ArticleBMC public health2013
Identifying patients with chronic conditions using pharmacy data in Switzerland: an updated mapping approach to the classification of medications.
Article in BMC public health, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 122 papers.
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Who cites it
122 citing papers in PubMed, 209 citations in OpenAlex.
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- Potentially inappropriate prescribing in Iranian elderly population: a nationwide claims-based analysis.BMJ open · 2026Observational
- Characterization of orthogeriatric care models and association with mortality and health-economic outcomes in patients with hip fractures: a retrospective cohort study from Germany.BMC geriatrics · 2026Article
- Multimorbidity Clusters Among People Aged 65 Years and Over in Australia: A Nationwide Cross-Sectional Data Linkage Study.The Medical journal of Australia · 2026Article
- Discontinuation of dental care and systemic diseases of persons in need of long-term home care - an observational study from the InSEMaP project with German health insurance claims data.BMC geriatrics · 2026Observational
- Association of orthogeriatric co-management with the occurrence of secondary fragility fractures in patients with an initial hip fracture.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2026Article
- Sex Differences in Young Adult Stroke Severity Using Linked Colorado-All Payer's Claims Database and the Get With The Guidelines-Stroke Registry.Journal of the American Heart Association · 2026Article
- Antibiotic consumption and medication cost in diabetic patients: Insights from Iran health insurance organization (IHIO) claims data.PloS one · 2026Article
- Adherence to risk minimization measures for alemtuzumab use in multiple sclerosis: a drug utilization study in four European countries.Therapeutic advances in neurological disorders · 2026Article
- Identifying diseases in claims data using a machine learning approach - a case from Switzerland.Archives of public health = Archives belges de sante publique · 2025Article
- Lifetime Healthcare and Long-Term Care Costs of Heart Failure: Estimates Using Administrative Data from Hospitalized Patients in the Netherlands.PharmacoEconomics · 2025Article
- Utilization of dental services of older persons after onset of home care --- an observational study from the InSEMaP research project based on German insurance claims data.BMC geriatrics · 2025Observational
- Using Medication Dispensation Data to Identify Clusters with Similar Prescribing Patterns in Older Adults Living with Dementia.Drugs & aging · 2025Article
- Characterizing a heterogeneous chronic patient population for redesigning person-centred bundled payment models using risk-mitigating measures.The European journal of health economics : HEPAC : health economics in prevention and care · 2025Article
- Orthogeriatric co-management and risk of rehospitalization in older patients with osteoporotic fractures: a retrospective cohort study from Germany.BMC geriatrics · 2025Article
- The effect of mental health problems on having a 'neither in employment nor in education or training' period and the mediating role of high school dropout: a register-based study with a 14-year follow-up.Journal of epidemiology and community health · 2025Article
- A decision rule algorithm for the detection of patients with hypertension using claims data.Journal of diabetes and metabolic disorders · 2025Article
- Decomposing socioeconomic differences in self-rated health and healthcare expenditure by chronic conditions and social determinants.International journal for equity in health · 2025Article
- Article
- Identifying a cohort of hospitalized chronic kidney disease patients using electronic health records: lessons learnt and implications for future research and clinical practice guidelines.Clinical kidney journal · 2025Article
62 more citing papers are in PubMed but not listed here.
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundQuantifying population health is important for public health policy. Since national disease registers recording clinical diagnoses are often not available, pharmacy data were frequently used to identify chronic conditions (CCs) in populations. However, most approaches mapping prescribed drugs to CCs are outdated and unambiguous. The aim of this study was to provide an improved and updated mapping approach to the classification of medications. Furthermore, we aimed to give an overview of the proportions of patients with CCs in Switzerland using this new mapping approach.
methodsThe database included medical and pharmacy claims data (2011) from patients aged 18 years or older. Based on prescription drug data and using the Anatomical Therapeutic Chemical (ATC) classification system, patients with CCs were identified by a medical expert review. Proportions of patients with CCs were calculated by sex and age groups. We constructed multiple logistic regression models to assess the association between patient characteristics and having a CC, as well as between risk factors (diabetes, hyperlipidemia) for cardiovascular diseases (CVD) and CVD as one of the most prevalent CCs.
resultsA total of 22 CCs were identified. In 2011, 62% of the 932'612 subjects enrolled have been prescribed a drug for the treatment of at least one CC. Rheumatologic conditions, CVD and pain were the most frequent CCs. 29% of the persons had CVD, 10% both CVD and hyperlipidemia, 4% CVD and diabetes, and 2% suffered from all of the three conditions. The regression model showed that diabetes and hyperlipidemia were strongly associated with CVD.
conclusionsUsing pharmacy claims data, we developed an updated and improved approach for a feasible and efficient measure of patients' chronic disease status. Pharmacy drug data may be a valuable source for measuring population's burden of disease, when clinical data are missing. This approach may contribute to health policy debates about health services sources and risk adjustment modelling.
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