Arpan Mohanty, Kirsten Austad, Nicholas A Bosch, Michelle T Long, Eric Nolen-Doerr, Allan J Walkey, Mari-Lynn Drainoni, Ivania Rizo, Kathryn L Fantasia
{"title":"Assessing Clinician Engagement With a Passive Clinical Decision Support System for Liver Fibrosis Risk Stratification in a Weight Management Clinic.","authors":"Arpan Mohanty, Kirsten Austad, Nicholas A Bosch, Michelle T Long, Eric Nolen-Doerr, Allan J Walkey, Mari-Lynn Drainoni, Ivania Rizo, Kathryn L Fantasia","doi":"10.1016/j.eprac.2025.04.014","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusion: </strong>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.</p>","PeriodicalId":11682,"journal":{"name":"Endocrine Practice","volume":" ","pages":""},"PeriodicalIF":3.7000,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Endocrine Practice","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.eprac.2025.04.014","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
引用次数: 0
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.
期刊介绍:
Endocrine Practice (ISSN: 1530-891X), a peer-reviewed journal published twelve times a year, is the official journal of the American Association of Clinical Endocrinologists (AACE). The primary mission of Endocrine Practice is to enhance the health care of patients with endocrine diseases through continuing education of practicing endocrinologists.