Validation of the Jefferson health-related social needs screener.

IF 2.7 Q3 HEALTH CARE SCIENCES & SERVICES
Frontiers in health services Pub Date : 2025-09-19 eCollection Date: 2025-01-01 DOI:10.3389/frhs.2025.1658661
Sara Beachy, Kristin L Rising, Richard W Hass, Terry Hyslop, Isabella Muti, Mackenzie Kemp, Rhea E Powell, Cara Martino, Baligh R Yehia, Joseph G Cacchione, Patricia Henwood
{"title":"Validation of the Jefferson health-related social needs screener.","authors":"Sara Beachy, Kristin L Rising, Richard W Hass, Terry Hyslop, Isabella Muti, Mackenzie Kemp, Rhea E Powell, Cara Martino, Baligh R Yehia, Joseph G Cacchione, Patricia Henwood","doi":"10.3389/frhs.2025.1658661","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>Screening for health-related social needs (HRSN) is a growing national health priority. While multiple HRSN screening tools currently exist, none to our knowledge have been evaluated using robust statistical analyses. The goal of this work is to provide results from a validation study of the Jefferson HRSN screener conducted across inpatient and outpatient settings.</p><p><strong>Methods: </strong>This retrospective cross-sectional psychometric study included HRSN assessments conducted across inpatient and outpatient settings with adult patients from March 2023 to May 2024. The study was conducted across a 17-hospital academic health system serving a diverse community in a 9-county area crossing two states<b>.</b> Participants answered the HRSN screener, which includes eight questions across seven HRSN domains (financial, food, housing, utilities, transportation, violence/safety, and social connection) and two follow up questions, as part of standard healthcare encounter procedures. The measure was assessed with item response theory and a two-parameter logistic model. A follow-up analysis using Latent Class Analysis (LCA) was used to assess whether HRSN items and demographic variables could be used to identify people with higher levels of social vulnerability index (SVI). Higher SVI indicates higher levels of needs based on community and neighborhood related factors.</p><p><strong>Results: </strong>The final sample included data from 302,929 adults. Patients were relatively evenly distributed across ages (< 45 years, 32%; 45-64 years, 32%; 65-84 years, 30%; 85+, 4%). Most patients were Non-Hispanic (87%), White (66%), and female (59%). A third of patients were in the medium-high (18%) and high (15%) SVI areas. Positive responses across questions ranged from 0.90%-5.90%. Slopes ranged between 1.67-3.77, and difficulty parameters ranged between 2.20-3.31, indicating that the items can detect a high level of need. LCA results suggested that the eight HRSN items combined with basic demographic variables could help identify people with higher HRSN.</p><p><strong>Discussion: </strong>The Jefferson HRSN screener provides a valid approach for HRSN screening across healthcare settings. The eight screening questions, combined with additional questions to evaluate the patient's desire for help and urgency, can be used to identify patients needing additional resources to address fundamental social needs potentially contributing to health disparities.</p>","PeriodicalId":73088,"journal":{"name":"Frontiers in health services","volume":"5 ","pages":"1658661"},"PeriodicalIF":2.7000,"publicationDate":"2025-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12491173/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in health services","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3389/frhs.2025.1658661","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
引用次数: 0

Abstract

Introduction: Screening for health-related social needs (HRSN) is a growing national health priority. While multiple HRSN screening tools currently exist, none to our knowledge have been evaluated using robust statistical analyses. The goal of this work is to provide results from a validation study of the Jefferson HRSN screener conducted across inpatient and outpatient settings.

Methods: This retrospective cross-sectional psychometric study included HRSN assessments conducted across inpatient and outpatient settings with adult patients from March 2023 to May 2024. The study was conducted across a 17-hospital academic health system serving a diverse community in a 9-county area crossing two states. Participants answered the HRSN screener, which includes eight questions across seven HRSN domains (financial, food, housing, utilities, transportation, violence/safety, and social connection) and two follow up questions, as part of standard healthcare encounter procedures. The measure was assessed with item response theory and a two-parameter logistic model. A follow-up analysis using Latent Class Analysis (LCA) was used to assess whether HRSN items and demographic variables could be used to identify people with higher levels of social vulnerability index (SVI). Higher SVI indicates higher levels of needs based on community and neighborhood related factors.

Results: The final sample included data from 302,929 adults. Patients were relatively evenly distributed across ages (< 45 years, 32%; 45-64 years, 32%; 65-84 years, 30%; 85+, 4%). Most patients were Non-Hispanic (87%), White (66%), and female (59%). A third of patients were in the medium-high (18%) and high (15%) SVI areas. Positive responses across questions ranged from 0.90%-5.90%. Slopes ranged between 1.67-3.77, and difficulty parameters ranged between 2.20-3.31, indicating that the items can detect a high level of need. LCA results suggested that the eight HRSN items combined with basic demographic variables could help identify people with higher HRSN.

Discussion: The Jefferson HRSN screener provides a valid approach for HRSN screening across healthcare settings. The eight screening questions, combined with additional questions to evaluate the patient's desire for help and urgency, can be used to identify patients needing additional resources to address fundamental social needs potentially contributing to health disparities.

杰弗逊健康相关社会需求筛选的验证。
引言:筛查与健康相关的社会需求(HRSN)是一个日益增长的国家卫生优先事项。虽然目前存在多种HRSN筛查工具,但据我们所知,没有一种工具使用可靠的统计分析进行评估。这项工作的目的是提供在住院和门诊环境中进行的Jefferson HRSN筛查验证研究的结果。方法:这项回顾性横断面心理测量研究包括在2023年3月至2024年5月期间对住院和门诊成年患者进行HRSN评估。这项研究是在一个17家医院的学术卫生系统中进行的,该系统服务于跨越两个州的9个县地区的多元化社区。参与者回答了HRSN筛选问题,其中包括七个HRSN领域(金融、食品、住房、公用事业、交通、暴力/安全和社会联系)的八个问题和两个后续问题,作为标准医疗保健遇到程序的一部分。采用项目反应理论和双参数logistic模型对量表进行评价。采用潜类分析(Latent Class analysis, LCA)进行随访分析,评估HRSN项目和人口统计学变量是否可以用于识别社会脆弱性指数(SVI)较高的人群。SVI越高,表明基于社区和邻里相关因素的需求水平越高。结果:最终样本包括来自302929名成年人的数据。患者年龄分布相对均匀(< 45岁,32%;45-64岁,32%;65-84岁,30%;85岁以上,4%)。大多数患者是非西班牙裔(87%),白人(66%)和女性(59%)。三分之一的患者处于SVI中高(18%)和高(15%)区域。所有问题的正面回答在0.90%-5.90%之间。斜率范围在1.67-3.77之间,难度参数范围在2.20-3.31之间,这表明这些道具可以检测到高水平的需求。LCA结果表明,8个HRSN项目结合基本人口统计变量可以帮助识别高HRSN人群。讨论:Jefferson HRSN筛选器为跨医疗保健设置的HRSN筛选提供了一种有效的方法。这8个筛查问题,加上用于评估患者对帮助的渴望和紧迫性的其他问题,可用于确定需要额外资源来解决可能导致健康差距的基本社会需求的患者。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
1.00
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信