Participant Characteristics and Attendance Patterns for a Multispecialty Veterans Affairs ECHO Program 2012-2018.
Telemed J E Health
; 2022 Mar 22.
Article
en En
| MEDLINE
| ID: mdl-35325561
Introduction: The Veteran Integrated Service Network (VISN) 20 Veterans Affairs-Extension for Community Healthcare Outcomes (VA-ECHO) program connects specialty and primary care providers (PCPs) across large geographic areas, utilizing video-teleconferencing with the intention of increasing access to care among underserved and isolated populations. No previously published work describes participation patterns of a multispecialty ECHO program. We describe the development of VISN 20 VA-ECHO program to inform the design and evaluation of ECHO programs. Methods: The participant cohort included VA-affiliated licensed health care professionals, including trainees, who attended at least one VISN 20 VA-ECHO session between April 2012 and December 2018. Participant characteristics reported include gender, clinical location, clinical specialty, discipline, and rurality. Results: Over the 6-year time frame, VISN 20 VA-ECHO offered 945 sessions in 14 clinical specialties and recorded 17,893 hours of attendance. The cohort included 1,346 participants, 74.3% of whom were female, 85.2% employed in medical centers, and 40.7% affiliated with primary care. Most participants (62.3%) attended one specialty exclusively; among all participants, 40% attended five or more sessions. Discussion: Although VA-ECHO was implemented to develop single specialty expertise among PCPs, our participant cohort represented a more diverse audience from a range of disciplines and specialties. Our experience may be valuable to other teams implementing ECHO programs. Conclusions: Through adaptability and strategies that actively promoted inclusion of a diverse audience, VISN 20 VA-ECHO expanded to include multiple clinical specialties and successfully engaged an audience across a large geographic area and beyond PCPs.
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MEDLINE
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En
Revista:
Telemed J E Health
Asunto de la revista:
INFORMATICA MEDICA
/
SERVICOS DE SAUDE
Año:
2022
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Article
País de afiliación:
Estados Unidos