
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong Special Administrative Region, China.,Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong Special Administrative Region, China
| | - Elaine Chow
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong Special Administrative Region, China.,Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong Special Administrative Region, China
| | - Lee Ling Lim
- Asia Diabetes Foundation, Shatin, Hong Kong Special Administrative Region, Shatin, China.,Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong Special Administrative Region, China.,Department of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Juliana C N Chan
- Asia Diabetes Foundation, Shatin, Hong Kong Special Administrative Region, Shatin, China. .,Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong Special Administrative Region, China. .,Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong Special Administrative Region, China. .,Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong Special Administrative Region, China.
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Non-Pharmacological Integrated Interventions for Adults Targeting Type 2 Diabetes and Mental Health Comorbidity: A Mixed-Methods Systematic Review. Int J Integr Care 2022; 22:27. [PMID: 35855093 PMCID: PMC9248983 DOI: 10.5334/ijic.5960] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Accepted: 06/08/2022] [Indexed: 11/20/2022] Open
Abstract
Objective: Adults living with Type 2 diabetes (T2D) and severe mental illness (SMI) disproportionally experience premature mortality and health inequality. Despite this, there is a limited evidence-base and evaluation of non-pharmacological integrated interventions that may contribute to improved patient experience and outcomes. To improve our understanding of how to optimise integrated care for this group, this review evaluates the effectiveness, acceptability, and feasibility of non-pharmacological integrated interventions for adults with SMI and T2D. Methods: Studies from nine electronic databases were searched. Of the 6750 papers retrieved, seven papers (five quantitative and two qualitative) met the inclusion/exclusion criteria. A convergent integrated approach was used to narratively synthesise data into four main themes: effectiveness, acceptability, feasibility, integrated care. Results: There is moderate evidence to suggest non-pharmacological integrated interventions may be effective in improving some diabetes-related and psychosocial outcomes. Person-centred integrated interventions that are delivered collaboratively by trained facilitators who exemplify principles of integrated care may be effective in reducing the health-treatment gap. Conclusions: Recommendations from this review can provide guidance to healthcare professionals, commissioners, and researchers to inform improvements to non-pharmacological integrated interventions that are evidence-based, theoretically driven, and informed by patient and healthcare professionals’ experiences of care.
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Hoo JX, Yang YF, Tan JY, Yang J, Yang A, Lim LL. Impact of multicomponent integrated care on mortality and hospitalization after acute coronary syndrome: a systematic review and meta-analysis. EUROPEAN HEART JOURNAL. QUALITY OF CARE & CLINICAL OUTCOMES 2022; 9:258-267. [PMID: 35687013 PMCID: PMC10131244 DOI: 10.1093/ehjqcco/qcac032] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Revised: 05/30/2022] [Accepted: 06/07/2022] [Indexed: 04/28/2023]
Abstract
AIMS Multicomponent integrated care is associated with sustained control of multiple cardiometabolic risk factors among patients with type 2 diabetes. There is a lack of data in patients with acute coronary syndrome (ACS). We aimed to examine its efficacy on mortality and hospitalization outcomes among patients with ACS in outpatient settings. METHODS AND RESULTS A literature search was conducted on PubMed, EMBASE, Ovid and Cochrane library databases for randomized controlled trials, published in English language between January 1980 and November 2020. Multicomponent integrated care defined as two or more quality improvement strategies targeting different domains (the healthcare system, healthcare providers and patients) for one month or more. The study outcomes were all-cause and cardiovascular-related mortality, hospitalization and emergency department visits. We pooled the risk ratio (RR) with 95% confidence interval (CI) for the association between multicomponent integrated care and study outcomes using the Mantel-Haenszel test. 74 trials (n = 93,278 patients with ACS) were eligible. The most common quality improvement strategies were team change (83.8%), patient education (62.2%) and facilitated patient-provider relay (54.1%). Compared with usual care, multicomponent integrated care was associated with reduced risks for all-cause mortality (RR 0.83, 95% CI 0.77-0.90; p<0.001; I2 = 0%), cardiovascular mortality (RR 0.81, 95% CI 0.73-0.89; p<0.001; I2 = 24%) and all-cause hospitalization (RR 0.88, 95% CI, 0.78-0.99; p = 0.040; I2 = 58%). The associations of multicomponent integrated care with cardiovascular-related hospitalization, emergency department visits and unplanned outpatient visits were not statistically significant. CONCLUSIONS In outpatient settings, multicomponent integrated care can reduce risks for mortality and hospitalization in patients with ACS.
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Affiliation(s)
- Jia-Xin Hoo
- Department of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Ya-Feng Yang
- Department of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Jia-Yin Tan
- Department of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Jingli Yang
- College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, China
- School of Public Health and Social Work, Queensland University of Technology, Brisbane, Australia
| | - Aimin Yang
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Lee-Ling Lim
- Department of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
- Asia Diabetes Foundation, Hong Kong SAR, China
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Huber C, Montreuil C, Christie D, Forbes A. Integrating Self-Management Education and Support in Routine Care of People With Type 2 Diabetes Mellitus: A Conceptional Model Based on Critical Interpretive Synthesis and A Consensus-Building Participatory Consultation. FRONTIERS IN CLINICAL DIABETES AND HEALTHCARE 2022; 3:845547. [PMID: 36992783 PMCID: PMC10012123 DOI: 10.3389/fcdhc.2022.845547] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/29/2021] [Accepted: 03/23/2022] [Indexed: 11/13/2022]
Abstract
The integration of self-management education and support into the routine diabetes care is essential in preventing complications. Currently, however, there is no consensus on how to conceptualise integration in relation to self-management education and support. Therefore, this synthesis presents a framework conceptualising integration and self-management.MethodsSeven electronic databases (Medline, HMIC, PsycINFO, CINAHL, ERIC, Scopus and Web of Science) were searched. Twenty-one articles met the inclusion criteria. Data were synthesised using principles of critical interpretive synthesis to build the conceptual framework. The framework was presented to 49 diabetes specialist nurses working at different levels of care during a multilingual workshop.ResultsA conceptual framework is proposed in which integration is influenced by five interacting components: the programme ethos of the diabetes self-management education and support intervention (content and delivery), care system organisation (the framework in which such interventions are delivered), adapting to context (the aspects of the people receiving and delivering the interventions), interpersonal relationship (the interactions between the deliverer and receiver of the intervention), and shared learning (what deliverer and receiver gain from the interactions). The critical inputs from the workshop participants related to the different priorities given to the components according to their sociolinguistic and educational experiences, Overall, they agreed with the conceptualisation of the components and their content specific to diabetes self-management education and support.DiscussionIntegration was conceptualised in terms of the relational, ethical, learning, contextual adapting, and systemic organisational aspects of the intervention. It remains uncertain which prioritised interactions of components and to what extent these may moderate the integration of self-management education and support into routine care; in turn, the level of integration observed in each of the components may moderate the impact of these interventions, which may also apply to the impact of the professional training.ConclusionThis synthesis provides a theoretical framework that conceptualises integration in the context of diabetes self-management education and support in routine care. More research is required to evaluate how the components identified in the framework can be addressed in clinical practice to assess whether improvements in self-management education and support can be effectively realised in this population.
