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Buffel V, Danhieux K, Bos P, Remmen R, Van Olmen J, Wouters E. Development and operationalization of a data framework to assess quality of integrated diabetes care in the fragmented data landscape of Belgium. BMC Health Serv Res 2022; 22:1257. [PMID: 36253775 PMCID: PMC9578257 DOI: 10.1186/s12913-022-08625-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Accepted: 09/30/2022] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND To assess the quality of integrated diabetes care, we should be able to follow the patient throughout the care path, monitor his/her care process and link them to his/her health outcomes, while simultaneously link this information to the primary care system and its performance on the structure and organization related quality indicators. However the development process of such a data framework is challenging, even in period of increasing and improving health data storage and management. This study aims to develop an integrated multi-level data framework for quality of diabetes care and to operationalize this framework in the fragmented Belgium health care and data landscape. METHODS Based on document reviews, iterative working group discussions and expert consultations, theoretical approaches and quality indicators were identified and assessed. After mapping and assessing the validity of existing health information systems and available data sources through expert consultations, the theoretical framework was translated in a data framework with measurable quality indicators. The construction of the data base included sampling procedures, data-collection, and several technical and privacy-related aspects of linking and accessing Belgian datasets. RESULTS To address three dimensions of quality of care, we integrated the chronic care model and cascade of care approach, addressing respectively the structure related quality indicators and the process and outcome related indicators. The corresponding data framework is based on self-collected data at the primary care practice level (using the Assessment of quality of integrated care tool), and linked health insurance data with lab data at the patient level. CONCLUSION In this study, we have described the transition of a theoretical quality of care framework to a unique multilevel database, which allows assessing the quality of diabetes care, by considering the complete care continuum (process and outcomes) as well as organizational characteristics of primary care practices.
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Affiliation(s)
- Veerle Buffel
- Department of Sociology, University of Antwerp, Antwerp, Belgium.
| | - Katrien Danhieux
- Department of family medicine and population health, University of Antwerp, Antwerp, Belgium
| | - Philippe Bos
- Department of Sociology, University of Antwerp, Antwerp, Belgium
| | - Roy Remmen
- Department of family medicine and population health, University of Antwerp, Antwerp, Belgium
| | - Josefien Van Olmen
- Department of family medicine and population health, University of Antwerp, Antwerp, Belgium
| | - Edwin Wouters
- Department of Sociology, University of Antwerp, Antwerp, Belgium
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Carinci F, Štotl I, Cunningham SG, Poljicanin T, Pristas I, Traynor V, Olympios G, Scoutellas V, Azzopardi J, Doggen K, Sandor J, Adany R, Løvaas KF, Jarosz-Chobot P, Polanska J, Pruna S, de Lusignan S, Monesi M, Di Bartolo P, Scheidt-Nave C, Heidemann C, Zucker I, Maurina A, Lepiksone J, Rossing P, Arffman M, Keskimäki I, Gudbjornsdottir S, Di Iorio CT, Dupont E, de Sabata S, Klazinga N, Benedetti MM. Making Use of Comparable Health Data to Improve Quality of Care and Outcomes in Diabetes: The EUBIROD Review of Diabetes Registries and Data Sources in Europe. FRONTIERS IN CLINICAL DIABETES AND HEALTHCARE 2021; 2:744516. [PMID: 36994337 PMCID: PMC10012140 DOI: 10.3389/fcdhc.2021.744516] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Accepted: 09/08/2021] [Indexed: 12/16/2022]
Abstract
Background Registries and data sources contain information that can be used on an ongoing basis to improve quality of care and outcomes of people with diabetes. As a specific task of the EU Bridge Health project, we carried out a survey of diabetes-related data sources in Europe. Objectives We aimed to report on the organization of different sources of diabetes information, including their governance, information infrastructure and dissemination strategies for quality control, service planning, public health, policy and research. Methods Survey using a structured questionnaire to collect targeted data from a network of collaborating institutions managing registries and data sources in 17 countries in the year 2017. Results The 18 data sources participating in the study were most frequently academic centres (44.4%), national (72.2%), targeting all types of diabetes (61.1%) covering no more than 10% of the target population (44.4%). Although population-based in over a quarter of cases (27.8%), sources relied predominantly on provider-based datasets (38.5%), fewer using administrative data (16.6%). Data collection was continuous in the majority of cases (61.1%), but 50% could not perform data linkage. Public reports were more frequent (72.2%) as well as quality reports (77.8%), but one third did not provide feedback to policy and only half published ten or more peer reviewed papers during the last 5 years. Conclusions The heterogeneous implementation of diabetes registries and data sources hampers the comparability of quality and outcomes across Europe. Best practices exist but need to be shared more effectively to accelerate progress and deliver equitable results for people with diabetes.
