Assessing Strengths, Challenges, and Equity Via Pragmatic Evaluation of a Social Care Program.

healthcare disparities limited English proficiency pediatrics social needs

Journal

Academic pediatrics
ISSN: 1876-2867
Titre abrégé: Acad Pediatr
Pays: United States
ID NLM: 101499145

Informations de publication

Date de publication:
05 Apr 2023
Historique:
received: 18 10 2022
revised: 21 03 2023
accepted: 30 03 2023
pubmed: 7 4 2023
medline: 7 4 2023
entrez: 6 4 2023
Statut: aheadofprint

Résumé

Models of pragmatic social care program evaluations are needed as many are clinical services programs and are not focused on research, limiting the ability to address key evidence gaps. We describe the use of the Reach, Effectiveness, Adoption, Implementation and Maintenance (RE-AIM) framework to conduct a pragmatic evaluation of a pediatric ambulatory social care program. Our evaluation was based on automated electronic health record data on clinics, community partners, social care program processes, and social needs screen data linked to patient sociodemographic characteristics from February 2020 to September 2021. Two Reach outcomes were assessed: 1) the proportion of eligible patients that completed social needs screening and 2) the proportion of positive screens that receive social care program follow-up. The Effectiveness outcome was meeting families' resource need(s). Reach among eligible patients who completed screening was 79.2%. Reach for positive screens receiving social care program referrals demonstrated a higher proportion of referrals among patients with a preferred healthcare language (PHL) of Spanish (45.1%) compared to English (31.2%, P < .001). Effectiveness analyses demonstrated that overall, 75.1% of social care program referrals had all social resource needs met, 17.5% had some needs met, and 7.4% had no needs met. The percent of patients with all resource needs met was higher for patients with PHL of Spanish or Non-English, Non-Spanish (79% for each respectively) compared to English (73%, P = .023). Maximizing automated data collection is likely the most feasible way for social care programs to complete evaluation activities outside of the research context.

Identifiants

pubmed: 37024078
pii: S1876-2859(23)00135-3
doi: 10.1016/j.acap.2023.03.017
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2023 Academic Pediatric Association. Published by Elsevier Inc. All rights reserved.

Auteurs

Lisa Ross DeCamp (LR)

Children's Hospital Colorado (LR DeCamp, S Yousuf, C Peters, E Cruze, and E Kutchman), Aurora; Department of Pediatrics (LR DeCamp), University of Colorado School of Medicine, Aurora; Adult and Child Center for Outcomes Research and Delivery Science (LR DeCamp), Aurora, Colo. Electronic address: lisa.decamp@childrenscolorado.org.

Sana Yousuf (S)

Children's Hospital Colorado (LR DeCamp, S Yousuf, C Peters, E Cruze, and E Kutchman), Aurora. Electronic address: sana.yousuf@childrenscolorado.org.

Claire Peters (C)

Children's Hospital Colorado (LR DeCamp, S Yousuf, C Peters, E Cruze, and E Kutchman), Aurora. Electronic address: claire.peters@childrenscolorado.org.

Ellen Cruze (E)

Children's Hospital Colorado (LR DeCamp, S Yousuf, C Peters, E Cruze, and E Kutchman), Aurora. Electronic address: ellen.cruze@childrenscolorado.org.

Eve Kutchman (E)

Children's Hospital Colorado (LR DeCamp, S Yousuf, C Peters, E Cruze, and E Kutchman), Aurora. Electronic address: eve.kutchman@childrenscolorado.org.

Classifications MeSH