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Affiliation(s)
- Claudia Huber
- HES-SO University of Applied Sciences and Arts Western Switzerland, School of Health Science Fribourg, Fribourg, Switzerland
- Florence Nightingale Faculty of Nursing, Midwifery & Palliative Care, King’s College London, James Clerk Maxwell Building, London, United Kingdom
- *Correspondence: Claudia Huber,
| | - Chantal Montreuil
- Institute of Higher Education and Research in Healthcare, University of Lausanne, Lausanne, Switzerland
| | - Derek Christie
- HES-SO University of Applied Sciences and Arts Western Switzerland, School of Health Science Fribourg, Fribourg, Switzerland
| | - Angus Forbes
- Florence Nightingale Faculty of Nursing, Midwifery & Palliative Care, King’s College London, James Clerk Maxwell Building, London, United Kingdom
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Anjana RM, Unnikrishnan R, Deepa M, Venkatesan U, Pradeepa R, Joshi S, Saboo B, Das AK, Bajaj S, Bhansali A, Madhu SV, Dhandhania VK, Jabbar PK, Jain SM, Gupta A, Chowdhury S, Ali MK, Nirmal E, Subashini R, Kaur T, Dhaliwal RS, Tandon N, Mohan V. Achievement of guideline recommended diabetes treatment targets and health habits in people with self-reported diabetes in India (ICMR-INDIAB-13): a national cross-sectional study. Lancet Diabetes Endocrinol 2022; 10:430-441. [PMID: 35461575 DOI: 10.1016/s2213-8587(22)00072-9] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Revised: 02/10/2022] [Accepted: 02/16/2022] [Indexed: 01/03/2023]
Abstract
BACKGROUND There is little information on comprehensive diabetes care comprising glycaemic, lipid, and blood pressure control in India; therefore, we aimed to assess the achievement of treatment targets among adults with self-reported diabetes. METHODS The Indian Council of Medical Research (ICMR)-India Diabetes (INDIAB) study is a cross-sectional, population-based survey of adults aged 20 years or older in all 30 states and union territories of India. We used a stratified multistage sampling design, sampling states in a phased manner, and selected villages in rural areas and census enumeration blocks in urban areas. We used a three-level stratification method on the basis of geography, population size, and socioeconomic status for each state. For the outcome assessment, good glycaemic control was defined as HbA1c of less than 7·0% (A), blood pressure control was defined as less than 140/90 mm Hg (B), and the LDL cholesterol target was defined as less than 100 mg/dL (C). ABC control was defined as the proportion of individuals meeting glycaemic, blood pressure, and LDL cholesterol targets together. We also performed multiple logistic regression to assess the factors influencing achievement of diabetes treatment targets. FINDINGS Between Oct 18, 2008, and Dec 17, 2020, 113 043 individuals (33 537 from urban areas and 79 506 from rural areas) participated in the ICMR-INDIAB study. For this analysis, 5789 adults (2633 in urban areas and 3156 in rural areas) with self-reported diabetes were included in the study population. The median age was 56·1 years (IQR 55·7-56·5). Overall, 1748 (weighted proportion 36·3%, 95% CI 34·7-37·9) of 4834 people with diabetes achieved good glycaemic control, 2819 (weighted proportion 48·8%, 47·2-50·3) of 5698 achieved blood pressure control, and 2043 (weighted proportion 41·5%, 39·9-43·1) of 4886 achieved good LDL cholesterol control. Only 419 (weighted proportion 7·7%) of 5297 individuals with self-reported diabetes achieved all three ABC targets, with significant heterogeneity between regions and states. Higher education, male sex, rural residence, and shorter duration of diabetes (<10 years) were associated with better achievement of combined ABC targets. Only 951 (weighted proportion 16·7%) of the study population and 227 (weighted proportion 36·9%) of those on insulin reported using self-monitoring of blood glucose. INTERPRETATION Achievement of treatment targets and adoption of healthy behaviours remains suboptimal in India. Our results can help governments to adopt policies that prioritise improvement of diabetes care delivery and surveillance in India. FUNDING Indian Council of Medical Research and Department of Health Research, Ministry of Health and Family Welfare.
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Affiliation(s)
- Ranjit Mohan Anjana
- Department of Diabetology, Madras Diabetes Research Foundation, Indian Council of Medical Research Centre for Advanced Research on Diabetes and Dr Mohan's Diabetes Specialities Centre, Chennai, India
| | - Ranjit Unnikrishnan
- Department of Diabetology, Madras Diabetes Research Foundation, Indian Council of Medical Research Centre for Advanced Research on Diabetes and Dr Mohan's Diabetes Specialities Centre, Chennai, India
| | - Mohan Deepa
- Department of Epidemiology, Madras Diabetes Research Foundation, Indian Council of Medical Research Centre for Advanced Research on Diabetes and Dr Mohan's Diabetes Specialities Centre, Chennai, India
| | - Ulagamathesan Venkatesan
- Department of Biostatistics, Madras Diabetes Research Foundation, Indian Council of Medical Research Centre for Advanced Research on Diabetes and Dr Mohan's Diabetes Specialities Centre, Chennai, India
| | - Rajendra Pradeepa
- Department of Research Operations, Madras Diabetes Research Foundation, Indian Council of Medical Research Centre for Advanced Research on Diabetes and Dr Mohan's Diabetes Specialities Centre, Chennai, India
| | - Shashank Joshi
- Department of Diabetology and Endocrinology, Lilavati Hospital and Research Centre, Mumbai, India
| | - Banshi Saboo
- Dia Care, Diabetes Care and Hormone Clinic, Ahmedabad, India
| | - Ashok Kumar Das
- Department of General Medicine and Endocrinology, Pondicherry Institute of Medical Sciences, Puducherry, India
| | - Sarita Bajaj
- Department of Medicine, Moti Lal Nehru Medical College, Prayagraj, India
| | - Anil Bhansali
- Department of Endocrinology, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Sri Venkata Madhu
- Department of Endocrinology, University College of Medical Sciences and Guru Teg Bahadur Hospital, New Delhi, India
| | | | | | - Sunil M Jain
- TOTALL, Diabetes Thyroid Hormone Research Institute, Indore, India
| | | | - Subhankar Chowdhury
- Department of Endocrinology and Metabolism, Institute of Post-Graduate Medical Education and Research and Seth Sukhlal Karnani Memorial Hospital, Kolkata, India
| | - Mohammed K Ali
- Department of Epidemiology, Madras Diabetes Research Foundation, Indian Council of Medical Research Centre for Advanced Research on Diabetes and Dr Mohan's Diabetes Specialities Centre, Chennai, India; Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Elangovan Nirmal
- Department of Research Operations, Madras Diabetes Research Foundation, Indian Council of Medical Research Centre for Advanced Research on Diabetes and Dr Mohan's Diabetes Specialities Centre, Chennai, India
| | - Radhakrishnan Subashini
- Department of Biostatistics, Madras Diabetes Research Foundation, Indian Council of Medical Research Centre for Advanced Research on Diabetes and Dr Mohan's Diabetes Specialities Centre, Chennai, India
| | - Tanvir Kaur
- Division of Non-Communicable Diseases, Indian Council of Medical Research, New Delhi, India
| | | | - Nikhil Tandon
- Department of Endocrinology and Metabolism, All India Institute of Medical Sciences, New Delhi, India
| | - Viswanathan Mohan
- Department of Diabetology, Madras Diabetes Research Foundation, Indian Council of Medical Research Centre for Advanced Research on Diabetes and Dr Mohan's Diabetes Specialities Centre, Chennai, India.
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Effectiveness of Integrated Diabetes Care Interventions Involving Diabetes Specialists Working in Primary and Community Care Settings: A Systematic Review and Meta-Analysis. Int J Integr Care 2022; 22:11. [PMID: 35634254 PMCID: PMC9104489 DOI: 10.5334/ijic.6025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Accepted: 04/19/2022] [Indexed: 11/20/2022] Open
Abstract
Introduction: Evidence that integrated diabetes care interventions can substantially improve clinical outcomes is mixed. However, previous systematic reviews have not focussed on clinical effectiveness where the endocrinologist was actively involved in guiding diabetes management. Methods: We searched EMBASE, COCHRANE, MEDLINE, SCOPUS, CINAHL, Google Scholar databases and grey literature published in English language up to 25 January 2021. Reviewed articles included Randomised Controlled Trials (RCTs) and pre-post studies testing the effectiveness on clinical outcomes after ≥6 months intervention in non-pregnant adults (age ≥ 18 years) with type 1 or type 2 diabetes mellitus. Two reviewers independently extracted data and completed a risk of bias assessment. Appropriate meta-analyses for each outcome from RCTs and pre-post studies were performed. Heterogeneity was assessed using the I2 statistic and Cochran’s Q and publication bias assessed using Doi plots. Studies were not pooled to estimate the cost-effectiveness as the cost outcomes were not comparable across trials/studies. Results: We reviewed 4 RCTs and 12 pre-post studies. The integrated care model of diabetes specialists working with primary care health professionals had a positive impact on HbA1c in both RCTs and pre-post studies and on systolic blood pressure, diastolic blood pressure, total cholesterol and weight in pre-post studies. In the RCTs, interventions reduced HbA1c (–0.10% [–0.15 to –0.05]) (–1.1 mmol/mol [–1.6 to –0.5]), versus control. Pre-post studies demonstrated improvements in HbA1c (–0.77% [–1.12 to –0.42]) (–8.4 mmol/mol [–12.2 to –4.6]), systolic blood pressure (–3.30 mmHg [–5.16 to –1.44]), diastolic blood pressure (–3.61 mmHg [–4.82 to –2.39]), total cholesterol (–0.33 mmol/L [–0.52 to –0.14]) and weight (–2.53 kg [–3.86 to –1.19]). In a pre-post study with no control group only 4% patients experienced hypoglycaemia after one year of intervention compared to baseline. Conclusions: Integrated interventions with an active endocrinologist involvement can result in modest improvements in HbA1c, blood pressure and weight management. Although the improvements per clinical outcome are modest, there is possible net improvements at a holistic level.
