Development of a social and environmental determinants of health informatics maturity model

Integrating social and environmental determinants of health (SEDoH) into enterprise-wide clinical workflows and decision-making is one of the most important and challenging aspects of improving health equity. We engaged domain experts to develop a SEDoH informatics maturity model (SIMM) to help guid...

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Vydáno v:Journal of clinical and translational science Ročník 7; číslo 1; s. e266
Hlavní autoři: Espinoza, Juan C., Sehgal, Shruti, Phuong, Jimmy, Bahroos, Neil, Starren, Justin, Wilcox, Adam, Meeker, Daniella
Médium: Journal Article
Jazyk:angličtina
Vydáno: England Cambridge University Press 2023
Témata:
clinical and translational research
Data collection
Decision making
Feedback
Health disparities
health equity
Implementation, Policy and Community Engagement
Informatics
Innovations
Integration of Social Determinants of Health with Clinical and Translational Science
Maturity
maturity models
Pandemics
Self-assessment
Social determinants of health
Socioeconomic factors
United States > US
clinical and translational research
Social determinants of health
health equity
informatics
maturity models
ISSN:2059-8661, 2059-8661
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Popis
Shrnutí:Integrating social and environmental determinants of health (SEDoH) into enterprise-wide clinical workflows and decision-making is one of the most important and challenging aspects of improving health equity. We engaged domain experts to develop a SEDoH informatics maturity model (SIMM) to help guide organizations to address technical, operational, and policy gaps. We established a core expert group consisting of developers, informaticists, and subject matter experts to identify different SIMM domains and define maturity levels. The candidate model (v0.9) was evaluated by 15 informaticists at a Center for Data to Health community meeting. After incorporating feedback, a second evaluation round for v1.0 collected feedback and self-assessments from 35 respondents from the National COVID Cohort Collaborative, the Center for Leading Innovation and Collaboration's Informatics Enterprise Committee, and a publicly available online self-assessment tool. We developed a SIMM comprising seven maturity levels across five domains: data collection policies, data collection methods and technologies, technology platforms for analysis and visualization, analytics capacity, and operational and strategic impact. The evaluation demonstrated relatively high maturity in analytics and technological capacity, but more moderate maturity in operational and strategic impact among academic medical centers. Changes made to the tool in between rounds improved its ability to discriminate between intermediate maturity levels. The SIMM can help organizations identify current gaps and next steps in improving SEDoH informatics. Improving the collection and use of SEDoH data is one important component of addressing health inequities.
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ISSN:2059-8661
2059-8661
DOI:10.1017/cts.2023.691