Meaningfulness, feasibility, and usability of quality-of-care measures for maternal and infant health: A structured mixed-methods review
Abstract Objectives: Improving access to and quality of maternal and infant healthcare are important leverage points to address worsening maternal and infant health disparities in the USA. This study evaluates the comprehensiveness of existing maternal and infant quality-of-care measures to identi...
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| Format: | Article |
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Cambridge University Press
2025-01-01
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| Series: | Journal of Clinical and Translational Science |
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| Online Access: | https://www.cambridge.org/core/product/identifier/S2059866124006812/type/journal_article |
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| author | Ryan P. Theis Rahma S. Mkuu Hannah Marmol Lauren Silva Callie Reeder Jessica Bahorski Erica Smith John C. Smulian Tony S. Wen Amanda Redinger Tabresha Blake Elizabeth A. Shenkman Dominick J. Lemas |
| author_facet | Ryan P. Theis Rahma S. Mkuu Hannah Marmol Lauren Silva Callie Reeder Jessica Bahorski Erica Smith John C. Smulian Tony S. Wen Amanda Redinger Tabresha Blake Elizabeth A. Shenkman Dominick J. Lemas |
| author_sort | Ryan P. Theis |
| collection | DOAJ |
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Abstract
Objectives:
Improving access to and quality of maternal and infant healthcare are important leverage points to address worsening maternal and infant health disparities in the USA. This study evaluates the comprehensiveness of existing maternal and infant quality-of-care measures to identify aspects of quality that need greater attention in quality measurement.
Study design:
We conducted a structured, team-based qualitative review of 88 maternal and infant health measures indexed by the National Quality Forum (NQF), the Agency for Healthcare Research and Quality (AHRQ), the Centers for Medicare and Medicaid Services (CMS), and the National Committee for Quality Assurance (NCQA). We assessed discrete elements relevant to meaningfulness, feasibility, and usability following AHRQ National Quality Strategy (NQS) criteria, with input from researcher, clinician, and citizen scientist investigators. Descriptive statistics on coded measures were calculated using SPSS.
Results:
The most common AHRQ NQS priorities addressed were mortality (60%) and safety (48%). Average scores across elements were 59% for feasibility, 61% for practice usability, and 31% for policy usability. Fewer measures addressed coordination, affordability, or patient engagement in the postpartum period. Only 23% of measures were endorsed by NQF, only 17% of measures had publicly available benchmarks, and only 14% had specifications updated in the year prior to review.
Conclusions:
Findings from this study can inform the specification of a comprehensive, updated system for maternal and infant quality-of-care evaluation and can facilitate the development of new quality-of-care measures that address underrepresented maternal and infant health issues.
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| format | Article |
| id | doaj-art-883e5e653c63465f843ff4e505f7a4f8 |
| institution | Kabale University |
| issn | 2059-8661 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Cambridge University Press |
| record_format | Article |
| series | Journal of Clinical and Translational Science |
| spelling | doaj-art-883e5e653c63465f843ff4e505f7a4f82025-01-22T08:22:53ZengCambridge University PressJournal of Clinical and Translational Science2059-86612025-01-01910.1017/cts.2024.681Meaningfulness, feasibility, and usability of quality-of-care measures for maternal and infant health: A structured mixed-methods reviewRyan P. Theis0https://orcid.org/0000-0001-9924-6999Rahma S. Mkuu1Hannah Marmol2Lauren Silva3Callie Reeder4Jessica Bahorski5Erica Smith6John C. Smulian7Tony S. Wen8Amanda Redinger9Tabresha Blake10Elizabeth A. Shenkman11Dominick J. Lemas12https://orcid.org/0000-0001-5105-2458Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL, USA Clinical and Translational Science Institute Learning Health System Program, College of Medicine, University of Florida, Gainesville, FL, USADepartment of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL, USADepartment of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL, USADepartment of Obstetrics & Gynecology, College of Medicine, University of Florida, Gainesville, FL, USADepartment of Obstetrics & Gynecology, College of Medicine, University of Florida, Gainesville, FL, USACollege of Nursing, Florida State University, Tallahassee, FL, USADepartment of Obstetrics & Gynecology, College of Medicine, University of Florida, Gainesville, FL, USADepartment of