Diagnostic and treatment concordance in primary care participants and dermatologists utilizing Extension for Community Health Outcomes (ECHO)

利用社区健康结果扩展计划 (ECHO) 的初级保健参与者和皮肤科医生的诊断和治疗一致性

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Abstract

INTRODUCTION: Suboptimal access to dermatologic care is dependent on patient location and insurance type. Although there have been attempts to address access issues, barriers to providing excellent dermatologic care to all patients at the right time still exist. The objective of this study was to investigate the clinical impact of Dermatology Extension for Community Healthcare Outcomes (ECHO) project participation on primary care providers' diagnostic and treatment tendencies and accuracy. METHODS: This was a retrospective cohort study constructed using Dermatology Extension for Community Healthcare Outcomes case and recommendation data from November 2015 to June 2021. The University of Missouri-based Dermatology Extension for Community Healthcare Outcomes specialty hub team offers regularly scheduled live interactive tele-mentoring sessions for primary care providers who practice in rural and underserved areas. 524 patient cases presented by 25 primary care providers were included in the analysis. Of those, 449 cases were included in diagnostic concordance, and 451 in treatment concordance analysis. RESULTS: Less than 40% of all diagnoses were fully concordant with an expert panel. Over 33% of patients were misdiagnosed, and over 26% received partially correct diagnosis. Only 16% of all treatment recommendations were fully concordant with an expert panel. DISCUSSION: Diagnostic and treatment accuracy of participants is low, and Dermatology Extension for Community Healthcare Outcomes platform ensured patients received correct diagnosis and treatment quickly. Although tele-dermatology models are effective, they continue to be underutilized. Dermatologists in practice and training should be encouraged to adopt innovative clinical educational models, like Dermatology ECHO, to expand access to dermatologic expertise for the most marginalized populations.

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