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Affiliation(s)
- Fabrizio Carinci
- Department of Statistical Sciences, University of Bologna, Bologna, Italy
| | - Iztok Štotl
- Department of Endocrinology, Diabetes and Metabolic Diseases, University Medical Centre Ljubljana, Ljubljana, Slovenia
- Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Scott G. Cunningham
- Department of Population Health and Genomics, University of Dundee, Dundee, United Kingdom
| | - Tamara Poljicanin
- Division for Health Informatics and Biostatistics, Croatian Institute of Public Health, Zagreb, Croatia
| | - Ivan Pristas
- Division for Health Informatics and Biostatistics, Croatian Institute of Public Health, Zagreb, Croatia
| | - Vivie Traynor
- Diabetes Department, Larnaca Hospital Cyprus, Larnaca, Cyprus
| | - George Olympios
- Diabetes Department, Larnaca Hospital Cyprus, Larnaca, Cyprus
| | - Vasos Scoutellas
- Diabetes Department, Larnaca Hospital Cyprus, Larnaca, Cyprus
- Health Monitoring Unit, Ministry of Health, Nicosia, Cyprus
| | | | - Kris Doggen
- Health Services Research, Sciensano, Brussels, Belgium
| | - János Sandor
- Department of Public Health and Epidemiology, School of Health Sciences, University of Debrecen, Debrecen, Hungary
| | - Roza Adany
- Department of Public Health and Epidemiology, School of Health Sciences, University of Debrecen, Debrecen, Hungary
| | - Karianne F. Løvaas
- Norwegian Diabetes Register for Adults, Norwegian Organisation for Quality Improvement of Laboratory Examinations (Noklus), Haraldsplass Deaconess Hospital, Bergen, Norway
| | - Przemka Jarosz-Chobot
- Department of Children’s Diabetology, Medical University of Silesia, Katowice, Poland
| | - Joanna Polanska
- Department of Data Science and Engineering, The Silesian University of Technology, Gliwice, Poland
| | | | - Simon de Lusignan
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Marcello Monesi
- Diabetes Unit “Sant’Anna” Hospital Ferrara, Ferrara, Italy
- Associazione Medici Diabetologi (AMD), Rome, Italy
| | - Paolo Di Bartolo
- Associazione Medici Diabetologi (AMD), Rome, Italy
- Azienda Unità Sanitaria Locale (AUSL) Diabetes Unit Romagna, Ravenna, Italy
| | - Christa Scheidt-Nave
- Department of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany
| | - Christin Heidemann
- Department of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany
| | - Inbar Zucker
- Israel Center for Disease Control, Ministry of Health, Ramat Gan, Israel
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Anita Maurina
- Research and Health Statistics Department, Centre for Disease Prevention and Control of Latvia, Riga, Latvia
| | - Jana Lepiksone
- Research and Health Statistics Department, Centre for Disease Prevention and Control of Latvia, Riga, Latvia
| | | | - Martti Arffman
- Welfare State Research and Reform Unit, Finnish Institute for Health and Welfare (THL), Helsinki, Finland
| | - Ilmo Keskimäki
- Welfare State Research and Reform Unit, Finnish Institute for Health and Welfare (THL), Helsinki, Finland
- Faculty of Social Sciences, Tampere University, Tampere, Finland
| | - Soffia Gudbjornsdottir
- Department of Molecular and Clinical Medicine, University of Gothenburg and Sahlgrenska Hospital, Gothenburg, Sweden
| | | | - Elisabeth Dupont
- International Diabetes Federation European Region, Brussels, Belgium
| | - Stella de Sabata
- International Diabetes Federation European Region, Brussels, Belgium
| | - Niek Klazinga
- Department of Public and Occupational Health, Amsterdam UMC, Amsterdam Public Health Research Institute, Amsterdam, Netherlands
| | - Massimo Massi Benedetti
- International Diabetes Federation European Region, Brussels, Belgium
- Hub for International Health Research, Perugia, Italy
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Schunk M, Stark R, Reitmeir P, Meisinger C, Holle R. Towards patient-oriented diabetes care: results from two KORA surveys in southern Germany. J Diabetes Res 2015; 2015:368570. [PMID: 25859544 PMCID: PMC4381861 DOI: 10.1155/2015/368570] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/09/2014] [Revised: 02/22/2015] [Accepted: 02/25/2015] [Indexed: 11/18/2022] Open
Abstract
