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Improving Vaccine Equity: How Community Engagement and Informatics Facilitate Health System Outreach to Underrepresented Groups.
Xie, Serena J; Mah, Nicholas R; Chew, Lisa; Ruud, Julia; Hernandez, Jennifer; Lowery, Jessica; Hartzler, Andrea L.
Afiliação
  • Xie SJ; Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, Washington, United States.
  • Mah NR; Department of Shared Services, Enterprise Access and Innovation, UW Medicine, University of Washington, Seattle, Washington, United States.
  • Chew L; Department of Medicine, University of Washington School of Medicine, Harborview Medical Center, University of Washington Medicine, Seattle, Washington, United States.
  • Ruud J; Department of Performance Improvement, University of Washington, Seattle, Washington, United States.
  • Hernandez J; Ambulatory & Allied Care Services, Harborview Medical Center, University of Washington Medicine, Seattle, Washington, United States.
  • Lowery J; Ambulatory & Allied Care Services, Harborview Medical Center, University of Washington Medicine, Seattle, Washington, United States.
  • Hartzler AL; Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, Washington, United States.
Appl Clin Inform ; 15(1): 129-144, 2024 01.
Article em En | MEDLINE | ID: mdl-38354837
ABSTRACT

BACKGROUND:

Given the inequities in access to health care resources like COVID-19 vaccination, health systems should carefully consider how to reach underrepresented groups. Reflecting on vaccine rollout efforts holds insight on the role of community engagement and informatics support in promoting health equity.

OBJECTIVES:

This study aimed to assess the effectiveness of four outreach strategies deployed by University of Washington (UW) Medicine in improving vaccine equity over traditional vaccine scheduling online or by phone, we report on appointment scheduling and completion of appointments (i.e., vaccine administration) through (1) automated outreach to individuals from underrepresented groups, (2) temporary "pop-up" clinics in neighborhoods highly impacted by COVID-19, (3) vulnerable population clinics, and (4) mobile vaccine vans.

METHODS:

We conducted a 6-month retrospective analysis of electronic health records (EHR) to describe the sociodemographic characteristics of individuals who scheduled appointments using the outreach strategies and characteristics associated with a greater likelihood of vaccine administration based on appointment completion. To help explain trends in the EHR data, we engaged 10 health system leaders and staff who spearheaded the outreach strategies in follow-up conversations to identify qualitative insights into what worked and why.

RESULTS:

Compared with traditional scheduling, all outreach strategies except vulnerable population clinics had higher vaccine appointment completion rates, including automated outreach (N = 3,734 [94.7%], p < 0.001), pop-up clinics (N = 4,391 [96.0%], p < 0.001), and mobile vans (N = 4,198 [99.1%], p < 0.001); and lower cancellation rates, including automated outreach (N = 166 [1.1%], p < 0.001), pop-up clinics (N = 155 [0.6%], p < 0.001), and mobile vans (N = 0 [0%], p < 0.001). Qualitative insights emphasized ongoing community partnerships and information resources in successful outreach.

CONCLUSION:

Vaccine equity outreach strategies improved the proportion of patients who scheduled and completed vaccination appointments among populations disproportionately impacted by COVID-19. Engaging community partners and equity-focused informatics tools can facilitate outreach. Lessons from these outreach strategies carry practical implications for health systems to amplify their health equity efforts.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Vacinas / COVID-19 Tipo de estudo: Observational_studies / Prognostic_studies / Qualitative_research / Risk_factors_studies Limite: Humans Idioma: En Revista: Appl Clin Inform Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Vacinas / COVID-19 Tipo de estudo: Observational_studies / Prognostic_studies / Qualitative_research / Risk_factors_studies Limite: Humans Idioma: En Revista: Appl Clin Inform Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos