共同制定社会健康研究议程

Co–developing a social health research agenda

Health Services Research · 2025
被引 0
ABS 3

中文导读

本文描述了俄亥俄州一家农村社区卫生中心如何利用人口普查和社区健康需求评估数据,通过PDSA循环提高社会健康决定因素筛查率、社区转诊率,并在所有医疗部门整合SDOH数据,以推进健康公平。

Abstract

Background: Social Drivers of Health (SDOH) influence up to 80% of an individual's health outcomes and are a driving force behind the health disparities seen today, imploring health centers to expand their capacity to routinely and systematically obtain and act on this information.While health centers are eager to evolve beyond taking a health-equity "lens" to patient care to integrating it infrastructurally, the path forward is ill-defined.Community Health and Wellness Partners (CHWP) of Logan County, Ohio is a rural FQHC fiercely committed to identifying a path forward and using SDOH data to improve health outcomes within their community.Objective: Using census and Community Health Needs Assessment data, CHWP created an annual health equity plan that included a PDSA to improve SDOH screening rates, community-based referral rates, and utilization of SDOH data across all medical departments.Methods: The PDSA aimed to screen all patients annually using the PRAPARE tool.This required standardizing workflows for screening and interventions, adapting the EHR to capture interventions in trackable fields, and implementing huddle facilitation tools to make social care information available at the point-ofcare.Using a population health analytics platform, Azara DRVS, CHWP built dashboards to monitor progress against the health equity plan and integrate SDOH data into all parts of the organization, including point-of-care teams, case management, and schoolbased health.These dashboards were distributed monthly and highlighted services gaps, barriers to care, and community needs.Results: From 2023 to 2024, CHWP increased SDOH screening rates among patients 18+ by 10% and among patients 17 and younger by 95%.Warm handoffs to community-based resources expanded in scope and increased by 290%.Conclusion: Advancing health equity in clinical settings requires 1) expanding capacity to screen patients and provide interventions, 2) access to data to evaluate the impact of efforts on equitable health outcomes, and 3) an organizational commitment to incorporating this data across all departments.

健康服务研究数据科学公共卫生医学护理