OBJECTIVE This study aims to examine the relationship of diabetes care processes and patient outcomes with an expanded set of indicators regarding patient-oriented care delivery, such as treatment satisfaction, the quality of patient-physician relationship, and a wider range of patient outcomes such as self-management, health behaviour, disease-related burden, and health-related quality of life (HRQL). METHODS The study population consisted of 486 participants with type 2 diabetes in two population-based follow-up surveys, conducted in 2003 to 2005 and 2006 to 2008 in Southern Germany. Data were self-reported and questionnaire-based, including the SF-12 for HRQL. Multiple regression models were used to identify associations between care processes and outcomes with adjustment for confounders. RESULTS Frequent medical examinations increased the likelihood of self-monitoring activities, such as foot care. A positive patient experienced relationship with their physician is associated with higher adherence to medical recommendations, such as medication intake, and the score of the SF-12 mental component. Participants with diabetes-related complications reported higher levels of medical examinations and multiprofessional care. CONCLUSIONS Indicators of patient-oriented care should become an indispensable part of diabetes clinical practice guidelines with the aim of striving for more effective support of patients.
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Affiliation(s)
- Michaela Schunk
- Institute of Health Economics and Health Care Management, Helmholtz Zentrum Munich, 85764 Neuherberg, Germany
| | - Renée Stark
- Institute of Health Economics and Health Care Management, Helmholtz Zentrum Munich, 85764 Neuherberg, Germany
| | - Peter Reitmeir
- Institute of Health Economics and Health Care Management, Helmholtz Zentrum Munich, 85764 Neuherberg, Germany
| | - Christa Meisinger
- Institute of Epidemiology II, Helmholtz Zentrum Munich, 85764 Neuherberg, Germany
- German Center for Diabetes Research (DZD e.V.), 85764 Neuherberg, Germany
| | - Rolf Holle
- Institute of Health Economics and Health Care Management, Helmholtz Zentrum Munich, 85764 Neuherberg, Germany
- German Center for Diabetes Research (DZD e.V.), 85764 Neuherberg, Germany
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Casillas A, Iglesias K, Flatz A, Burnand B, Peytremann-Bridevaux I. No consistent association between processes-of-care and health-related quality of life among patients with diabetes: a missing link? BMJ Open Diabetes Res Care 2015; 3:e000042. [PMID: 25621176 PMCID: PMC4298028 DOI: 10.1136/bmjdrc-2014-000042] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/17/2014] [Revised: 09/24/2014] [Accepted: 11/04/2014] [Indexed: 11/05/2022] Open
Abstract
PURPOSE Health-related quality of life (HRQoL) is considered a representative outcome in the evaluation of chronic disease management initiatives emphasizing patient-centered care. We evaluated the association between receipt of processes-of-care (PoC) for diabetes and HRQoL. METHODS This cross-sectional study used self-reported data from non-institutionalized adults with diabetes in a Swiss canton. Outcomes were the physical/mental composites of the short form health survey 12 (SF-12) physical composite score, mental composite score (PCS, MCS) and the Audit of Diabetes-Dependent Quality of Life (ADDQoL). Main exposure variables were receipt of six PoC for diabetes in the past 12 months, and the Patient Assessment of Chronic Illness Care (PACIC) score. We performed linear regressions to examine the association between PoC, PACIC and the three composites of HRQoL. RESULTS Mean age of the 519 patients was 64.5 years (SD 11.3); 60% were male, 87% reported type 2 or undetermined diabetes and 48% had diabetes for over 10 years. Mean HRQoL scores were SF-12 PCS: 43.4 (SD 10.5), SF-12 MCS: 47.0 (SD 11.2) and ADDQoL: -1.6 (SD 1.6). In adjusted models including all six PoC simultaneously, receipt of influenza vaccine was associated with lower ADDQoL (β=-0.4, p≤0.01) and foot examination was negatively associated with SF-12 PCS (β=-1.8, p≤0.05). There was no association or trend towards a negative association when these PoC were reported as combined measures. PACIC score was associated only with the SF-12 MCS (β=1.6, p≤0.05). CONCLUSIONS PoC for diabetes did not show a consistent association with HRQoL in a cross-sectional analysis. This may represent an effect lag time between time of process received and health-related quality of life. Further research is needed to study this complex phenomenon.
