{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,12]],"date-time":"2026-03-12T04:34:34Z","timestamp":1773290074344,"version":"3.50.1"},"reference-count":38,"publisher":"Oxford University Press (OUP)","issue":"10","license":[{"start":{"date-parts":[[2021,7,19]],"date-time":"2021-07-19T00:00:00Z","timestamp":1626652800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"name":"National Vaccine Program Office, Department of Health and Human Services","award":["HHSP233201700024C"],"award-info":[{"award-number":["HHSP233201700024C"]}]},{"name":"National Vaccine Program Office, Department of Health and Human Services","award":["HHSP233201600063C"],"award-info":[{"award-number":["HHSP233201600063C"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,9,18]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Objective<\/jats:title><jats:p>To explore the use of health plan quality measures specified for electronic clinical data to monitor immunizations.<\/jats:p><\/jats:sec><jats:sec><jats:title>Materials and Methods<\/jats:title><jats:p>We analyzed 2018 data submitted by health plans reporting 2 new Healthcare Effectiveness Data and Information Set measures assessing receipt of clinically recommended vaccines among pregnant women and adults. We analyzed the number of plans reporting a valid performance rate and electronic data source used. We consulted expert panels and reviewed coverage rates from other sources to understand the results.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>We received 136 data submissions across commercial, Medicaid and Medicare plans and 87 submissions across commercial and Medicaid plans for the adult and prenatal immunization measures, respectively. These submissions represent approximately 15% of possible submissions. Plans used claims, registries and electronic health records. Mean performance rates for adult immunizations were 21.2 (commercial), 14.0 (Medicaid) and 19.5% (Medicare). Mean rates for prenatal immunizations were 33.1 (commercial) and 16.7% (Medicaid).<\/jats:p><\/jats:sec><jats:sec><jats:title>Discussion<\/jats:title><jats:p>Results from the first year of reporting 2 electronic clinical data measures suggest health plans can feasibly report these measures and are seeking electronic data to supplement claims. Comparison of rates to other national results showed lower than expected rates for the adult immunization measure. However, prenatal immunization rates were on par with those from a national survey, suggesting this measure is closer to use for quality improvement.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>Quality measure reporting that encourages connection to electronic data sources is a step forward in performance monitoring and improvement. The use of electronic sources may advance health information exchange for patient care.<\/jats:p><\/jats:sec>","DOI":"10.1093\/jamia\/ocab125","type":"journal-article","created":{"date-parts":[[2021,6,8]],"date-time":"2021-06-08T03:22:06Z","timestamp":1623122526000},"page":"2226-2232","source":"Crossref","is-referenced-by-count":3,"title":["Harnessing electronic clinical data to report adult and prenatal immunization quality measures"],"prefix":"10.1093","volume":"28","author":[{"given":"Sepheen C","family":"Byron","sequence":"first","affiliation":[{"name":"National Committee for Quality Assurance, Washington, DC, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lindsey","family":"Roth","sequence":"additional","affiliation":[{"name":"National Committee for Quality Assurance, Washington, DC, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ryan M","family":"Acton","sequence":"additional","affiliation":[{"name":"National Committee for Quality Assurance, Washington, DC, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Angela","family":"Shen","sequence":"additional","affiliation":[{"name":"Children's Hospital of Philadelphia and the Leonard Davis Institute University of Pennsylvania, Philadelphia, Pennsylvania, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2021,7,19]]},"reference":[{"issue":"6","key":"2021091817523619400_ocab125-B1","first-page":"717","article-title":"A framework for assessing the performance of health systems","volume":"78","author":"Murray","year":"2000","journal-title":"Bull World Health Organ"},{"key":"2021091817523619400_ocab125-B2","doi-asserted-by":"crossref","first-page":"14","DOI":"10.1016\/S0749-3797(97)00032-9","article-title":"Developing a clinical performance measure","volume":"14 (Suppl 3","author":"McGlynn","year":"1998","journal-title":"Am J Prev Med"},{"key":"2021091817523619400_ocab125-B3","first-page":"I48","article-title":"Using performance measurement to drive improvement: a road map for change","volume":"41 (Suppl 1","author":"Galvin","year":"2003","journal-title":"Med Care"},{"key":"2021091817523619400_ocab125-B4","first-page":"I1","article-title":"Introduction and overview of the conceptual framework for a national quality measurement and reporting system","volume":"41 (Suppl 1","author":"McGlynn","year":"2003","journal-title":"Med Care"},{"issue":"8","key":"2021091817523619400_ocab125-B5","doi-asserted-by":"crossref","first-page":"e014825","DOI":"10.1136\/bmjopen-2016-014825","article-title":"What role does performance information play in securing improvement in healthcare? 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