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Importance: Process quality measure performance has improved significantly with public reporting, requiring reevaluation of process-outcome relationships and the emerging role of patient perspectives on care.Objective: To evaluate associations between heart failure patient perspectives of care and publicly reported processes and outcomes.Design: Cross-sectional study, July 2008-June 2011.Setting: US hospitals in the Press Ganey database.Participants: Heart failure inpatients.Measures: Outcomes were Hospital Compare hospital-level risk-adjusted 30-day heart failure mortality and readmissions. Predictors included Hospital Compare heart failure processes of care, a weighted process composite and Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) domains for heart failure. Hospital characteristics included volume of heart failure patients and race, health status and education.Results: Among 895 included hospitals, performance on process measures was high (median by hospital for composite, 95.6%); the median HCAHPS overall rating was 86.9. Median mortality was 11.3% and readmissions was 24.8%. No process measures were statistically significantly associated with lower mortality or readmissions in adjusted analyses. Higher ratings on HCAHPS patient perspectives of care were significantly correlated with lower readmissions in adjusted analyses, particularly those publicly reported domains conceptually related to readmissions. The magnitude was small (1.8 points higher on a 100-point scale between the highest and lowest quartiles of hospital readmissions).Conclusions: Publicly reported process quality measures were no longer associated with outcomes, but higher patient perspectives of care were associated with lower heart failure readmissions. These associations support continued reevaluation of these measures and increased emphasis on patient experience and outcomes, as planned for Value-Based Purchasing. [ABSTRACT FROM AUTHOR]

Measures of provider success are the centerpiece of quality improvement and pay-for-performance programs around the globe. In most nations, these measures are derived from administrative records, paper charts and consumer surveys; increasingly, electronic patient record systems are also being used. We use the term ‘e-QMs’ to describe quality measures that are based on data found within electronic health records and other related health information technology (HIT). We offer a framework or typology for e-QMs and describe opportunities and impediments associated with the transition from old to new data sources. If public and private systems of care are to effectively use HIT to support and evaluate health-care system quality and safety, the quality measurement field must embrace new paradigms and strategically address a series of technical, conceptual and practical challenges. [ABSTRACT FROM AUTHOR]