The Annals of Family Medicine · 2021 · 10 citations · 33 references
NursingFamily MedicineEvidence-based PracticeHealthcare Quality ImprovementQuality ImprovementEvidence-based Practice ImplementationHealth Care Performance MeasurementHealthcare Performance MeasurementPrimary Care Quality ImprovementQuality MeasurementQuality Of CareBlood PressureClinical Care QualityClinical Quality MeasuresClinical Quality MetricsHealth Performance MeasurementPractice ImprovementPragmatic Trial DesignQuality Improvement Capacity Building
<h3>PURPOSE</h3> We undertook a study to assess whether implementing 7 evidence-based strategies to build improvement capacity within smaller primary care practices was associated with changes in performance on clinical quality measures (CQMs) for cardiovascular disease. <h3>METHODS</h3> A total of 209 practices across Washington, Oregon, and Idaho participated in a pragmatic clinical trial that focused on building quality improvement capacity as measured by a validated questionnaire, the 12-point Quality Improvement Capacity Assessment (QICA). Clinics reported performance on 3 cardiovascular CQMs—appropriate aspirin use, blood pressure (BP) control (<140/90 mm Hg), and smoking screening/cessation counseling—at baseline (2015) and follow-up (2017). Regression analyses with change in CQM as the dependent variable allowed for clustering by practice facilitator and adjusted for baseline CQM performance. <h3>RESULTS</h3> Practices improved QICA scores by 1.44 points (95% CI, 1.20-1.68; <i>P</i> <.001) from an average baseline of 6.45. All 3 CQMs also improved: aspirin use by 3.98% (average baseline = 66.8%; 95% CI for change, 1.17%-6.79%; <i>P =</i> .006); BP control by 3.36% (average baseline = 61.5%; 95% CI for change, 1.44%-5.27%; <i>P =</i> .001); and tobacco screening/cessation counseling by 7.49% (average baseline = 73.8%; 95% CI for change, 4.21%-10.77%; <i>P</i> <.001). Each 1-point increase in QICA score was associated with a 1.25% (95% CI, 0.41%-2.09%, <i>P =</i> .003) improvement in BP control; the estimated likelihood of reaching a 70% BP control performance goal was 1.24 times higher (95% CI, 1.09-1.40; <i>P</i> <.001) for each 1-point increase in QICA. <h3>CONCLUSION</h3> Improvements in clinic-level performance on BP control may be attributed to implementation of 7 evidence-based strategies to build quality improvement capacity. These strategies were feasible to implement in small practices over 15 months.
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R: A Language and Environment for Statistical Computing
R Core Team · 2000 · 353K citations · Full text
Natural Sciences, Computer Science, Statistical Computing +10
Improving Primary Care for Patients With Chronic Illness
Thomas Bodenheimer · JAMA · 2002 · 3K citations
Regression Diagnostics: Identifying Influential Data and Sources of Collinearity.
H. D. Patterson, D. A. Belsley, E. Kuh et al. · Biometrics · 1981 · 1.4K citations