1
|
Gupta R, Shivashankar R, Kondal D, Gokulakrishnan K, Patel SA, Ali MK, Narayan KMV, Mohan V, Tandon N, Prabhakaran D. Association of pro-inflammatory cytokines, adipokines and hepatokine with incident diabetes in India: a nested case-control study within CARRS cohort. Acta Diabetol 2024; 61:577-586. [PMID: 38315202 DOI: 10.1007/s00592-023-02229-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Accepted: 12/21/2023] [Indexed: 02/07/2024]
Abstract
AIMS To study the association of pro-inflammatory markers with incident diabetes in India. METHODS We did a nested case-control study within the CARRS (Centre for Ardiometabolic Risk Reduction in South Asia) cohort. Of the 5739 diabetes-free individuals at the baseline, 216 participants with incident diabetes and 432 age-, gender- and city-matched controls at 2-year follow-up were included. We measured high sensitive C-reactive protein (hsCRP), interleukin-6 (IL-6), tumor necrosis factor-α (TNF-α), monocyte chemoattractant protein-1 ( MCP-1), adiponectin, leptin and fetuin-A in the stored baseline blood samples. We did multivariate conditional logistic regression to estimate association of inflammatory markers (as quartiles) and incident diabetes. Covariates were baseline fasting plasma glucose (FPG) and lipids, body mass index (BMI), family history of diabetes, smoking and alcohol use. RESULTS Baseline hsCRP and TNF-α were higher, and IL-6 and adiponectin were lower among cases vs. controls. In multivariate conditional logistic regression models, only quartile-3 (odds ratio [OR]: 2.96 [95% CI:1.39, 6.30]) and quartile-4 (OR: 2.58 [95% CI: 1.15, 5.79]) of TNF-α and quartile-4 of MCP-1 (OR: 2.55 [95% CI: 1.06, 6.16]) were positively associated with diabetes after adjusting for baseline FPG and BMI. These associations did not remain after adjusting for family history. High level (quartile-4) of IL-6 was negatively associated with diabetes after adjusting for all factors (OR: 0.18 [95% CI: 0.06, 0.55]). CONCLUSIONS Higher TNF-α and MCP-1 levels and lower IL-6 were associated with higher risk of developing diabetes. Better understanding and potential methods of addressing these biomarkers, especially in relation to family history, are needed to address diabetes in South Asians.
Collapse
Affiliation(s)
- Ruby Gupta
- Centre for Chronic Disease Control, New Delhi, India.
| | | | - Dimple Kondal
- Centre for Chronic Disease Control, New Delhi, India
| | | | - Shivani A Patel
- Rollins School of Public Health, Emory University, Atlanta, USA
| | - Mohammed K Ali
- Emory Global Diabetes Research Center, Emory University, Atlanta, USA
- Department of Family & Preventive Medicine, School of Medicine, Emory University, Atlanta, USA
| | - K M Venkat Narayan
- Emory Global Diabetes Research Center, Woodruff Health Sciences Center, Emory University, Atlanta, USA
| | | | - Nikhil Tandon
- All India Institute of Medical Sciences, New Delhi, India
| | | |
Collapse
|
2
|
Narayan KV, Kondal D, Chang HH, Mohan D, Gujral UP, Anjana RM, Staimez LR, Patel SA, Ali MK, Prabhakaran D, Tandon N, Mohan V. Natural History of Type 2 Diabetes in Indians: Time to Progression. Diabetes Care 2024; 47:858-863. [PMID: 38427346 PMCID: PMC11043225 DOI: 10.2337/dc23-1514] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Accepted: 02/06/2024] [Indexed: 03/02/2024]
Abstract
OBJECTIVE To describe the natural history of diabetes in Indians. RESEARCH DESIGN AND METHODS Data are from participants older than 20 years in the Centre for Cardiometabolic Risk Reduction in South Asia longitudinal study. Glycemic states were defined per American Diabetes Association criteria. Markov models were used to estimate annual transition probabilities and sojourn time through states. RESULTS Among 2,714 diabetes-free participants, 641 had isolated impaired fasting glucose (iIFG), and 341 had impaired glucose tolerance (IGT). The annual transition to diabetes for those with IGT was 13.9% (95% CI 12.0, 15.9) versus 8.6% (7.3, 9.8) for iIFG. In the normoglycemia ↔ iIFG → diabetes model, mean sojourn time in normoglycemia was 40.3 (34.6, 48.2) years, and sojourn time in iIFG was 9.7 (8.4, 11.4) years. For the normoglycemia ↔ IGT → diabetes model, mean sojourn time in normoglycemia was 34.5 (29.5, 40.8) years, and sojourn time in IGT was 6.1 (5.3, 7.1) years. CONCLUSIONS Individuals reside in normoglycemia for 35-40 years; however, progression from prediabetes to diabetes is rapid.
Collapse
Affiliation(s)
- K.M. Venkat Narayan
- Emory Global Diabetes Research Center, Woodruff Health Sciences Center and Emory University, Atlanta, GA
- Rollins School of Public Health, Emory University, Atlanta, GA
| | - Dimple Kondal
- Public Health Foundation of India, New Delhi, India
- Centre for Chronic Disease Control, New Delhi, India
| | - Howard H. Chang
- Emory Global Diabetes Research Center, Woodruff Health Sciences Center and Emory University, Atlanta, GA
| | - Deepa Mohan
- Madras Diabetes Research Foundation & Dr. Mohan’s Diabetes Specialties Centre, Chennai, India
| | - Unjali P. Gujral
- Emory Global Diabetes Research Center, Woodruff Health Sciences Center and Emory University, Atlanta, GA
- Rollins School of Public Health, Emory University, Atlanta, GA
| | - Ranjit Mohan Anjana
- Madras Diabetes Research Foundation & Dr. Mohan’s Diabetes Specialties Centre, Chennai, India
| | - Lisa R. Staimez
- Emory Global Diabetes Research Center, Woodruff Health Sciences Center and Emory University, Atlanta, GA
- Rollins School of Public Health, Emory University, Atlanta, GA
| | - Shivani A. Patel
- Emory Global Diabetes Research Center, Woodruff Health Sciences Center and Emory University, Atlanta, GA
- Rollins School of Public Health, Emory University, Atlanta, GA
| | - Mohammed K. Ali
- Emory Global Diabetes Research Center, Woodruff Health Sciences Center and Emory University, Atlanta, GA
- Rollins School of Public Health, Emory University, Atlanta, GA
| | - Dorairaj Prabhakaran
- Rollins School of Public Health, Emory University, Atlanta, GA
- Public Health Foundation of India, New Delhi, India
- Centre for Chronic Disease Control, New Delhi, India
| | - Nikhil Tandon
- All India Institute of Medical Sciences, New Delhi, India
| | - Viswanathan Mohan
- Madras Diabetes Research Foundation & Dr. Mohan’s Diabetes Specialties Centre, Chennai, India
| |
Collapse
|
3
|
Choi JY, Choi D, Mehta NK, Ali MK, Patel SA. Diabetes disparities in the United States: Trends by educational attainment from 2001 to 2020. Am J Prev Med 2024:S0749-3797(24)00131-4. [PMID: 38615980 DOI: 10.1016/j.amepre.2024.04.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Revised: 04/06/2024] [Accepted: 04/07/2024] [Indexed: 04/16/2024]
Abstract
INTRODUCTION Tracking changes in socioeconomic disparities in diabetes in the US is important to evaluate progress in health equity and guide prevention efforts. Disparities in diabetes prevalence by educational attainment from 2001 to 2020 were investigated. METHODS Using a serial cross-sectional design, data from 33,220 adults aged 30 to 79 assessed in nine rounds of the National Health and Nutrition Examination Surveys between 2001 to 2020 were analyzed in 2023-4. Diabetes was defined as self-reported prior diagnosis, elevated glycated hemoglobin (HbA1c≥6.5%), or use of diabetes medications. Marginalized age- and covariate-adjusted prevalence differences (PD) and prevalence ratios (PR) of diabetes by educational attainment (less than high school graduation, high school graduation, some college education or associate degree, or college graduation [reference]) by calendar period (2001-04, 2005-08, 2009-12, 2013-16, 2017-20) were derived from logistic regression models. RESULTS From 2001 to 2020, age-adjusted diabetes prevalence was consistently higher among adults without a college degree. Adults without a high school diploma exhibited the largest disparities in both 2001-04 (PD 8.0%; 95%CI 5.6-10.5 and PR 2.1; 95%CI 1.5-2.6) and 2017-20 (PD 11.0%; 95%CI 6.7-15.2 and PR 2.1; 95%CI 1.5-2.7). Between 2001-04 and 2017-20, the absolute disparity in diabetes increased only among adults with a high school diploma (PD 1.7% 95%CI -0.5-3.9 vs PD 8.8%; 4.1-13.4, respectively), while the PR did not change in any group. Education-related disparities in diabetes were attenuated after accounting for socio-demographic factors and BMI. CONCLUSIONS From 2001 to 2020, national education-related disparities in diabetes prevalence have shown no signs of narrowing.
Collapse
Affiliation(s)
- Ji Young Choi
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA
| | - Daesung Choi
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA
| | - Neil K Mehta
- Department of Preventive Medicine and Population Health, University of Texas Medical Branch, Galveston, TX
| | - Mohammed K Ali
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA; Department of Family and Preventive Medicine, School of Medicine, Emory University, Atlanta, GA
| | - Shivani A Patel
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA.
| |
Collapse
|
4
|
Deressa HD, Abuye H, Adinew A, Ali MK, Kebede T, Habte BM. Access to essential medicines for diabetes care: availability, price, and affordability in central Ethiopia. Glob Health Res Policy 2024; 9:12. [PMID: 38584277 PMCID: PMC10999076 DOI: 10.1186/s41256-024-00352-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2023] [Accepted: 03/31/2024] [Indexed: 04/09/2024] Open
Abstract
BACKGROUND Diabetes is a major global public health burden. Effective diabetes management is highly dependent on the availability of affordable and quality-assured essential medicines (EMs) which is a challenge especially in low-and-middle-income countries such as Ethiopia. This study aimed to assess the accessibility of EMs used for diabetes care in central Ethiopia's public and private medicine outlets with respect to availability and affordability parameters. METHODS A cross-sectional study was conducted in 60 selected public and private medicine outlets in central Ethiopia from January to February 2022 using the World Health Organization/Health Action International (WHO/HAI) standard tool to assess access to EMs. We included EMs that lower glucose, blood pressure, and cholesterol as these are all critical for diabetes care. Availability was determined as the percentage of surveyed outlets per sector in which the selected lowest-priced generic (LPG) and originator brand (OB) products were found. The number of days' wages required by the lowest paid government worker (LPGW) to purchase a one month's supply of medicines was used to measure affordability while median price was determined to assess patient price and price markup difference between public procurement and retail prices. RESULTS Across all facilities, availability of LPG and OB medicines were 34.6% and 2.5% respectively. Only two glucose-lowering (glibenclamide 5 mg and metformin 500 mg) and two blood pressure-lowering medications (nifedipine 20 mg and hydrochlorothiazide 25 mg) surpassed the WHO's target of 80% availability. The median price based on the least measurable unit of LPG diabetes EMs was 1.6 ETB (0.033 USD) in public and 4.65 ETB (0.095 USD) in private outlets. The cost of one month's supply of diabetes EMs was equivalent to 0.3 to 3.1 days wages in public and 1.0 to 11.0 days wages in private outlets, respectively, for a typical LPGW. Thus, 58.8% and 84.6% of LPG diabetes EMs included in the price analysis were unaffordable in private and public outlets, respectively. CONCLUSIONS There are big gaps in availability and affordability of EMs used for diabetes in central Ethiopia. Policy makers should work to improve access to diabetes EMs. It is recommended to increase government attention to availing affordable EMs for diabetes care including at the primary healthcare levels which are more accessible to the majority of the population. Similar studies are also recommended to be conducted in different parts of Ethiopia.
Collapse
Affiliation(s)
- Hachalu Dugasa Deressa
- School of Pharmacy, College of Health Sciences, Addis Ababa University, P. O. Box 9086, Addis Ababa, Ethiopia
- Addis Ababa City Administration Regional Health Bureau, Addis Ababa, Ethiopia
| | - Habtamu Abuye
- Department of Pharmacy, College of Medicine and Health Sciences, Wachemo University, Hossaena, Ethiopia
| | - Alemayehu Adinew
- School of Pharmacy, College of Health Sciences, Addis Ababa University, P. O. Box 9086, Addis Ababa, Ethiopia
| | - Mohammed K Ali
- Department of Family and Preventive Medicine, School of Medicine, Emory University, Atlanta, GA, US
- Emory Global Diabetes Research Center of the Woodruff Health Sciences Center and Emory University, Atlanta, GA, US
| | - Tedla Kebede
- School of Medicine, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia
| | - Bruck Messele Habte
- School of Pharmacy, College of Health Sciences, Addis Ababa University, P. O. Box 9086, Addis Ababa, Ethiopia.
| |
Collapse
|
5
|
Anand K, Walia GK, Mandal S, Menon JS, Gupta R, Tandon N, Narayan KMV, Ali MK, Mohan V, Schwartz JD, Prabhakaran D. Longitudinal associations between ambient PM 2.5 exposure and lipid levels in two Indian cities. Environ Epidemiol 2024; 8:e295. [PMID: 38617424 PMCID: PMC11008625 DOI: 10.1097/ee9.0000000000000295] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Accepted: 01/10/2024] [Indexed: 04/16/2024] Open
Abstract
Background Exposure to ambient PM2.5 is known to affect lipid metabolism through systemic inflammation and oxidative stress. Evidence from developing countries, such as India with high levels of ambient PM2.5 and distinct lipid profiles, is sparse. Methods Longitudinal nonlinear mixed-effects analysis was conducted on >10,000 participants of Centre for cArdiometabolic Risk Reduction in South Asia (CARRS) cohort in Chennai and Delhi, India. We examined associations between 1-month and 1-year average ambient PM2.5 exposure derived from the spatiotemporal model and lipid levels (total cholesterol [TC], triglycerides [TRIG], high-density lipoprotein cholesterol [HDL-C], and low-density lipoprotein cholesterol [LDL-C]) measured longitudinally, adjusting for residential and neighborhood-level confounders. Results The mean annual exposure in Chennai and Delhi was 40 and 102 μg/m3 respectively. Elevated ambient PM2.5 levels were associated with an increase in LDL-C and TC at levels up to 100 µg/m3 in both cities and beyond 125 µg/m3 in Delhi. TRIG levels in Chennai increased until 40 µg/m3 for both short- and long-term exposures, then stabilized or declined, while in Delhi, there was a consistent rise with increasing annual exposures. HDL-C showed an increase in both cities against monthly average exposure. HDL-C decreased slightly in Chennai with an increase in long-term exposure, whereas it decreased beyond 130 µg/m3 in Delhi. Conclusion These findings demonstrate diverse associations between a wide range of ambient PM2.5 and lipid levels in an understudied South Asian population. Further research is needed to establish causality and develop targeted interventions to mitigate the impact of air pollution on lipid metabolism and cardiovascular health.
Collapse
Affiliation(s)
- Kritika Anand
- Centre for Chronic Disease Control, New Delhi, India
| | | | | | - Jyothi S. Menon
- Centre for Chronic Disease Control, New Delhi, India
- Public Health Foundation of India, Gurugram, India
| | - Ruby Gupta
- Centre for Chronic Disease Control, New Delhi, India
- Public Health Foundation of India, Gurugram, India
| | - Nikhil Tandon
- All India Institute of Medical Sciences, New Delhi, India
| | - K. M. Venkat Narayan
- Emory Global Diabetes Research Center of the Woodruff Health Sciences Center, Atlanta, Georgia
- Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - Mohammed K. Ali
- Emory Global Diabetes Research Center of the Woodruff Health Sciences Center, Atlanta, Georgia
- Rollins School of Public Health, Emory University, Atlanta, Georgia
| | | | - Joel D. Schwartz
- Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
| | - Dorairaj Prabhakaran
- Centre for Chronic Disease Control, New Delhi, India
- Public Health Foundation of India, Gurugram, India
| |
Collapse
|
6
|
Fields ND, Narayan KMV, Ranjani H, Staimez LR, Anjana RM, Patel SA, Mohan V, Ali MK, Weber MB. Perceived stress and progression of cardiometabolic risk factors among South Asians with prediabetes in a lifestyle intervention trial. Prim Care Diabetes 2024; 18:183-187. [PMID: 38177017 PMCID: PMC11009057 DOI: 10.1016/j.pcd.2023.12.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Revised: 12/19/2023] [Accepted: 12/20/2023] [Indexed: 01/06/2024]
Abstract
AIMS To examine associations between perceived stress and cardiometabolic risk factors in South Asians with prediabetes and assess whether a diabetes prevention program mitigates the impact of stress on cardiometabolic health. METHODS We conducted a secondary analysis of the Diabetes Community Lifestyle Improvement Program, a lifestyle modification trial for diabetes prevention in India (n = 564). Indicators for cardiometabolic health (weight, waist circumference, blood pressure, glucose, HbA1c, and lipids) were measured at each visit while perceived stress was assessed via questionnaire at baseline. Multivariable linear regression assessed associations between stress and cardiometabolic parameters at baseline and 3-year follow up. RESULTS At baseline, perceived stress was associated with higher weight (b=0.16; 95% CI: 0.04, 0.29) and waist circumference (b=0.11; 95% CI: 0.01, 0.21) but lower 30-minute postload glucose (b=-0.44; 95% CI: -0.76, -0.14) and LDL cholesterol (b=-0.40; 95% CI: -0.76, -0.03). Over the study period, perceived stress was associated with weight gain (b=0.20; 95% CI: 0.07, 0.33) and increased waist circumference (b=0.14; 95% CI: 0.04, 0.24). Additionally, higher perceived stress was associated with lower HDL cholesterol among the control arm (pinteraction = 0.02). CONCLUSIONS Baseline stress was associated with negative cardiometabolic risk factor outcomes over time in those with prediabetes.
