Sockolow Paulina
Drexel University, Philadelphia PA.
AMIA Annu Symp Proc. 2025 May 22;2024:1040-1049. eCollection 2024.
Health Related Social Needs (HRSN) is an important driver of patient health outcomes. Healthcare organizations address patient HRSN with screening and community resource referral fulfillment (S&RF) processes for which they lack patient retention data, due to information silos. The process is complex and not fully represented in available conceptual models nor adequately assessed for effectiveness. The objective was to develop an evidence-based HRSN S&RF complex model and identify patient retention parameters. Model development drew from the literature and expert input to create a complex S&RF model, and identify parameters for model stages and factors. Studies (50) involved manual S&RF processes in small, specialized populations. The model organized 88 factors among five S&RF stages. Half the studies reported parameters, for which stage and factor ranges were wide and indicated reduced patient retention along the process. Needed is data from routine care in which HRSN platforms are used, and information silos overcome.
健康相关社会需求(HRSN)是患者健康结果的重要驱动因素。医疗保健组织通过筛查和社区资源转诊执行(S&RF)流程来解决患者的HRSN问题,但由于信息孤岛,他们缺乏患者留存数据。该流程很复杂,在现有的概念模型中没有得到充分体现,也没有对其有效性进行充分评估。目标是开发一个基于证据的HRSN S&RF复杂模型,并确定患者留存参数。模型开发借鉴了文献和专家意见,以创建一个复杂的S&RF模型,并确定模型阶段和因素的参数。50项研究涉及小型特定人群中的手动S&RF流程。该模型在五个S&RF阶段中组织了88个因素。一半的研究报告了参数,各阶段和因素的范围很广,表明在该流程中患者留存率有所下降。需要来自使用HRSN平台的常规护理的数据,并克服信息孤岛问题。