Obstetrics & Gynecology, College of Medicine, University of Florida, Gainesville, FL, USA Center for Research in Perinatal Outcomes, University of Florida, Gainesville, FL, USADepartment of Obstetrics & Gynecology, College of Medicine, University of Florida, Gainesville, FL, USA Center for Research in Perinatal Outcomes, University of Florida, Gainesville, FL, USAClinical and Translational Science Institute Learning Health System Program, College of Medicine, University of Florida, Gainesville, FL, USAClinical and Translational Science Institute Learning Health System Program, College of Medicine, University of Florida, Gainesville, FL, USADepartment of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL, USA Clinical and Translational Science Institute Learning Health System Program, College of Medicine, University of Florida, Gainesville, FL, USADepartment of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL, USA Clinical and Translational Science Institute Learning Health System Program, College of Medicine, University of Florida, Gainesville, FL, USA Department of Obstetrics & Gynecology, College of Medicine, University of Florida, Gainesville, FL, USA Center for Research in Perinatal Outcomes, University of Florida, Gainesville, FL, USA Abstract Objectives: Improving access to and quality of maternal and infant healthcare are important leverage points to address worsening maternal and infant health disparities in the USA. This study evaluates the comprehensiveness of existing maternal and infant quality-of-care measures to identify aspects of quality that need greater attention in quality measurement. Study design: We conducted a structured, team-based qualitative review of 88 maternal and infant health measures indexed by the National Quality Forum (NQF), the Agency for Healthcare Research and Quality (AHRQ), the Centers for Medicare and Medicaid Services (CMS), and the National Committee for Quality Assurance (NCQA). We assessed discrete elements relevant to meaningfulness, feasibility, and usability following AHRQ National Quality Strategy (NQS) criteria, with input from researcher, clinician, and citizen scientist investigators. Descriptive statistics on coded measures were calculated using SPSS. Results: The most common AHRQ NQS priorities addressed were mortality (60%) and safety (48%). Average scores across elements were 59% for feasibility, 61% for practice usability, and 31% for policy usability. Fewer measures addressed coordination, affordability, or patient engagement in the postpartum period. Only 23% of measures were endorsed by NQF, only 17% of measures had publicly available benchmarks, and only 14% had specifications updated in the year prior to review. Conclusions: Findings from this study can inform the specification of a comprehensive, updated system for maternal and infant quality-of-care evaluation and can facilitate the development of new quality-of-care measures that address underrepresented maternal and infant health issues. https://www.cambridge.org/core/product/identifier/S2059866124006812/type/journal_articleMaternal and infant healthquality measurementmixed-methodsstakeholder engagementquality frameworks |
| spellingShingle | Ryan P. Theis Rahma S. Mkuu Hannah Marmol Lauren Silva Callie Reeder Jessica Bahorski Erica Smith John C. Smulian Tony S. Wen Amanda Redinger Tabresha Blake Elizabeth A. Shenkman Dominick J. Lemas Meaningfulness, feasibility, and usability of quality-of-care measures for maternal and infant health: A structured mixed-methods review Journal of Clinical and Translational Science Maternal and infant health quality measurement mixed-methods stakeholder engagement quality frameworks |
| title | Meaningfulness, feasibility, and usability of quality-of-care measures for maternal and infant health: A structured mixed-methods review |
| title_full | Meaningfulness, feasibility, and usability of quality-of-care measures for maternal and infant health: A structured mixed-methods review |
| title_fullStr | Meaningfulness, feasibility, and usability of quality-of-care measures for maternal and infant health: A structured mixed-methods review |
| title_full_unstemmed | Meaningfulness, feasibility, and usability of quality-of-care measures for maternal and infant health: A structured mixed-methods review |
| title_short | Meaningfulness, feasibility, and usability of quality-of-care measures for maternal and infant health: A structured mixed-methods review |
| title_sort | meaningfulness feasibility and usability of quality of care measures for maternal and infant health a structured mixed methods review |
| topic | Maternal and infant health quality measurement mixed-methods stakeholder engagement quality frameworks |
| url | https://www.cambridge.org/core/product/identifier/S2059866124006812/type/journal_article |
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