Development and validation of a community risk score for sexual and reproductive health in the United States.

Health affairs scholar Pub Date : 2024-07-27 eCollection Date: 2024-07-01 DOI:10.1093/haschl/qxae048
Lisa M Lines, Christina I Fowler, Yevgeniya Kaganova, Karen Peacock
{"title":"Development and validation of a community risk score for sexual and reproductive health in the United States.","authors":"Lisa M Lines, Christina I Fowler, Yevgeniya Kaganova, Karen Peacock","doi":"10.1093/haschl/qxae048","DOIUrl":null,"url":null,"abstract":"<p><p>Equitable access to sexual and reproductive health (SRH) care is key to reducing inequities in SRH outcomes. Publicly funded family-planning services are an important source of SRH care for people with social risk factors that impede their access. This study aimed to create a new index (Local Social Inequity in SRH [LSI-SRH]) to measure community-level risk of adverse SRH outcomes based on social determinants of health (SDoH). We evaluated the validity of the LSI-SRH scores in predicting adverse SRH outcomes and the need for publicly funded services. The data were drawn from more than 200 publicly available SDoH and SRH measures, including availability and potential need for publicly supported family planning from the Guttmacher Institute. The sample included 72 999 Census tracts (99.9%) in the 50 states and the District of Columbia. We used random forest regression to predict the LSI-SRH scores; 42 indicators were retained in the final model. The LSI-SRH model explained 81% of variance in the composite SRH outcome, outperforming 3 general SDoH indices. LSI-SRH scores could be a useful for measuring community-level SRH risk and guiding site placement and resource allocation.</p>","PeriodicalId":94025,"journal":{"name":"Health affairs scholar","volume":"2 7","pages":"qxae048"},"PeriodicalIF":0.0000,"publicationDate":"2024-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11282459/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Health affairs scholar","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/haschl/qxae048","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/7/1 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Equitable access to sexual and reproductive health (SRH) care is key to reducing inequities in SRH outcomes. Publicly funded family-planning services are an important source of SRH care for people with social risk factors that impede their access. This study aimed to create a new index (Local Social Inequity in SRH [LSI-SRH]) to measure community-level risk of adverse SRH outcomes based on social determinants of health (SDoH). We evaluated the validity of the LSI-SRH scores in predicting adverse SRH outcomes and the need for publicly funded services. The data were drawn from more than 200 publicly available SDoH and SRH measures, including availability and potential need for publicly supported family planning from the Guttmacher Institute. The sample included 72 999 Census tracts (99.9%) in the 50 states and the District of Columbia. We used random forest regression to predict the LSI-SRH scores; 42 indicators were retained in the final model. The LSI-SRH model explained 81% of variance in the composite SRH outcome, outperforming 3 general SDoH indices. LSI-SRH scores could be a useful for measuring community-level SRH risk and guiding site placement and resource allocation.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
美国性健康和生殖健康社区风险评分的开发和验证。
公平获得性与生殖健康(SRH)护理是减少性与生殖健康结果不平等的关键。对于那些因社会风险因素而无法获得计划生育服务的人来说,公共资助的计划生育服务是性健康和生殖健康护理的重要来源。本研究旨在根据健康的社会决定因素(SDoH)创建一个新指数(SRH 地方社会不公平指数 [LSI-SRH]),以衡量社区层面的 SRH 不良后果风险。我们评估了 LSI-SRH 分数在预测不良 SRH 结果和公共资助服务需求方面的有效性。数据来源于 200 多个公开的 SDoH 和 SRH 指标,包括古特马赫研究所(Guttmacher Institute)提供的公共支持计划生育的可用性和潜在需求。样本包括 50 个州和哥伦比亚特区的 72 999 个人口普查区(99.9%)。我们使用随机森林回归法预测 LSI-SRH 分数;最终模型保留了 42 个指标。LSI-SRH 模型解释了综合 SRH 结果中 81% 的变异,优于 3 个一般 SDoH 指数。LSI-SRH 评分可用于衡量社区层面的 SRH 风险,并指导医疗点的安排和资源分配。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Correction to: No Surprises Act independent dispute resolution outcomes for emergency services. All-cause nursing home mortality rates have remained above pre-pandemic levels after accounting for decline in occupancy. