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Preparing to Address Social Determinants of Health (SDOH): Approaches to Clinic Transformation.
Liu, Xinran; Boak, Brandi; Eggleston, Molly; Rodi, Andrea; Biscardi, Ashley; Elias, Thistle.
Affiliation
  • Liu X; Author Affiliations: Department of Behavioral and Community Health Sciences, University of Pittsburgh School of Public Health, Pittsburgh, Pennsylvania (Mss Liu, Boak, and Eggleston and Dr Elias); and Quality Insights, Inc, Charleston, West Virginia (Mss Rodi and Biscardi).
J Public Health Manag Pract ; 30: S39-S45, 2024.
Article in En | MEDLINE | ID: mdl-38870359
ABSTRACT
CONTEXT Pennsylvanians' health is influenced by numerous social determinants of health (SDOH). Integrating SDOH data into electronic health records (EHRs) is critical to identifying health disparities, informing public health policies, and devising interventions. Nevertheless, challenges remain in its implementation within clinical settings. In 2018, the Pennsylvania Department of Health (PADOH) received the Centers for Disease Control and Prevention's DP18-1815 "Improving the Health of Americans Through Prevention and Management of Diabetes and Heart Disease and Stroke" grant to strengthen SDOH data integration in Pennsylvania practices. IMPLEMENTATION Quality Insights was contracted by PADOH to provide training tailored to each practice's readiness, an International Classification of Diseases, Tenth Revision (ICD-10) guide for SDOH, Continuing Medical Education on SDOH topics, and introduced the PRAPARE toolkit to streamline SDOH data integration and address disparities. Dissemination efforts included a podcast highlighting success stories and lessons learned from practices. From 2019 to 2022, Quality Insights and the University of Pittsburgh Evaluation Institute for Public Health (Pitt evaluation team) executed a mixed-methods evaluation.

FINDINGS:

During 2019-2022, Quality Insights supported 100 Pennsylvania practices in integrating SDOH data into EHR systems. Before COVID-19, 82.8% actively collected SDOH data, predominantly using PRAPARE tool (62.7%) and SDOH ICD-10 codes (80.4%). Amidst COVID-19, these statistics shifted to 65.1%, 45.2%, and 42.7%, respectively. Notably, the pandemic highlighted the importance of SDOH assessment and catalyzed some practices' utilization of SDOH data. Progress was evident among practices, with additional contribution to other DP18-1815 objectives. The main challenge was the variable understanding, utilization, and capability of handling SDOH data across practices. Effective strategies involved adaptable EHR systems, persistent efforts by Quality Insights, and the presence of change champions within practices.

DISCUSSION:

The COVID-19 pandemic strained staffing in many practices, impeding SDOH data integration into EHRs. Addressing the diverse understanding and use of SDOH data requires standardized training and procedures. Customized support and sustained engagement by facilitating organizations are paramount in ensuring practices' efficient SDOH data collection and integration.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Social Determinants of Health Limits: Humans Country/Region as subject: America do norte Language: En Journal: J Public Health Manag Pract / J. public health manag. pract. (Online) / Journal of public health management and practice (Online) Journal subject: SAUDE PUBLICA / SERVICOS DE SAUDE Year: 2024 Document type: Article Country of publication: Estados Unidos

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Social Determinants of Health Limits: Humans Country/Region as subject: America do norte Language: En Journal: J Public Health Manag Pract / J. public health manag. pract. (Online) / Journal of public health management and practice (Online) Journal subject: SAUDE PUBLICA / SERVICOS DE SAUDE Year: 2024 Document type: Article Country of publication: Estados Unidos