Assessing Clinician Engagement With a Passive Clinical Decision Support System for Liver Fibrosis Risk Stratification in a Weight Management Clinic

评估体重管理诊所中临床医生对用于肝纤维化风险分层的被动式临床决策支持系统的参与度

阅读:2

Abstract

OBJECTIVE: Metabolic dysfunction-associated steatotic liver disease is common in obesity. Guidelines recommend liver fibrosis risk stratification with tools such as Fibrosis-4 (FIB-4) index, liver stiffness measurement with vibration-controlled transient elastography (VCTE) and/or hepatology referral for elevated FIB-4. Despite recommendations, implementation remains limited. Using mixed methods, we evaluated a 3-strategy implementation bundle to improve fibrosis risk stratification-a FIB-4-based electronic health record embedded clinical decision support system (CDSS), educational outreach, and internal facilitation in a weight management clinic. METHODS: The primary outcome was penetration: the proportion of patients with elevated FIB-4 completing VCTE or hepatology referral. We compared rates, pre and postactivation of implementation bundle using Fischer's exact test. Semi-structured provider interviews, guided by the i-PARIHS framework, assessed acceptability and feasibility 3 months postimplementation. RESULTS: In the preactivation phase, 880 out of 3933 (22.4%) weight management visits had the necessary labs to calculate automated FIB-4 scores with 128 elevated scores. In the postactivation phase, 2513 of 4634 weight management visits (54.2%) had automated FIB-4 scores; with 234 elevated score. Preactivation, there were no VCTE and 2 hepatology referrals. Postactivation, there were 3 VCTE referrals and 2 hepatology referrals (Fischer's exact test P value = 1.00). Providers cited shared responsibility with primary care, low awareness and trust in risk-stratification tools, workflow challenges, and competing demands as barriers. Educational outreach and facilitation improved CDSS engagement, while technical issues reduced it. CONCLUSION: This implementation strategy bundle did not achieve meaningful metabolic dysfunction-associated steatotic liver disease fibrosis risk stratification. Electronic health record-based CDSS shows promise but requires alignment with provider priorities, seamless workflow integration, and robust technical infrastructure.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。