Educating Future Physicians to Track Health Care Quality: Feasibility and Perceived Impact of a Health Care Quality Report Card for Medical Students

PURPOSEQuality improvement (QI) requires measurement, but medical schools rarely provide opportunities for students to measure their patient outcomes. The authors tested the feasibility and perceived impact of a quality metric report card as part of an Education-Centered Medical Home longitudinal cu...

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Veröffentlicht in:Academic Medicine 2013-10, Vol.88 (10), p.1564-1569
Hauptverfasser: O’Neill, Sean M., Henschen, Bruce L., Unger, Erin D., Jansson, Paul S., Unti, Kristen, Bortoletto, Pietro, Gleason, Kristine M., Woods, Donna M., Evans, Daniel B.
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container_end_page 1569
container_issue 10
container_start_page 1564
container_title Academic Medicine
container_volume 88
creator O’Neill, Sean M.
Henschen, Bruce L.
Unger, Erin D.
Jansson, Paul S.
Unti, Kristen
Bortoletto, Pietro
Gleason, Kristine M.
Woods, Donna M.
Evans, Daniel B.
description PURPOSEQuality improvement (QI) requires measurement, but medical schools rarely provide opportunities for students to measure their patient outcomes. The authors tested the feasibility and perceived impact of a quality metric report card as part of an Education-Centered Medical Home longitudinal curriculum. METHODStudent teams were embedded into faculty practices and assigned a panel of patients to follow longitudinally. Students performed retrospective chart reviews and reported deidentified data on 30 nationally endorsed QI metrics for their assigned patients. Scorecards were created for each clinic team. Students completed pre/post surveys on self-perceived QI skills. RESULTSA total of 405 of their patients’ charts were abstracted by 149 students (76% response rate; mean 2.7 charts/student). Median abstraction time was 21.8 (range13.1–37.1) minutes. Abstracted data confirmed that the students had successfully recruited a “high-risk” patient panel. Initial performance on abstracted quality measures ranged from 100% adherence on the use of beta-blockers in postmyocardial infarction patients to 24% on documentation of dilated diabetic eye exams. After the chart abstraction assignment, grand rounds, and background readings, student self-assessment of their perceived QI skills significantly increased for all metrics, though it remained low. CONCLUSIONSCreation of an actionable health care quality report card as part of an ambulatory longitudinal experience is feasible, and it improves student perception of QI skills. Future research will aim to use statistical process control methods to track health care quality prospectively as our students use their scorecards to drive clinic-level improvement efforts.
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The authors tested the feasibility and perceived impact of a quality metric report card as part of an Education-Centered Medical Home longitudinal curriculum. METHODStudent teams were embedded into faculty practices and assigned a panel of patients to follow longitudinally. Students performed retrospective chart reviews and reported deidentified data on 30 nationally endorsed QI metrics for their assigned patients. Scorecards were created for each clinic team. Students completed pre/post surveys on self-perceived QI skills. RESULTSA total of 405 of their patients’ charts were abstracted by 149 students (76% response rate; mean 2.7 charts/student). Median abstraction time was 21.8 (range13.1–37.1) minutes. Abstracted data confirmed that the students had successfully recruited a “high-risk” patient panel. Initial performance on abstracted quality measures ranged from 100% adherence on the use of beta-blockers in postmyocardial infarction patients to 24% on documentation of dilated diabetic eye exams. After the chart abstraction assignment, grand rounds, and background readings, student self-assessment of their perceived QI skills significantly increased for all metrics, though it remained low. CONCLUSIONSCreation of an actionable health care quality report card as part of an ambulatory longitudinal experience is feasible, and it improves student perception of QI skills. Future research will aim to use statistical process control methods to track health care quality prospectively as our students use their scorecards to drive clinic-level improvement efforts.