Collapse
Affiliation(s)
- Nicole D Fields
- Department of Epidemiology, Emory University, 1518 Clifton Road NE, Atlanta, GA 30322, USA; Hubert Department of Global Health, Emory University, 1518 Clifton Road NE, Atlanta, GA 30322, USA.
| | - K M Venkat Narayan
- Hubert Department of Global Health, Emory University, 1518 Clifton Road NE, Atlanta, GA 30322, USA
| | - Harish Ranjani
- Madras Diabetes Research Foundation, Chennai 600086, India
| | - Lisa R Staimez
- Hubert Department of Global Health, Emory University, 1518 Clifton Road NE, Atlanta, GA 30322, USA
| | - Ranjit Mohan Anjana
- Madras Diabetes Research Foundation, Chennai 600086, India; Dr. Mohan's Diabetes Specialities Centre, IDF Centre of Excellence in Diabetes Care, Chennai 600086, India
| | - Shivani A Patel
- Department of Epidemiology, Emory University, 1518 Clifton Road NE, Atlanta, GA 30322, USA; Hubert Department of Global Health, Emory University, 1518 Clifton Road NE, Atlanta, GA 30322, USA
| | - Viswanathan Mohan
- Madras Diabetes Research Foundation, Chennai 600086, India; Dr. Mohan's Diabetes Specialities Centre, IDF Centre of Excellence in Diabetes Care, Chennai 600086, India
| | - Mohammed K Ali
- Hubert Department of Global Health, Emory University, 1518 Clifton Road NE, Atlanta, GA 30322, USA; Department of Family and Preventive Medicine, School of Medicine, Emory University, 100 Woodruff Circle, Atlanta, GA 30322, USA
| | - Mary Beth Weber
- Hubert Department of Global Health, Emory University, 1518 Clifton Road NE, Atlanta, GA 30322, USA
| |
Collapse
|
7
|
Young Choi J, Ali MK, Choi D. Determinants of health and mortality in undiagnosed diabetes: A nationally representative US adult, 2011-2020. Diabetes Res Clin Pract 2024; 210:111634. [PMID: 38522632 DOI: 10.1016/j.diabres.2024.111634] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Revised: 03/09/2024] [Accepted: 03/20/2024] [Indexed: 03/26/2024]
Abstract
AIM This study examines the determinants of health and mortality associated with undiagnosed diabetes among a nationally representative sample of US adults. METHODS Data are from the National Health and Nutrition Examination Survey between 2011 and 2012 and 2019-2020. Diabetes status is categorized into three groups: undiagnosed diabetes, diagnosed diabetes, and no diabetes. Multiple logistic regression is used to estimate the association between undiagnosed diabetes and three domains of risk factors, including sociodemographic and health behavioral and clinical factors. Cox proportional hazards models are performed to compare excess mortality risk between the three groups. RESULTS Young adults, racial minorities, the foreign-born, and individuals with limited access to health care are more likely to be unaware of their diabetes. Moreover, adults without a family history of diabetes and chronic conditions have a higher chance of undiagnosed diabetes. No health behavioral factors are found to be associated with undiagnosed diabetes. Adults with undiagnosed diabetes have a lower risk of all-cause and cardiovascular disease mortality compared to those with diagnosed diabetes, but a higher risk of all-cause mortality than those with no diabetes. CONCLUSION Targeted public health approaches should address sociodemographic and clinical factors to reduce the burden of undiagnosed diabetes.
Collapse
Affiliation(s)
- Ji Young Choi
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA 30322 USA.
| | - Mohammed K Ali
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA 30322 USA; Emory Global Diabetes Research Center of the Woodruff Health Sciences Center and Emory University, Atlanta, USA; Department of Family and Preventive Medicine, School of Medicine, Emory University, Atlanta, USA
| | - Daesung Choi
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA 30322 USA
| |
Collapse
|
8
|
Diallo AO, Marcus ME, Flood D, Theilmann M, Rahim NE, Kinlaw A, Franceschini N, Stürmer T, Tien DV, Abbasi-Kangevari M, Agoudavi K, Andall-Brereton G, Aryal K, Bahendeka S, Bicaba B, Bovet P, Dorobantu M, Farzadfar F, Ghamari SH, Gathecha G, Guwatudde D, Gurung M, Houehanou C, Houinato D, Hwalla N, Jorgensen J, Kagaruki G, Karki K, Martins J, Mayige M, McClure RW, Moghaddam SS, Mwalim O, Mwangi KJ, Norov B, Quesnel-Crooks S, Sibai A, Sturua L, Tsabedze L, Wesseh C, Geldsetzer P, Atun R, Vollmer S, Bärnighausen T, Davies J, Ali MK, Seiglie JA, Gower EW, Manne-Goehler J. Multiple cardiovascular risk factor care in 55 low- and middle-income countries: A cross-sectional analysis of nationally-representative, individual-level data from 280,783 adults. PLOS Glob Public Health 2024; 4:e0003019. [PMID: 38536787 PMCID: PMC10971750 DOI: 10.1371/journal.pgph.0003019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Accepted: 02/20/2024] [Indexed: 04/26/2024]
Abstract
The prevalence of multiple age-related cardiovascular disease (CVD) risk factors is high among individuals living in low- and middle-income countries. We described receipt of healthcare services for and management of hypertension and diabetes among individuals living with these conditions using individual-level data from 55 nationally representative population-based surveys (2009-2019) with measured blood pressure (BP) and diabetes biomarker. We restricted our analysis to non-pregnant individuals aged 40-69 years and defined three mutually exclusive groups (i.e., hypertension only, diabetes only, and both hypertension-diabetes) to compare individuals living with concurrent hypertension and diabetes to individuals with each condition separately. We included 90,086 individuals who lived with hypertension only, 11,975 with diabetes only, and 16,228 with hypertension-diabetes. We estimated the percentage of individuals who were aware of their diagnosis, used pharmacological therapy, or achieved appropriate hypertension and diabetes management. A greater percentage of individuals with hypertension-diabetes were fully diagnosed (64.1% [95% CI: 61.8-66.4]) than those with hypertension only (47.4% [45.3-49.6]) or diabetes only (46.7% [44.1-49.2]). Among the hypertension-diabetes group, pharmacological treatment was higher for individual conditions (38.3% [95% CI: 34.8-41.8] using antihypertensive and 42.3% [95% CI: 39.4-45.2] using glucose-lowering medications) than for both conditions jointly (24.6% [95% CI: 22.1-27.2]).The percentage of individuals achieving appropriate management was highest in the hypertension group (17.6% [16.4-18.8]), followed by diabetes (13.3% [10.7-15.8]) and hypertension-diabetes (6.6% [5.4-7.8]) groups. Although health systems in LMICs are reaching a larger share of individuals living with both hypertension and diabetes than those living with just one of these conditions, only seven percent achieved both BP and blood glucose treatment targets. Implementation of cost-effective population-level interventions that shift clinical care paradigm from disease-specific to comprehensive CVD care are urgently needed for all three groups, especially for those with multiple CVD risk factors.
Collapse
Affiliation(s)
- Alpha Oumar Diallo
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Maja E. Marcus
- Department of Economics and Centre for Modern Indian Studies, University of Goettingen, Göttingen, Germany
| | - David Flood
- University of Michigan, Ann Arbor, Michigan, United States of America
| | - Michaela Theilmann
- Faculty of Medicine and University Hospital, Heidelberg Institute of Global Health, Heidelberg University, Heidelberg, Germany
| | - Nicholas E. Rahim
- Medical Practice Evaluation Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States of America
| | - Alan Kinlaw
- Division of Pharmaceutical Outcomes and Policy, Eshelman School of Pharmacy, University of North Carolina School of Pharmacy at Chapel Hill, Chapel Hill, North Carolina, United States of America
- Cecil G. Sheps Center for Health Services Research, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Nora Franceschini
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Til Stürmer
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Dessie V. Tien
- Medical Practice Evaluation Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States of America
| | - Mohsen Abbasi-Kangevari
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | | | | | - Krishna Aryal
- Nepal Health Sector Programme 3, Monitoring Evaluation and Operational Research Project, Abt Associates, Kathmandu, Nepal
| | | | - Brice Bicaba
- Institut Africain de Santé Publique, Ouagadougou, Burkina Faso
| | - Pascal Bovet
- Ministry of Health, Victoria, Seychelles
- University Center for Primary Care and Public Health (Unisanté), Lausanne, Switzerland
| | - Maria Dorobantu
- Department of Cardiology, Emergency Hospital of Bucharest, Bucharest, Romania
| | - Farshad Farzadfar
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Seyyed-Hadi Ghamari
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Gladwell Gathecha
- Division of Non-Communicable Diseases, Ministry of Health, Nairobi, Kenya
| | - David Guwatudde
- Department of Epidemiology and Biostatistics, School of Public Health, Makerere University, Kampala, Uganda
| | - Mongal Gurung
- Health Research and Epidemiology Unit, Ministry of Health, Thimphu, Bhutan
| | - Corine Houehanou
- Laboratory of Epidemiology of Chronic and Neurological Diseases, Faculty of Health Sciences, University of Abomey-Calavi, Cotonou, Benin
| | - Dismand Houinato
- Laboratory of Epidemiology of Chronic and Neurological Diseases, Faculty of Health Sciences, University of Abomey-Calavi, Cotonou, Benin
| | - Nahla Hwalla
- Faculty of Agricultural and Food Sciences, American University of Beirut, Beirut, Lebanon
| | - Jutta Jorgensen
- Dept of Public Health and Epidemiology, Institute of Global Health, Copenhagen University, Copenhagen, Denmark
| | - Gibson Kagaruki
- National Institute for Medical Research, Dar es Salaam, Tanzania
| | - Khem Karki
- Department of Community Medicine and Public Health, Institute of Medicine, Tribhuvan University, Kathmandu, Nepal
| | - Joao Martins
- Faculty of Medicine and Health Sciences, Universidade Nacional Timor Lorosa’e, Dili, Timor-Leste
| | - Mary Mayige
- National Institute for Medical Research, Dar es Salaam, Tanzania
| | - Roy Wong McClure
- Office of Epidemiology and Surveillance, Costa Rican Social Security Fund, San José, Costa Rica
| | - Sahar Saeedi Moghaddam
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | | | | | - Bolormaa Norov
- Nutrition Department, National Center for Public Health, Ulaanbaatar, Mongolia
| | | | - Abla Sibai
- Department of Epidemiology and Population Health, Faculty of Health Sciences, American University of Beirut, Beirut, Lebanon
| | - Lela Sturua
- Non-Communicable Disease Department, National Center for Disease Control and Public Health, Tbilisi, Georgia
| | | | | | - Pascal Geldsetzer
- Faculty of Medicine and University Hospital, Heidelberg Institute of Global Health, Heidelberg University, Heidelberg, Germany
- Division of Primary Care and Population Health, Stanford University, Stanford, California, United States of America
| | - Rifat Atun
- Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, United States of America
- Department of Global Health and Social Medicine, Harvard Medical School, Harvard University, Boston, Massachusetts, United States of America
| | - Sebastian Vollmer
- Department of Economics and Centre for Modern Indian Studies, University of Goettingen, Göttingen, Germany
| | - Till Bärnighausen
- Faculty of Medicine and University Hospital, Heidelberg Institute of Global Health, Heidelberg University, Heidelberg, Germany
- Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, United States of America
- Africa Health Research Institute, Somkhele, South Africa
| | - Justine Davies
- MRC/Wits Rural Public Health and Health Transitions Research Unit, School of Public Health, University of Witwatersrand, Johannesburg, South Africa
- Institute of Applied Health Research, University of Birmingham, Birmingham, United Kingdom
- Centre for Global Surgery, Department of Global Health, Stellenbosch University, Cape Town, South Africa
| | - Mohammed K. Ali
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, United States of America
| | | | - Emily W. Gower
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
- Department of Ophthalmology, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Jennifer Manne-Goehler
- Department of Economics and Centre for Modern Indian Studies, University of Goettingen, Göttingen, Germany
- Division of Infectious Diseases, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, United States of America
| |
Collapse
|
9
|
Kondal D, Awasthi A, Patel SA, Chang HH, Ali MK, Deepa M, Mohan S, Mohan V, Narayan KMV, Tandon N, Prabhakaran D. Evaluating bias with loss to follow-up in a community-based cohort: empirical investigation from the CARRS Study. J Epidemiol Community Health 2024; 78:220-227. [PMID: 38199804 DOI: 10.1136/jech-2023-220963] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Accepted: 12/28/2023] [Indexed: 01/12/2024]
Abstract
BACKGROUND Retention of participants is a challenge in community-based longitudinal cohort studies. We aim to evaluate the factors associated with loss to follow-up and estimate attrition bias. METHODS Data are from an ongoing cohort study, Center for cArdiometabolic Risk Reduction in South Asia (CARRS) in India (Delhi and Chennai). Multinomial logistic regression analysis was used to identify sociodemographic factors associated with partial (at least one follow-up) or no follow-up (loss to follow-up). We also examined the impact of participant attrition on the magnitude of observed associations using relative ORs (RORs) of hypertension and diabetes (prevalent cases) with baseline sociodemographic factors. RESULTS There were 12 270 CARRS cohort members enrolled in Chennai and Delhi at baseline in 2010, and subsequently six follow-ups were conducted between 2011 and 2022. The median follow-up time was 9.5 years (IQR: 9.3-9.8) and 1048 deaths occurred. Approximately 3.1% of participants had no follow-up after the baseline visit. Younger (relative risk ratio (RRR): 1.14; 1.04 to 1.24), unmarried participants (RRR: 1.75; 1.45 to 2.11) and those with low household assets (RRR: 1.63; 1.44 to 1.85) had higher odds of being lost to follow-up. The RORs of sociodemographic factors with diabetes and hypertension did not statistically differ between baseline and sixth follow-up, suggesting minimal potential for bias in inference at follow-up. CONCLUSION In this representative cohort of urban Indians, we found low attrition and minimal bias due to the loss to follow-up. Our cohort's inconsistent participation bias shows our retention strategies like open communication, providing health profiles, etc have potential benefits.
Collapse
Affiliation(s)
- Dimple Kondal
- Centre for Chronic Disease Control, New Delhi, India
| | - Ashish Awasthi
- Centre for Chronic Disease Control, New Delhi, India
- Centre for Chronic Conditions and Injuries, Public Health Foundation of India, New Delhi, India
| | - Shivani Anil Patel
- Emory Global Diabetes Research Center,Woodruff Health Sciences Center, Emory University, Atlanta, Georgia, USA
| | - Howard H Chang
- Emory Global Diabetes Research Center,Woodruff Health Sciences Center, Emory University, Atlanta, Georgia, USA
| | - Mohammed K Ali
- Emory Global Diabetes Research Center,Woodruff Health Sciences Center, Emory University, Atlanta, Georgia, USA
- Department of Family and Preventive Medicine, School of Medicine, Emory University, Atlanta, Georgia, USA
| | - Mohan Deepa
- Epidemiology, Madras Diabetes Research Foundation, Chennai, Tamil Nadu, India
| | - Sailesh Mohan
- Centre for Chronic Disease Control, New Delhi, India
- Centre for Chronic Conditions and Injuries, Public Health Foundation of India, New Delhi, India
| | - Viswanathan Mohan
- Diabetology, Madras Diabetes Research Foundation and Dr Mohan's Diabetes Specialities Centre, Chennai, Tamil Nadu, India
| | - K M Venkat Narayan
- Emory Global Diabetes Research Center,Woodruff Health Sciences Center, Emory University, Atlanta, Georgia, USA
| | - Nikhil Tandon
- Centre for Chronic Conditions and Injuries, Public Health Foundation of India, New Delhi, India
- All India Institute of Medical Sciences, New Delhi, India
| | - Dorairaj Prabhakaran
- Centre for Chronic Disease Control, New Delhi, India
- Centre for Chronic Conditions and Injuries, Public Health Foundation of India, New Delhi, India
| |
Collapse
|
10
|
Thirunavukkarasu S, Taylor R, Khunti K, Tapp RJ, Raben A, Zhu R, Kapoor N, Narayan KMV, Ali MK, Shaw JE. Low-calorie diets for people with isolated impaired fasting glucose. Commun Med (Lond) 2024; 4:35. [PMID: 38429400 PMCID: PMC10907622 DOI: 10.1038/s43856-024-00466-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2023] [Accepted: 02/22/2024] [Indexed: 03/03/2024] Open
Abstract
Thirunavukkarasu et al. discuss how standard lifestyle interventions prove ineffective in preventing type 2 diabetes in individuals with isolated impaired fasting glucose, a highly prevalent prediabetes phenotype globally. They propose low-calorie diets as a promising strategy for diabetes prevention in this high-risk population.
Collapse
Affiliation(s)
- Sathish Thirunavukkarasu
- Department of Family and Preventive Medicine, School of Medicine, Emory University, Atlanta, GA, USA.
| | - Roy Taylor
- Translational and Clinical Research Institute, Magnetic Resonance Centre, Campus for Ageing and Vitality, Newcastle University, Newcastle upon Tyne, UK
| | - Kamlesh Khunti
- Diabetes Research Centre, University of Leicester, Leicester, UK
| | - Robyn J Tapp
- Centre for Intelligent Health Care, Coventry University, Coventry, UK
| | - Anne Raben
- Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Copenhagen, Denmark
| | - Ruixin Zhu
- Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Copenhagen, Denmark
| | - Nitin Kapoor
- Department of Endocrinology, Diabetes and Metabolism, Christian Medical College, Vellore, India
| | - K M Venkat Narayan
- Emory Global Diabetes Research Center, Woodruff Health Sciences Center, Emory University, Atlanta, GA, USA
| | - Mohammed K Ali
- Department of Family and Preventive Medicine, School of Medicine, Emory University, Atlanta, GA, USA
| | - Jonathan E Shaw
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
| |
Collapse
|
11
|
Oviedo SA, McDonald B, Gander JC, Ali MK, Harding JL. Access to telehealth and changes in diabetes care patterns during the pandemic: evidence from a large integrated health system in the Southeast USA. BMJ Open Diabetes Res Care 2024; 12:e003882. [PMID: 38413175 PMCID: PMC10900384 DOI: 10.1136/bmjdrc-2023-003882] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Accepted: 02/08/2024] [Indexed: 02/29/2024] Open
Abstract
INTRODUCTION To examine the role of telehealth in diabetes care and management during versus pre-COVID-19 pandemic. RESEARCH DESIGN AND METHODS We included adults (≥18 years) with prevalent diabetes as of January 1, 2018, and continuously enrolled at Kaiser Permanente Georgia through December 31, 2021 (n=22,854). We defined pre (2018-2019) and during COVID-19 (2020-2021) periods. Logistic generalized estimating equations (GEEs) assessed the within-subject change in adherence to seven annual routine care processes (blood pressure (BP), hemoglobin A1C (HbA1c), cholesterol, creatinine, urine-albumin-creatinine ratio (UACR), eye and foot examinations) pre versus during COVID-19 among telehealth users (ie, more than one telehealth visit per year per period) and non-telehealth users. Linear GEE compared mean laboratory measurements pre versus during COVID-19 by telehealth use. RESULTS The proportion of telehealth users increased from 38.7% (2018-2019) to 91.5% (2020-2021). During (vs pre) the pandemic, adherence to all care processes declined in telehealth (range: 1.6% for foot examinations to 12.4% for BP) and non-telehealth users (range: 1.9% for foot examinations to 40.7% for BP). In telehealth users, average HbA1c (mean difference: 0.4% (95% CI 0.2% to 0.6%), systolic BP (1.62 mm Hg (1.44 to 1.81)), and creatinine (0.03 mg/dL (0.02 to 0.04)), worsened during (vs pre) COVID-19, while low density lipoprotein (LDL) cholesterol improved (-9.08 mg/dL (-9.77 to -8.39)). For UACR, odds of elevated risk of kidney disease increased by 48% (OR 1.48 (1.36-1.62)). Patterns were similar in non-telehealth users. CONCLUSIONS Telehealth use increased during the pandemic and alleviated some of the observed declines in routine diabetes care and management.
