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Impact of a Remote Primary Care Telehealth Staffing Model on Primary Care Access in the Veterans Health Administration.
O'Shea, Amy M J; Haraldsson, Bjarni; Augustine, Matthew R; Shahnazi, Ariana; Mulligan, Kailey; Kaboli, Peter J.
Afiliación
  • O'Shea AMJ; Center for Access and Delivery Research and Evaluation (CADRE) at the Iowa City VA Healthcare System, Iowa City, IA, USA.
  • Haraldsson B; Veterans Rural Health Resource Center-Iowa City, VA Office of Rural Health, Iowa City, IA, USA.
  • Augustine MR; Department of Internal Medicine, University of Iowa Carver College of Medicine, Iowa City, IA, USA.
  • Shahnazi A; Center for Access and Delivery Research and Evaluation (CADRE) at the Iowa City VA Healthcare System, Iowa City, IA, USA.
  • Mulligan K; Geriatric Research Education and Clinical Center, James J Peters VA Medical Center, Bronx, NY, USA.
  • Kaboli PJ; Department of Medicine, The Icahn School of Medicine at Mount Sinai, New York, NY, USA.
J Gen Intern Med ; 2024 Jun 12.
Article en En | MEDLINE | ID: mdl-38867100
ABSTRACT

BACKGROUND:

The Veterans Health Administration (VHA) implemented the Clinical Resource Hub (CRH) program to fill staffing gaps in primary care (PC) clinics via telemedicine and maintain veterans' healthcare access.

OBJECTIVE:

To evaluate PC wait times before and after CRH implementation.

DESIGN:

Comparative interrupted time series analysis among a retrospective observational cohort of PC clinics who did and did not use CRH during pre-implementation (October 2018-September 2019) and post-implementation (October 2019-February 2020) periods.

PARTICIPANTS:

Clinics completing ≥10 CRH visits per month for 2 consecutive months and propensity matched control clinics. MAIN

MEASURES:

Two measures of patient access (i.e., established, and new patient wait times) and one measure of clinic capacity (i.e., third next available appointment) were assessed. Clinics using CRH were 11 propensity score matched across clinical and demographic characteristics. Comparative interrupted time series models used linear mixed effects regression with random clinic-level intercepts and triple interaction (i.e., CRH use, pre- vs. post-implementation, and time) for trend and point estimations. KEY

RESULTS:

PC clinics using CRH (N = 79) were matched to clinics not using CRH (N = 79). In the 12-month pre-implementation, third next available time increased in CRH clinics (0.16 days/month; 95% CI = [0.07, 0.25]), and decreased in the 5 months post-implementation (-0.58 days/month; 95% CI = [-0.90, -0.27]). Post-implementation third next available time also decreased in control clinics (-0.48 days/month; 95% CI = [-0.81, -0.17]). Comparative differences remained non-significant. There were no statistical differences in established or new patient wait times by CRH user status, CRH implementation, or over time.

CONCLUSIONS:

In a national VHA telemedicine program developed to provide gap coverage for PC clinics, no wait time differences were observed between clinics using and not using CRH services. This hub-and-spoke telemedicine service is an effective model to provide gap coverage while maintaining access. Further investigation of quality and long-term access remains necessary.
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Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: J Gen Intern Med Asunto de la revista: MEDICINA INTERNA Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: J Gen Intern Med Asunto de la revista: MEDICINA INTERNA Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos