ArticleInternational journal of family medicine2012
The danish model for improvement of diabetes care in general practice: impact of automated collection and feedback of patient data.
Article in International journal of family medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
16 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Systematic review and narrative synthesis of computerized audit and feedback systems in healthcare.Journal of the American Medical Informatics Association : JAMIA · 2022Pooled it
- Factors influencing harmonized health data collection, sharing and linkage in Denmark and Switzerland: A systematic review.PloS one · 2019Pooled it
- The effectiveness of a semi-tailored facilitator-based intervention to optimise chronic care management in general practice: a stepped-wedge randomised controlled trial.BMC family practice · 2014Trial
- Digital solutions for decision support in general practice - a rapid review focused on systems developed for the universal healthcare setting in Denmark.BMC primary care · 2023Review
- Prevention-centered health care in Germany - a nation in need to turn the tide.European journal of epidemiology · 2023Article
- Use of electronic patient data overview with alerts in primary care increases prescribing of lipid-lowering medications in patients with type 2 diabetes.Diabetologia · 2022Article
- Evaluation of an Electronic Health Record System With a Disease Management Program and Health Care Treatment Costs for Danish Patients With Type 2 Diabetes.JAMA network open · 2020Article
- Influences of peer facilitation in general practice - a qualitative study.BMC family practice · 2018Article
- Variation in Point-of-Care Testing of HbA1c in Diabetes Care in General Practice.International journal of environmental research and public health · 2017Article
- Quality indicators for the diagnosis and antibiotic treatment of acute respiratory tract infections in general practice: a RAND Appropriateness Method.Scandinavian journal of primary health care · 2017Article
- Effects of benchmarking on the quality of type 2 diabetes care: results of the OPTIMISE (Optimal Type 2 Diabetes Management Including Benchmarking and Standard Treatment) study in Greece.Therapeutic advances in endocrinology and metabolism · 2015Article
- Association between fee-for-service expenditures and morbidity burden in primary care.The European journal of health economics : HEPAC : health economics in prevention and care · 2014Article
- Chronic-disease patients and their use of out-of-hours primary health care: a cross-sectional study.BMC family practice · 2014Article
- Primary non-adherence in general practice: a Danish register study.European journal of clinical pharmacology · 2014Article
- Multimorbidity and blood pressure control in 37 651 hypertensive patients from Danish general practice.Journal of the American Heart Association · 2012Article
- The Relationships Between Use of Quality-of-Care Feedback Reports on Chronic Diseases and Medical Engagement in General Practice.Quality management in health careArticle
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background. Sentinel Data Capture is an IT program designed to collect data automatically from GPs' electronic health record system. Data include ICPC diagnoses, National Health Service disbursement codes, laboratory analysis, and prescribed drugs. Quality feedback reports are generated individually for each practice on the basis of the accumulated data and are available online only for the specific practice. Objective. To describe the development of the quality of care concerning drug prescriptions for diabetes patients listed with GPs using the Data Capture module. Methods. In a cohort study, among 8320 registered patients with diabetes, we analyzed the change in the proportion of medication for uncontrolled cases of diabetes. Results. From 2009 to 2010, there was an absolute risk reduction of 1.35% (0.89-1.81: P < 0.001) in proportion of persons not in antidiabetic medication despite an HbA1c above 7.0. Similarly, there was a 4.51% (3.42-5.61: P < 0.001) absolute risk reduction in patients not in antihypertensive treatment despite systolic blood pressure above 130 mm Hg and 4.73% (3.56-5.90: P < 0.001) absolute risk reduction in patients with total cholesterol level above 4.5 mmol/L and not receiving lipid-lowering treatment. Conclusions. Structured collection of electronic data from general practice and feedback with reports on quality of care for diabetes patient seems to give a significant reduction in proportion of patients with no medical treatment over one year for participating GPs. Due to lack of a control group, we are, however, not able to say if the drop in the proportion of uncontrolled cases is a result of participation in collection of electronic data and feedback alone.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.