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Quality assurance is the overarching term used to describe the activities employed to ensure the proper performance of a system. These activities can be classified into three categories: quality control, quality assessment, and internal corrective measures. Typically, these activities work cyclically: quality control is performed before and during the analysis, while quality assessment occurs during and after the investigation. Internal corrective measures are implemented based on the findings...
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Quality Measures: A Stakeholder Analysis.

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Healthcare quality measures face challenges despite increased data availability. Key issues include missing measures, poor data quality, EHR usability problems, and rising costs, necessitating stakeholder collaboration for improvement.

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Area of Science:

  • Health Services Research
  • Health Informatics
  • Quality Improvement

Background:

  • Increased availability of electronic data and tools has paradoxically led to greater confusion and discontentment regarding healthcare quality measures.
  • Existing quality measures face significant challenges impacting their effectiveness and adoption.

Purpose of the Study:

  • To examine current issues and challenges associated with healthcare quality measures.
  • To identify problems from the perspectives of four key stakeholder groups: developers, regulators/endorsers, data collectors, and consumer advocates.

Main Methods:

  • Qualitative examination of issues across diverse stakeholder groups involved in healthcare quality measurement.
  • Analysis of challenges including measure gaps, data integrity, electronic health record (EHR) usability, and measurement burden.

Main Results:

  • Identified critical issues such as missing quality measures and problems with data quality and purpose.
  • Highlighted concerns regarding the usability of electronic health records (EHRs) and the increasing burden and cost of measurement.
  • Revealed significant challenges faced by developers, regulators, data collectors, and consumer advocates.

Conclusions:

  • Collaboration among policymakers, administrators, healthcare professionals, and consumers is essential for effective quality measure development and selection.
  • Addressing the identified issues is crucial for improving the quality and utility of healthcare performance metrics.