Collapse
Affiliation(s)
- Sofia A Oviedo
- Department of Surgery, Emory University School of Medicine, Atlanta, Georgia, USA
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
| | | | | | - Mohammed K Ali
- Family and Preventive Medicine, Hubert Department of Global Health, Emory University, Atlanta, Georgia, USA
| | - Jessica L Harding
- Department of Surgery, Emory University School of Medicine, Atlanta, Georgia, USA
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
| |
Collapse
|
12
|
Hassan S, Liu S, Johnson LCM, Patel SA, Emmert-Fees KMF, Suvada K, Tandon N, Sridhar GR, Aravind S, Poongothai S, Anjana RM, Mohan V, Chwastiak L, Ali MK. Association of collaborative care intervention features with depression and metabolic outcomes in the INDEPENDENT study: A mixed methods study. Prim Care Diabetes 2024:S1751-9918(24)00035-4. [PMID: 38360505 DOI: 10.1016/j.pcd.2024.02.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Revised: 02/02/2024] [Accepted: 02/03/2024] [Indexed: 02/17/2024]
Abstract
AIMS The INtegrating DEPrEssioN and Diabetes treatmENT (INDEPENDENT) trial tested a collaborative care model including electronic clinical decision support (CDS) for treating diabetes and depression in India. We aimed to assess which features of this clinically and cost-effective intervention were associated with improvements in diabetes and depression measures. METHODS Post-hoc analysis of the INDEPENDENT trial data (189 intervention participants) was conducted to determine each intervention feature's effect: 1. Collaborative case reviews between expert psychiatrists and the care team; 2. Patient care-coordinator contacts; and 3. Clinicians' CDS prompt modifications. Primary outcome was baseline-to-12-months improvements in diabetes control, blood pressure, cholesterol, and depression. Implementer interviews revealed barriers and facilitators of intervention success. Joint displays integrated mixed methods' results. RESULTS High baseline HbA1c≥ 74.9 mmol/mol (9%) was associated with 5.72 fewer care-coordinator contacts than those with better baseline HbA1c (76.8 mmol/mol, 9.18%, p < 0.001). Prompt modification proportions varied from 38.3% (diabetes) to 1.3% (LDL). Interviews found that providers' and participants' visit frequencies were preference dependent. Qualitative data elucidated patient-level factors that influenced number of clinical contacts and prompt modifications explaining their lack of association with clinical outcomes. CONCLUSION Our mixed methods approach underlines the importance of the complementarity of different intervention features. Qualitative findings further illuminate reasons for variations in fidelity from the core model.
Collapse
Affiliation(s)
- Saria Hassan
- Hubert Department of Global Health, Emory University, Atlanta, GA, USA; Emory Global Diabetes Research Center, Woodruff Health Sciences Center and Emory University, Atlanta, GA, USA; Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA.
| | - Star Liu
- Hubert Department of Global Health, Emory University, Atlanta, GA, USA; Department of Biomedical Informatics and Data Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Leslie C M Johnson
- Department of Family and Preventive Medicine, School of Medicine, Emory University, Atlanta, GA, USA; Emory Global Diabetes Research Center, Woodruff Health Sciences Center and Emory University, Atlanta, GA, USA
| | - Shivani A Patel
- Hubert Department of Global Health, Emory University, Atlanta, GA, USA; Emory Global Diabetes Research Center, Woodruff Health Sciences Center and Emory University, Atlanta, GA, USA
| | - Karl M F Emmert-Fees
- Hubert Department of Global Health, Emory University, Atlanta, GA, USA; Public Health and Prevention, Technical University of Munich, Munich, Germany
| | - Kara Suvada
- Department of Epidemiology, Emory University, Atlanta, GA, USA
| | - Nikhil Tandon
- Department of Endocrinology and Metabolism, All India Institute of Medical Sciences New Delhi, India
| | | | - Sosale Aravind
- Diabetes Care and Research Center, Diacon Hospital, Bengaluru, India
| | - Subramani Poongothai
- Department of Diabetology, Madras Diabetes Research Foundation and Dr. Mohan's Diabetes Specialties Centre, Chennai, India
| | - Ranjit Mohan Anjana
- Department of Diabetology, Madras Diabetes Research Foundation and Dr. Mohan's Diabetes Specialties Centre, Chennai, India
| | - Viswanathan Mohan
- Department of Diabetology, Madras Diabetes Research Foundation and Dr. Mohan's Diabetes Specialties Centre, Chennai, India
| | - Lydia Chwastiak
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, USA
| | - Mohammed K Ali
- Hubert Department of Global Health, Emory University, Atlanta, GA, USA; Department of Family and Preventive Medicine, School of Medicine, Emory University, Atlanta, GA, USA; Emory Global Diabetes Research Center, Woodruff Health Sciences Center and Emory University, Atlanta, GA, USA
| |
Collapse
|
13
|
Varghese JS, Guo Y, Ali MK, Troy Donahoo W, Chakkalakal RJ. Body mass index changes and their association with SARS-CoV-2 infection: a real-world analysis. medRxiv 2024:2024.02.12.24302697. [PMID: 38405934 PMCID: PMC10888974 DOI: 10.1101/2024.02.12.24302697] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/27/2024]
Abstract
Objective To study body mass index (BMI) changes among individuals aged 18-99 years with and without SARS-CoV-2 infection. Subjects/Methods Using real-world data from the OneFlorida+ Clinical Research Network of the National Patient-Centered Clinical Research Network, we compared changes over time in BMI in an Exposed cohort (positive SARS-CoV-2 test between March 2020 - January 2022), to a contemporary Unexposed cohort (negative SARS-CoV-2 tests), and an age/sex-matched Historical control cohort (March 2018 - January 2020). Body mass index (kg/m2) was retrieved from objective measures of height and weight in electronic health records. We used target trial approaches to estimate BMI at baseline and change per 100 days of follow-up for Unexposed and Historical cohorts relative to the Exposed cohort by categories of sex, race-ethnicity, age, and hospitalization status. Results The study sample consisted of 44,436 (Exposed cohort), 164,118 (Unexposed cohort), and 41,189 (Historical cohort). Cumulatively, 62% were women, 21.5% Non-Hispanic Black, 21.4% Hispanic and 5.6% Non-Hispanic Other. Patients had an average age of 51.9 years (SD: 18.9). At baseline, relative to the Exposed cohort (mean BMI: 29.3 kg/m2 [95%CI: 29.0, 29.7]), the Unexposed (-0.07 kg/m2 [95%CI; -0.12, -0.01]) and Historical controls (-0.27 kg/m2 [95%CI; -0.34, -0.20]) had lower BMI. Relative to no change in the Exposed over 100 days (0.00 kg/m2 [95%CI; -0.03,0.03]), the BMI of those Unexposed decreased (-0.04 kg/m2 [95%CI; -0.06, -0.01]) while the Historical cohort's BMI increased (+0.03 kg/m2 [95%CI;0.00,0.06]). BMI changes were consistent between Exposed and Unexposed cohorts for most population groups, except at start of follow-up period among Males and those 65 years or older, and in changes over 100 days among Males and Hispanics. Conclusions In a diverse real-world cohort of adults, mean BMI of those with and without SARS-CoV2 infection varied in their trajectories. The mechanisms and implications of weight retention following SARS-CoV-2 infection remain unclear.
Collapse
Affiliation(s)
- Jithin Sam Varghese
- Emory Global Diabetes Research Center of Woodruff Health Sciences Center and Emory University, Atlanta, USA
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, USA
| | - Yi Guo
- Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, Florida, USA
| | - Mohammed K. Ali
- Emory Global Diabetes Research Center of Woodruff Health Sciences Center and Emory University, Atlanta, USA
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, USA
- Department of Family and Preventive Medicine, School of Medicine, Emory University, Atlanta, USA
| | - W. Troy Donahoo
- Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, College of Medicine University of Florida Gainesville FL USA
| | - Rosette J. Chakkalakal
- Emory Global Diabetes Research Center of Woodruff Health Sciences Center and Emory University, Atlanta, USA
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, USA
- Department of Medicine, School of Medicine, Emory University, Atlanta, USA
| |
Collapse
|
14
|
Johnson LCM, Khan SH, Ali MK, Galaviz KI, Waseem F, Ordóñez CE, Siedner MJ, Nyatela A, Marconi VC, Lalla-Edward ST. Understanding Barriers and Facilitators to Integrated HIV and Hypertension Care in South Africa. Res Sq 2024:rs.3.rs-3885096. [PMID: 38352385 PMCID: PMC10862953 DOI: 10.21203/rs.3.rs-3885096/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/16/2024]
Abstract
Background The burden of hypertension among people with HIV is high, particularly in low-and middle-income countries, yet gaps in hypertension screening and care in these settings persist. The objective of this study was to identify facilitators of and barriers to hypertension screening, treatment, and management among people with HIV seeking treatment in primary care clinics in Johannesburg, South Africa. Methods Using a cross-sectional study design, data were collected via interviews (n = 53) with people with HIV and hypertension and clinic managers and focus group discussions (n = 9) with clinic staff. A qualitative framework analysis approach guided by the Theoretical Domains Framework was used to identify and compare determinants of hypertension care across different stakeholder groups. Results Data from clinic staff and managers generated three themes characterizing facilitators of and barriers to the adoption and implementation of hypertension screening and treatment: 1) clinics have limited structural and operational capacity to support the implementation of integrated care models, 2) education and training on chronic care guidelines is inconsistent and often lacking across clinics, and 3) clinicians have the goal of enhancing chronic care within their clinics but first need to advocate for health system characteristics that will sustainably support integrated care. Patient data generated three themes characterizing existing facilitators of and barriers to clinic attendance and chronic disease self-management: 1) the threat of hypertension-related morbidity and mortality as a motivator for lifestyle change, 2) the emotional toll of clinic's logistical, staff, and resource challenges, and 3) hypertension self-management as a patchwork of informational and support sources. The main barriers to hypertension screening, treatment, and management were related to environmental resources and context (i.e., lack of enabling resources and siloed flow of clinic operations) the patients' knowledge and emotions (i.e., lack of awareness about hypertension risk, fear, and frustration). Clinical actors and patients differed in perceived need to prioritize HIV versus hypertension care. Conclusions The convergence of multi-stakeholder data regarding barriers to hypertension screening, treatment, and management highlight key areas for improvement, where tailored implementation strategies may address challenges recognized by each stakeholder group.
Collapse
|
15
|
Teufel F, Bulstra CA, Davies JI, Ali MK. Enhancing global access to diabetes medicines: policy lessons from the HIV response. Lancet Diabetes Endocrinol 2024; 12:88-90. [PMID: 38128554 DOI: 10.1016/s2213-8587(23)00359-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Accepted: 11/21/2023] [Indexed: 12/23/2023]
Affiliation(s)
- Felix Teufel
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA; Emory Global Diabetes Research Center of the Woodruff Health Sciences Center and Emory University, Atlanta, GA, USA.
| | - Caroline A Bulstra
- Health Systems Innovation Lab, Department of Global Health and Population, Harvard T H Chan School of Public Health, Harvard University, Boston, MA, USA; Heidelberg Institute of Global Health, Heidelberg University Medical Center, Heidelberg, Germany
| | - Justine I 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
| | - Mohammed K Ali
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA; Emory Global Diabetes Research Center of the Woodruff Health Sciences Center and Emory University, Atlanta, GA, USA; Department of Family and Preventive Medicine, School of Medicine, Emory University, Atlanta, GA, USA
| |
Collapse
|
16
|
Turbow SD, Culler SD, Vaughan EC, Rask KJ, Perkins MM, Clevenger CK, Ali MK. Impact of electronic information exchange on repeat imaging during 30-day readmissions among Medicare beneficiaries. Am J Manag Care 2024; 30:66-72. [PMID: 38381541 PMCID: PMC10936588 DOI: 10.37765/ajmc.2024.89493] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/23/2024]
Abstract
OBJECTIVES We examined the association between electronic health information sharing and repeat imaging in readmissions among older adults with and without Alzheimer disease (AD). STUDY DESIGN Cohort study using national Medicare data. METHODS Among Medicare beneficiaries with 30-day readmissions in 2018, we examined repeat imaging on the same body system during the readmission. This was evaluated between fragmented and nonfragmented (same-hospital) readmissions and across categories of electronic information sharing via health information exchanges (HIEs) in fragmented readmissions: admission and readmission hospitals share the same HIE, admission and readmission hospitals participate in different HIEs, one or both do not participate in HIE, or HIE data missing. This relationship was evaluated using unadjusted and adjusted logistic regression. RESULTS Overall, 14.3% of beneficiaries experienced repeat imaging during their readmission. Compared with nonfragmented readmissions, fragmented readmissions were associated with 5% higher odds of repeat imaging on the same body system in older adults without AD. This was not mitigated by the presence of electronic information sharing: Fragmented readmissions to hospitals that shared an HIE had 6% higher odds of repeat imaging (adjusted OR, 1.06; 95% CI, 1.00-1.13). There was no difference seen in the odds of repeat imaging for older adults with AD. CONCLUSIONS Despite substantial investment, HIEs as currently deployed and used are not associated with decreased odds of repeat imaging in readmissions.
Collapse
Affiliation(s)
- Sara D Turbow
- Emory University School of Medicine, 49 Jesse Hill Jr Dr SE, Atlanta, GA 30303.
| | | | | | | | | | | | | |
Collapse
|
17
|
Niu S, Alkhuzam KA, Guan D, Jiao T, Shi L, Fonseca V, Laiteerapong N, Ali MK, Schatz DA, Guo J, Shao H. 5-Year simulation of diabetes-related complications in people treated with tirzepatide or semaglutide versus insulin glargine. Diabetes Obes Metab 2024; 26:463-472. [PMID: 37867175 DOI: 10.1111/dom.15332] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Revised: 09/25/2023] [Accepted: 10/02/2023] [Indexed: 10/24/2023]
Abstract
AIM This study compared the 5-year incidence rate of macrovascular and microvascular complications for tirzepatide, semaglutide and insulin glargine in individuals with type 2 diabetes, using the Building, Relating, Assessing, and Validating Outcomes (BRAVO) diabetes simulation model. RESEARCH DESIGN AND METHODS This study was a 5-year SURPASS-2 trial extrapolation, with an insulin glargine arm added as an additional comparator. The 1-year treatment effects of tirzepatide (5, 10 or 15 mg), semaglutide (1 mg) and insulin glargine on glycated haemoglobin, systolic blood pressure, low-density lipoprotein and body weights were obtained from the SUSTAIN-4 and SURPASS-2 trials. We used the BRAVO model to predict 5-year complications for each study arm under two scenarios: the 1-year treatment effects persisted (optimistic) or diminished to none in 5 years (conservative). RESULTS When compared with insulin glargine, we projected a 5-year risk reduction in cardiovascular adverse events [rate ratio (RR) 0.64, 95% confidence interval (CI) 0.61-0.67] and microvascular composite (RR 0.67, 95% CI 0.64-0.70) with 15 mg tirzepatide, and 5-year risk reduction in cardiovascular adverse events (RR 0.75, 95% CI 0.72-0.79) and microvascular composite (RR 0.79, 95% CI 0.76-0.82) with semaglutide (1 mg) under an optimistic scenario. Lower doses of tirzepatide also had similar, albeit smaller benefits. Treatment effects for tirzepatide and semaglutide were smaller but still significantly higher than insulin glargine under a conservative scenario. The 5-year risk reduction in diabetes-related complication events and mortality for the 15 mg tirzepatide compared with insulin glargine ranged from 49% to 10% under an optimistic scenario, which was reduced by 17%-33% when a conservative scenario was assumed. CONCLUSION With the use of the BRAVO diabetes model, tirzepatide and semaglutide exhibited potential to reduce the risk of macrovascular and microvascular complications among individuals with type 2 diabetes, compared with insulin glargine in a 5-year window. Based on the current modelling assumptions, tirzepatide (15 mg) may potentially outperform semaglutide (1 mg). While the BRAVO model offered insights, the long-term cardiovascular benefit of tirzepatide should be further validated in a prospective clinical trial.
Collapse
Affiliation(s)
- Shu Niu
- Department of Pharmaceutical Outcomes and Policy, College of Pharmacy, University of Florida, Gainesville, Florida, USA
| | - Khalid A Alkhuzam
- Department of Pharmaceutical Outcomes and Policy, College of Pharmacy, University of Florida, Gainesville, Florida, USA
| | - Dawei Guan
- Department of Pharmaceutical Outcomes and Policy, College of Pharmacy, University of Florida, Gainesville, Florida, USA
| | - Tianze Jiao
- Department of Pharmaceutical Outcomes and Policy, College of Pharmacy, University of Florida, Gainesville, Florida, USA
- Center for Drug Evaluation and Safety, College of Pharmacy, University of Florida, Gainesville, Florida, USA
| | - Lizheng Shi
- Department of Health Policy and Management, School of Public Health and Tropical Medicine, Tulane University, New Orleans, Louisiana, USA
| | - Vivian Fonseca
- Section of Endocrinology, Tulane University Health Sciences Center, New Orleans, Louisiana, USA
| | - Neda Laiteerapong
- Biological Sciences Division, Department of Medicine, University of Chicago, Chicago, Illinois, USA
| | - Mohammed K Ali
- Hubert Department of Global Health, Emory University, Atlanta, Georgia, USA
- Department of Family and Preventive Medicine, Emory University, Atlanta, Georgia, USA
| | - Desmond A Schatz
- Department of Pediatrics, College of Medicine, University of Florida, Gainesville, Florida, USA
| | - Jingchuan Guo
- Department of Pharmaceutical Outcomes and Policy, College of Pharmacy, University of Florida, Gainesville, Florida, USA
- Center for Drug Evaluation and Safety, College of Pharmacy, University of Florida, Gainesville, Florida, USA
| | - Hui Shao
- Department of Pharmaceutical Outcomes and Policy, College of Pharmacy, University of Florida, Gainesville, Florida, USA
- Center for Drug Evaluation and Safety, College of Pharmacy, University of Florida, Gainesville, Florida, USA
- Hubert Department of Global Health, Emory University, Atlanta, Georgia, USA
- Department of Family and Preventive Medicine, Emory University, Atlanta, Georgia, USA
| |
Collapse
|
18
|
Chandiwana NC, Siedner MJ, Marconi VC, Hill A, Ali MK, Batterham RL, Venter WDF. Weight Gain After HIV Therapy Initiation: Pathophysiology and Implications. J Clin Endocrinol Metab 2024; 109:e478-e487. [PMID: 37437159 PMCID: PMC10795932 DOI: 10.1210/clinem/dgad411] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/25/2022] [Revised: 06/14/2023] [Accepted: 07/10/2023] [Indexed: 07/14/2023]
Abstract
Rapid advances in the potency, safety, and availability of modern HIV antiretroviral therapy (ART) have yielded a near-normal life expectancy for most people living with HIV (PLWH). Ironically, considering the history of HIV/AIDS (initially called "slim disease" because of associated weight loss), the latest dilemma faced by many people starting HIV therapy is weight gain and obesity, particularly Black people, women, and those who commenced treatment with advanced immunodeficiency. We review the pathophysiology and implications of weight gain among PLWH on ART and discuss why this phenomenon was recognized only recently, despite the availability of effective therapy for nearly 30 years. We comprehensively explore the theories of the causes, from initial speculation that weight gain was simply a return to health for people recovering from wasting to comparative effects of newer regimens vs prior toxic agents, to direct effects of agents on mitochondrial function. We then discuss the implications of weight gain on modern ART, particularly concomitant effects on lipids, glucose metabolism, and inflammatory markers. Finally, we discuss intervention options for PLWH and obesity, from the limitations of switching ART regimens or specific agents within regimens, weight-gain mitigation strategies, and potential hope in access to emerging antiobesity agents, which are yet to be evaluated in this population.