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Chan JCN, Thewjitcharoen Y, Nguyen TK, Tan A, Chia YC, Hwu CM, Jian D, Himathongkam T, Wong KL, Choi YM, Mirasol R, Mohamed M, Kong APS, Ma RCW, Chow EYK, Ozaki R, Lau V, Fu AWC, Hong EG, Yoon KH, Tsang CC, Lau ESH, Lim LL, Luk AOY. Effect of a Web-Based Management Guide on Risk Factors in Patients With Type 2 Diabetes and Diabetic Kidney Disease: A JADE Randomized Clinical Trial. JAMA Netw Open 2022; 5:e223862. [PMID: 35333363 PMCID: PMC8956973 DOI: 10.1001/jamanetworkopen.2022.3862] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
IMPORTANCE Diabetic kidney disease (DKD) and its comorbidities can be prevented by treating multiple targets. Technology-assisted team-based care with regular feedback and patient empowerment can improve the attainment of multiple targets and clinical outcomes in patients with type 2 diabetes, but the effects of this intervention on patients with DKD are unclear. OBJECTIVE To evaluate the effect of the Joint Asia Diabetes Evaluation (JADE) web portal, nurse reminders, and team-based care on multiple risk factors in patients with DKD. DESIGN, SETTING, AND PARTICIPANTS This 12-month multinational, open-label randomized clinical trial was conducted between June 27, 2014, and February 19, 2019, at 13 hospital-based diabetes centers in 8 countries or regions in Asia. All patients who participated had DKD. The intention-to-treat data analysis was performed from April 7 to June 30, 2020. INTERVENTIONS Patients were randomized in a 1:1:1 ratio at each site to usual care, empowered care, or team-based empowered care. All patients underwent a JADE web portal-guided structured assessment at baseline and month 12. Patients in the usual care and empowered care groups received a medical follow-up. Patients in the empowered care group also received a personalized JADE report and nurse telephone calls every 3 months. Patients in the team-based empowered care group received additional face-to-face reviews every 3 months from a physician-nurse team. MAIN OUTCOMES AND MEASURES The primary outcome was the proportion of patients who attained multiple treatment targets (defined as ≥3 of 5 targets: HbA1c level <7.0% [53 mmol/mol], blood pressure <130/80 mm Hg, low-density lipoprotein cholesterol level <1.8 mmol/L, triglyceride level <1.7 mmol/L, and/or persistent use of renin-angiotensin-aldosterone system inhibitors). RESULTS A total of 2393 patients (mean [SD] age, 67.7 [9.8] years; 1267 men [52.9%]) were randomized to the usual care group (n = 795), empowered care group (n = 802), and team-based empowered care group (n = 796). At baseline, 34.7% patients (n = 830) were on 3 treatment targets. On intention-to-treat analysis, the team-based empowered care group had the highest proportion of patients who had further increase in attainment of multiple treatment targets (within-group differences: usual care group, 3.9% [95% CI, 0.0%-7.8%]; empowered care group, 1.3% [95% CI, -2.8% to 5.4%]; team-based empowered care group, 9.1% [95% CI, 4.7%-13.5%]). The team-based empowered care group was more likely to attain multiple treatment targets than the usual care group (risk ratio [RR], 1.17; 95% CI, 1.00-1.37) and the empowered care group (RR, 1.25; 95% CI, 1.06-1.48) after adjustment for site. Compared with the group that did not attain multiple treatment targets, the group that attained multiple treatment targets reported a lower incidence of cardiovascular, kidney, and cancer events (8.4% [n = 51] vs 14.5% [n = 134]; P = .004). Analysis of the per-protocol population yielded similar results. CONCLUSIONS AND RELEVANCE This trial found that technology-assisted team-based care for 12 months improved the attainment of multiple treatment targets as well as empowerment in patients with DKD. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT02176278.
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Affiliation(s)
- Juliana C. N. Chan
- Asia Diabetes Foundation, Shatin, Hong Kong Special Administrative Region (SAR), China
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR, China
| | | | | | | | - Yook-Chin Chia
- Department of Medical Sciences, Sunway University, Selangor, Malaysia
- Department of Primary Care Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Chii-Min Hwu
- Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Du Jian
- Department of Endocrinology, The Fourth Affiliated Hospital of China Medical University, Shenyang, China
| | | | - Kim-Leng Wong
- Department of Primary Care Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Yun-Mi Choi
- Department of Internal Medicine, Dongtan Sacred Heart Hospital, Hallym University College of Medicine, Hwaseong, Korea
| | - Roberto Mirasol
- Section of Endocrinology, Diabetes and Metabolism, St Luke's Medical Center, Quezon City, Philippines
| | - Mafauzy Mohamed
- Department of Medicine, Universiti Sains Malaysia, Kota Bahru, Malaysia
| | - Alice P. S. Kong
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR, China
| | - Ronald C. W. Ma
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR, China
| | - Elaine Y. K. Chow
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR, China
| | - Risa Ozaki
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR, China
| | - Vanessa Lau
- Asia Diabetes Foundation, Shatin, Hong Kong Special Administrative Region (SAR), China
| | - Amy W. C. Fu
- Asia Diabetes Foundation, Shatin, Hong Kong Special Administrative Region (SAR), China
| | - Eun-Gyoung Hong
- Department of Internal Medicine, Dongtan Sacred Heart Hospital, Hallym University College of Medicine, Hwaseong, Korea
| | - Kun-Ho Yoon
- Department of Endocrinology and Metabolism, Seoul St Mary's Hospital, The Catholic University of Korea, Seoul, Korea
| | - Chiu-Chi Tsang
- Department of Medicine, Alice Ho Miu Ling Nethersole Hospital, Tai Po, Hong Kong SAR, China
| | - Eric S. H. Lau
- Asia Diabetes Foundation, Shatin, Hong Kong Special Administrative Region (SAR), China
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR, China
| | - Lee-Ling Lim
- Asia Diabetes Foundation, Shatin, Hong Kong Special Administrative Region (SAR), China
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR, China
- Department of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Andrea O. Y. Luk
- Asia Diabetes Foundation, Shatin, Hong Kong Special Administrative Region (SAR), China
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR, China
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Hodgson S, Morgan-Harrisskitt J, Hounkpatin H, Stuart B, Dambha-Miller H. Primary care service utilisation and outcomes in type 2 diabetes: a longitudinal cohort analysis. BMJ Open 2022; 12:e054654. [PMID: 35105641 PMCID: PMC8808402 DOI: 10.1136/bmjopen-2021-054654] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
OBJECTIVES To describe primary care utilisation patterns among adults with type 2 diabetes and to quantify the association between utilisation and long-term health outcomes. DESIGN Retrospective cohort study. SETTING 168 primary care practices in Southern England within the Electronic Care and Health Information Analytics database between 2013 and 2020. PARTICIPANTS 110 240 adults with Quality and Outcomes Framework read code of type 2 diabetes diagnosis; age greater than 18 years; linked and continuous records available from April 2013 until April 2020 (or death). PRIMARY AND SECONDARY OUTCOME MEASURES: (1) Rates of service utilisation (total number of primary care contacts per quarter) across the study period; (2) participant characteristics associated with higher and lower rates of service utilisation; and (3) associations between service utilisation and (A) cardiovascular disease (CVD events) and (B) all-cause mortality. RESULTS Mean (SD) number of primary care attendances per quarter in the cohort of 110 240 went from 2.49 (2.01) in 2013 to 2.78 (2.06) in 2020. Patients in the highest usage tertile were more likely to be female, older, more frail, white, from the least deprived quintile and to have five or more comorbidities. In adjusted models, higher rates of service utilisation (per consultation) were associated with higher rates of CVD events (OR 1.0058; 95% CI 1.0053 to 1.0062; p<0.001) and mortality (OR 1.0057; 95% CI 1.0051 to 1.0064; p<0.001). CONCLUSIONS People with type 2 diabetes are using primary care services more frequently, but increased volume of clinical care does not correlate with better outcomes, although this finding may be driven by more unwell patients contacting services more frequently. Further research on the nature and content of contacts is required to understand how to tailor services to deliver effective care to those at greatest risk of complications.
