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The effects of the Veterans Health Administration's Referral Coordination Initiative on referral patterns and waiting times for specialty care.
Asfaw, Daniel A; Price, Megan E; Carvalho, Kristina M; Pizer, Steven D; Garrido, Melissa M.
Afiliação
  • Asfaw DA; Partnered Evidence-based Policy Resource Center (PEPReC), VA Boston Healthcare System, Boston, Massachusetts, USA.
  • Price ME; Department of Health Law, Policy, and Management, Boston University School of Public Health, Boston, Massachusetts, USA.
  • Carvalho KM; Department of Health Law, Policy, and Management, Boston University School of Public Health, Boston, Massachusetts, USA.
  • Pizer SD; Department of Health Law, Policy, and Management, Boston University School of Public Health, Boston, Massachusetts, USA.
  • Garrido MM; Partnered Evidence-based Policy Resource Center (PEPReC), VA Boston Healthcare System, Boston, Massachusetts, USA.
Health Serv Res ; 59(3): e14303, 2024 06.
Article em En | MEDLINE | ID: mdl-38553984
ABSTRACT

OBJECTIVE:

To investigate whether the Veterans Health Administration's (VA) 2019 Referral Coordination Initiative (RCI) was associated with changes in the proportion of VA specialty referrals completed by community-based care (CC) providers and mean appointment waiting times for VA and CC providers. DATA SOURCES/STUDY SETTINGS Monthly facility level VA data for 3,097,366 specialty care referrals for eight high-volume specialties (cardiology, dermatology, gastroenterology, neurology, ophthalmology, orthopedics, physical therapy, and podiatry) from October 1, 2019 to May 30, 2022. STUDY

DESIGN:

We employed a staggered difference-in-differences approach to evaluate RCI's effects on referral patterns and wait times. Our unit of analysis was facility-month. We dichotomized facilities into high and low RCI use based on the proportion of total referrals for a specialty. We stratified our analysis by specialty and the staffing model that high RCI users adopted centralized, decentralized, and hybrid. DATA COLLECTION/EXTRACTION

METHODS:

Administrative data on referrals and waiting times were extracted from the VA's corporate data warehouse. Data on staffing models were provided by the VA's Office of Integrated Veteran Care. PRINCIPAL

FINDINGS:

We did not reject the null hypotheses that high RCI use do not change CC referral rates or waiting times in any of the care settings for most specialties. For example, high RCI use for physical therapy-the highest volume specialty studied-was associated with -0.054 (95% confidence interval [CI] -0.114 to 0.006) and 2.0 days (95% CI -4.8 to 8.8) change in CC referral rate and waiting time at CC providers, respectively, among centralized staffing model adopters.

CONCLUSIONS:

In the initial years of the RCI program, RCI does not have a measurable effect on waiting times or CC referral rates. Our findings do not support concerns that RCI might be impeding Veterans' access to CC providers. Future evaluations should examine whether RCI facilitates Veterans' ability to receive care in their preferred setting.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Encaminhamento e Consulta / Listas de Espera / United States Department of Veterans Affairs Limite: Humans País/Região como assunto: America do norte Idioma: En Revista: Health Serv Res Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Encaminhamento e Consulta / Listas de Espera / United States Department of Veterans Affairs Limite: Humans País/Região como assunto: America do norte Idioma: En Revista: Health Serv Res Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Estados Unidos