Collapse
Affiliation(s)
- Nomathemba C Chandiwana
- Ezintsha, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg 2193, South Africa
| | - Mark J Siedner
- Medical Practice Evaluation Center, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Vincent C Marconi
- Division of Infectious Diseases and Department of Global Health, Emory University School of Medicine and Rollins School of Public Health, Atlanta, GA 4223, USA
| | - Andrew Hill
- Department of Pharmacology and Therapeutics, University of Liverpool, Liverpool L69 7BE, UK
| | - Mohammed K Ali
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA 4223, USA
- Department of Family and Preventive Medicine, School of Medicine, Emory University, Atlanta, GA 30322, USA
| | | | - Willem Daniel Francois Venter
- Ezintsha, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg 2193, South Africa
- Department of Public Health Medicine, Faculty of Health Sciences, School of Health Systems and Public Health, University of Pretoria, Pretoria 0028, South Africa
| |
Collapse
|
19
|
Vashist K, Frediani JK, Weber MB, Ali MK, Narayan KMV, Patel SA. Changes in Diabetes Care and Management Practices during the COVID-19 Pandemic. Res Sq 2024:rs.3.rs-3849240. [PMID: 38313263 PMCID: PMC10836114 DOI: 10.21203/rs.3.rs-3849240/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/06/2024]
Abstract
Background Evidence suggests diabetes management was negatively impacted early in the pandemic. However, the impact of the pandemic on key healthcare services for diabetes control and diabetes self-management practices is less known. We examined changes in diabetes care and management practices before and during the COVID-19 pandemic. Methods Population-based data regarding 4 diabetes-related healthcare engagement and 4 self-management indicators were obtained from adults with diabetes surveyed in 19 US States and Washington DC through the Behavioral Risk Factor Surveillance System. Using logistic regression, we estimated changes in the prevalence of each indicator, overall and by sociodemographic subgroups, before (2019; n = 15,307) and during (2021; n = 13,994) the COVID-19 pandemic. Results Between 2019 and 2021, the prevalence of biannual HbA1c tests reduced by 2.6 percentage points (pp, 95% CI :-4.8, -0.4), from 75.4-73.1%, and prevalence of annual eye exams fell by 4.0 pp (-6.2, -2.8), from 72.2-68.7%. The composite indicator of engagement with healthcare for diabetes control fell by 3.5 pp (-5.9, -1.1), from 44.9-41.9%. Reductions in engagement with healthcare were largely seen across sex, age, education, employment status, marital status, insurance status, and urbanicity; and were more pronounced among those aged 18-34 and the uninsured. Reductions in engagement with healthcare were seen in several states, with Delaware and Washington DC reporting the largest decrease. Of self-management behaviors, we only observed change in avoidance of smoking, an increase of 2.0 pp (0.4, 3.6) from 84.7-87.1%. Conclusions The pandemic had mixed impacts on diabetes care and self-management. The findings suggest a deterioration of the uptake of evidence-based, preventive health services requiring laboratory services and clinical examination for diabetes control during the pandemic. On the other hand, smoking rates decreased, suggesting potential positive impacts of the pandemic on health behaviors in people with diabetes.
Collapse
|
20
|
Varghese JS, Lu P, Choi D, Kobayashi LC, Ali MK, Patel SA, Li C. Spousal Concordance of Hypertension Among Middle-Aged and Older Heterosexual Couples Around the World: Evidence From Studies of Aging in the United States, England, China, and India. J Am Heart Assoc 2023; 12:e030765. [PMID: 38054385 PMCID: PMC10863781 DOI: 10.1161/jaha.123.030765] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Accepted: 08/24/2023] [Indexed: 12/07/2023]
Abstract
BACKGROUND Health concordance within couples presents a promising opportunity to design interventions for disease management, including hypertension. We compared the concordance of prevalent hypertension within middle-aged and older heterosexual couples in the United States, England, China, and India. METHODS AND RESULTS Cross-sectional dyadic data on heterosexual couples were used from contemporaneous waves of the HRS (US Health and Retirement Study, 2016/17, n=3989 couples), ELSA (English Longitudinal Study on Aging, 2016/17, n=1086), CHARLS (China Health and Retirement Longitudinal Study, 2015/16, n=6514), and LASI (Longitudinal Aging Study in India, 2017/19, n=22 389). Concordant hypertension was defined as both husband and wife in a couple having hypertension. The prevalence of concordant hypertension within couples was 37.9% (95% CI, 35.8-40.0) in the United States, 47.1% (95% CI, 43.2-50.9) in England, 20.8% (95% CI, 19.6-21.9) in China, and 19.8% (95% CI, 19.0-20.5) in India. Compared with wives married to husbands without hypertension, wives married to husbands with hypertension were more likely to have hypertension in the United States (prevalence ratio, 1.09 [95% CI, 1.01- 1.17), England (prevalence ratio, 1.09, 95% CI, 0.98-1.21), China (prevalence ratio, 1.26 [95% CI, 1.17-1.35), and India (prevalence ratio, 1.19 [95% CI, 1.15-1.24]). Within each country, similar associations were observed for husbands. Across countries, associations in the United States and England were similar, whereas they were slightly larger in China and India. CONCLUSIONS Concordance of hypertension within heterosexual couples was consistently observed across these 4 socially and economically diverse countries. Couple-centered interventions may be an efficient strategy to prevent and manage hypertension in these countries.
Collapse
Affiliation(s)
- Jithin Sam Varghese
- Hubert Department of Global Health, Rollins School of Public HealthEmory UniversityAtlantaGA
- Emory Global Diabetes Research Center of Emory University and Woodruff Health Sciences CenterAtlantaGA
| | - Peiyi Lu
- Department of Epidemiology, Mailman School of Public HealthColumbia UniversityNew YorkNY
| | - Daesung Choi
- Hubert Department of Global Health, Rollins School of Public HealthEmory UniversityAtlantaGA
- Emory Global Diabetes Research Center of Emory University and Woodruff Health Sciences CenterAtlantaGA
| | - Lindsay C. Kobayashi
- Center for Social Epidemiology and Population Health, Department of Epidemiology, School of Public HealthUniversity of MichiganAnn ArborMI
| | - Mohammed K. Ali
- Hubert Department of Global Health, Rollins School of Public HealthEmory UniversityAtlantaGA
- Emory Global Diabetes Research Center of Emory University and Woodruff Health Sciences CenterAtlantaGA
- Department of Family and Preventive Medicine, School of MedicineEmory UniversityAtlantaGA
| | - Shivani A. Patel
- Hubert Department of Global Health, Rollins School of Public HealthEmory UniversityAtlantaGA
- Emory Global Diabetes Research Center of Emory University and Woodruff Health Sciences CenterAtlantaGA
| | - Chihua Li
- Center for Social Epidemiology and Population Health, Department of Epidemiology, School of Public HealthUniversity of MichiganAnn ArborMI
- Survey Research CenterUniversity of MichiganAnn ArborMI
- Department of EpidemiologySchool of Public Health, Johns Hopkins Bloomberg School of Public HealthBaltimoreMD
| |
Collapse
|
21
|
Manne-Goehler J, Ali MK, Flood D, Marconi VC, Venter WDF, Siedner MJ. From Evidence to Effectiveness: Implications of the Randomized Trial to Prevent Vascular Events in HIV Study for People With Human Immunodeficiency Virus in Low- and Middle-Income Settings. Clin Infect Dis 2023:ciad702. [PMID: 38066673 DOI: 10.1093/cid/ciad702] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2023] [Indexed: 04/26/2024] Open
Abstract
The Randomized Trial to Prevent Vascular Events in HIV (REPRIEVE) study found a 35% reduction in major adverse cardiovascular events for people with human immunodeficiency virus who received daily pitavastatin. However, how this evidence will change practice is far from certain. Here, we outline evidence gaps and political and healthcare delivery challenges that will need to be addressed for REPRIEVE to offer public health benefits in low- and middle-income countries.
Collapse
Affiliation(s)
- Jennifer Manne-Goehler
- Division of Infectious Diseases, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Medical Practice Evaluation Center, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Mohammed K Ali
- Emory Global Diabetes Research Center of Woodruff Health Sciences Center and Emory University, Atlanta, Georgia, USA
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
- Department of Family and Preventive Medicine, School of Medicine, Emory University, Georgia, USA
| | - David Flood
- Department of Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Vincent C Marconi
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
- Division of Infectious Diseases, Emory University School of Medicine, Emory University, Atlanta, Georgia, USA
| | - Willem D F Venter
- Wits Ezintsha, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Mark J Siedner
- Medical Practice Evaluation Center, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Division of Infectious Diseases, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Clinical Research Department, Africa Health Research Institute, KwaZulu-Natal, South Africa
| |
Collapse
|
22
|
Deressa HD, Abuye H, Adinew A, Ali MK, Kebede T, Habte BM. Access to Essential Medicines for Diabetes Care: Availability, Price, and Affordability in Central Ethiopia. Res Sq 2023:rs.3.rs-3694051. [PMID: 38106116 PMCID: PMC10723550 DOI: 10.21203/rs.3.rs-3694051/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2023]
Abstract
Background Diabetes is a major global public health burden. Effective diabetes management is highly dependent on the availability of affordable and quality-assured essential medicines (EMs) which is a challenge especially in low-and-middle-income countries such as Ethiopia. Methods A cross-sectional study was conducted in 60 selected public and private medicine outlets in central Ethiopia from January to February 2022 using the World Health Organization/Health Action International (WHO/HAI) standard tool to assess access to EMs. We included EMs that lower glucose, blood pressure, and cholesterol as these are all critical for diabetes care. Availability was determined as the percentage of surveyed outlets per sector in which the selected lowest-priced generic (LPG) and originator brand (OB) products were found. The number of days' wages required by the lowest paid government worker (LPGW) to purchase a one month's supply of medicines was used to measure affordability while median price was determined to assess patient price and price markup difference between public procurement and retail prices. Results Across all facilities, availability of LPG and OB medicines were 34.6% and 2.5% respectively. Only two glucose-lowering (glibenclamide 5mg, metformin 500mg) and two blood pressure-lowering medications (nifedipine 20mg and hydrochlorothiazide 25mg) surpassed the WHO's target of 80% availability. The median price based on the least measurable unit of LPG diabetes EMs was 1.6 ETB (0.033 USD) in public and 4.65 ETB (0.095 USD) in private outlets, respectively. The cost of one month's supply of diabetes EMs was equivalent to 0.3 to 3.1 days wages in public and 1.0 to 11.0 days wages in private outlets, respectively, for a typical LPGW. Thus, 58.8% and 84.6% of LPG diabetes EMs included in the price analysis were unaffordable in private and public outlets, respectively. Conclusion There are big gaps in availability and affordability of EMs used for diabetes in central Ethiopia. Relevant stakeholders should work to improve access to EMs.
Collapse
Affiliation(s)
- Hachalu Dugasa Deressa
- School of Pharmacy, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia
| | - Habtamu Abuye
- Department of Pharmacy, College of Medicine and Health Sciences, Wachemo University, Hossaena, Ethiopia
| | - Alemayehu Adinew
- School of Pharmacy, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia
| | - Mohammed K Ali
- Department of Family and Preventive Medicine, School of Medicine, Emory University, Atlanta, GA
| | - Tedla Kebede
- School of Medicine, College of Health Sciences, Addis Ababa University
| | - Bruck Messele Habte
- School of Pharmacy, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia
| |
Collapse
|
23
|
Sudharsanan N, Pillai VS, Favaretti C, Jose J, Jose S, McConnell M, Ali MK. Clinician Adherence to Hypertension Screening and Care Guidelines. JAMA Netw Open 2023; 6:e2347164. [PMID: 38085546 PMCID: PMC10716733 DOI: 10.1001/jamanetworkopen.2023.47164] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Accepted: 10/21/2023] [Indexed: 12/18/2023] Open
Abstract
This quality improvement study assesses opportunistic blood pressure measurement, communication of blood pressure reading to adult patients, and recommendation for a follow-up visit at health care facilities in 2 major cities in India.
Collapse
Affiliation(s)
- Nikkil Sudharsanan
- Professorship of Behavioral Science for Disease Prevention and Health Care, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany
- Heidelberg Institute of Global Health, Heidelberg University, Heidelberg, Germany
| | - Vasanthi Subramonia Pillai
- Professorship of Behavioral Science for Disease Prevention and Health Care, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany
| | - Caterina Favaretti
- Professorship of Behavioral Science for Disease Prevention and Health Care, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany
| | - Jithin Jose
- LEAD at Krea University, Chennai, Tamil Nadu, India
| | - Sandra Jose
- LEAD at Krea University, Chennai, Tamil Nadu, India
| | - Margaret McConnell
- Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Harvard University, Cambridge, Massachusetts
| | - Mohammed K. Ali
- Emory Global Diabetes Research Center, Woodruff Health Sciences Center, Emory University, Atlanta, Georgia
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia
- Department of Family and Preventive Medicine, School of Medicine, Emory University, Atlanta, Georgia
| |
Collapse
|
24
|
Galindo RJ, Uppal T, McCoy RG, Umpierrez GE, Ali MK. Use and continuity of weight-modifying medications among adults with diabetes and overweight/obesity: US population study. Obesity (Silver Spring) 2023; 31:2924-2935. [PMID: 37919239 PMCID: PMC10840906 DOI: 10.1002/oby.23869] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Revised: 06/15/2023] [Accepted: 06/16/2023] [Indexed: 11/04/2023]
Abstract
OBJECTIVE Trends in use and continuity of use of diabetes-specific and non-diabetes weight-reducing (WR), weight-inducing (WI), and weight-neutral (WN) medications were examined among US adults with diabetes and overweight/obesity. METHODS Serial cross-sectional data from Medical Expenditure Panel Surveys (2010-2019) for adults (≥18 years) with diabetes and BMI ≥27 kg/m2 (≥25 kg/m2 for Asians) were analyzed. RESULTS Among 7402 US adults with diabetes and overweight/obesity (mean age 60.0 years [SD 13], 50% female), 64.9% of participants used any WI medications, decreasing from 68.9% (95% CI: 64.3%-73.5%) in 2010 to 58.6% (95% CI: 54.7%-62.5%) in 2019. It was estimated that 13.5% used WR medications, increasing 3.31-fold, from 6.4% (95% CI: 4.1%-8.7%) to 21.2% (95% CI: 18.0%-24.4%) and that 73.1% used WN medications, ranging from 70.5% (95% CI: 66.5-74.6) to 75.0% (95% CI: 71.7%-78.4%). Among adults using diabetes-specific WI (53.7%), WR (7.1%), and WN (62.4%) medications during the first year, 7.3%, 16.4%, and 9.0% discontinued it in the second year, respectively. CONCLUSIONS Over 2010-2019, 64.9% of adults with diabetes and overweight/obesity were treated with WI medications, 13.5% with WR medications, and 73.1% with WN medications. Discontinuation of WR medications was nearly twice that of WI medications.
Collapse
Affiliation(s)
- Rodolfo J. Galindo
- Emory University School of Medicine, Division of Endocrinology, Grady Memorial Hospital, 69 Jesse Hill Jr. Dr., Atlanta, GA, 30303
| | - Teg Uppal
- Emory University Rollins School of Public Health, Hubert Department of Global Health, 1518 Clifton Road NE, Atlanta, GA 30322
| | - Rozalina G. McCoy
- Mayo Clinic Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, 200 First Street SW, Rochester, MN 55905
- Division of Community Internal Medicine, Geriatrics and Palliative Care, Department of Medicine, Mayo Clinic, 200 First Street SW, Rochester, MN 55905
| | - Guillermo E. Umpierrez
- Emory University School of Medicine, Division of Endocrinology, Grady Memorial Hospital, 69 Jesse Hill Jr. Dr., Atlanta, GA, 30303
| | - Mohammed K. Ali
- Emory University Rollins School of Public Health, Hubert Department of Global Health, 1518 Clifton Road NE, Atlanta, GA 30322
- Emory University School of Medicine, Department of Family and Preventive Medicine, 1518 Clifton Road NE, Atlanta, GA 30322
| |
Collapse
|
25
|
Shah MK, Gandrakota N, Bullard KM, Siegel KR, Ali MK. Trends in health behaviors of US adults with and without Diabetes: 2007-2018. Diabetes Res Clin Pract 2023; 206:110990. [PMID: 37926116 PMCID: PMC10842838 DOI: 10.1016/j.diabres.2023.110990] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Revised: 10/16/2023] [Accepted: 11/02/2023] [Indexed: 11/07/2023]
Abstract
AIMS Understanding health behaviors of people with diabetes can inform strategies to reduce diabetes-related burdens. METHODS We used serial cross-sectional National Health and Nutrition Examination Surveys over 2007-2018 to characterize self-reported health behaviors among non-pregnant adults, with and without self-reported diabetes. We estimated weighted proportions meeting recommended health behaviors overall and by sociodemographic and glycemic levels. RESULTS During 2007-2010, proportions of adults with diabetes meeting recommendations were: 61.9 % for added sugar consumption (<10 % of total calories), 17.2 % for physical activity, 68.2 % for weight management, 14.4 % avoided alcohol, 57.5 % avoided tobacco, 34.1 % got adequate sleep, and 97.5 % saw a healthcare provider (compared with 19.2 %, 33.6 %, 68.8 %, 8.5 %, 44.2 %, 33.0 %, and 82.6 % respectively, among those without diabetes). During 2015-2018, adjusted analyses showed more adults with diabetes met sleep (+16.7 percentage-points[pp]; 95 % CI: 10.6,22.8) and physical activity goals (+8.3 pp; 95 % CI: 3.8,12.8), and fewer met added sugar recommendations (-8.8 pp; 95 % CI -14.7, -2.9). Meeting added sugar, physical activity, and weight management varied by age, education, and glycemic level, but not race and ethnicity. CONCLUSIONS During 2007-2018, there was some improvement in health behaviors. Improving self-management may require targeted interventions for different segments, like age groups or glycemic levels, among those with diabetes.
Collapse
Affiliation(s)
- Megha K Shah
- Division of Diabetes Translation, Centers for Disease Control and Prevention, United States.
| | - Nikhila Gandrakota
- Department of Family and Preventive Medicine, Emory University School of Medicine, United States
| | - Kai McKeever Bullard
- Division of Diabetes Translation, Centers for Disease Control and Prevention, United States
| | - Karen R Siegel
- Hubert Department of Global Health, Emory Rollins School of Public Health, United States
| | - Mohammed K Ali
- Department of Family and Preventive Medicine, Emory University School of Medicine, United States; Hubert Department of Global Health, Emory Rollins School of Public Health, United States
| |
Collapse
|
26
|
Weber MB, Rhodes EC, Ranjani H, Jeemon P, Ali MK, Hennink MM, Anjana RM, Mohan V, Narayan KMV, Prabhakaran D. Adapting and scaling a proven diabetes prevention program across 11 worksites in India: the INDIA-WORKS trial. Implement Sci Commun 2023; 4:134. [PMID: 37957783 PMCID: PMC10642065 DOI: 10.1186/s43058-023-00516-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Accepted: 10/26/2023] [Indexed: 11/15/2023] Open
Abstract
BACKGROUND Structured lifestyle change education reduces the burden of cardiometabolic diseases such as diabetes. Delivery of these programs at worksites could overcome barriers to program adoption and improve program sustainability and reach; however, tailoring to the worksite setting is essential. METHODS The Integrating Diabetes Prevention in Workplaces (INDIA-WORKS) study tested the implementation and effectiveness of a multi-level program for reducing cardiometabolic disease risk factors at 11 large and diverse worksites across India. Herein, we describe and classify program adaptations reported during in-depth interviews and focus group discussions with worksite managers, program staff, and peer educators involved in program delivery, and program participants and drop-outs. We used thematic analysis to identify key themes in the data and classified reported program adaptations using the FRAME classification system. RESULTS Adaptations were led by worksite managers, peer educators, and program staff members. They occurred both pre- and during program implementation and were both planned (proactive) and unplanned (proactive and reactive). The most frequently reported adaptations to the individual-level intervention were curriculum changes to tailor lessons to the local context, make the program more appealing to the workers at the site, or add a wider variety of exercise options. Other content adaptations included improvements to the screening protocol, intervention scheduling, and outreach plans to tailor participant recruitment and retention to the sites. Environment-level content adaptations included expanding or leveraging healthy food and exercise options at the worksites. Challenges to adaptation included scheduling and worksite-level challenges. Participants discussed the need to continue adapting the program in the future to continue making it relevant for worksite settings and engaging for employees. CONCLUSION This study describes and classifies site-specific modifications to a structured lifestyle change education program with worksite-wide health improvements in India. This adds to the literature on implementation adaptation in general and worksite wellness in India, a country with a large and growing workforce with, or at risk of, serious cardiometabolic diseases. This information is key for program scale-up, dissemination, and implementation in other settings. TRIAL REGISTRATION Clinicaltrials.gov NCT02813668. Registered June 27, 2016.