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Affiliation(s)
- Sam Hodgson
- Primary Care Research Centre, University of Southampton, Southampton, UK
| | | | - Hilda Hounkpatin
- Primary Care Research Centre, University of Southampton, Southampton, UK
| | - Beth Stuart
- Primary Care Research Centre, University of Southampton, Southampton, UK
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Chan JCN, Lim LL, Wareham NJ, Shaw JE, Orchard TJ, Zhang P, Lau ESH, Eliasson B, Kong APS, Ezzati M, Aguilar-Salinas CA, McGill M, Levitt NS, Ning G, So WY, Adams J, Bracco P, Forouhi NG, Gregory GA, Guo J, Hua X, Klatman EL, Magliano DJ, Ng BP, Ogilvie D, Panter J, Pavkov M, Shao H, Unwin N, White M, Wou C, Ma RCW, Schmidt MI, Ramachandran A, Seino Y, Bennett PH, Oldenburg B, Gagliardino JJ, Luk AOY, Clarke PM, Ogle GD, Davies MJ, Holman RR, Gregg EW. The Lancet Commission on diabetes: using data to transform diabetes care and patient lives. Lancet 2021; 396:2019-2082. [PMID: 33189186 DOI: 10.1016/s0140-6736(20)32374-6] [Citation(s) in RCA: 285] [Impact Index Per Article: 95.0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/20/2019] [Revised: 07/06/2020] [Accepted: 11/05/2020] [Indexed: 01/19/2023]
Affiliation(s)
- Juliana C N Chan
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China; Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China; Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China; Asia Diabetes Foundation, Hong Kong Special Administrative Region, China.
| | - Lee-Ling Lim
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China; Asia Diabetes Foundation, Hong Kong Special Administrative Region, China; Department of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Nicholas J Wareham
- Medical Research Council Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Jonathan E Shaw
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia; School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia; School of Life Sciences, La Trobe University, Melbourne, VIC, Australia
| | - Trevor J Orchard
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, KS, USA
| | - Ping Zhang
- Division of Diabetes Translation, US Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Eric S H Lau
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China; Asia Diabetes Foundation, Hong Kong Special Administrative Region, China
| | - Björn Eliasson
- Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden; Department of Endocrinology and Metabolism, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Alice P S Kong
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China; Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China; Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Majid Ezzati
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK; Medical Research Council Centre for Environment and Health, Imperial College London, London, UK; WHO Collaborating Centre on NCD Surveillance and Epidemiology, Imperial College London, London, UK
| | - Carlos A Aguilar-Salinas
- Departamento de Endocrinología y Metabolismo, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Margaret McGill
- Diabetes Centre, Royal Prince Alfred Hospital, University of Sydney, Sydney, NSW, Australia
| | - Naomi S Levitt
- Chronic Disease Initiative for Africa, Department of Medicine, Faculty of Medicine and Health Sciences, University of Cape Town, Cape Town, South Africa
| | - Guang Ning
- Shanghai Clinical Center for Endocrine and Metabolic Disease, Department of Endocrinology, Ruijin Hospital, Shanghai Jiaotong University, School of Medicine, Shanghai, China; Shanghai Institute of Endocrine and Metabolic Diseases, Shanghai, China
| | - Wing-Yee So
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China; Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China; Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Jean Adams
- Medical Research Council Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Paula Bracco
- School of Medicine and Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Nita G Forouhi
- Medical Research Council Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Gabriel A Gregory
- Life for a Child Program, Diabetes NSW and ACT, Glebe, NSW, Australia; Sydney Medical School, University of Sydney, Sydney, NSW, Australia
| | - Jingchuan Guo
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, KS, USA
| | - Xinyang Hua
- Health Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Emma L Klatman
- Life for a Child Program, Diabetes NSW and ACT, Glebe, NSW, Australia
| | - Dianna J Magliano
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia; School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Boon-Peng Ng
- Division of Diabetes Translation, US Centers for Disease Control and Prevention, Atlanta, GA, USA; College of Nursing and Disability, Aging and Technology Cluster, University of Central Florida, Orlando, FL, USA
| | - David Ogilvie
- Medical Research Council Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Jenna Panter
- Medical Research Council Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Meda Pavkov
- Division of Diabetes Translation, US Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Hui Shao
- Division of Diabetes Translation, US Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Nigel Unwin
- Medical Research Council Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Martin White
- Medical Research Council Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Constance Wou
- Medical Research Council Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Ronald C W Ma
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China; Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China; Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Maria I Schmidt
- School of Medicine and Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Ambady Ramachandran
- India Diabetes Research Foundation and Dr A Ramachandran's Diabetes Hospitals, Chennai, India
| | - Yutaka Seino
- Center for Diabetes, Endocrinology and Metabolism, Kansai Electric Power Hospital, Osaka, Japan; Yutaka Seino Distinguished Center for Diabetes Research, Kansai Electric Power Medical Research Institute, Kobe, Japan
| | - Peter H Bennett
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, AZ, USA
| | - Brian Oldenburg
- Nossal Institute for Global Health, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia; WHO Collaborating Centre on Implementation Research for Prevention and Control of NCDs, University of Melbourne, Melbourne, VIC, Australia
| | - Juan José Gagliardino
- Centro de Endocrinología Experimental y Aplicada, UNLP-CONICET-CICPBA, Facultad de Ciencias Médicas, Universidad Nacional de La Plata, La Plata, Argentina
| | - Andrea O Y Luk
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China; Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China; Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China; Asia Diabetes Foundation, Hong Kong Special Administrative Region, China
| | - Philip M Clarke
- Health Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Graham D Ogle
- Life for a Child Program, Diabetes NSW and ACT, Glebe, NSW, Australia; National Health and Medical Research Council Clinical Trials Centre, University of Sydney, Sydney, NSW, Australia
| | - Melanie J Davies
- Diabetes Research Centre, University of Leicester, Leicester, UK
| | - Rury R Holman
- Diabetes Trials Unit, Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK
| | - Edward W Gregg
- Division of Diabetes Translation, US Centers for Disease Control and Prevention, Atlanta, GA, USA; Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
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Heisler M, Simmons D, Piatt GA. Update on Approaches to Improve Delivery and Quality of Care for People with Diabetes. Endocrinol Metab Clin North Am 2021; 50:e1-e20. [PMID: 34763822 DOI: 10.1016/j.ecl.2021.07.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
To translate improvements in diabetes management into improved outcomes, it is essential to improve care delivery. To help guide clinicians and health organizations in their efforts to achieve these improvements, this article briefly describes key components underpinning effective diabetes care and six categories of innovations in approaches to improve diabetes care delivery: (1) team-based clinical care; (2) cross-specialty collaboration/integration; (3) virtual clinical care/telehealth; (4) use of community health workers (CHWs) and trained peers to provide pro-active self-management support; (5) incorporating screening for and addressing social determinants of health into clinical practice; and (6) cross-sectoral clinic/community partnerships.
