Using a summary measure for multiple quality indicators in primary care: the Summary QUality InDex (SQUID)

BACKGROUND: Assessing the quality of primary care is becoming a priority in national healthcare agendas. Audit and feedback on healthcare quality performance indicators can help improve the quality of care provided. In some instances, fewer numbers of more comprehensive indicators may be preferable. This paper describes the use of the Summary Quality Index (SQUID) in tracking quality of care among patients and primary care practices that use an electronic medical record (EMR). All practices are part of the Practice Partner Research Network, representing over 100 ambulatory care practices throughout the United States. METHODS: The SQUID is comprised of 36 process and outcome measures, all of which are obtained from the EMR. This paper describes algorithms for the SQUID calculations, various statistical properties, and use of the SQUID within the context of a multi-practice quality improvement (QI) project. RESULTS: At any given time point, the patient-level SQUID reflects the proportion of recommended care received, while the practice-level SQUID reflects the average proportion of recommended care received by that practice's patients. Using quarterly reports, practice- and patient-level SQUIDs are provided routinely to practices within the network. The SQUID is responsive, exhibiting highly significant (p < 0.0001) increases during a major QI initiative, and its internal consistency is excellent (Cronbach's alpha = 0.93). Feedback from physicians has been extremely positive, providing a high degree of face validity. CONCLUSION: The SQUID algorithm is feasible and straightforward, and provides a useful QI tool. Its statistical properties and clear interpretation make it appealing to providers, health plans, and researchers

Impact of clinical pharmacist intervention on diabetes related quality-of-life in an ambulatory care clinic.

The purpose of this one-year observational study was to evaluate quality of life in patients at the Medical University of South Carolina Family Medicine clinic who were followed by a clinical pharmacist diabetes educator. Methods: Patients who have been seen by the clinical pharmacist for diabetes education and management services were contacted by telephone and asked to complete a previously validated Diabetes-related Quality of Life (DRQL) survey. In addition, the patient¿s most recent hemoglobin A1C, blood pressure, fasting lipid panel and aspirin use were obtained from the electronic medical record. Correlation and logistic regression analysis was completed in order to assess the quality of life score and clinical outcomes. Results: A total of 47 patients completed the survey (37%). The median overall score was 1 (1-very satisfied; 5-very dissatisfied). Patients who were more satisfied with their current treatment tended to have lower LDL, systolic and diastolic blood pressure (BP) values (r=0.32, 0.3, 0.33; p=0.03, 0.03, 0.02). In addition, patients taking more medications were more dissatisfied with the amount of time spent managing their disease (r=0.29, p=0.04), felt more pain associated with the treatment of their disease (r=0.32, p=0.02), and were more worried that their body looked different as a result of their diabetes (r=0.32, p=0.02). Conclusion: Patients in this clinic were highly satisfied with their quality of life. The authors found that trends exist for relationships between several important clinical parameters and quality of life

Different Paths to High-Quality Care: Three Archetypes of Top-Performing Practice Sites

PURPOSE Primary care practices use different approaches in their quest for high-quality care. Previous work in the Practice Partner Research Network (PPRNet) found that improved outcomes are associated with strategies to prioritize performance, involve staff, redesign elements of the delivery system, make patients active partners in guideline adherence, and use tools embedded in the electronic medical record. The aim of this study was to examine variations in the adoption of improvements among sites achieving the best outcomes