Collapse
Affiliation(s)
- Mary Beth Weber
- Emory Global Diabetes Research Center, Woodruff Health Sciences Center, Emory University, Atlanta, GA, USA.
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
| | - Elizabeth C Rhodes
- Emory Global Diabetes Research Center, Woodruff Health Sciences Center, Emory University, Atlanta, GA, USA
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Harish Ranjani
- Madras Diabetes Research Foundation/Dr. Mohan's Diabetes Specialities Centre, Chennai, India
| | - Panniyammakal Jeemon
- Achutha Menon Centre for Health Science Studies, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, India
| | - Mohammed K Ali
- Emory Global Diabetes Research Center, Woodruff Health Sciences Center, Emory University, Atlanta, GA, USA
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
- Department of Family and Preventive Medicine, School of Medicine, Emory University, Atlanta, GA, USA
| | - Monique M Hennink
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Ranjit M Anjana
- Madras Diabetes Research Foundation/Dr. Mohan's Diabetes Specialities Centre, Chennai, India
| | - Viswanathan Mohan
- Madras Diabetes Research Foundation/Dr. Mohan's Diabetes Specialities Centre, Chennai, India
| | - K M Venkat Narayan
- Emory Global Diabetes Research Center, Woodruff Health Sciences Center, Emory University, Atlanta, GA, USA
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Dorairaj Prabhakaran
- Public Health Foundation of India, New Delhi, India
- Centre for Chronic Disease Control, New Delhi, India
| |
Collapse
|
27
|
Sathish T, Khunti K, Narayan KV, Mohan V, Davies MJ, Yates T, Oldenburg B, Thankappan KR, Tapp RJ, Bajpai R, Anjana RM, Weber MB, Ali MK, Shaw JE. Effect of Conventional Lifestyle Interventions on Type 2 Diabetes Incidence by Glucose-Defined Prediabetes Phenotype: An Individual Participant Data Meta-analysis of Randomized Controlled Trials. Diabetes Care 2023; 46:1903-1907. [PMID: 37650824 PMCID: PMC10620543 DOI: 10.2337/dc23-0696] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Accepted: 07/11/2023] [Indexed: 09/01/2023]
Abstract
OBJECTIVE To examine whether the effect of conventional lifestyle interventions on type 2 diabetes incidence differs by glucose-defined prediabetes phenotype. RESEARCH DESIGN AND METHODS We searched multiple databases until 1 April 2023 for randomized controlled trials that recruited people with isolated impaired fasting glucose (i-IFG), isolated impaired glucose tolerance (i-IGT), and impaired fasting glucose plus impaired glucose tolerance (IFG+IGT). Individual participant data were pooled from relevant trials and analyzed through random-effects models with use of the within-trial interactions approach. RESULTS Four trials with 2,794 participants (mean age 53.0 years, 60.7% men) were included: 1,240 (44.4%), 796 (28.5%), and 758 (27.1%) had i-IFG, i-IGT, and IFG+IGT, respectively. After a median of 2.5 years, the pooled hazard ratio for diabetes incidence in i-IFG was 0.97 (95% CI 0.66, 1.44), i-IGT 0.65 (0.44, 0.96), and IFG+IGT 0.51 (0.38, 0.68; Pinteraction = 0.01). CONCLUSIONS Conventional lifestyle interventions reduced diabetes incidence in people with IGT (with or without IFG) but not in those with i-IFG.
Collapse
Affiliation(s)
- Thirunavukkarasu Sathish
- Department of Family and Preventive Medicine, School of Medicine, Emory University, Atlanta, GA
- Emory Global Diabetes Research Center, Woodruff Health Sciences Center, Emory University, Atlanta, GA
| | - Kamlesh Khunti
- Diabetes Research Centre, University of Leicester, Leicester, U.K
| | - K.M. Venkat Narayan
- Emory Global Diabetes Research Center, Woodruff Health Sciences Center, Emory University, Atlanta, GA
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA
| | - Viswanathan Mohan
- Madras Diabetes Research Foundation and Dr. Mohan’s Diabetes Specialities Centre, Chennai, Tamil Nadu, India
| | - Melanie J. Davies
- Diabetes Research Centre, University of Leicester, Leicester, U.K
- NIHR Leicester Biomedical Research Centre, Leicester General Hospital, Leicester, U.K
| | - Thomas Yates
- Diabetes Research Centre, University of Leicester, Leicester, U.K
- NIHR Leicester Biomedical Research Centre, Leicester General Hospital, Leicester, U.K
| | - Brian Oldenburg
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
- School of Psychology and Public Health, La Trobe University, Melbourne, Victoria, Australia
| | - Kavumpurathu R. Thankappan
- Department of Public Health, Amrita Institute of Medical Sciences & Research Center, Kochi, Kerala, India
| | - Robyn J. Tapp
- Research Institute for Health and Wellbeing, Coventry University, Coventry, U.K
- Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia
| | - Ram Bajpai
- School of Medicine, Keele University, Staffordshire, U.K
| | - Ranjit Mohan Anjana
- Madras Diabetes Research Foundation and Dr. Mohan’s Diabetes Specialities Centre, Chennai, Tamil Nadu, India
| | - Mary B. Weber
- Emory Global Diabetes Research Center, Woodruff Health Sciences Center, Emory University, Atlanta, GA
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA
| | - Mohammed K. Ali
- Department of Family and Preventive Medicine, School of Medicine, Emory University, Atlanta, GA
- Emory Global Diabetes Research Center, Woodruff Health Sciences Center, Emory University, Atlanta, GA
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA
| | - Jonathan E. Shaw
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| |
Collapse
|
28
|
O’Brien MJ, Zhang Y, Bailey SC, Khan SS, Ackermann RT, Ali MK, Bowen ME, Benoit SR, Imperatore G, Holliday CS, McKeever Bullard K. Clinical performance and health equity implications of the American Diabetes Association's 2023 screening recommendation for prediabetes and diabetes. Front Endocrinol (Lausanne) 2023; 14:1279348. [PMID: 37900145 PMCID: PMC10611495 DOI: 10.3389/fendo.2023.1279348] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Accepted: 09/21/2023] [Indexed: 10/31/2023] Open
Abstract
Introduction The American Diabetes Association (ADA) recommends screening for prediabetes and diabetes (dysglycemia) starting at age 35, or younger than 35 years among adults with overweight or obesity and other risk factors. Diabetes risk differs by sex, race, and ethnicity, but performance of the recommendation in these sociodemographic subgroups is unknown. Methods Nationally representative data from the National Health and Nutrition Examination Surveys (2015-March 2020) were analyzed from 5,287 nonpregnant US adults without diagnosed diabetes. Screening eligibility was based on age, measured body mass index, and the presence of diabetes risk factors. Dysglycemia was defined by fasting plasma glucose ≥100mg/dL (≥5.6 mmol/L) or haemoglobin A1c ≥5.7% (≥39mmol/mol). The sensitivity, specificity, and predictive values of the ADA screening criteria were examined by sex, race, and ethnicity. Results An estimated 83.1% (95% CI=81.2-84.7) of US adults were eligible for screening according to the 2023 ADA recommendation. Overall, ADA's screening criteria exhibited high sensitivity [95.0% (95% CI=92.7-96.6)] and low specificity [27.1% (95% CI=24.5-29.9)], which did not differ by race or ethnicity. Sensitivity was higher among women [97.8% (95% CI=96.6-98.6)] than men [92.4% (95% CI=88.3-95.1)]. Racial and ethnic differences in sensitivity and specificity among men were statistically significant (P=0.04 and P=0.02, respectively). Among women, guideline performance did not differ by race and ethnicity. Discussion The ADA screening criteria exhibited high sensitivity for all groups and was marginally higher in women than men. Racial and ethnic differences in guideline performance among men were small and unlikely to have a significant impact on health equity. Future research could examine adoption of this recommendation in practice and examine its effects on treatment and clinical outcomes by sex, race, and ethnicity.
Collapse
Affiliation(s)
- Matthew J. O’Brien
- Division of General Internal Medicine and Geriatrics, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
- Institute for Public Health and Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
- Chicago Center for Diabetes Translation Research, Northwestern University Feinberg School of Medicine and University of Chicago Pritzker School of Medicine, Chicago, IL, United States
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
| | - Yan Zhang
- Division of Diabetes Translation, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA, United States
| | - Stacy C. Bailey
- Division of General Internal Medicine and Geriatrics, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
- Institute for Public Health and Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
| | - Sadiya S. Khan
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
- Division of Cardiology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
| | - Ronald T. Ackermann
- Division of General Internal Medicine and Geriatrics, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
- Institute for Public Health and Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
- Chicago Center for Diabetes Translation Research, Northwestern University Feinberg School of Medicine and University of Chicago Pritzker School of Medicine, Chicago, IL, United States
| | - Mohammed K. Ali
- Division of Diabetes Translation, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA, United States
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, United States
- Department of Family and Preventive Medicine, School of Medicine, Emory University, Atlanta, GA, United States
| | - Michael E. Bowen
- Division of General Internal Medicine, Department of Medicine, University of Texas Southwestern Medical Center, Dallas, TX, United States
- Peter O’Donnell Jr. School of Public Health, University of Texas Southwestern Medical Center, Dallas, TX, United States
| | - Stephen R. Benoit
- Division of Diabetes Translation, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA, United States
| | - Giuseppina Imperatore
- Division of Diabetes Translation, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA, United States
| | - Christopher S. Holliday
- Division of Diabetes Translation, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA, United States
| | - Kai McKeever Bullard
- Division of Diabetes Translation, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA, United States
| |
Collapse
|
29
|
Varghese JS, Venkateshmurthy NS, Sudharsanan N, Jeemon P, Patel SA, Thirumurthy H, Roy A, Tandon N, Narayan KMV, Prabhakaran D, Ali MK. Hypertension Diagnosis, Treatment, and Control in India. JAMA Netw Open 2023; 6:e2339098. [PMID: 37870834 PMCID: PMC10594142 DOI: 10.1001/jamanetworkopen.2023.39098] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2023] [Accepted: 09/10/2023] [Indexed: 10/24/2023] Open
Abstract
Importance Hypertension is a major cause of morbidity and mortality worldwide. Previous efforts to characterize gaps in the hypertension care continuum-including diagnosis, treatment, and control-in India did not assess district-level variation. Local data are critical for planning, implementation, and monitoring efforts to curb the burden of hypertension. Objective To examine the hypertension care continuum in India among individuals aged 18 to 98 years. Design, Setting, and Participants The nationally representative Fifth National Family Health Survey study was conducted in 2 phases from June 17, 2019, to March 21, 2020, and from November 21, 2020, to April 30, 2021, among 1 895 297 individuals in 28 states, 8 union territories, and 707 districts of India. Exposures District and state of residence, urban classification, age (18-39, 40-64, and ≥65 years), sex, and household wealth quintile. Main Outcomes and Measures Hypertension was defined as a self-reported diagnosis or a newly measured blood pressure of 140/90 mm Hg or more. The proportion of individuals diagnosed (self-reported), the proportion of individuals treated among those diagnosed (self-reported medication use), and the proportion of individuals with blood pressure control among those treated (blood pressure <140/90 mm Hg [aged 18-79 years] or <150/90 mm Hg [aged ≥80 years]) were calculated based on national guidelines. Age-standardized estimates of treatment and control were also provided among the total with hypertension. To assess differences in the care continuum between or within states (ie, between districts), the variance was partitioned using generalized linear mixed models. Results Of the 1 691 036 adult respondents (52.6% women; mean [SD] age, 41.6 [16.5] years), 28.1% (95% CI, 27.9%-28.3%) had hypertension, of whom 36.9% (95% CI, 36.4%-37.3%) received a diagnosis. Among those who received a diagnosis, 44.7% (95% CI, 44.1%-45.3%) reported taking medication (corresponding to 17.7% [95% CI, 17.5%-17.9%] of the total with hypertension). Among those treated, 52.5% (95% CI, 51.7%-53.4%) had blood pressure control (corresponding to 8.5% [95% CI, 8.3%-8.6%] of the total with hypertension). There were substantial variations across districts in blood pressure diagnosis (range, 6.3%-77.5%), treatment (range, 8.7%-97.1%), and control (range, 2.7%-76.6%). Large proportions of the variation in hypertension diagnosis (94.7%), treatment (93.6%), and control (97.3%) were within states, not just between states. Conclusions and Relevance In this cross-sectional survey study of Indian adults, more than 1 in 4 people had hypertension, and of these, only 1 in 3 received a diagnosis, less than 1 in 5 were treated, and only 1 in 12 had blood pressure control. National mean values hide considerable state-level and district-level variation in the care continuum, suggesting the need for targeted, decentralized solutions to improve the hypertension care continuum in India.
Collapse
Affiliation(s)
- Jithin Sam Varghese
- Emory Global Diabetes Research Center, Woodruff Health Sciences Center, Emory University, Atlanta, Georgia
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia
| | | | - Nikkil Sudharsanan
- Professorship of Behavioral Science for Disease Prevention and Health Care, Technical University of Munich, Munich, Germany
- Heidelberg Institute of Global Health, Heidelberg University, Heidelberg, Germany
| | - Panniyammakal Jeemon
- Achutha Menon Centre for Health Science Studies, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, India
| | - Shivani A. Patel
- Emory Global Diabetes Research Center, Woodruff Health Sciences Center, Emory University, Atlanta, Georgia
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - Harsha Thirumurthy
- Leonard Davis Institute of Health Economics and Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Ambuj Roy
- Department of Cardiology, All India Institute of Medical Sciences, New Delhi, India
| | - Nikhil Tandon
- Department of Endocrinology and Metabolism, All India Institute of Medical Sciences, New Delhi, India
| | - K. M. Venkat Narayan
- Emory Global Diabetes Research Center, Woodruff Health Sciences Center, Emory University, Atlanta, Georgia
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - Dorairaj Prabhakaran
- Public Health Foundation of India, New Delhi, India
- Center for Chronic Disease Control, New Delhi, India
| | - Mohammed K. Ali
- Emory Global Diabetes Research Center, Woodruff Health Sciences Center, Emory University, Atlanta, Georgia
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia
- Department of Family and Preventive Medicine, School of Medicine, Emory University, Atlanta, Georgia
| |
Collapse
|
30
|
Rahim NE, Flood D, Marcus ME, Theilmann M, Aung TN, Agoudavi K, Aryal KK, Bahendeka S, Bicaba B, Bovet P, Diallo AO, Farzadfar F, Guwatudde D, Houehanou C, Houinato D, Hwalla N, Jorgensen J, Kagaruki GB, Mayige M, Wong-McClure R, Larijani B, Saeedi Moghaddam S, Mwalim O, Mwangi KJ, Sarkar S, Sibai AM, Sturua L, Wesseh C, Geldsetzer P, Atun R, Vollmer S, Bärnighausen T, Davies J, Ali MK, Seiglie JA, Manne-Goehler J. Diabetes risk and provision of diabetes prevention activities in 44 low-income and middle-income countries: a cross-sectional analysis of nationally representative, individual-level survey data. Lancet Glob Health 2023; 11:e1576-e1586. [PMID: 37734801 PMCID: PMC10560068 DOI: 10.1016/s2214-109x(23)00348-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 06/27/2023] [Accepted: 07/12/2023] [Indexed: 09/23/2023]
Abstract
BACKGROUND The global burden of diabetes is rising rapidly, yet there is little evidence on individual-level diabetes prevention activities undertaken by health systems in low-income and middle-income countries (LMICs). Here we describe the population at high risk of developing diabetes, estimate diabetes prevention activities, and explore sociodemographic variation in these activities across LMICs. METHODS We performed a pooled, cross-sectional analysis of individual-level data from nationally representative, population-based surveys conducted in 44 LMICs between October, 2009, and May, 2019. Our sample included all participants older than 25 years who did not have diabetes and were not pregnant. We defined the population at high risk of diabetes on the basis of either the presence of impaired fasting glucose (or prediabetes in countries with a haemoglobin A1c available) or overweight or obesity, consistent with the WHO Package of Essential Noncommunicable Disease Guidelines for type 2 diabetes management. We estimated the proportion of survey participants that were at high risk of developing diabetes based on this definition. We also estimated the proportion of the population at high risk that reported each of four fundamental diabetes prevention activities: physical activity counselling, weight loss counselling, dietary counselling, and blood glucose screening, overall and stratified by World Bank income group. Finally, we used multivariable Poisson regression models to evaluate associations between sociodemographic characteristics and these activities. FINDINGS The final pooled sample included 145 739 adults (86 269 [59·2%] of whom were female and 59 468 [40·4%] of whom were male) across 44 LMICs, of whom 59 308 (40·6% [95% CI 38·5-42·8]) were considered at high risk of diabetes (20·6% [19·8-21·5] in low-income countries, 38·0% [37·2-38·9] in lower-middle-income countries, and 57·5% [54·3-60·6] in upper-middle-income countries). Overall, the reach of diabetes prevention activities was low at 40·0% (38·6-41·4) for physical activity counselling, 37·1% (35·9-38·4) for weight loss counselling, 42·7% (41·6-43·7) for dietary counselling, and 37·1% (34·7-39·6) for blood glucose screening. Diabetes prevention varied widely by national-level wealth: 68·1% (64·6-71·4) of people at high risk of diabetes in low-income countries reported none of these activities, whereas 49·0% (47·4-50·7) at high risk in upper-middle-income countries reported at least three activities. Educational attainment was associated with diabetes prevention, with estimated increases in the predicted probability of receipt ranging between 6·5 (3·6-9·4) percentage points for dietary fruit and vegetable counselling and 21·3 (19·5-23·2) percentage points for blood glucose screening, among people with some secondary schooling compared with people with no formal education. INTERPRETATION A large proportion of individuals across LMICs are at high risk of diabetes but less than half reported receiving fundamental prevention activities overall, with the lowest receipt of these activities among people in low-income countries and with no formal education. These findings offer foundational evidence to inform future global targets for diabetes prevention and to strengthen policies and programmes to prevent continued increases in diabetes worldwide. FUNDING Harvard T H Chan School of Public Health McLennan Fund: Dean's Challenge Grant Program and the EU's Research and Innovation programme Horizon 2020.