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Affiliation(s)
- Michele Heisler
- Department of Internal Medicine, University of Michigan Medical School; Veterans Affairs Center for Clinical Management Research, VA Ann Arbor Healthcare System; Department of Health Behavior and Health Education, School of Public Health, University of Michigan.
| | - David Simmons
- School of Medicine, Western Sydney University, Sydney, Australia; Macarthur Clinical School, Campbelltown Hospital, Therry Road, Campbelltown, New South Wales 2560, Australia
| | - Gretchen A Piatt
- Department of Health Behavior and Health Education, School of Public Health, University of Michigan; Department of Learning Health Sciences, University of Michigan Medical School, 1111 E. Catherine Street, Victor Vaughan Building, Room 225, Ann Arbor, MI 48109, USA
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Jia W, Zhang P, Zhu D, Duolikun N, Li H, Bao Y, Li X. Evaluation of an mHealth-enabled hierarchical diabetes management intervention in primary care in China (ROADMAP): A cluster randomized trial. PLoS Med 2021; 18:e1003754. [PMID: 34547030 PMCID: PMC8454951 DOI: 10.1371/journal.pmed.1003754] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2021] [Accepted: 08/04/2021] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND Glycemic control remains suboptimal in developing countries due to critical system deficiencies. An innovative mobile health (mHealth)-enabled hierarchical diabetes management intervention was introduced and evaluated in China with the purpose of achieving better control of type 2 diabetes in primary care. METHODS AND FINDINGS A community-based cluster randomized controlled trial was conducted among registered patients with type 2 diabetes in primary care from June 2017 to July 2019. A total of 19,601 participants were recruited from 864 communities (clusters) across 25 provinces in China, and 19,546 completed baseline assessment. Moreover, 576 communities (13,037 participants) were centrally randomized to the intervention and 288 communities (6,509 participants) to usual care. The intervention was centered on a tiered care team-delivered mHealth-mediated service package, initiated by monthly blood glucose monitoring at each structured clinic visit. Capacity building and quarterly performance review strategies upheld the quality of delivered primary care. The primary outcome was control of glycated hemoglobin (HbA1c; <7.0%), assessed at baseline and 12 months. The secondary outcomes include the individual/combined control rates of blood glucose, blood pressure (BP), and low-density lipoprotein cholesterol (LDL-C); changes in levels of HbA1c, BP, LDL-C, fasting blood glucose (FBG), and body weight; and episodes of hypoglycemia. Data were analyzed using intention-to-treat (ITT) generalized estimating equation (GEE) models, accounting for clustering and baseline values of the analyzed outcomes. After 1-year follow-up, 17,554 participants (89.8%) completed the end-of-study (EOS) assessment, with 45.1% of them from economically developed areas, 49.9% from urban areas, 60.5 (standard deviation [SD] 8.4) years of age, 41.2% male, 6.0 years of median diabetes duration, HbA1c level of 7.87% (SD 1.92%), and 37.3% with HbA1c <7.0% at baseline. Compared with usual care, the intervention led to an absolute improvement in the HbA1c control rate of 7.0% (95% confidence interval [CI] 4.0% to 10.0%) and a relative improvement of 18.6% (relative risk [RR] 1.186, 95% CI 1.105 to 1.267) and an absolute improvement in the composite ABC control (HbA1c <7.0%, BP <140/80 mm Hg, and LDL-C <2.6 mmol/L) rate of 1.9% (95% CI 0.5 to 3.5) and a relative improvement of 21.8% (RR 1.218, 95% CI 1.062 to 1.395). No difference was found on hypoglycemia episode and weight gain between groups. Study limitations include noncentralized laboratory tests except for HbA1c, and caution should be exercised when extrapolating the findings to patients not registered in primary care system. CONCLUSIONS The mHealth-enabled hierarchical diabetes management intervention effectively improved diabetes control in primary care and has the potential to be transferred to other chronic conditions management in similar contexts. TRIAL REGISTRATION Chinese Clinical Trial Registry (ChiCTR) IOC-17011325.
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Affiliation(s)
- Weiping Jia
- Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Department of Endocrinology, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai, China
- Chinese Diabetes Society, Beijing, China
- * E-mail:
| | - Puhong Zhang
- The George Institute for Global Health at Peking University Health Science Center, Beijing, China
- Faculty of Medicine, University of New South Wales, Sydney, Australia
| | - Dalong Zhu
- Chinese Diabetes Society, Beijing, China
- Department of Endocrinology, Drum Tower Hospital affiliated to Nanjing University Medical School, Nanjing, China
| | - Nadila Duolikun
- The George Institute for Global Health at Peking University Health Science Center, Beijing, China
| | - Hong Li
- Department of Endocrinology, Sir Run Run Shaw Hospital affiliated to School of Medicine, Zhejiang University, Hangzhou, China
| | - Yuqian Bao
- Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Department of Endocrinology, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai, China
| | - Xian Li
- The George Institute for Global Health at Peking University Health Science Center, Beijing, China
- Faculty of Medicine, University of New South Wales, Sydney, Australia
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Yao M, Zhou XY, Xu ZJ, Lehman R, Haroon S, Jackson D, Cheng KK. The impact of training healthcare professionals' communication skills on the clinical care of diabetes and hypertension: a systematic review and meta-analysis. BMC FAMILY PRACTICE 2021; 22:152. [PMID: 34261454 PMCID: PMC8281627 DOI: 10.1186/s12875-021-01504-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Accepted: 06/28/2021] [Indexed: 01/13/2023]
Abstract
BACKGROUND Diabetes and hypertension care require effective communication between healthcare professionals and patients. Training programs may improve the communication skills of healthcare professionals but no systematic review has examined their effectiveness at improving clinical outcomes and patient experience in the context of diabetes and hypertension care. METHODS We conducted a systematic review of randomized controlled trials to summarize the effectiveness of any type of communication skills training for healthcare professionals to improve diabetes and/or hypertension care compared to no training or usual care. We searched Medline, Embase, CINAHL, PsycINFO, Cochrane Central Register of Controlled Trials (CENTRAL), Cochrane Database of Systematic Reviews (CDSR), ClinicalTrials.gov and the World Health Organization International Clinical Trials Registry Platform from inception to August 2020 without language restrictions. Data on the country, type of healthcare setting, type of healthcare professionals, population, intervention, comparison, primary outcomes of glycated hemoglobin (HbA1c) and blood pressure, and secondary outcomes of quality of life, patient experience and understanding, medication adherence and patient-doctor relationship were extracted for each included study. Risk of bias of included studies was assessed by Cochrane risk of bias tool. RESULTS 7011 abstracts were identified, and 19 studies met the inclusion criteria. These included a total of 21,762 patients and 785 health professionals. 13 trials investigated the effect of communication skills training in diabetes management and 6 trials in hypertension. 10 trials were at a low risk and 9 trials were at a high risk of bias. Training included motivational interviewing, patient centred care communication, cardiovascular disease risk communication, shared decision making, cultural competency training and psychological skill training. The trials found no significant effects on HbA1c (n = 4501, pooled mean difference -0.02 mmol/mol, 95% CI -0.10 to 0.05), systolic blood pressure (n = 2505, pooled mean difference -2.61 mmHg, 95% CI -9.19 to 3.97), or diastolic blood pressure (n = 2440, pooled mean difference -0.06 mmHg, 95% CI -3.65 to 2.45). There was uncertainty in whether training was effective at improving secondary outcomes. CONCLUSION The communication skills training interventions for healthcare professionals identified in this systematic review did not improve HbA1c, BP or other relevant outcomes in patients with diabetes and hypertension. Further research is needed to methodically co-produce and evaluate communication skills training for chronic disease management with healthcare professionals and patients.