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Affiliation(s)
- Alejandra Casillas
- Institute of Social and Preventive Medicine (IUMSP), Lausanne University Hospital , Lausanne, Vaud , Switzerland
| | - Katia Iglesias
- Institute of Social and Preventive Medicine (IUMSP), Lausanne University Hospital , Lausanne, Vaud , Switzerland
| | - Aline Flatz
- Institute of Social and Preventive Medicine (IUMSP), Lausanne University Hospital , Lausanne, Vaud , Switzerland
| | - Bernard Burnand
- Institute of Social and Preventive Medicine (IUMSP), Lausanne University Hospital , Lausanne, Vaud , Switzerland
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Nicolucci A, Rossi MC, Arcangeli A, Cimino A, de Bigontina G, Fava D, Gentile S, Giorda C, Meloncelli I, Pellegrini F, Valentini U, Vespasiani G. Four-year impact of a continuous quality improvement effort implemented by a network of diabetes outpatient clinics: the AMD-Annals initiative. Diabet Med 2010; 27:1041-8. [PMID: 20722678 DOI: 10.1111/j.1464-5491.2010.03055.x] [Citation(s) in RCA: 44] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
AIMS We evaluated the impact of a continuous quality improvement effort implemented by a network of Italian diabetes clinics operating in the national healthcare system. METHODS This was a controlled before-and-after study involving 95 centres, of which 67 joined the initiative since 2004 (group A) and 18 were first involved in 2007 (group B, control). All centres used electronic medical record systems. Information on quality indicators was extracted for the period 2004-2007. Data were centrally analysed anonymously and results were published annually. Each centre's performance was ranked against the 'best performers'. We compared quality indicators between the two groups of centres over 4 years. RESULTS Over 100 000 Type 2 diabetes mellitus patients were evaluated annually. The proportion of patients with glycated haemoglobin levels < 7% increased by 6% in group A (2007-2004 difference) and by 1.3% in group B. The proportion of patients with low-density lipoprotein-cholesterol < 100 mg/dl improved by over 10% in both groups. The rate of patients with blood pressure values < or = 130/85 mmHg increased in group A (+6.4%), but not in group B (-1.4%). The use of insulin increased in group A only (+5.2%), while the use of statins increased by over 20% in both groups. CONCLUSIONS A physician-led quality improvement effort, based on the systematic evaluation of routine data, is effective in improving the performance of a large number of diabetes clinics. The small percentage increase in the number of patients at target, if applied to large numbers of patients, would translate into a significant impact on public health.
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Affiliation(s)
- A Nicolucci
- Department of Clinical Pharmacology and Epidemiology, Consorzio Mario Negri Sud, S. Maria Imbaro, Italy.