Collapse
Affiliation(s)
- Nicholas Errol Rahim
- Medical Practice Evaluation Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - David Flood
- Department of Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Maja E Marcus
- Division of Infectious Diseases, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Michaela Theilmann
- Heidelberg Institute of Global Health, Faculty of Medicine and University Hospital, Heidelberg University, Heidelberg, Germany; Behavioral Science for Disease Prevention and Health Care, Department of Sport and Health Sciences, Technical University of Munich, Munich, Germany
| | - Taing N Aung
- Medical Practice Evaluation Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | | | - Krishna Kumar Aryal
- Bergen Centre for Ethics and Priority Setting, Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
| | - Silver Bahendeka
- Diabetes and Endocrinology, Saint Francis Hospital Nsambya, Kampala, Uganda
| | - Brice Bicaba
- National Institute of Public Health, Ouagadougou, Burkina Faso
| | - Pascal Bovet
- University Center for General Medicine and Public Health (Unisanté), Lausanne, Switzerland; Ministry of Health, Victoria, Seychelles
| | - Alpha Oumar Diallo
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Farshad Farzadfar
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - David Guwatudde
- Department of Epidemiology and Biostatistics, School of Public Health, Makerere University, Kampala, Uganda
| | - Corine Houehanou
- Laboratory of Epidemiology of Chronic and Neurological Diseases, Faculty of Health Sciences, University of Abomey-Calavi, Cotonou, Benin
| | - Dismand Houinato
- Laboratory of Epidemiology of Chronic and Neurological Diseases, Faculty of Health Sciences, University of Abomey-Calavi, Cotonou, Benin
| | - Nahla Hwalla
- Faculty of Agricultural and Food Sciences, American University of Beirut, Beirut, Lebanon
| | - Jutta Jorgensen
- Institute of Global Health, Department of Public Health and Epidemiology, Copenhagen University, Copenhagen, Denmark
| | | | - Mary Mayige
- National Institute for Medical Research, Dar es Salaam, Tanzania
| | | | - Bagher Larijani
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Sahar Saeedi Moghaddam
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran; Kiel Institute for the World Economy, Kiel, Germany
| | | | - Kibachio Joseph Mwangi
- Division of Non-Communicable Diseases, Ministry of Health, Nairobi, Kenya; World Health Organization Country Office, Pretoria, South Africa
| | - Sudipa Sarkar
- Division of Endocrinology, Diabetes, and Metabolism, John Hopkins University, Baltimore, MD, USA
| | - Abla M Sibai
- Department of Epidemiology and Population Health, Faculty of Health Sciences, American University of Beirut, Beirut, Lebanon
| | - Lela Sturua
- Non-Communicable Disease Department, National Center for Disease Control and Public Health, Tbilisi, Georgia
| | | | - Pascal Geldsetzer
- Division of Primary Care and Population Health, Department of Medicine, Stanford University, Stanford, CA, USA; Chan Zuckerberg Biohub-San Francisco, San Francisco, CA, USA
| | - Rifat Atun
- Department of Global Health and Population, Harvard T H Chan School of Public Health, Harvard University, Boston, MA, USA; Department of Global Health and Social Medicine, Harvard Medical School, Harvard University, Boston, MA, USA
| | - Sebastian Vollmer
- Department of Economics and Centre for Modern Indian Studies, University of Göttingen, Göttingen, Germany
| | - Till Bärnighausen
- Heidelberg Institute of Global Health, Faculty of Medicine and University Hospital, Heidelberg University, Heidelberg, Germany; Department of Global Health and Social Medicine, Harvard Medical School, Harvard University, Boston, MA, USA; Africa Health Research Institute, Somkhele, South Africa
| | - Justine Davies
- MRC/Wits Rural Public Health and Health Transitions Research Unit, School of Public Health, University of Witwatersrand, Johannesburg, South Africa; Institute of Applied Health Research, University of Birmingham, Birmingham, UK; Centre for Global Surgery, Department of Global Health, Stellenbosch University, Cape Town, South Africa
| | - Mohammed K Ali
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA; Department of Family and Prevention Medicine, School of Medicine, Emory University, Atlanta, GA, USA
| | - Jacqueline A Seiglie
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA; Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Jennifer Manne-Goehler
- Medical Practice Evaluation Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Division of Infectious Diseases, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
| |
Collapse
|
31
|
Singh K, Kondal D, Menon VU, Varthakavi PK, Viswanathan V, Dharmalingam M, Bantwal G, Sahay RK, Masood MQ, Khadgawat R, Desai A, Prabhakaran D, Narayan KMV, Phillips VL, Tandon N, Ali MK. Cost-effectiveness of a multicomponent quality improvement care model for diabetes in South Asia: The CARRS randomized clinical trial. Diabet Med 2023; 40:e15074. [PMID: 36815284 DOI: 10.1111/dme.15074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Revised: 01/31/2023] [Accepted: 02/16/2023] [Indexed: 02/24/2023]
Abstract
OBJECTIVES To assess the cost-effectiveness of a multicomponent strategy versus usual care in people with type 2 diabetes in South Asia. DESIGN Economic evaluation from healthcare system and societal perspectives. SETTING Ten diverse urban clinics in India and Pakistan. PARTICIPANTS 1146 people with type 2 diabetes (575 in the intervention group and 571 in the usual care group) with mean age of 54.2 years, median diabetes duration: 7 years and mean HbA1c: 9.9% (85 mmol/mol) at baseline. INTERVENTION Multicomponent strategy comprising decision-supported electronic health records and non-physician care coordinator. Control group received usual care. OUTCOME MEASURES Incremental cost-effectiveness ratios (ICERs) per unit achievement in multiple risk factor control (HbA1c <7% (53 mmol/mol) and SBP <130/80 mmHg or LDLc <2.58 mmol/L (100 mg/dL)), ICERs per unit reduction in HbA1c, 5-mmHg unit reductions in systolic BP, 10-unit reductions in LDLc (mg/dl) (considered as clinically relevant) and ICER per quality-adjusted life years (QALYs) gained. ICERs were reported in 2020 purchasing power parity-adjusted international dollars (INT$). The probability of ICERs being cost-effective was considered depending on the willingness to pay (WTP) values as a share of GDP per capita for India (Int$ 7041.4) and Pakistan (Int$ 4847.6). RESULTS Compared to usual care, the annual incremental costs per person for intervention group were Int$ 1061.9 from a health system perspective and Int$ 1093.6 from a societal perspective. The ICER was Int$ 10,874.6 per increase in multiple risk factor control, $2588.1 per one percentage point reduction in the HbA1c, and $1744.6 per 5 unit reduction in SBP (mmHg), and $1271 per 10 unit reduction in LDLc (mg/dl). The ICER per QALY gained was $33,399.6 from a societal perspective. CONCLUSIONS In a trial setting in South Asia, a multicomponent strategy for diabetes care resulted in better multiple risk factor control at higher costs and may be cost-effective depending on the willingness to pay threshold with substantial uncertainty around cost-effectiveness for QALYs gained in the short term (2.5 years). Future research needs to confirm the long-term cost-effectiveness of intensive multifactorial intervention for diabetes care in diverse healthcare settings in LMICs.
Collapse
Affiliation(s)
- Kavita Singh
- Centre for Chronic Conditions and Injuries, Public Health Foundation of India, Gurgaon, Haryana, India
- Heidelberg Institute of Global Health, Heidelberg University, Heidelberg, Germany
| | - Dimple Kondal
- Centre for Chronic Disease Control, New Delhi, India
| | - V Usha Menon
- Amrita Institute of Medical Sciences, Department of Endocrinology & Diabetes, Kochi, Kerala, India
| | - Premlata K Varthakavi
- TNM College & BYL Nair Charity Hospital, Department of Endocrinology, Mumbai, Maharashtra, India
| | - Vijay Viswanathan
- MV Hospital for Diabetes & Diabetes Research Centre, Chennai, Tamil Nadu, India
| | - Mala Dharmalingam
- Bangalore Endocrinology & Diabetes Research Centre, Bangalore, Karnataka, India
| | - Ganapati Bantwal
- Department of Endocrinology, St. John's Medical College & Hospital, Bangalore, Karnataka, India
| | - Rakesh Kumar Sahay
- Department of Endocrinology, Osmania General Hospital, Hyderabad, Telangana, India
| | - Muhammad Qamar Masood
- Department of Medicine, Section of Endocrinology and Diabetes, Aga Khan University, Karachi, Pakistan
| | - Rajesh Khadgawat
- Department of Endocrinology & Metabolism, All India Institute of Medical Sciences, New Delhi, India
| | - Ankush Desai
- Endocrine Unit, Department of Medicine, Goa Medical College, Bambolim, Goa, India
| | - Dorairaj Prabhakaran
- Centre for Chronic Conditions and Injuries, Public Health Foundation of India, Gurgaon, Haryana, India
- Centre for Chronic Disease Control, New Delhi, India
| | - K M Venkat Narayan
- Emory University, Rollins School of Public Health, Atlanta, Georgia, USA
| | | | - Nikhil Tandon
- Department of Endocrinology & Metabolism, All India Institute of Medical Sciences, New Delhi, India
| | - Mohammed K Ali
- Emory University, Rollins School of Public Health, Atlanta, Georgia, USA
| |
Collapse
|
32
|
Ali MK, Sudharsanan N, Thirumurthy H. Behaviour change in the era of biomedical advances. Nat Hum Behav 2023; 7:1417-1419. [PMID: 37452086 DOI: 10.1038/s41562-023-01666-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/18/2023]
Affiliation(s)
- Mohammed K Ali
- Department of Family and Preventive Medicine, School of Medicine, Emory University, Atlanta, GA, USA.
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
- Emory Global Diabetes Research Center, Woodruff Health Sciences Center, Atlanta, GA, USA.
| | - Nikkil Sudharsanan
- Behavioral Science for Disease Prevention and Health Care, Technical University of Munich, Munich, Germany
- Heidelberg Institute of Global Health, Heidelberg University, Heidelberg, Germany
| | - Harsha Thirumurthy
- Department of Medical Ethics and Health Policy, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Center for Health Incentives and Behavioral Economics, University of Pennsylvania, Philadelphia, PA, USA
| |
Collapse
|
33
|
Weber MB, Rhodes EC, Ranjani H, Jeemon P, Ali MK, Hennink MM, Anjana RM, Mohan V, Narayan KV, Prabhakaran D. Adapting and scaling a proven diabetes prevention program across 11 worksites in India: the INDIA-WORKS trial. Res Sq 2023:rs.3.rs-3143470. [PMID: 37577514 PMCID: PMC10418536 DOI: 10.21203/rs.3.rs-3143470/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/15/2023]
Abstract
Background Delivery of proven structured lifestyle change education for reducing the burden of cardiometabolic diseases such as diabetes at worksites could overcome barriers to program adoption and improve sustainability and reach of these programs; however, tailoring to the worksite setting is essential. Methods The Integrating Diabetes Prevention in Workplaces (INDIA-WORKS) study tested the implementation and effectiveness of a multi-level program for reducing cardiometabolic disease risk factors at eleven large and diverse worksites across India. Herein, we describe and classify program adaptations reported during in-depth interviews and focus group discussions with worksite managers, program staff, peer educators involved in program delivery, and program participants and drop-outs. We used thematic analysis to identify key themes in the data and classified reported program adaptations using the FRAME classification system. Results Adaptations were led by worksite managers, peer educators, and program staff members. They occurred both pre- and during program implementation and were both planned (proactive) and unplanned (proactive and reactive). The most frequently reported adaptations to the individual-level intervention were curriculum changes to tailor lessons to the local context, make the program more appealing to the workers at the site, or add exercise options. Other content adaptations included improvements to the screening protocol, intervention scheduling, and outreach plans to tailor participant recruitment and retention to the sites. Environment-level content adaptations included expanding or leveraging healthy food and exercise options at the worksites. Challenges to adaptation included scheduling and worksite-level challenges. Participants discussed the need to continue adapting the program in the future to continue making it relevant for worksite settings and engaging for employees. Conclusion This study describes and classifies site-specific modifications to a structured lifestyle change education program with worksite-wide health improvements in India. This adds to the literature on implementation adaptation in general and worksite wellness in India, a country with a large and growing workforce with, or at risk of, serious cardiometabolic diseases. This information is key for program scale-up, dissemination, and implementation in other settings. Trial Registration Clinicaltrial.gov NCT02813668, registered June 27, 2016.
Collapse
|
34
|
Chehal PK, Uppal TS, Ng BP, Alva M, Ali MK. Trends and Race/Ethnic Disparities in Diabetes-Related Hospital Use in Medicaid Enrollees: Analyses of Serial Cross-sectional State Data, 2008-2017. J Gen Intern Med 2023; 38:2279-2288. [PMID: 36385411 PMCID: PMC10406763 DOI: 10.1007/s11606-022-07842-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Accepted: 10/06/2022] [Indexed: 11/17/2022]
Abstract
BACKGROUND Race/ethnic disparities in preventable diabetes-specific hospital care may exist among adults with diabetes who have Medicaid coverage. OBJECTIVE To examine race/ethnic disparities in utilization of preventable hospital care by adult Medicaid enrollees with diabetes across nine states over time. DESIGN Using serial cross-sectional state discharge records for emergency department (ED) visits and inpatient (IP) hospitalizations from the Healthcare Cost and Utilization Project, we quantified race/ethnicity-specific, state-year preventable diabetes-specific hospital utilization. PARTICIPANTS Non-Hispanic Black, non-Hispanic White, and Hispanic adult Medicaid enrollees aged 18-64 with a diabetes diagnosis (excluding gestational or secondary diabetes) who were discharged from hospital care in Arizona, Iowa, Kentucky, Florida, Maryland, New Jersey, New York, North Carolina, and Utah for the years 2008, 2011, 2014, and 2017. MAIN MEASURES Non-Hispanic Black-over-White and Hispanic-over-White rate ratios constructed using age- standardized state-year, race/ethnicity-specific ED, and IP diabetes-specific utilization rates. KEY RESULTS The ratio of Black-over-White ED utilization rates for preventable diabetes-specific hospital care increased across the 9 states in our sample from 1.4 (CI 95, 1.31-1.50) in 2008 to 1.73 (CI 95, 1.68-1.78) in 2017. The cross-year-state average non-Hispanic Black-over-White IP rate ratio was 1.46 (CI 95, 1.42-1.50), reflecting increases in some states and decreases in others. The across-state-year average Hispanic-over-White rate ratio for ED utilization was 0.67 (CI 95, 0.63-0.71). The across-state-year average Hispanic-over-White IP hospitalization rate ratio was 0.72 (CI 95, 0.69-0.75). CONCLUSIONS Hospital utilization by non-Hispanic Black Medicaid enrollees with diabetes was consistently greater and often increased relative to utilization by White enrollees within state programs between 2008 and 2017. Hispanic enrollee hospital utilization was either lower or indistinguishable relative to White enrollee hospital utilization in most states, but Hispanic utilization increased faster than White utilization in some states. Among broader patterns, there is heterogeneity in the magnitude of race/ethnic disparities in hospital utilization trends across states.
Collapse
Affiliation(s)
- Puneet Kaur Chehal
- Department of Health Policy and Management, Rollins School of Public Health, Emory University, 1518 Clifton Road, Atlanta, GA, 30322, USA.
| | - Tegveer S Uppal
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Boon Peng Ng
- College of Nursing, University of Central Florida, Orlando, FL, USA
- Disability, Aging and Technology Cluster, University of Central Florida, Orlando, FL, USA
| | - Maria Alva
- Massive Data Institute, McCourt School of Public Policy, Georgetown University, Washington, DC, USA
| | - Mohammed K Ali
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
- Department of Family and Preventive Medicine, School of Medicine, Emory University, Atlanta, GA, USA
| |
Collapse
|
35
|
Varghese JS, Anjana RM, Geldsetzer P, Sudharsanan N, Manne-Goehler J, Thirumurthy H, Bhattacharyya S, Narayan KMV, Mohan V, Tandon N, Ali MK. National Estimates of the Adult Diabetes Care Continuum in India, 2019-2021. JAMA Intern Med 2023:2807945. [PMID: 37523192 PMCID: PMC10391358 DOI: 10.1001/jamainternmed.2023.3070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/01/2023]
Abstract
Importance Diabetes is widespread and treatable, but little is known about the diabetes care continuum (diagnosis, treatment, and control) in India and how it varies at the national, state, and district levels. Objective To estimate the adult population levels of diabetes diagnosis, treatment, and control in India at national, state, and district levels and by sociodemographic characteristics. Design, Setting, and Participants In this cross-sectional, nationally representative survey study from 2019 to 2021, adults in India from 28 states, 8 union territories, and 707 districts were surveyed for India's Fifth National Family Health Survey (NFHS-5). The survey team collected data on blood glucose among all adults (18-98 years) who were living in the same household as eligible participants (pregnant or nonpregnant female individuals aged 15-49 years and male individuals aged 15-54 years). The overall sample consisted of 1 895 287 adults. The analytic sample was restricted to those who either self-reported having diabetes or who had a valid measurement of blood glucose. Exposures The exposures in this survey study were district and state residence; urban vs rural residence; age (18-39 years, 40-64 years, or ≥65 years); sex; and household wealth quintile. Main Outcomes and Measures Diabetes was defined by self-report or high capillary blood glucose (fasting: ≥126 mg/dL [to convert to mmol/L, multiply by 0.0555]; nonfasting: ≥220 mg/dL). Among respondents who had previously been diagnosed with diabetes, the main outcome was the proportion treated based on self-reported medication use and the proportion controlled (fasting: blood glucose <126 mg/dL; nonfasting: ≤180 mg/dL). The findings were benchmarked against the World Health Organization (WHO) Global Diabetes Compact targets (80% diagnosis; 80% control among those diagnosed). The variance in indicators between and within states was partitioned using variance partition coefficients (VPCs). Results Among 1 651 176 adult respondents (mean [SD] age, 41.6 [16.4] years; 867 896 [52.6%] female) with blood glucose measures, the proportion of individuals with diabetes was 6.5% (95% CI, 6.4%-6.6%). Among adults with diabetes, 74.2% (95% CI, 73.3%-75.0%) were diagnosed. Among those diagnosed, 59.4% (95% CI, 58.1%-60.6%) reported taking medication, and 65.5% (95% CI, 64.5%-66.4%) achieved control. Diagnosis and treatment were higher in urban areas, older age groups, and wealthier households. Among those diagnosed in the 707 districts surveyed, 246 (34.8%) districts met the WHO diagnosis target, while 76 (10.7%) districts met the WHO control target. Most of the variability in diabetes diagnosis (VPC, 89.1%), treatment (VPC, 85.9%), and control (VPC, 95.6%) were within states, not between states. Conclusions and Relevance In this survey study, the diabetes care continuum in India is represented by considerable district-level variation, age-related disparities, and rural-urban differences. Surveillance at the district level can guide state health administrators to prioritize interventions and monitor achievement of global targets.