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Affiliation(s)
- Mi Yao
- Institute of Applied Health Research, University of Birmingham, Birmingham, B15 2TT, UK
| | - Xue-Ying Zhou
- Department of General Practice, Peking University Health Science Center, Beijing, China
| | - Zhi-Jie Xu
- Department of General Practice, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Richard Lehman
- Institute of Applied Health Research, University of Birmingham, Birmingham, B15 2TT, UK.
| | - Shamil Haroon
- Institute of Applied Health Research, University of Birmingham, Birmingham, B15 2TT, UK.
| | - Dawn Jackson
- Medical School, University of Birmingham, Birmingham, UK
| | - Kar Keung Cheng
- Institute of Applied Health Research, University of Birmingham, Birmingham, B15 2TT, UK
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Contextually Appropriate Tools and Solutions to Facilitate Healthy Eating Identified by People with Type 2 Diabetes. Nutrients 2021; 13:nu13072301. [PMID: 34371811 PMCID: PMC8308352 DOI: 10.3390/nu13072301] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Revised: 06/28/2021] [Accepted: 07/01/2021] [Indexed: 12/22/2022] Open
Abstract
Type 2 diabetes (T2D) is a complex, multifaceted disease and its treatment involves lifestyle intervention (LI) programs that participants may find difficult to adopt and maintain. The objective of this study is to understand the lived experiences of participants with T2D regarding healthy eating behavior change, in order to identify and incorporate relevant information, skills, and educational approaches into LI programs. An explorative qualitative study was undertaken. Purposeful sampling was used to recruit 15 participants. One-on-one, semi-structured, open-ended, and in-depth interviews were conducted. An essentialist paradigm was adopted to accurately report the experiences, meaning, and reality of participants. An inductive approach was used to analyze the data. Participants reported that being diagnosed and living with T2D could be overwhelming, and their ability to manage was influenced by health care providers (HCP), family, and individual context. Many experienced a loop of “good–bad” eating behaviors. Participants expressed desires for future diabetes management that would include program content (nutrition, physical activity, mental health, foot care, and consequences of T2D), program features (understand context, explicit information, individualized, hands-on learning, applicable, realistic, incremental, and practical), program components (access to multidisciplinary team, set goals, track progress and be held accountable, one-on-one sessions, group support, maintenance/follow-up), and policy change. In conclusion, the results of this study indicate that T2D management requires more extensive, comprehensive, and ongoing support, guided by the individual participant.
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Chinman M, Goldberg R, Daniels K, Muralidharan A, Smith J, McCarthy S, Medoff D, Peeples A, Kuykendall L, Vineyard N, Li L. Implementation of peer specialist services in VA primary care: a cluster randomized trial on the impact of external facilitation. Implement Sci 2021; 16:60. [PMID: 34099004 PMCID: PMC8183089 DOI: 10.1186/s13012-021-01130-2] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2020] [Accepted: 05/19/2021] [Indexed: 11/10/2022] Open
Abstract
Background Over 1100 veterans work in the Veterans Health Administration (VHA) as peer specialists (PSs)—those with formal training who support other veterans with similar diagnoses. A White House Executive Action mandated the pilot reassignment of VHA PSs from their usual placement in mental health to 25 primary care Patient Aligned Care Teams (PACTs) in order to broaden the provision of wellness services that can address many chronic illnesses. An evaluation of this initiative was undertaken to assess the impact of outside assistance on the deployment of PSs in PACTs, as implementation support is often needed to prevent challenges commonly experienced when first deploying PSs in new settings. Methods This study was a cluster-randomized hybrid II effectiveness-implementation trial to test the impact of minimal implementation support vs. facilitated implementation on the deployment of VHA PSs in PACT over 2 years. Twenty-five Veterans Affairs Medical Centers (VAMCs) were recruited to reassign mental health PSs to provide wellness-oriented care in PACT. Sites in three successive cohorts (n = 7, 10, 8) over 6-month blocks were matched and randomized to each study condition. In facilitated implementation, an outside expert worked with site stakeholders through a site visit and regular calls, and provided performance data to guide the planning and address challenges. Minimal implementation sites received a webinar and access to the VHA Office of Mental Health Services work group. The two conditions were compared on PS workload data and veteran measures of activation, satisfaction, and functioning. Qualitative interviews collected information on perceived usefulness of the PS services. Results In the first year, sites that received facilitation had higher numbers of unique veterans served and a higher number of PS visits, although the groups did not differ after the second year. Also, sites receiving external facilitation started delivering PS services more quickly than minimal support sites. All sites in the external facilitation condition continued in the pilot into the second year, whereas two of the sites in the minimal assistance condition dropped out after the first year. There were no differences between groups on veterans’ outcomes—activation, satisfaction, and functioning. Most veterans were very positive about the help they received as evidenced in the qualitative interviews. Discussion These findings demonstrate that external facilitation can be effective in supporting the implementation of PSs in primary care settings. The lack of significant differences across conditions after the second year highlights the positive outcomes associated with active facilitation, while also raising the important question of whether longer-term success may require some level of ongoing facilitation and implementation support. Trial registration This project is registered at ClinicalTrials.gov with number NCT02732600 (URL: https://clinicaltrials.gov/ct2/show/NCT02732600).
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Affiliation(s)
- Matthew Chinman
- VISN 4 Mental Illness Research, Education and Clinical Center, VA Pittsburgh, Pittsburgh, PA, USA. .,Center for Health Equity Research and Promotion, VA Pittsburgh, Pittsburgh, PA, USA. .,RAND Corporation, Pittsburgh, PA, USA.
| | - Richard Goldberg
- VISN 5 Mental Illness Research, Education and Clinical Center (MIRECC), Baltimore, MD, USA.,Division of Psychiatric Services Research-Department of Psychiatry, School of Medicine, University of Maryland, Baltimore, MD, USA
| | - Karin Daniels
- Center for Health Equity Research and Promotion, VA Pittsburgh, Pittsburgh, PA, USA
| | - Anjana Muralidharan
- VISN 5 Mental Illness Research, Education and Clinical Center (MIRECC), Baltimore, MD, USA
| | - Jeffrey Smith
- VA Behavioral Health Quality Enhancement Research Initiative (QUERI), Central Arkansas Veterans Healthcare System, North Little Rock, AR, USA
| | - Sharon McCarthy
- VISN 4 Mental Illness Research, Education and Clinical Center, VA Pittsburgh, Pittsburgh, PA, USA.,Center for Health Equity Research and Promotion, VA Pittsburgh, Pittsburgh, PA, USA
| | - Deborah Medoff
- VISN 5 Mental Illness Research, Education and Clinical Center (MIRECC), Baltimore, MD, USA.,Division of Psychiatric Services Research-Department of Psychiatry, School of Medicine, University of Maryland, Baltimore, MD, USA
| | - Amanda Peeples
- VISN 5 Mental Illness Research, Education and Clinical Center (MIRECC), Baltimore, MD, USA
| | - Lorrianne Kuykendall
- VISN 5 Mental Illness Research, Education and Clinical Center (MIRECC), Baltimore, MD, USA
| | - Natalie Vineyard
- VISN 5 Mental Illness Research, Education and Clinical Center (MIRECC), Baltimore, MD, USA
| | - Lan Li
- VISN 5 Mental Illness Research, Education and Clinical Center (MIRECC), Baltimore, MD, USA.,Division of Psychiatric Services Research-Department of Psychiatry, School of Medicine, University of Maryland, Baltimore, MD, USA
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Chan JCN, Lim LL, Shaw JE, Aguilar-Salinas CA, Gregg EW. Data on diabetes-specific distress are needed to improve the quality of diabetes care - Authors' reply. Lancet 2021; 397:2150. [PMID: 34090602 DOI: 10.1016/s0140-6736(21)00664-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Accepted: 03/09/2021] [Indexed: 01/15/2023]
Affiliation(s)
- Juliana C N Chan
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong Special Administrative Region, China; Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong Special Administrative Region, China; Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong Special Administrative Region, China.
