Measuring and Improving Evidence-Based Patient Care Using a Web-Based Gamified Approach in Primary Care (QualityIQ): Randomized Controlled Trial

被引:10
作者
Burgon, Trever [1 ]
Casebeer, Linda [2 ]
Aasen, Holly [2 ]
Valdenor, Czarlota [1 ]
Tamondong-Lachica, Diana [1 ]
de Belen, Enrico [1 ]
Paculdo, David [1 ]
Peabody, John [1 ,3 ]
机构
[1] QURE Healthcare, 450 Pacific Ave,Suite 200, San Francisco, CA 94133 USA
[2] CE Outcomes, Birmingham, AL USA
[3] Univ Calif San Francisco, Sch Med, San Francisco, CA USA
关键词
quality improvement; physician engagement; MIPS; case simulation; feedback; value-based care; care standardization; simulation; gamification; medical education; continuing education; outcome; serious game; decision-support; PHYSICIAN PERFORMANCE; HEALTH; CME; EDUCATION; OUTCOMES; ADULTS; TIME;
D O I
10.2196/31042
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Background: Unwarranted variability in clinical practice is a challenging problem in practice today, leading to poor outcomes for patients and low-value care for providers, payers, and patients. Objective: In this study, we introduced a novel tool, QualityIQ, and determined the extent to which it helps primary care physicians to align care decisions with the latest best practices included in the Merit-Based Incentive Payment System (MIPS). Methods: We developed the fully automated QualityIQ patient simulation platform with real-time evidence-based feedback and gamified peer benchmarking. Each case included workup, diagnosis, and management questions with explicit evidence-based scoring criteria. We recruited practicing primary care physicians across the United States into the study via the web and conducted a cross-sectional study of clinical decisions among a national sample of primary care physicians, randomized to continuing medical education (CME) and non-CME study arms. Physicians "cared" for 8 weekly cases that covered typical primary care scenarios. We measured participation rates, changes in quality scores (including MIPS scores), self-reported practice change, and physician satisfaction with the tool. The primary outcomes for this study were evidence-based care scores within each case, adherence to MIPS measures, and variation in clinical decision-making among the primary care providers caring for the same patient. Results: We found strong, scalable engagement with the tool, with 75% of participants (61 non-CME and 59 CME) completing at least 6 of 8 total cases. We saw significant improvement in evidence-based clinical decisions across multiple conditions, such as diabetes (+8.3%, P<.001) and osteoarthritis (+7.6%, P=.003) and with MIPS-related quality measures, such as diabetes eye examinations (+22%, P<.001), depression screening (+11%, P<.001), and asthma medications (+33%, P<.001). Although the CME availability did not increase enrollment in the study, participants who were offered CME credits were more likely to complete at least 6 of the 8 cases. Conclusions: Although CME availability did not prove to be important, the short, clinically detailed case simulations with real-time feedback and gamified peer benchmarking did lead to significant improvements in evidence-based care decisions among all practicing physicians.
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页数:12
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