AI Article Synopsis

  • The National Quality Forum (NQF) assesses healthcare performance measures using various criteria, with most measures being overseen by federal agencies and evaluated for maintenance and effectiveness.
  • A significant portion of measures include patient advocates in the review process, and while many were endorsed, the support from committee members was generally moderate concerning their validity, reliability, and effectiveness in addressing performance gaps.
  • There is a need for improved methods in evaluating measure reliability and validity, as well as better representation of diverse stakeholder viewpoints and social factors in risk adjustment processes.

Article Abstract

The National Quality Forum (NQF) evaluates healthcare performance measures for endorsement based on a broad set of criteria. We extracted data from NQF technical reports released between spring 2018 and spring 2019. Measures were commonly stewarded by federal agencies (44.29%), evaluated for maintenance (67.14%), classified as outcome (42.14%) or process (39.29%) measures, and used a statistical model for risk adjustment (48.57%). For 80% of the measures reviewed, a patient advocate was present on the reviewing committee. Validity was evaluated using face validity (65.00%) or score-level empirical validity (67.14%), and reliability was frequently evaluated using score-level testing (71.43%). Although 91.56% of all reviewed measures were endorsed, most standing committee members voted moderate rather than high support on key assessment criteria like measure validity, measure reliability, feasibility of use, and whether the measure addresses a key performance gap. Results show that although the Consensus Development Process includes multidisciplinary stakeholder input and thorough evaluations of measures, continued work to identify and describe appropriate and robust methods for reliability and validity testing is needed. Further work is needed to study the extent to which stakeholder input is truly representative of diverse viewpoints and improve processes for considering social factors when risk adjusting.

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http://dx.doi.org/10.1097/JHQ.0000000000000378DOI Listing

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