| | - Lee-Ling Lim
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong Special Administrative Region, China; Department of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Jonathan E Shaw
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia; School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia; School of Life Sciences, La Trobe University, Melbourne, VIC, Australia
| | - Carlos A Aguilar-Salinas
- Departamento de Endocrinología y Metabolismo, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Edward W Gregg
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
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Chan JCN, Gagliardino JJ, Ilkova H, Lavalle F, Ramachandran A, Mbanya JC, Shestakova M, Dessapt-Baradez C, Chantelot JM, Aschner P. One in Seven Insulin-Treated Patients in Developing Countries Reported Poor Persistence with Insulin Therapy: Real World Evidence from the Cross-Sectional International Diabetes Management Practices Study (IDMPS). Adv Ther 2021; 38:3281-3298. [PMID: 33978906 PMCID: PMC8189989 DOI: 10.1007/s12325-021-01736-4] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Accepted: 03/30/2021] [Indexed: 12/19/2022]
Abstract
INTRODUCTION Although poor adherence to insulin is widely recognised, periodic discontinuation of insulin may cause more severe hyperglycaemia than poor adherence. We assessed persistence with insulin therapy in patients with type 1 (T1D) or type 2 diabetes (T2D) in developing countries and the reasons for insulin discontinuation. METHODS The International Diabetes Management Practices Study collected real-world data from developing countries in seven waves between 2005 and 2017. In Wave 7 (2016-2017), we asked adult patients with T1D and insulin-treated T2D to report whether they had ever discontinued insulin, the estimated duration of discontinuation and underlying reasons. RESULTS Among 8303 patients recruited from 24 countries by 620 physicians, 4596 were insulin-treated (T1D: 2000; T2D: 2596). In patients with T1D, 14.0% (95% CI: 12.5-15.6) reported having self-discontinued insulin for a median duration of 1.0 month (IQR: 0.5, 3.5). The respective figures in patients with T2D were 13.7% (12.4-15.1) and 2.0 months (IQR: 1.0, 6.0). The main reasons for discontinuation were impact on social life (T1D: 41.0%; T2D: 30.5%), cost of medications and test strips (T1D: 34.4%; T2D: 24.5%), fear of hypoglycaemia (T1D: 26.7%; T2D: 28.0%) and lack of support (T1D: 26.4%; T2D: 25.9%). Other factors included age < 40 years, non-university education and short disease duration (T1D: ≤ 1 year; T2D: > 1-≤ 5 years). Patients with T1D who did not perform self-monitoring of blood glucose (SMBG) or self-adjust their insulin dosage, and patients with T1D or T2D without glucose meters were less likely to persist with insulin. Nearly 50% of patients who reported poor persistence had HbA1c > 75 mmol/mol (> 9%) and > 50% of physicians recommended diabetes education programmes to improve treatment persistence. CONCLUSION In developing countries, poor persistence with insulin is common among insulin-treated patients, supporting calls for urgent actions to ensure easy access to insulin, tools for SMBG and education.
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Affiliation(s)
- Juliana C N Chan
- Department of Medicine and Therapeutics, Hong Kong Institute of Diabetes and Obesity and Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, The Prince of Wales Hospital, Shatin, Hong Kong SAR, China.
| | - Juan José Gagliardino
- CENEXA, Center of Experimental and Applied Endocrinology (La Plata National University-La Plata National Scientific and Technical Research Council), La Plata, Argentina
| | - Hasan Ilkova
- Division of Endocrinology Metabolism and Diabetes, Department of Internal Medicine, Cerrahpasa Medical Faculty, Istanbul University, Istanbul, Turkey
| | - Fernando Lavalle
- Facultad de Medicina de la Universidad Autónoma de Nuevo León, Monterrey, Mexico
| | - Ambady Ramachandran
- India Diabetes Research Foundation, Dr. A. Ramachandran's Diabetes Hospitals, Chennai, India
| | - Jean Claude Mbanya
- Biotechnology Center, Doctoral School of Life Sciences, Health and Environment, Faculty of Medicine and Biomedical Sciences, University of Yaounde I, Yaounde, Cameroon
| | - Marina Shestakova
- Endocrinology Research Center, Moscow, Russia
- I.M. Sechenov First Moscow State Medical University, Moscow, Russia
| | | | | | - Pablo Aschner
- Javeriana University School of Medicine, Bogotá, Colombia
- San Ignacio University Hospital, Bogotá, Colombia
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Factors Influencing Healthcare Experience of Patients with Self-Declared Diabetes: A Cross-Sectional Population-Based Study in the Basque Country. Healthcare (Basel) 2021; 9:healthcare9050509. [PMID: 33925113 PMCID: PMC8145886 DOI: 10.3390/healthcare9050509] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Revised: 04/22/2021] [Accepted: 04/24/2021] [Indexed: 01/03/2023] Open
Abstract
Background: Diabetes affects more than 400 million people around the world. Few published studies incorporate questionnaires that comprehensively cover every aspect of a patient’s experience of healthcare. This study analyzes potential differences in the healthcare experience for patients with diabetes based on their sociodemographic, economic, and health-related characteristics from a comprehensive viewpoint in an integrated delivery system. Methods: We used data from the 2018 Basque Health Survey, which includes a questionnaire for the measurement of the experiences of patients with chronic problems. We present descriptive and regression analyses to explore differences by sociodemographic, economic, and health-related characteristics of patients’ experiences with different healthcare services. Results: Having diabetes plus other comorbidities significantly decreases the quality of the experience with all healthcare services and decreases the global healthcare experience score. When comorbidities are present, the elderly seem to report better experiences than younger patients. Some differences in experience can be explained by sociodemographic and economic factors. No differences exist between conditions co-occurring with diabetes. Conclusion: Patients with diabetes who also suffer from other conditions report worse experiences than individuals who suffer from diabetes only. No specific conditions explain the differences in care experience.
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Lim LL, Lau ESH, Fu AWC, Ray S, Hung YJ, Tan ATB, Chamnan P, Sheu WHH, Chawla MS, Chia YC, Chuang LM, Nguyen DC, Sosale A, Saboo BD, Phadke U, Kesavadev J, Goh SY, Gera N, Huyen Vu TT, Ma RCW, Lau V, Luk AOY, Kong APS, Chan JCN. Effects of a Technology-Assisted Integrated Diabetes Care Program on Cardiometabolic Risk Factors Among Patients With Type 2 Diabetes in the Asia-Pacific Region: The JADE Program Randomized Clinical Trial. JAMA Netw Open 2021; 4:e217557. [PMID: 33929522 PMCID: PMC8087959 DOI: 10.1001/jamanetworkopen.2021.7557] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
IMPORTANCE Many health care systems lack the efficiency, preparedness, or resources needed to address the increasing number of patients with type 2 diabetes, especially in low- and middle-income countries. OBJECTIVE To examine the effects of a quality improvement intervention comprising information and communications technology and contact with nonphysician personnel on the care and cardiometabolic risk factors of patients with type 2 diabetes in 8 Asia-Pacific countries. DESIGN, SETTING, AND PARTICIPANTS This 12-month multinational open-label randomized clinical trial was conducted from June 28, 2012, to April 28, 2016, at 50 primary care or hospital-based diabetes centers in 8 Asia-Pacific countries (India, Indonesia, Malaysia, the Philippines, Singapore, Taiwan, Thailand, and Vietnam). Six countries were low and middle income, and 2 countries were high income. The study was conducted in 2 phases; phase 1 enrolled 7537 participants, and phase 2 enrolled 13 297 participants. Participants in both phases were randomized on a 1:1 ratio to intervention or control groups. Data were analyzed by intention to treat and per protocol from July 3, 2019, to July 21, 2020. INTERVENTIONS In both phases, the intervention group received 3 care components: a nurse-led Joint Asia Diabetes Evaluation (JADE) technology-guided structured evaluation, automated personalized reports to encourage patient empowerment, and 2 or more telephone or face-to-face contacts by nurses to increase patient engagement. In phase 1, the control group received the JADE technology-guided structured evaluation and automated personalized reports. In phase 2, the control group received the JADE technology-guided structured evaluation only. MAIN OUTCOMES AND MEASURES The primary outcome was the incidence of a composite of diabetes-associated end points, including cardiovascular disease, chronic kidney disease, visual impairment or eye surgery, lower extremity amputation or foot ulcers requiring hospitalization, all-site cancers, and death. The secondary outcomes were the attainment of 2 or more primary diabetes-associated targets (glycated hemoglobin A1c <7.0%, blood pressure <130/80 mm Hg, and low-density lipoprotein cholesterol <100 mg/dL) and/or 2 or more key performance indices (reduction in glycated hemoglobin A1c≥0.5%, reduction in systolic blood pressure ≥5 mm Hg, reduction in low-density lipoprotein cholesterol ≥19 mg/dL, and reduction in body weight ≥3.0%). RESULTS A total of 20 834 patients with type 2 diabetes were randomized in phases 1 and 2. In phase 1, 7537 participants (mean [SD] age, 60.0 [11.3] years; 3914 men [51.9%]; 4855 patients [64.4%] from low- and middle-income countries) were randomized, with 3732 patients allocated to the intervention group and 3805 patients allocated to the control group. In phase 2, 13 297 participants (mean [SD] age, 54.0 [11.1] years; 7754 men [58.3%]; 13 297 patients [100%] from low- and middle-income countries) were randomized, with 6645 patients allocated to the intervention group and 6652 patients allocated to the control group. In phase 1, compared with the control group, the intervention group had a similar risk of experiencing any of the primary outcomes (odds ratio [OR], 0.94; 95% CI, 0.74-1.21) but had an increased likelihood of attaining 2 or more primary targets (OR, 1.34; 95% CI, 1.21-1.49) and 2 or more key performance indices (OR, 1.18; 95% CI, 1.04-1.34). In phase 2, the intervention group also had a similar risk of experiencing any of the primary outcomes (OR, 1.02; 95% CI, 0.83-1.25) and had a greater likelihood of attaining 2 or more primary targets (OR, 1.25; 95% CI, 1.14-1.37) and 2 or more key performance indices (OR, 1.50; 95% CI, 1.33-1.68) compared with the control group. For attainment of 2 or more primary targets, larger effects were observed among patients in low- and middle-income countries (OR, 1.50; 95% CI, 1.29-1.74) compared with high-income countries (OR, 1.20; 95% CI, 1.03-1.39) (P = .04). CONCLUSIONS AND RELEVANCE In this 12-month clinical trial, the use of information and communications technology and nurses to empower and engage patients did not change the number of clinical events but did reduce cardiometabolic risk factors among patients with type 2 diabetes, especially those in low- and middle-income countries in the Asia-Pacific region. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT01631084.
