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Frontiers in Health Services· 2026Q1

Effectiveness of an Extension for Community Health Outcomes case-based virtual community of practice model on clinician outcomes for the management of long COVID and fatiguing illnesses: a randomized control trial

Alexandra Zuber, Jonathan Rothwell, Jane C. Samaniego, Sydney Sharp et al.

Short summary

A virtual community of practice model (ECHO) significantly improved clinician knowledge (b=0.77) and confidence (b=0.48) in managing Long COVID and related illnesses, while also reducing specialist referrals by 44% (b=-0.44) compared to a control group.

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Key points

  • The ECHO virtual community of practice model improved clinician knowledge by 0.77 and confidence by 0.48 in managing Long COVID and related conditions.
  • Intervention group clinicians reduced specialist referrals by 44% (b=-0.44) per patient.
  • Attendance at virtual sessions was a significant predictor of improved knowledge, confidence, and practice changes.
  • The model did not significantly alter visit duration or patient load.

AI-generated from the title and abstract; the full text is not read.

Abstract

Introduction Patients with Long COVID and other infection-associated chronic conditions (IACC) often face barriers to accessing specialist care, prompting the need to strengthen primary care capacity to manage these complex conditions. Our study evaluated the effectiveness of an ECHO case-based virtual community of practice model for improving clinician knowledge, confidence, and practice for Long COVID and other IACC in a randomized controlled trial (RCT) [Clinicaltrials.gov (NCT05167227)]. Methods The study was a two-arm, single-blind, cluster RCT; intervention clinicians were invited to participate in weekly case-based, interactive, expert-led virtual learning sessions focused on patient care for individuals with Long COVID and other IACC. Intervention and control groups were also invited to monthly interactive webinars and quarterly short courses. Virtual learning occurred on Zoom videoconferencing software. Data were collected from routine clinician surveys, participation records, and electronic health records. The analysis identified treatment effects using generalized linear models predicting scaled scores for knowledge, changes to practice, and confidence in the management of patients with Long COVID and other IACC. Results Adjusting for baseline controls, the intervention group achieved significantly higher levels of knowledge (standardized beta coefficient: b = 0.77, 95% CI 0.20 to 1.33) and confidence (b = 0.48, 95% CI 0.09 to 0.88), but not changes to practice (b = 0.52, 95% CI -0.08 to 1.12). The number of sessions attended significantly predicted all three outcomes. As hypothesized, these improvements coincided with a reduction in specialist referrals by intervention group clinicians, per patient assigned to them (b = −0.44, 95% CI −0.62 to -.26), with no significant difference in visit duration or patient load. Discussion Our findings provide randomized trial evidence that the ECHO case-based virtual community of practice model can generate improvements to clinician knowledge and confidence in the care of patients with IACC and decreased reliance on specialist referrals. This offers a promising strategy for strengthening primary care capacity to address these complex conditions. Clinical Trial Registration Clinicaltrials.gov, identifier NCT05167227.

The authors' abstract, as published at the source. Frontiers in Health Services, 2026 · DOI ↗

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Field: Public Health, Environmental and Occupational Health

Public Health, Environmental and Occupational HealthMedicine