Electronic consultations and economies of scale: a qualitative study of clinician perspectives on scaling up e-consult delivery.
J Am Med Inform Assoc
; 28(10): 2165-2175, 2021 09 18.
Article
em En
| MEDLINE
| ID: mdl-34338797
OBJECTIVE: To explore Veterans Health Administration clinicians' perspectives on the idea of redesigning electronic consultation (e-consult) delivery in line with a hub-and-spoke (centralized) model. MATERIALS AND METHODS: We conducted a qualitative study in VA New England Healthcare System (VISN 1). Semi-structured phone interviews were conducted with 35 primary care providers and 38 specialty care providers, including 13 clinical leaders, at 6 VISN 1 sites varying in size, specialist availability, and e-consult volume. Interviews included exploration of the hub-and-spoke (centralized) e-consult model as a system redesign option. Qualitative content analysis procedures were applied to identify and describe salient categories. RESULTS: Participants saw several potential benefits to scaling up e-consult delivery from a decentralized model to a hub-and-spoke model, including expanded access to specialist expertise and increased timeliness of e-consult responses. Concerns included differences in resource availability and management styles between sites, anticipated disruption to working relationships, lack of incentives for central e-consultants, dedicated staff's burnout and fatigue, technological challenges, and lack of motivation for change. DISCUSSION: Based on a case study from one of the largest integrated healthcare systems in the United States, our work identifies novel concerns and offers insights for healthcare organizations contemplating a scale-up of their e-consult systems. CONCLUSIONS: Scaling up e-consults in line with the hub-and-spoke model may help pave the way for a centralized and efficient approach to care delivery, but the success of this transformation will depend on healthcare systems' ability to evaluate and address barriers to leveraging economies of scale for e-consults.
Palavras-chave
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Consulta Remota
/
Medicina
Idioma:
En
Ano de publicação:
2021
Tipo de documento:
Article