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Affiliation(s)
- Lee-Ling Lim
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong Special Administrative Region, China
- Asia Diabetes Foundation, Shatin, Hong Kong Special Administrative Region, China
- Department of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Eric S. H. Lau
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong Special Administrative Region, China
- Asia Diabetes Foundation, Shatin, Hong Kong Special Administrative Region, China
| | - Amy W. C. Fu
- Asia Diabetes Foundation, Shatin, Hong Kong Special Administrative Region, China
| | | | - Yi-Jen Hung
- Tri-Service General Hospital, Taipei, Taiwan
| | - Alexander T. B. Tan
- Department of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
- Now with Sunway Medical Centre, Selangor, Malaysia
| | | | | | | | - Yook-Chin Chia
- Department of Primary Care Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | | | | | | | | | | | | | - Su-Yen Goh
- Department of Endocrinology, Singapore General Hospital, Outram Road, Singapore
| | - Neeru Gera
- Max Healthcare Institute, New Delhi, India
| | - Thi Thanh Huyen Vu
- Department of Internal Medicine, Hanoi Medical University, Hanoi, Vietnam
| | - Ronald C. W. Ma
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong Special Administrative Region, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong Special Administrative Region, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong Special Administrative Region, China
| | - Vanessa Lau
- Asia Diabetes Foundation, Shatin, Hong Kong Special Administrative Region, China
| | - Andrea O. Y. Luk
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong Special Administrative Region, China
- Asia Diabetes Foundation, Shatin, Hong Kong Special Administrative Region, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong Special Administrative Region, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong Special Administrative Region, China
| | - Alice P. S. Kong
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong Special Administrative Region, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong Special Administrative Region, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong Special Administrative Region, China
| | - Juliana C. N. Chan
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong Special Administrative Region, China
- Asia Diabetes Foundation, Shatin, Hong Kong Special Administrative Region, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong Special Administrative Region, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong Special Administrative Region, China
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Navaneethan SD, Zoungas S, Caramori ML, Chan JCN, Heerspink HJL, Hurst C, Liew A, Michos ED, Olowu WA, Sadusky T, Tandon N, Tuttle KR, Wanner C, Wilkens KG, Lytvyn L, Craig JC, Tunnicliffe DJ, Howell M, Tonelli M, Cheung M, Earley A, Rossing P, de Boer IH, Khunti K. Diabetes Management in Chronic Kidney Disease: Synopsis of the 2020 KDIGO Clinical Practice Guideline. Ann Intern Med 2021; 174:385-394. [PMID: 33166222 DOI: 10.7326/m20-5938] [Citation(s) in RCA: 91] [Impact Index Per Article: 30.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
DESCRIPTION The Kidney Disease: Improving Global Outcomes (KDIGO) organization developed a clinical practice guideline in 2020 for the management of patients with diabetes and chronic kidney disease (CKD). METHODS The KDIGO Work Group (WG) was tasked with developing the guideline for diabetes management in CKD. It defined the scope of the guideline, gathered evidence, determined systematic review topics, and graded evidence that had been summarized by an evidence review team. The English-language literature searches, which were initially done through October 2018, were updated in February 2020. The WG used the GRADE (Grading of Recommendations Assessment, Development and Evaluation) approach to appraise evidence and rate the strength of the recommendations. Expert judgment was used to develop consensus practice points supplementary to the evidence-based graded recommendations. The guideline document underwent open public review. Comments from various stakeholders, subject matter experts, and industry and national organizations were considered before the document was finalized. RECOMMENDATIONS The guideline includes 12 recommendations and 48 practice points for clinicians caring for patients with diabetes and CKD. This synopsis focuses on the key recommendations pertinent to the following issues: comprehensive care needs, glycemic monitoring and targets, lifestyle interventions, antihyperglycemic therapies, and educational and integrated care approaches.
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Affiliation(s)
- Sankar D Navaneethan
- Section of Nephrology and Institute of Clinical and Translational Research, Baylor College of Medicine, and Michael E. DeBakey VA Medical Center, Houston, Texas (S.D.N.)
| | - Sophia Zoungas
- Monash University, School of Public Health and Preventive Medicine, Melbourne, Victoria, Australia (S.Z.)
| | | | - Juliana C N Chan
- Hong Kong Institute of Diabetes and Obesity and Li Ka Shing Institute of Health Science, The Chinese University of Hong Kong, Hong Kong, China (J.C.C.)
| | - Hiddo J L Heerspink
- University of Groningen and University Medical Center, Groningen, the Netherlands (H.J.H.)
| | | | - Adrian Liew
- Mount Elizabeth Novena Hospital, Singapore (A.L.)
| | - Erin D Michos
- Johns Hopkins University School of Medicine, Baltimore, Maryland (E.D.M.)
| | - Wasiu A Olowu
- Obafemi Awolowo University Teaching Hospitals Complex, Ile-Ife, Osun, Nigeria (W.A.O.)
| | | | - Nikhil Tandon
- All India Institute of Medical Sciences, New Delhi, India (N.T.)
| | | | | | | | - Lyubov Lytvyn
- MAGIC Evidence Ecosystem Foundation, McMaster University, Hamilton, Ontario, Canada (L.L.)
| | - Jonathan C Craig
- College of Medicine and Public Health, Flinders University, and Cochrane Kidney and Transplant, Adelaide, Australia (J.C.C.)
| | - David J Tunnicliffe
- School of Public Health, The University of Sydney, and Cochrane Kidney and Transplant, Sydney, Australia (D.J.T., M.H.)
| | - Martin Howell
- School of Public Health, The University of Sydney, and Cochrane Kidney and Transplant, Sydney, Australia (D.J.T., M.H.)
| | | | | | | | - Peter Rossing
- Steno Diabetes Center and University of Copenhagen, Copenhagen, Denmark (P.R.)
| | - Ian H de Boer
- University of Washington, Kidney Research Institute, Seattle, Washington (I.H.D.)
| | - Kamlesh Khunti
- Diabetes Research Centre, University of Leicester, and Leicester General Hospital, Leicester, United Kingdom (K.K.)
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