Brandon M Smith, Christine L Kuryla, Nicole A Shilkofski, Helen K Hughes, Noah J Wheeler, Megan M Tschudy, Barry S Solomon, Julia M Kim
{"title":"居民对连续性诊所患者指标的看法与EHR数据不同:人口健康仪表板的试点使用。","authors":"Brandon M Smith, Christine L Kuryla, Nicole A Shilkofski, Helen K Hughes, Noah J Wheeler, Megan M Tschudy, Barry S Solomon, Julia M Kim","doi":"10.1097/QMH.0000000000000391","DOIUrl":null,"url":null,"abstract":"<p><strong>Background and objectives: </strong>Population health management (PHM) dashboards using electronic health record (EHR) data can teach trainees about the population they serve while also delivering data on their clinical practice. Yet, few studies have demonstrated their use. In this pilot study, we assessed baseline resident perceptions of population health metrics for continuity clinic panels by comparing resident estimates with EHR-reported values delivered by individualized PHM dashboards.</p><p><strong>Methods: </strong>A descriptive, comparative study was conducted at a primary continuity clinic site for pediatric residents in January 2018. Residents were surveyed about population health metrics for their patient panels, including demographics, utilization, and medical diagnoses. We compared resident estimates to corresponding EHR-reported values using 2-tailed paired t tests.</p><p><strong>Results: </strong>A total of 42 out of 55 eligible residents (76%) completed the survey. Compared with EHR-reported values, residents estimated higher percentages of emergency department utilization (22.1% vs 10.3%, P < .01) and morbidity, including medical complexity (15.6% vs 5.9%, P < .01), overweight (38.1% vs 11.7%, P < .01), obesity (20.5% vs 15.8%, P = .02), and asthma (34.6% vs 21.4%, P < .01).</p><p><strong>Conclusions: </strong>In this pilot study of PHM dashboards, resident perceptions of continuity clinic population health metrics did not align with EHR data. Estimates were higher for measures of utilization and morbidity. PHM dashboards may help trainees better understand their patient populations and serve as a consistent source of objective practice data. However, further research and investment is needed to evaluate dashboard implementation and impact on trainee and patient outcomes.</p>","PeriodicalId":20986,"journal":{"name":"Quality Management in Health Care","volume":null,"pages":null},"PeriodicalIF":1.2000,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Resident Perceptions of Continuity Clinic Patient Metrics Differ From EHR Data: Pilot Use of Population Health Dashboards.\",\"authors\":\"Brandon M Smith, Christine L Kuryla, Nicole A Shilkofski, Helen K Hughes, Noah J Wheeler, Megan M Tschudy, Barry S Solomon, Julia M Kim\",\"doi\":\"10.1097/QMH.0000000000000391\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background and objectives: </strong>Population health management (PHM) dashboards using electronic health record (EHR) data can teach trainees about the population they serve while also delivering data on their clinical practice. Yet, few studies have demonstrated their use. In this pilot study, we assessed baseline resident perceptions of population health metrics for continuity clinic panels by comparing resident estimates with EHR-reported values delivered by individualized PHM dashboards.</p><p><strong>Methods: </strong>A descriptive, comparative study was conducted at a primary continuity clinic site for pediatric residents in January 2018. Residents were surveyed about population health metrics for their patient panels, including demographics, utilization, and medical diagnoses. We compared resident estimates to corresponding EHR-reported values using 2-tailed paired t tests.</p><p><strong>Results: </strong>A total of 42 out of 55 eligible residents (76%) completed the survey. Compared with EHR-reported values, residents estimated higher percentages of emergency department utilization (22.1% vs 10.3%, P < .01) and morbidity, including medical complexity (15.6% vs 5.9%, P < .01), overweight (38.1% vs 11.7%, P < .01), obesity (20.5% vs 15.8%, P = .02), and asthma (34.6% vs 21.4%, P < .01).</p><p><strong>Conclusions: </strong>In this pilot study of PHM dashboards, resident perceptions of continuity clinic population health metrics did not align with EHR data. Estimates were higher for measures of utilization and morbidity. PHM dashboards may help trainees better understand their patient populations and serve as a consistent source of objective practice data. However, further research and investment is needed to evaluate dashboard implementation and impact on trainee and patient outcomes.</p>\",\"PeriodicalId\":20986,\"journal\":{\"name\":\"Quality Management in Health Care\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.2000,\"publicationDate\":\"2023-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Quality Management in Health Care\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1097/QMH.0000000000000391\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2022/12/8 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q4\",\"JCRName\":\"HEALTH CARE SCIENCES & SERVICES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Quality Management in Health Care","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1097/QMH.0000000000000391","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2022/12/8 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
Resident Perceptions of Continuity Clinic Patient Metrics Differ From EHR Data: Pilot Use of Population Health Dashboards.
Background and objectives: Population health management (PHM) dashboards using electronic health record (EHR) data can teach trainees about the population they serve while also delivering data on their clinical practice. Yet, few studies have demonstrated their use. In this pilot study, we assessed baseline resident perceptions of population health metrics for continuity clinic panels by comparing resident estimates with EHR-reported values delivered by individualized PHM dashboards.
Methods: A descriptive, comparative study was conducted at a primary continuity clinic site for pediatric residents in January 2018. Residents were surveyed about population health metrics for their patient panels, including demographics, utilization, and medical diagnoses. We compared resident estimates to corresponding EHR-reported values using 2-tailed paired t tests.
Results: A total of 42 out of 55 eligible residents (76%) completed the survey. Compared with EHR-reported values, residents estimated higher percentages of emergency department utilization (22.1% vs 10.3%, P < .01) and morbidity, including medical complexity (15.6% vs 5.9%, P < .01), overweight (38.1% vs 11.7%, P < .01), obesity (20.5% vs 15.8%, P = .02), and asthma (34.6% vs 21.4%, P < .01).
Conclusions: In this pilot study of PHM dashboards, resident perceptions of continuity clinic population health metrics did not align with EHR data. Estimates were higher for measures of utilization and morbidity. PHM dashboards may help trainees better understand their patient populations and serve as a consistent source of objective practice data. However, further research and investment is needed to evaluate dashboard implementation and impact on trainee and patient outcomes.
期刊介绍:
Quality Management in Health Care (QMHC) is a peer-reviewed journal that provides a forum for our readers to explore the theoretical, technical, and strategic elements of health care quality management. The journal''s primary focus is on organizational structure and processes as these affect the quality of care and patient outcomes. In particular, it:
-Builds knowledge about the application of statistical tools, control charts, benchmarking, and other devices used in the ongoing monitoring and evaluation of care and of patient outcomes;
-Encourages research in and evaluation of the results of various organizational strategies designed to bring about quantifiable improvements in patient outcomes;
-Fosters the application of quality management science to patient care processes and clinical decision-making;
-Fosters cooperation and communication among health care providers, payers and regulators in their efforts to improve the quality of patient outcomes;
-Explores links among the various clinical, technical, administrative, and managerial disciplines involved in patient care, as well as the role and responsibilities of organizational governance in ongoing quality management.