An evidence-based, structured, expert approach to selecting essential indicators of primary care quality

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dc.citation.articleNumbere0261263en_US
dc.citation.issueNumber1en_US
dc.citation.journalTitlePLOS ONEen_US
dc.citation.volumeNumber17en_US
dc.contributor.authorHysong, Sylvia J.en_US
dc.contributor.authorArredondo, Kelleyen_US
dc.contributor.authorHughes, Ashley M.en_US
dc.contributor.authorLester, Houston F.en_US
dc.contributor.authorOswald, Frederick L.en_US
dc.contributor.authorPetersen, Laura A.en_US
dc.contributor.authorWoodard, LeChauncyen_US
dc.contributor.authorPost, Edwarden_US
dc.contributor.authorDePeralta, Shellyen_US
dc.contributor.authorMurphy, Daniel R.en_US
dc.contributor.authorMcKnight, Jasonen_US
dc.contributor.authorNelson, Karinen_US
dc.contributor.authorHaidet, Paulen_US
dc.date.accessioned2022-03-24T13:31:43Zen_US
dc.date.available2022-03-24T13:31:43Zen_US
dc.date.issued2022en_US
dc.description.abstractBackground The purpose of this article is to illustrate the application of an evidence-based, structured performance measurement methodology to identify, prioritize, and (when appropriate) generate new measures of health care quality, using primary care as a case example. Primary health care is central to the health care system and health of the American public; thus, ensuring high quality is essential. Due to its complexity, ensuring high-quality primary care requires measurement frameworks that can assess the quality of the infrastructure, workforce configurations, and processes available. This paper describes the use of the Productivity Measurement and Enhancement System (ProMES) to compile a targeted set of such measures, prioritized according to their contribution and value to primary care. Methods We adapted ProMES to select and rank existing primary care measures according to value to the primary care clinic. Nine subject matter experts (SMEs) consisting of clinicians, hospital leaders and national policymakers participated in facilitated expert elicitation sessions to identify objectives of performance, corresponding measures, and priority rankings. Results The SMEs identified three fundamental objectives: access, patient-health care team partnerships, and technical quality. The SMEs also selected sixteen performance indicators from the 44 pre-vetted, currently existing measures from three different data sources for primary care. One indicator, Team 2-Day Post Discharge Contact Ratio, was selected as an indicator of both team partnerships and technical quality. Indicators were prioritized according to value using the contingency functions developed by the SMEs. Conclusion Our article provides an actionable guide to applying ProMES, which can be adapted to the needs of various industries, including measure selection and modification from existing data sources, and proposing new measures. Future work should address both logistical considerations (e.g., data capture, common data/programming language) and lingering measurement challenges, such as operationalizating measures to be meaningful and interpretable across health care settings.en_US
dc.identifier.citationHysong, Sylvia J., Arredondo, Kelley, Hughes, Ashley M., et al.. "An evidence-based, structured, expert approach to selecting essential indicators of primary care quality." <i>PLOS ONE,</i> 17, no. 1 (2022) Public Library of Science: https://doi.org/10.1371/journal.pone.0261263.en_US
dc.identifier.digitaljournal-pone-0261263en_US
dc.identifier.doihttps://doi.org/10.1371/journal.pone.0261263en_US
dc.identifier.urihttps://hdl.handle.net/1911/112050en_US
dc.language.isoengen_US
dc.publisherPublic Library of Scienceen_US
dc.rightsThis is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.en_US
dc.rights.urihttps://creativecommons.org/publicdomain/zero/1.0/en_US
dc.titleAn evidence-based, structured, expert approach to selecting essential indicators of primary care qualityen_US
dc.typeJournal articleen_US
dc.type.dcmiTexten_US
dc.type.publicationpublisher versionen_US
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