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Rathmann W, Strassburger K, Heier M, Holle R, Thorand B, Giani G, Meisinger C. Incidence of Type 2 diabetes in the elderly German population and the effect of clinical and lifestyle risk factors: KORA S4/F4 cohort study. Diabet Med 2009; 26:1212-9. [PMID: 20002472 DOI: 10.1111/j.1464-5491.2009.02863.x] [Citation(s) in RCA: 123] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
AIMS To determine the incidence of Type 2 diabetes in an elderly population in Germany and its association with clinical and lifestyle factors. METHODS Oral glucose tolerance tests (OGTT, World Health Organization criteria) were carried out in a random sample of 1353 subjects (age group 55-74 years; 62% response) in Augsburg (Southern Germany) (1999-2001). The cohort was re-investigated in 2006-2008. Of those individuals without diabetes (baseline), 887 (74%) participated in the follow-up. RESULTS Ninety-three (10.5%) developed diabetes during the 7-year follow-up period {standardized incidence rates [95% confidence interval (CI)] per 1000 person-years: total 15.5; 12.6, 19.1; men 20.2; 15.6, 26.1; women 11.3; 7.9, 16.1}. In both sexes, those who developed diabetes were slightly older, were more obese, had a more adverse metabolic profile (higher glucose values, HbA(1c), fasting insulin, uric acid, and triglycerides) and were more likely to have hypertension at baseline than were participants remaining free of diabetes (P < 0.05). On stepwise logistic regression, age, parental diabetes, body mass index, uric acid, current smoking, HbA(1c) and fasting and 2-h glucose (OGTT) were strong predictors of diabetes incidence. The risk of diabetes was higher in subjects with isolated impaired glucose tolerance (odds ratio 8.8; 95% CI 5.0, 15.6) than in isolated impaired fasting glucose (4.7; 2.2, 10.0), although the difference did not reach statistical significance. CONCLUSIONS For the first time, we have estimated the incidence of Type 2 diabetes in an elderly German cohort and demonstrated that it is among the highest in Europe. The OGTT appears to be useful in identifying individuals with high Type 2 diabetes risk. Our results support a role of smoking in the progression to diabetes.
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Affiliation(s)
- W Rathmann
- Institute of Biometrics and Epidemiology, German Diabetes Centre, Leibniz Centre for Diabetes Research at Heinrich Heine University, Düsseldorf, Germany.
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Gnavi R, Picariello R, la Karaghiosoff L, Costa G, Giorda C. Determinants of quality in diabetes care process: The population-based Torino Study. Diabetes Care 2009; 32:1986-92. [PMID: 19675196 PMCID: PMC2768191 DOI: 10.2337/dc09-0647] [Citation(s) in RCA: 50] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To investigate the role of clinical and socioeconomic variables as determinants of adherence to recommended diabetes care guidelines and assess differences in the process of care between diabetologists and general practitioners. RESEARCH DESIGN AND METHODS We identified diabetic residents in Torino, Italy, as of 31 July 2003, using multiple independent data sources. We collected data on several laboratory tests and specialist medical examinations registered during the subsequent 12 months and performed regression analyses to identify associations with quality-of-care indicators based on existing guidelines. RESULTS After 1 year, only 35.8% of patients had undergone a comprehensive assessment. In the multivariate models, factors independently and significantly associated with lower quality of care were age >or=75 years (prevalence rate ratio [PRR] 0.66 [95% CI 0.61-0.70]) and established cardiovascular disease (0.89 [0.86-0.93]). Disease severity (PRR for insulin-treated patients 1.45 [1.38-1.53]) and diabetologist consultation (PRR 3.34 [3.17-3.53]) were positively associated with high quality of care. No clear association emerged between sex and socioeconomic status. These differences were strongly reduced in patients receiving diabetologist care compared with patients receiving general practitioner care only. CONCLUSIONS Despite widespread availability of guidelines and simple screening procedures, a nonnegligible portion of the diabetic population, namely elderly individuals and patients with less severe forms of the disease, are not properly cared for. As practitioners in diabetes centers are more likely to adhere to guidelines than general practitioners, quality in the diabetes care process can be improved by increasing the intensity of disease management programs, with greater participation by general practitioners.
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Affiliation(s)
- Roberto Gnavi
- Epidemiology Unit, ASL TO3, Regione Piemonte, Grugliasco, Italy.
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