Resident Perceptions of Continuity Clinic Patient Metrics Differ From EHR Data: Pilot Use of Population Health Dashboards.

IF 1.2 4区医学 Q4 HEALTH CARE SCIENCES & SERVICES

Quality Management in Health Care Pub Date : 2023-07-01 Epub Date: 2022-12-08 DOI:10.1097/QMH.0000000000000391

Brandon M Smith, Christine L Kuryla, Nicole A Shilkofski, Helen K Hughes, Noah J Wheeler, Megan M Tschudy, Barry S Solomon, Julia M Kim

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引用次数: 0

Abstract

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.

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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。

背景和目标：使用电子健康记录（EHR）数据的人口健康管理（PHM）仪表盘可以向受训人员介绍他们所服务的人群，同时提供他们临床实践的数据。然而，很少有研究证明它们的用途。在这项试点研究中，我们通过将居民估计值与个性化PHM仪表盘提供的EHR报告值进行比较，评估了连续性诊所小组的基线居民对人口健康指标的看法。方法：2018年1月，在儿科住院医师的初级连续性诊所进行了一项描述性的比较研究。居民被调查了患者小组的人口健康指标，包括人口统计、利用率和医疗诊断。我们使用双尾配对t检验将居民估计值与相应的EHR报告值进行了比较。结果：55名符合条件的居民中，共有42人（76%）完成了调查。与EHR报告的值相比，居民估计急诊科的使用率（22.1%vs 10.3%，P<.01）和发病率（包括医疗复杂性（15.6%vs 5.9%，P<.01）、超重（38.1%vs 11.7%，P>.01）、肥胖（20.5%vs 15.8%，P=.02）和哮喘（34.6%vs 21.4%，P>.01）的百分比更高。结论：在这项PHM仪表盘的试点研究中，居民对连续性诊所人群健康指标的看法与EHR数据不一致。对利用率和发病率的估计更高。PHM仪表盘可以帮助受训者更好地了解他们的患者群体，并作为客观实践数据的一致来源。然而，还需要进一步的研究和投资来评估仪表板的实施以及对受训者和患者结果的影响。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Quality Management in Health Care HEALTH CARE SCIENCES & SERVICES-

CiteScore

1.90

自引率

8.30%

发文量

108

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.