Collapse
Affiliation(s)
- Jithin Sam Varghese
- Emory Global Diabetes Research Center of Woodruff Health Sciences Center and Emory University, Atlanta, Georgia
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - Ranjit Mohan Anjana
- Madras Diabetes Research Foundation and Dr Mohan's Diabetes Specialities Centre, Chennai, India
| | - Pascal Geldsetzer
- Division of Primary Care and Population Health, Department of Medicine, Stanford University, Stanford, California
- Chan Zuckerberg Biohub-San Francisco, San Francisco, California
| | - Nikkil Sudharsanan
- Professorship of Behavioral Science for Disease Prevention and Health Care, Technical University of Munich, Munich, Germany
- Heidelberg Institute of Global Health, Heidelberg University, Heidelberg, Germany
| | - Jennifer Manne-Goehler
- Division of Infectious Diseases, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Harsha Thirumurthy
- Department of Medical Ethics and Health Policy, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | | | - K M Venkat Narayan
- Emory Global Diabetes Research Center of Woodruff Health Sciences Center and Emory University, Atlanta, Georgia
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - Viswanathan Mohan
- Madras Diabetes Research Foundation and Dr Mohan's Diabetes Specialities Centre, Chennai, India
| | - Nikhil Tandon
- Department of Endocrinology and Metabolism, All India Institute of Medical Sciences, New Delhi, India
| | - Mohammed K Ali
- Emory Global Diabetes Research Center of Woodruff Health Sciences Center and Emory University, Atlanta, Georgia
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia
- Department of Family and Preventive Medicine, School of Medicine, Emory University, Atlanta, Georgia
| |
Collapse
|
36
|
Affiliation(s)
- David A Watkins
- Division of General Internal Medicine, Department of Medicine, University of Washington, Seattle, WA, USA; Department of Global Health, University of Washington, Seattle, WA 98195, USA.
| | - Mohammed K Ali
- Emory Global Diabetes Research Center, Woodruff Health Sciences Center, Emory University, Atlanta, GA, USA; Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA; Department of Family and Preventive Medicine, School of Medicine, Emory University, Atlanta, GA, USA
| |
Collapse
|
37
|
Harding JL, Wang Y, McDonald B, Gander JC, Oviedo SA, Ali MK. Disruption to routine diabetes care processes during the pandemic: evidence from a large integrated health system in the Southeast United States. BMJ Open Diabetes Res Care 2023; 11:e003466. [PMID: 37433697 DOI: 10.1136/bmjdrc-2023-003466] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Accepted: 06/28/2023] [Indexed: 07/13/2023] Open
Abstract
INTRODUCTION We investigated the impact of the COVID-19 pandemic on annual adherence to seven diabetes care guidelines and risk factor management among people with diabetes. RESEARCH DESIGN AND METHODS We included all adults (aged ≥18 years) with prevalent diabetes as of 1 January 2018, who were continuously enrolled at Kaiser Permanente Georgia (KPGA) through 31 December 2021 (n=22 854). Prevalent diabetes was defined as a history of at least one of a diagnosis code for diabetes, use of antihyperglycemic medication, or at least one laboratory value of HbA1c, fasting plasma glucose or random glucose in the diabetic range. We defined pre-COVID (2018-2019) and during COVID (2020-2021) cohorts. Cohort-specific laboratory measurements (ie, blood pressure (BP), HbA1c, cholesterol, creatinine, urine-albumin-creatinine ratio (UACR)) and procedures (ie, eye and foot examinations) were determined from KPGA's electronic medical record data. We used logistic generalized estimating equations (GEE), adjusted for baseline age, to assess the within-subject change in guideline adherence (ie, at least one measurement per year per period) from pre-COVID to during COVID era overall, and by age, sex, and race. Linear GEE compared mean laboratory measurements pre and during COVID. RESULTS The proportion of adults meeting each of the seven diabetes care guidelines decreased significantly during (vs pre) COVID (range in absolute reductions: -0.8% to -11.2%) with greatest reductions seen for BP (-11.2%) and cholesterol (-8.8%). Declines were similar across age, sex, and race subgroups. Average HbA1c and systolic BP increased 0.11% and 1.6 mmHg, respectively, while low-density lipoprotein cholesterol declined 8.9 mg/dL. The proportion of adults at high risk of kidney disease (ie, UACR ≥300 mg/g) increased from 6.5% to 9.4%. CONCLUSIONS In an integrated healthcare system, the proportion of people with diabetes meeting guideline-recommended screenings decreased during the pandemic, coinciding with worsening glucose, kidney, and (some) cardiovascular risk profiles. Follow-up is needed to assess the long-term implications of these care gaps.
Collapse
Affiliation(s)
- Jessica L Harding
- Department of Surgery, Emory University School of Medicine, Atlanta, Georgia, USA
- Department of Epidemiology, Rollins School of Public Health, Atlanta, Georgia, USA
| | - Yanan Wang
- Department of Surgery, Emory University School of Medicine, Atlanta, Georgia, USA
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Atlanta, Georgia, USA
| | - Bennett McDonald
- Center for Research and Evaluation, Kaiser Permanente Georgia, Atlanta, Georgia, USA
| | - Jennifer C Gander
- Center for Research and Evaluation, Kaiser Permanente Georgia, Atlanta, Georgia, USA
| | - Sofia A Oviedo
- Department of Surgery, Emory University School of Medicine, Atlanta, Georgia, USA
- Department of Epidemiology, Rollins School of Public Health, Atlanta, Georgia, USA
| | - Mohammed K Ali
- Family and Preventive Medicine; Hubert Department of Global Health, Emory University, Atlanta, Georgia, USA
| |
Collapse
|
38
|
Gupta P, Cunningham SA, Ali MK, Mohan S, Mahapatra P, Pati SC. Multimorbidity clusters and associated health care cost among patients attending psychiatric clinics in Odisha, India. Indian J Psychiatry 2023; 65:736-741. [PMID: 37645353 PMCID: PMC10461583 DOI: 10.4103/indianjpsychiatry.indianjpsychiatry_463_22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Revised: 03/30/2023] [Accepted: 05/31/2023] [Indexed: 08/31/2023] Open
Abstract
Introduction There is a dearth of data on common multimorbidity clusters and the healthcare costs for individuals with mental health disorders. This study aimed to identify clinically meaningful physical-mental multimorbidity clusters, frequently occurring clusters of conditions, and healthcare utilization patterns and expenditure among patients attending a psychiatric outpatient clinic. Materials and Methods Data were collected in the psychiatric outpatient department among patients aged 18 years and above in February-July 2019 (n = 500); follow-up data on non-communicable disease incidence were collected after 18 months. For analysis, morbidity clusters were defined using two approaches: 1) agglomerative hierarchical clustering method to identify clusters of diseases; and 2) non-hierarchical cluster k mean analysis to identify clusters of patients. Self-reported healthcare costs in these clusters were also calculated. Result Two disease clusters were identified: using the 1st approach were; 1) hypertension, diabetes, and mood disorder; 2) Neurotic, stress-related, and somatoform disorders, and acid peptic disease. Three clusters of patients identified using the 2nd approach were identified: 1) those with mood disorders and cardiometabolic, musculoskeletal, and thyroid diseases; 2) those with neurotic, substance use, and organic mental disorders, cancer, and epilepsy; and 3) those with Schizophrenia. Patients in Cluster 1 were taking more than six medicines and had more hospital visits. Within 18 months, 41 participants developed either one or two chronic conditions, most commonly diabetes, hypertension, or thyroid disease. Conclusion Cardiometabolic diseases are most commonly clustered with mood disorders. There is a need for blood pressure and sugar measurement in psychiatric clinics and mood disorder screening in cardiac, endocrinology, and primary care clinics.
Collapse
Affiliation(s)
- Priti Gupta
- Research Department, Centre for Chronic Disease Control, New Delhi, India
| | | | - Mohammed K. Ali
- Department of Global Health, Emory University, Atlanta, Georgia
| | - Sailesh Mohan
- Centre for Chronic Conditions and Injuries (CCCI), Public Health Foundation of India, Delhi, India
| | - Pranab Mahapatra
- Department of Psychiatry, Kalinga Institute of Medical Sciences, KIIT University, Bhubaneswar, Odisha, India
| | - Sanghamitra C. Pati
- Department of Health Research, ICMR-Regional Medical Research Centre, Bhubaneswar, Odisha, India
| |
Collapse
|
39
|
Xu R, Ali MK, Ho JC, Yang C. Hypergraph Transformers for EHR-based Clinical Predictions. AMIA Jt Summits Transl Sci Proc 2023; 2023:582-591. [PMID: 37350881 PMCID: PMC10283128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 06/24/2023]
Abstract
Electronic health records (EHR) data contain rich information about patients' health conditions including diagnosis, procedures, medications and etc., which have been widely used to facilitate digital medicine. Despite its importance, it is often non-trivial to learn useful representations for patients' visits that support downstream clinical predictions, as each visit contains massive and diverse medical codes. As a result, the complex interactions among medical codes are often not captured, which leads to substandard predictions. To better model these complex relations, we leverage hypergraphs, which go beyond pairwise relations to jointly learn the representations for visits and medical codes. We also propose to use the self-attention mechanism to automatically identify the most relevant medical codes for each visit based on the downstream clinical predictions with better generalization power. Experiments on two EHR datasets show that our proposed method not only yields superior performance, but also provides reasonable insights towards the target tasks.
Collapse
Affiliation(s)
- Ran Xu
- Department of Computer Science, Emory University, Atlanta, GA
| | - Mohammed K Ali
- Hubert Department of Global Health, Emory University, Atlanta, GA
| | - Joyce C Ho
- Department of Computer Science, Emory University, Atlanta, GA
| | - Carl Yang
- Department of Computer Science, Emory University, Atlanta, GA
| |
Collapse
|
40
|
Sharma N, Chopra M, Bauld L, Nazar GP, Joshi N, Chugh A, Mohan S, Mohan D, Ali MK, Mohan V, Tandon N, Venkat Narayan KM, Srinath Reddy K, Prabhakaran D, Arora M. Corrigendum: Impact of a tobacco sales ban on the frequency of tobacco consumption in India during the COVID-19 pandemic. Tob Induc Dis 2023; 21:74. [PMID: 37305427 PMCID: PMC10249467 DOI: 10.18332/tid/166113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Accepted: 05/13/2023] [Indexed: 06/13/2023] Open
Abstract
[This corrects the article DOI: 10.18332/tid/161855.].
Collapse
Affiliation(s)
- Nitika Sharma
- Health Related Information Dissemination Amongst Youth, New Delhi, India
| | - Mansi Chopra
- Health Related Information Dissemination Amongst Youth, New Delhi, India
| | - Linda Bauld
- Usher Institute, University of Edinburgh, Edinburgh, United Kingdom
- SPECTRUM Consortium, University of Edinburgh, Edinburgh, United Kingdom
| | - Gaurang P. Nazar
- Health Related Information Dissemination Amongst Youth, New Delhi, India
- Public Health Foundation of India, Gurugram, India
| | - Nishigandha Joshi
- Health Related Information Dissemination Amongst Youth, New Delhi, India
| | - Aastha Chugh
- Health Related Information Dissemination Amongst Youth, New Delhi, India
| | - Sailesh Mohan
- Public Health Foundation of India, Gurugram, India
- Centre for Chronic Disease Control, New Delhi, India
| | - Deepa Mohan
- Madras Diabetes Research Foundation, Chennai, India
| | - Mohammed K. Ali
- Rollins School of Public Health, Emory University, Atlanta, United States
- Emory Global Diabetes Research Center, Emory University, Atlanta, United States
| | | | - Nikhil Tandon
- All India Institute of Medical Sciences, New Delhi, India
| | - K. M. Venkat Narayan
- Rollins School of Public Health, Emory University, Atlanta, United States
- Emory Global Diabetes Research Center, Emory University, Atlanta, United States
| | | | | | - Monika Arora
- Health Related Information Dissemination Amongst Youth, New Delhi, India
- Public Health Foundation of India, Gurugram, India
| |
Collapse
|
41
|
O'Brien MJ, Zhang Y, Bailey SC, Khan SS, Ackermann RT, Ali MK, Benoit SR, Imperatore G, Holliday CS, Bullard KM. Screening for Prediabetes and Diabetes: Clinical Performance and Implications for Health Equity. Am J Prev Med 2023; 64:814-823. [PMID: 37171231 PMCID: PMC10188199 DOI: 10.1016/j.amepre.2023.01.007] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Revised: 01/05/2023] [Accepted: 01/06/2023] [Indexed: 05/13/2023]
Abstract
INTRODUCTION In 2021, the U.S. Preventive Services Task Force (USPSTF) recommended prediabetes and diabetes screening for asymptomatic adults aged 35-70 years with overweight/obesity, lowering the age from 40 years in its 2015 recommendation. The USPSTF suggested considering earlier screening in racial and ethnic groups with high diabetes risk at younger ages or lower BMI. This study examined the clinical performance of these USPSTF screening recommendations as well as alternative age and BMI cutoffs in the U.S. adult population overall, and separately by race and ethnicity. METHODS Nationally representative data were collected from 3,243 nonpregnant adults without diagnosed diabetes in January 2017-March 2020 and analyzed from 2021 to 2022. Screening eligibility was based on age and measured BMI. Collectively, prediabetes and undiagnosed diabetes were defined by fasting plasma glucose ≥100 mg/dL or hemoglobin A1c ≥5.7%. The sensitivity, specificity, and predictive values of alternate screening criteria were examined overall, and by race and ethnicity. RESULTS The 2021 criteria exhibited marginally higher sensitivity (58.6%, 95% CI=55.5, 61.6 vs 52.9%, 95% CI=49.7, 56.0) and lower specificity (69.3%, 95% CI=65.7, 72.2 vs 76.4%, 95% CI=73.3, 79.2) than the 2015 criteria overall, and within each racial and ethnic group. Screening at lower age and BMI thresholds resulted in even greater sensitivity and lower specificity, especially among Hispanic, non-Hispanic Black, and Asian adults. Screening all adults aged 35-70 years regardless of BMI yielded the most equitable performance across all racial and ethnic groups. CONCLUSIONS The 2021 USPSTF screening criteria will identify more adults with prediabetes and diabetes in all racial and ethnic groups than the 2015 criteria. Screening all adults aged 35-70 years exhibited even higher sensitivity and performed most similarly by race and ethnicity, which may further improve early detection of prediabetes and diabetes in diverse populations.
Collapse
Affiliation(s)
- Matthew J O'Brien
- Division of General Internal Medicine and Geriatrics, Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Ilinois; Institute for Public Health and Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Ilinois; Chicago Center for Diabetes Translation Research, Northwestern University Feinberg School of Medicine and University of Chicago Pritzker School of Medicine, Chicago, Ilinois; Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Ilinois.
| | - Yan Zhang
- Division of Diabetes Translation, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Stacy C Bailey
- Division of General Internal Medicine and Geriatrics, Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Ilinois; Institute for Public Health and Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Ilinois
| | - Sadiya S Khan
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Ilinois; Division of Cardiology, Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Ilinois
| | - Ronald T Ackermann
- Division of General Internal Medicine and Geriatrics, Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Ilinois; Institute for Public Health and Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Ilinois; Chicago Center for Diabetes Translation Research, Northwestern University Feinberg School of Medicine and University of Chicago Pritzker School of Medicine, Chicago, Ilinois
| | - Mohammed K Ali
- Division of Diabetes Translation, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia; Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia; Department of Family and Preventive Medicine, School of Medicine, Emory University, Atlanta, Georgia
| | - Stephen R Benoit
- Division of Diabetes Translation, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Giuseppina Imperatore
- Division of Diabetes Translation, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Christopher S Holliday
- Division of Diabetes Translation, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Kai McKeever Bullard
- Division of Diabetes Translation, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia
| |
Collapse
|
42
|
Manyazewal T, Ali MK, Kebede T, Magee MJ, Getinet T, Patel SA, Hailemariam D, Escoffery C, Woldeamanuel Y, Makonnen N, Solomon S, Amogne W, Marconi VC, Fekadu A. Mapping digital health ecosystems in Africa in the context of endemic infectious and non-communicable diseases. NPJ Digit Med 2023; 6:97. [PMID: 37237022 PMCID: PMC10213589 DOI: 10.1038/s41746-023-00839-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Accepted: 05/05/2023] [Indexed: 05/28/2023] Open
Abstract
Investments in digital health technologies such as artificial intelligence, wearable devices, and telemedicine may support Africa achieve United Nations (UN) Sustainable Development Goal for Health by 2030. We aimed to characterize and map digital health ecosystems of all 54 countries in Africa in the context of endemic infectious and non-communicable diseases (ID and NCD). We performed a cross-national ecological analysis of digital health ecosystems using 20-year data from the World Bank, UN Economic Commission for Africa, World Health Organization, and Joint UN Programme on HIV/AIDS. Spearman's rank correlation coefficients were used to characterize ecological correlations between exposure (technology characteristics) and outcome (IDs and NCDs incidence/mortality) variables. Weighted linear combination model was used as the decision rule, combining disease burden, technology access, and economy, to explain, rank, and map digital health ecosystems of a given country. The perspective of our analysis was to support government decision-making. The 20-year trend showed that technology characteristics have been steadily growing in Africa, including internet access, mobile cellular and fixed broadband subscriptions, high-technology manufacturing, GDP per capita, and adult literacy, while many countries have been overwhelmed by a double burden of IDs and NCDs. Inverse correlations exist between technology characteristics and ID burdens, such as fixed broadband subscription and incidence of tuberculosis and malaria, or GDP per capita and incidence of tuberculosis and malaria. Based on our models, countries that should prioritize digital health investments were South Africa, Nigeria, and Tanzania for HIV; Nigeria, South Africa, and Democratic Republic of the Congo (DROC) for tuberculosis; DROC, Nigeria, and Uganda for malaria; and Egypt, Nigeria, and Ethiopia for endemic NCDs including diabetes, cardiovascular disease, respiratory diseases, and malignancies. Countries such as Kenya, Ethiopia, Zambia, Zimbabwe, Angola, and Mozambique were also highly affected by endemic IDs. By mapping digital health ecosystems in Africa, this study provides strategic guidance about where governments should prioritize digital health technology investments that require preliminary analysis of country-specific contexts to bring about sustainable health and economic returns. Building digital infrastructure should be a key part of economic development programs in countries with high disease burdens to ensure more equitable health outcomes. Though infrastructure developments alongside digital health technologies are the responsibility of governments, global health initiatives can cultivate digital health interventions substantially by bridging knowledge and investment gaps, both through technology transfer for local production and negotiation of prices for large-scale deployment of the most impactful digital health technologies.
