The Health Equity Explorer: An open-source resource for distributed health equity visualization and research across common data models.

Common data models R-Shiny distributed analytics health equity open-source software translational informatics

Journal

Journal of clinical and translational science
ISSN: 2059-8661
Titre abrégé: J Clin Transl Sci
Pays: England
ID NLM: 101689953

Informations de publication

Date de publication:
2024
Historique:
received: 26 12 2023
revised: 01 03 2024
accepted: 11 03 2024
medline: 1 5 2024
pubmed: 1 5 2024
entrez: 1 5 2024
Statut: epublish

Résumé

There is an urgent need to address pervasive inequities in health and healthcare in the USA. Many areas of health inequity are well known, but there remain important unexplored areas, and for many populations in the USA, accessing data to visualize and monitor health equity is difficult. We describe the development and evaluation of an open-source, R-Shiny application, the "Health Equity Explorer (H2E)," designed to enable users to explore health equity data in a way that can be easily shared within and across common data models (CDMs). We have developed a novel, scalable informatics tool to explore a wide variety of drivers of health, including patient-reported Social Determinants of Health (SDoH), using data in an OMOP CDM research data repository in a way that can be easily shared. We describe our development process, data schema, potential use cases, and pilot data for 705,686 people who attended our health system at least once since 2016. For this group, 996,382 unique observations for questions related to food and housing security were available for 324,630 patients (at least one answer for all 46% of patients) with 65,152 (20.1% of patients with at least one visit and answer) reporting food or housing insecurity at least once. H2E can be used to support dynamic and interactive explorations that include rich social and environmental data. The tool can support multiple CDMs and has the potential to support distributed health equity research and intervention on a national scale.

Identifiants

pubmed: 38690224
doi: 10.1017/cts.2024.500
pii: S2059866124005004
pmc: PMC11058576
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e72

Informations de copyright

© The Author(s) 2024.

Déclaration de conflit d'intérêts

None.

Auteurs

William G Adams (WG)

Department of Pediatrics, Boston Medical Center, Boston, MA, USA.
Boston University Clinical and Translational Science Institute, Chobanian & Avedisian School of Medicine, Boston, MA, USA.

Sarah Gasman (S)

Department of Pediatrics, Boston Medical Center, Boston, MA, USA.

Ariel L Beccia (AL)

Boston Children's Hospital and Department of Pediatrics, Harvard Medical School, Boston, MA, USA.

Liza Fuentes (L)

Health Equity Accelerator, Boston Medical Center, Boston, MA, USA.

Classifications MeSH