ArticlePloS one2016
Role of Patient and Practice Characteristics in Variance of Treatment Quality in Type 2 Diabetes between General Practices.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The Role of Physician and Practice Characteristics in the Quality of Diabetes Management in Primary Care: Systematic Review and Meta-analysis.Journal of general internal medicine · 2020Pooled it
- Exploring HbA1c variation between Australian diabetes centres: The impact of centre-level and patient-level factors.PloS one · 2022Article
- Predictors of potentially suboptimal treatment of urinary tract infections in long-term care facilities.The Journal of hospital infection · 2021Article
- Article
- Clinic and patient variation in intermediate clinical outcomes for type 2 diabetes: a multilevel analysis.BMC family practice · 2019Article
- Using Electronic Health Record Activity to Represent Interdisciplinary Care Teams and Examining their Contribution to Hospital Length of Stay.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2019Article
- Treatment variation related to comorbidity and complications in type 2 diabetes: A real world analysis.Medicine · 2018Observational
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAccounting for justifiable variance is important for fair comparisons of treatment quality. The variance between general practices in treatment quality of type 2 diabetes (T2DM) patients may be attributed to the underlying patient population and practice characteristics. The objective of this study is to describe the between practice differences in treatment, and identify patient and practice level characteristics that may explain these differences.
methodsThe data of 24,607 T2DM patients from 183 general practices in the Netherlands were used. Treatment variance was assessed in a cross-sectional manner for: glucose-lowering drugs/metformin, lipid-lowering drugs/statins, blood pressure-lowering drugs/ACE-inhibitor or ARB. Patient characteristics tested were age, gender, diabetes duration, comorbidity, comedication. Practice characteristics were number of T2DM patients, practice type, diabetes assistant available. Multilevel logistic regression was used to examine the between practice variance in treatment and the effect of characteristics on this variance.
resultsTreatment rates varied considerably between practices (IQR 9.5-13.9). The variance at practice level was 7.5% for glucose-lowering drugs, 3.6% for metformin, 3.1% for lipid-lowering drugs, 10.3% for statins, 8.6% for blood pressure-lowering drugs, and 3.9% for ACE-inhibitor/ARB. Patient and practice characteristics explained 19.0%, 7.5%, 20%, 6%, 9.9%, and 13.4% of the variance respectively. Age, multiple chronic drugs, and ≥3 glucose-lowering drugs were the most relevant patient characteristics. Number of T2DM patients per practice was the most relevant practice characteristic. DISCUSSION: Considerable differences exist between practices in treatment rates. Patients' age was identified as characteristic that may account for justifiable differences in especially lipid-lowering treatment. Other patient or practice characteristics either do not explain or do not justify the differences.
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