Collapse
Affiliation(s)
- Tsegahun Manyazewal
- Addis Ababa University, College of Health Sciences, Center for Innovative Drug Development and Therapeutic Trials for Africa (CDT-Africa), Addis Ababa, Ethiopia.
| | - Mohammed K Ali
- Emory University, Rollins School of Public Health, Hubert Department of Global Health, Atlanta, GA, USA
- Emory University, School of Medicine, Department of Family and Preventive Medicine, Atlanta, GA, USA
| | - Tedla Kebede
- Addis Ababa University, College of Health Sciences, School of Medicine, Addis Ababa, Ethiopia
| | - Matthew J Magee
- Emory University, Rollins School of Public Health, Hubert Department of Global Health, Atlanta, GA, USA
| | - Tewodros Getinet
- St. Paul's Hospital Millennium Medical College, School of Public Health, Addis Ababa, Ethiopia
| | - Shivani A Patel
- Emory University, Rollins School of Public Health, Hubert Department of Global Health, Atlanta, GA, USA
| | - Damen Hailemariam
- Addis Ababa University, College of Health Sciences, School of Public Health, Addis Ababa, Ethiopia
| | - Cam Escoffery
- Emory University, Rollins School of Public Health, Department of Behavioral, Social, and Health Education Sciences, Atlanta, GA, USA
| | - Yimtubezinash Woldeamanuel
- Addis Ababa University, College of Health Sciences, Center for Innovative Drug Development and Therapeutic Trials for Africa (CDT-Africa), Addis Ababa, Ethiopia
| | - Nardos Makonnen
- University of Virginia, School of Medicine, Department of Emergency Medicine, Charlottesville, VA, USA
| | - Samrawit Solomon
- St. Paul's Hospital Millennium Medical College, School of Public Health, Addis Ababa, Ethiopia
| | - Wondwossen Amogne
- Addis Ababa University, College of Health Sciences, Addis Ababa, Ethiopia
| | - Vincent C Marconi
- Emory University School of Medicine and Rollins School of Public Health, Atlanta, GA, USA
| | - Abebaw Fekadu
- Addis Ababa University, College of Health Sciences, Center for Innovative Drug Development and Therapeutic Trials for Africa (CDT-Africa), Addis Ababa, Ethiopia
| |
Collapse
|
43
|
Galindo RJ, Inselman SA, Umpierrez GE, Moazzami B, Munoz Mendoza J, Ali MK, Tuttle KR, McCoy RG. National Trends in Glucagon Prescriptions Among U.S. Adults With Diabetes and End-Stage Kidney Disease Treated by Dialysis: 2013-2017. Diabetes Care 2023:148888. [PMID: 37167455 PMCID: PMC10300513 DOI: 10.2337/dc23-0554] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Accepted: 03/30/2023] [Indexed: 05/13/2023]
Affiliation(s)
- Rodolfo J Galindo
- Division of Endocrinology, University of Miami Miller School of Medicine, Miami, FL
| | - Shealeigh A Inselman
- Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN
| | | | - Bobak Moazzami
- Division of Endocrinology, Emory University School of Medicine, Atlanta, GA
| | - Jair Munoz Mendoza
- Katz Family Division of Nephrology and Hypertension, University of Miami Miller School of Medicine, Miami, FL
| | - Mohammed K Ali
- Department of Family and Preventive Medicine, Emory University School of Medicine, Atlanta, GA
| | - Katherine R Tuttle
- Division of Nephrology, Kidney Research Institute, and Institute of Translational Health Sciences, University of Washington, Seattle, WA
- Providence Medical Research Center, Providence Inland Northwest Health, Spokane, WA
| | - Rozalina G McCoy
- Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN
- Division of Community Internal Medicine, Geriatrics, and Palliative Care, Department of Medicine, Mayo Clinic, Rochester, MN
| |
Collapse
|
44
|
Alam F, Ali MK, Patel SA, Iqbal R. Concordance of weight status between mothers and children: A secondary analysis of the Pakistan Demographic and Health Survey VII. medRxiv 2023:2023.05.04.23289509. [PMID: 37205423 PMCID: PMC10187450 DOI: 10.1101/2023.05.04.23289509] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
Abstract
Familial concordance of nutritional status is an emerging field of study that may guide the development of interventions that operate beyond the individual and within the family context. Little published data exist for concordance of nutritional status within Pakistani households. We assessed the associations between weight status of mothers and their children in a nationally representative sample of households in Pakistan using Demographic and Health Survey data. Our analysis included 3465 mother-child dyads, restricting to children under-five years of age with body mass index (BMI) information on their mothers. We used linear regression models to assess the associations between maternal BMI category (underweight, normal weight, overweight, obese) and child's weight-for-height z-score (WHZ), accounting for socio-demographic characteristics of mothers and children. We assessed these relationships in all children under-five and also stratified by age of children (younger than 2 years and 2 to 5 years). In all children under-five and in children 2 to 5 years, maternal BMI was positively associated with child's WHZ, while there was no association between maternal BMI and child WHZ for children under-two. The findings indicate that the weight status of mother's is positively associated with that of their children. These associations have implications for interventions aimed at healthy weights of families.
Collapse
Affiliation(s)
- Faiz Alam
- Yale School of Public Health, Yale University, New Haven, Connecticut, United States of America
- School of Medicine, Emory University, Atlanta, Georgia, United States of America
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, United States of America
| | - Mohammed K. Ali
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, United States of America
- Department of Family and Preventive Medicine, School of Medicine, Emory University, Atlanta, Georgia, United States of America
- Global Diabetes Research Center, Woodruff Health Sciences Center, Emory University, Atlanta, Georgia, United States of America
| | - Shivani A. Patel
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, United States of America
- Global Diabetes Research Center, Woodruff Health Sciences Center, Emory University, Atlanta, Georgia, United States of America
| | - Romaina Iqbal
- Department of Community Health Sciences, Aga Khan University, Karachi, Sindh, Pakistan
| |
Collapse
|
45
|
Turbow SD, Ali MK, Culler SD, Rask KJ, Perkins MM, Clevenger CK, Vaughan CP. Association of Fragmented Readmissions and Electronic Information Sharing With Discharge Destination Among Older Adults. JAMA Netw Open 2023; 6:e2313592. [PMID: 37191959 PMCID: PMC10189568 DOI: 10.1001/jamanetworkopen.2023.13592] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Accepted: 03/31/2023] [Indexed: 05/17/2023] Open
Abstract
Importance When an older adult is hospitalized, where they are discharged is of utmost importance. Fragmented readmissions, defined as readmissions to a different hospital than a patient was previously discharged from, may increase the risk of a nonhome discharge for older adults. However, this risk may be mitigated via electronic information exchange between the admission and readmission hospitals. Objective To determine the association of fragmented hospital readmissions and electronic information sharing with discharge destination among Medicare beneficiaries. Design, Setting, and Participants This cohort study retrospectively examined data from Medicare beneficiaries hospitalized for acute myocardial infarction, congestive heart failure, chronic obstructive pulmonary disease, syncope, urinary tract infection, dehydration, or behavioral issues in 2018 and their 30-day readmission for any reason. The data analysis was completed between November 1, 2021, and October 31, 2022. Exposures Same hospital vs fragmented readmissions and presence of the same health information exchange (HIE) at the admission and readmission hospitals vs no information shared between the admission and readmission hospitals. Main Outcomes and Measures The main outcome was discharge destination following the readmission, including home, home with home health, skilled nursing facility (SNF), hospice, leaving against medical advice, or dying. Outcomes were examined for beneficiaries with and without Alzheimer disease using logistic regressions. Results The cohort included 275 189 admission-readmission pairs, representing 268 768 unique patients (mean [SD] age, 78.9 [9.0] years; 54.1% female and 45.9% male; 12.2% Black, 82.1% White, and 5.7% other race and ethnicity). Of the 31.6% fragmented readmissions in the cohort, 14.3% occurred at hospitals that shared an HIE with the admission hospital. Beneficiaries with same hospital/nonfragmented readmissions tended to be older (mean [SD] age, 78.9 [9.0] vs 77.9 [8.8] for fragmented with same HIE and 78.3 [8.7] years for fragmented without HIE; P < .001). Fragmented readmissions were associated with 10% higher odds of discharge to an SNF (adjusted odds ratio [AOR], 1.10; 95% CI, 1.07-1.12) and 22% lower odds of discharge home with home health (AOR, 0.78; 95% CI, 0.76-0.80) compared with same hospital/nonfragmented readmissions. When the admission and readmission hospital shared an HIE, beneficiaries had 9% to 15% higher odds of discharge home with home health (patients without Alzheimer disease: AOR, 1.09 [95% CI, 1.04-1.16]; patients with Alzheimer disease: AOR, 1.15 [95% CI, 1.01-1.32]) compared with fragmented readmissions where information sharing was not available. Conclusions and Relevance In this cohort study of Medicare beneficiaries with 30-day readmissions, whether a readmission is fragmented was associated with discharge destination. Among fragmented readmissions, shared HIE across admission and readmission hospitals was associated with higher odds of discharge home with home health. Efforts to study the utility of HIE for care coordination for older adults should be pursued.
Collapse
Affiliation(s)
- Sara D. Turbow
- Division of General Internal Medicine, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia
- Department of Family and Preventive Medicine, Emory University School of Medicine, Atlanta, Georgia
| | - Mohammed K. Ali
- Department of Family and Preventive Medicine, Emory University School of Medicine, Atlanta, Georgia
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - Steven D. Culler
- Department of Health Policy and Management, Rollins School of Public Health, Emory University, Atlanta, Georgia
| | | | - Molly M. Perkins
- Division of Geriatrics and Gerontology, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia
| | | | - Camille P. Vaughan
- Division of Geriatrics and Gerontology, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia
- Department of Veterans Affairs, Birmingham/Atlanta Geriatric Research Education and Clinical Center, Atlanta, Georgia
| |
Collapse
|
46
|
Wetzel S, Geldsetzer P, Mani SS, Gupta A, Singh K, Ali MK, Prabhakaran D, Tandon N, Sudharsanan N. Changing socioeconomic and geographic gradients in cardiovascular disease risk factors among Indians aged 15-49 years - evidence from nationally representative household surveys. Lancet Reg Health Southeast Asia 2023; 12:100188. [PMID: 37384058 PMCID: PMC10305936 DOI: 10.1016/j.lansea.2023.100188] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Revised: 03/21/2023] [Accepted: 03/23/2023] [Indexed: 06/30/2023]
Abstract
Background Cardiovascular diseases (CVDs) are the leading cause of death in most low- and middle-income countries (LMICs). CVDs and their metabolic risk factors have historically been concentrated among urban residents with higher socioeconomic status (SES) in LMICs such as India. However, as India develops, it is unclear whether these socioeconomic and geographic gradients will persist or change. Understanding these social dynamics in CVD risk is essential for mitigating the rising burden of CVDs and to reach those with the greatest needs. Methods Using nationally representative data with biomarker measurements from the fourth (2015-16) and fifth (2019-21) Indian National Family and Health Surveys, we investigated trends in the prevalence of four CVD risk factors: smoking (self-reported), unhealthy weight (BMI ≥25 kgm2), diabetes (random plasma glucose concentration ≥200 mg/dL or self-reported diabetes), and hypertension (one of: average systolic blood pressure ≥140 mmHg, average diastolic blood pressure ≥90 mmHg, self-reported past diagnosis, or self-reported current antihypertensive medication use) among adults aged 15-49 years. We first described changes at the national level and then trends stratified by place of residence (urban versus rural), geographic region (northern, northeastern, central, eastern, western, southern), regional level of development (Empowered Action Group member state or not), and two measures of socioeconomic status: level of education (no education, primary incomplete, primary complete, secondary incomplete, secondary complete, higher) and wealth (quintiles). Findings Unhealthy weight increased among all social and geographic groups but both the absolute and the relative changes were substantially higher among people with low SES (as measured by education or wealth) and in rural areas. For diabetes and hypertension, the prevalence increased for those from disadvantaged groups while staying constant or even decreasing among the wealthier and more educated. In contrast, smoking consumption declined for all social and geographic groups. Interpretation In 2015-16, CVD risk factors were higher among more advantaged subpopulations in India. However, between 2015-16 and 2019-21, the prevalence of these risk factors grew more rapidly for less wealthy and less educated subpopulations and those living in rural areas. These trends have resulted in CVD risk becoming far more widespread throughout the population; CVD can no longer be characterized as a wealthy urban phenomenon. Funding This work was supported by the Alexander von Humboldt Foundation (grant received by NS); the Stanford Diabetes Research Center [grant received by PG] and the Chan Zuckerberg Biohub [grant received by PG].
Collapse
Affiliation(s)
- Sarah Wetzel
- Heidelberg Institute of Global Health, Heidelberg University, Heidelberg, Germany
| | - Pascal Geldsetzer
- Division of Primary Care and Population Health, Department of Medicine, Stanford University, Stanford, CA, USA
- Chan Zuckerberg Biohub, San Francisco, CA, USA
| | - Sneha Sarah Mani
- Graduate Group in Demography, University of Pennsylvania, PA, USA
| | - Aashish Gupta
- Harvard Center for Population and Development Studies, Harvard T.H. Chan School of Public Health, Harvard University, MA, USA
| | - Kavita Singh
- Heidelberg Institute of Global Health, Heidelberg University, Heidelberg, Germany
- Centre for Chronic Conditions and Injuries, Public Health Foundation of India, Gurugram, Haryana, India
| | - Mohammed K. Ali
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
- Department of Family and Preventive Medicine, School of Medicine, Emory University, Atlanta, GA, USA
| | - Dorairaj Prabhakaran
- Centre for Chronic Disease Control, India
- Public Health Foundation of India, India
| | - Nikhil Tandon
- Department of Endocrinology and Metabolism, All India Institute of Medical Sciences, India
| | - Nikkil Sudharsanan
- Heidelberg Institute of Global Health, Heidelberg University, Heidelberg, Germany
- Behavioral Science for Disease Prevention and Health Care, Technical University of Munich, Munich, Germany
| |
Collapse
|
47
|
Sharma N, Chopra M, Bauld L, Nazar GP, Joshi N, Chugh A, Mohan S, Mohan D, Ali MK, Mohan V, Tandon N, Venkat Narayan KM, Srinath Reddy K, Prabhakaran D, Arora M. Impact of a tobacco sales ban on the frequency of tobacco consumption in India during the COVID-19 pandemic. Tob Induc Dis 2023; 21:51. [PMID: 37123348 PMCID: PMC10141826 DOI: 10.18332/tid/161855] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Revised: 02/15/2023] [Accepted: 03/03/2023] [Indexed: 05/02/2023] Open
Abstract
INTRODUCTION Measures to address the COVID-19 pandemic in India included a ban on the sale and use of tobacco products during 2020 when stay at home guidance (lockdown) was in place. In this study we examined the extent of reduction in frequency of tobacco consumption across all products. METHODS Telephone survey was conducted between July and August 2020 across an existing cohort of tobacco users (n=801) residing in Delhi (55.4%) and Chennai (44.6%), India. The participants were recruited irrespective of their gender and use of any kind of tobacco product(s). The survey questionnaire was based on the STOP (Studying Tobacco users Of Pakistan) survey and adapted to the context of smoking and smokeless tobacco use in India. RESULTS Cigarette consumption declined from a median value of 5.0 (IQR: 2-10) sticks in the pre-lockdown period to 2.0 (IQR: 0.4-5) sticks during the lockdown period. Reductions were reported in the daily use of bidis, from 8 (IQR: 4-12) sticks to 5 (IQR: 2-10) sticks and for smokeless tobacco users from 3.5 (IQR: 2-5) packs to 2 (IQR: 1-4) packs during the lockdown. Furthermore, the number of daily cigarette smokers in our cohort decreased from 32.6% (n=261) in the pre-lockdown period to 27.5% (n=220) during lockdown and smokeless tobacco users decreased from 35.8% (n=287) in pre-lockdown period to 30.3% (n=243) during the lockdown period. CONCLUSIONS The decrease in tobacco use can be attributed to various societal and environmental factors. However, the pandemic-linked lockdown provided an opportune condition to reduce the use of tobacco products, which could be due to restricted access and increase in health awareness during the COVID-19 lockdown.
Collapse
Affiliation(s)
- Nitika Sharma
- Health Related Information Dissemination Amongst Youth, New Delhi, India
| | - Mansi Chopra
- Health Related Information Dissemination Amongst Youth, New Delhi, India
| | - Linda Bauld
- Usher Institute, University of Edinburgh, Edinburgh, United Kingdom
- SPECTRUM Consortium, University of Edinburgh, Edinburgh, United Kingdom
| | - Gaurang P. Nazar
- Health Related Information Dissemination Amongst Youth, New Delhi, India
- Public Health Foundation of India, Gurugram, India
| | - Nishigandha Joshi
- Health Related Information Dissemination Amongst Youth, New Delhi, India
| | - Aastha Chugh
- Health Related Information Dissemination Amongst Youth, New Delhi, India
| | - Sailesh Mohan
- Public Health Foundation of India, Gurugram, India
- Centre for Chronic Disease Control, New Delhi, India
| | - Deepa Mohan
- Madras Diabetes Research Foundation, Chennai, India
| | - Mohammed K. Ali
- Rollins School of Public Health, Emory University, Atlanta, United States
- Emory Global Diabetes Research Center, Emory University, Atlanta, United States
| | | | - Nikhil Tandon
- All India Institute of Medical Sciences, New Delhi, India
| | - K. M. Venkat Narayan
- Rollins School of Public Health, Emory University, Atlanta, United States
- Emory Global Diabetes Research Center, Emory University, Atlanta, United States
| | | | | | - Monika Arora
- Health Related Information Dissemination Amongst Youth, New Delhi, India
- Public Health Foundation of India, Gurugram, India
| |
Collapse
|
48
|
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] [What about the content of this article? (0)] [Affiliation(s)] [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.
Collapse
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
| |
Collapse
|
49
|
Tang S, Shao H, Ali MK, Zhang P. Recommended and Prevalent Use of Glucagon-like Peptide-1 Receptor Agonists and Sodium-Glucose Cotransporter-2 Inhibitors in a National Population-Based Sample. Ann Intern Med 2023; 176:582-583. [PMID: 36848654 PMCID: PMC10422868 DOI: 10.7326/m22-3051] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/01/2023] Open
Affiliation(s)
- Shichao Tang
- Division of Diabetes Translation, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Hui Shao
- Department of Family and Preventive Medicine, School of Medicine, and Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - Mohammed K Ali
- Department of Family and Preventive Medicine, School of Medicine, and Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - Ping Zhang
- Division of Diabetes Translation, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia
| |
Collapse
|
50
|
Golovaty I, Ritchie ND, Tuomilehto J, Mohan V, Ali MK, Gregg EW, Bergman M, Moin T. Two decades of diabetes prevention efforts: A call to innovate and revitalize our approach to lifestyle change. Diabetes Res Clin Pract 2023; 198:110195. [PMID: 36470316 PMCID: PMC10079599 DOI: 10.1016/j.diabres.2022.110195] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 11/07/2022] [Accepted: 11/28/2022] [Indexed: 12/12/2022]
Abstract
The impact of global diabetes prevention efforts has been modest despite the promise of landmark diabetes prevention trials nearly twenty years ago. While national and regional initiatives show potential, challenges remain to adapt large-scale strategies in the real-world that fits individuals and their communities. Additionally, the sedentary lifestyle changes during the COVID-19 pandemic and guidelines that now call for earlier screening (e.g., US Preventative Task Force) will increase the pool of eligible adults worldwide. Thus, a more adaptable, person-centered approach that expands the current toolkit is urgently needed to innovate and revitalize our approach to diabetes prevention. This review identifies key priorities to optimize the population-level delivery of diabetes prevention based on a consensus-based evaluation of the current evidence among experts in global translational programs; key priorities identified include (1) participant eligibility, (2) intervention intensity, (3) delivery components, (4) behavioral economics, (5) technology, and (6) the role of pharmacotherapy. We offer a conceptual framework for a broader, person-centered approach to better address an individual's risk, readiness, barriers, and digital competency.
Collapse
Affiliation(s)
- Ilya Golovaty
- Division of General Internal Medicine, University of Washington School of Medicine, Seattle, WA, USA; General Medicine Service, VA Puget Sound Health Care System, Seattle, WA, USA.
| | - Natalie D Ritchie
- Office of Research, Denver Health and Hospital Authority, Denver, CO. Department of Psychiatry, University of Colorado School of Medicine, Aurora, CO. University of Colorado College of Nursing, Aurora, CO, USA
| | - Jaakko Tuomilehto
- Public Health Promotion Unit, Finnish Institute for Health and Welfare, Helsinki, Finland; Department of Public Health, University of Helsinki, Helsinki, Finland; Saudi Diabetes Research Group, King Abdulaziz University Jeddah, Saudi Arabia; Department of International Health, National School of Public Health, Instituto de Salud Carlos III. Madrid, Spain
| | - Viswanathan Mohan
- Madras Diabetes Research Foundation & Chairman, Dr. Mohan's Diabetes Specialties Centre, Chennai, India
| | - Mohammed K Ali
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA; Department of Family and Preventive Medicine, School of Medicine, Emory University, Atlanta, GA, USA; Division of Diabetes Translation, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Edward W Gregg
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Michael Bergman
- Division of Endocrinology and Metabolism, Department of Medicine and of Population Health, New York University Grossman School of Medicine, New York, NY, USA
| | - Tannaz Moin
- David Geffen School of Medicine, University of California, Los Angeles, CA, USA; VA Greater Los Angeles Health System and HSR&D Center for the Study of Healthcare Innovation, Implementation & Policy, Los Angeles, CA, USA
| |
Collapse
|