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Addressing COVID-19 Vaccine Acceptance Within a Large Healthcare System: a Population Health Model.
Spelman, Juliette F; Kravetz, Jeffrey D; Bastian, Lori; Ruser, Christopher.
  • Spelman JF; VA Connecticut Health Care System, 950 Campbell Avenue, West Haven, CT, 06516, USA. Juliette.fromm@yale.edu.
  • Kravetz JD; Yale School of Medicine, New Haven, CT, USA. Juliette.fromm@yale.edu.
  • Bastian L; VA Connecticut Health Care System, 950 Campbell Avenue, West Haven, CT, 06516, USA.
  • Ruser C; Yale School of Medicine, New Haven, CT, USA.
J Gen Intern Med ; 37(4): 954-957, 2022 03.
Article in English | MEDLINE | ID: covidwho-1729387
ABSTRACT

BACKGROUND:

The COVID-19 pandemic, and vaccine hesitancy, pose a significant public health threat. The Veterans Health Administration system is uniquely situated to provide insights into the implementation of a population health approach to vaccine acceptance.

AIM:

We describe the VA Connecticut Healthcare System's (VACHS) quality improvement project to improve rates of vaccine uptake. SETTING AND

PARTICIPANTS:

VACHS consists of eight primary care sites with 80 primary care providers delivering care to 47,000 enrolled veterans. PROGRAM DESCRIPTION Our program involved identification of a local champion, education sessions, development of vaccine acceptance tools (including the templated "COVID-19 Prevention Letter" and the "COVID-19 Prevention Telephone Note"), and application of a population health approach (use of a prioritization scheme and playbook) by primary care patient-aligned care (PACT) medical home teams. PROGRAM EVALUATION We found increased rates of vaccination at VACT compared to the surrounding region 6 months after implementation (65.16% vs 61.89%). Use of vaccine acceptance tools were associated with a statistically significant increase in vaccination (24.1% vs 13.6%, P = 0.036) in unvaccinated veterans.

DISCUSSION:

A population health approach to vaccine acceptance using EHR-based tools can impact vaccination rates, and this approach may be of practical utility to other large healthcare systems with EHR.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: Population Health / COVID-19 Type of study: Experimental Studies / Prognostic study Topics: Vaccines Limits: Humans Language: English Journal: J Gen Intern Med Journal subject: Internal Medicine Year: 2022 Document Type: Article Affiliation country: S11606-021-07353-9

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Population Health / COVID-19 Type of study: Experimental Studies / Prognostic study Topics: Vaccines Limits: Humans Language: English Journal: J Gen Intern Med Journal subject: Internal Medicine Year: 2022 Document Type: Article Affiliation country: S11606-021-07353-9