</description><identifier>ISSN: 1040-2446</identifier><identifier>EISSN: 1938-808X</identifier><identifier>DOI: 10.1097/ACM.0b013e3182a36bb5</identifier><identifier>PMID: 23969369</identifier><language>eng</language><publisher>United States: by the Association of American Medical Colleges</publisher><subject>Ambulatory Care - standards ; Curriculum ; Education, Medical, Undergraduate - methods ; Educational Measurement - methods ; Feasibility Studies ; Humans ; Mentors ; Patient-Centered Care ; Preceptorship ; Primary Health Care ; Quality Improvement ; Students, Medical</subject><ispartof>Academic Medicine, 2013-10, Vol.88 (10), p.1564-1569</ispartof><rights>2013 by the Association of American Medical Colleges</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c3055-63c76ef897828e4c482e4903edb1a0cff4bbb351d38647ec5f85b5912f2fbc973</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23969369$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>O’Neill, Sean M.</creatorcontrib><creatorcontrib>Henschen, Bruce L.</creatorcontrib><creatorcontrib>Unger, Erin D.</creatorcontrib><creatorcontrib>Jansson, Paul S.</creatorcontrib><creatorcontrib>Unti, Kristen</creatorcontrib><creatorcontrib>Bortoletto, Pietro</creatorcontrib><creatorcontrib>Gleason, Kristine M.</creatorcontrib><creatorcontrib>Woods, Donna M.</creatorcontrib><creatorcontrib>Evans, Daniel B.</creatorcontrib><title>Educating Future Physicians to Track Health Care Quality: Feasibility and Perceived Impact of a Health Care Quality Report Card for Medical Students</title><title>Academic Medicine</title><addtitle>Acad Med</addtitle><description>PURPOSEQuality improvement (QI) requires measurement, but medical schools rarely provide opportunities for students to measure their patient outcomes. The authors tested the feasibility and perceived impact of a quality metric report card as part of an Education-Centered Medical Home longitudinal curriculum. METHODStudent teams were embedded into faculty practices and assigned a panel of patients to follow longitudinally. Students performed retrospective chart reviews and reported deidentified data on 30 nationally endorsed QI metrics for their assigned patients. Scorecards were created for each clinic team. Students completed pre/post surveys on self-perceived QI skills. RESULTSA total of 405 of their patients’ charts were abstracted by 149 students (76% response rate; mean 2.7 charts/student). Median abstraction time was 21.8 (range13.1–37.1) minutes. Abstracted data confirmed that the students had successfully recruited a “high-risk” patient panel. Initial performance on abstracted quality measures ranged from 100% adherence on the use of beta-blockers in postmyocardial infarction patients to 24% on documentation of dilated diabetic eye exams. After the chart abstraction assignment, grand rounds, and background readings, student self-assessment of their perceived QI skills significantly increased for all metrics, though it remained low. CONCLUSIONSCreation of an actionable health care quality report card as part of an ambulatory longitudinal experience is feasible, and it improves student perception of QI skills. 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The authors tested the feasibility and perceived impact of a quality metric report card as part of an Education-Centered Medical Home longitudinal curriculum. METHODStudent teams were embedded into faculty practices and assigned a panel of patients to follow longitudinally. Students performed retrospective chart reviews and reported deidentified data on 30 nationally endorsed QI metrics for their assigned patients. Scorecards were created for each clinic team. Students completed pre/post surveys on self-perceived QI skills. RESULTSA total of 405 of their patients’ charts were abstracted by 149 students (76% response rate; mean 2.7 charts/student). Median abstraction time was 21.8 (range13.1–37.1) minutes. Abstracted data confirmed that the students had successfully recruited a “high-risk” patient panel. 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source MEDLINE; Journals@Ovid LWW Legacy Archive; Alma/SFX Local Collection
subjects Ambulatory Care - standards
Curriculum
Education, Medical, Undergraduate - methods
Educational Measurement - methods
Feasibility Studies
Humans
Mentors
Patient-Centered Care
Preceptorship
Primary Health Care
Quality Improvement
Students, Medical
title Educating Future Physicians to Track Health Care Quality: Feasibility and Perceived Impact of a Health Care Quality Report Card for Medical Students
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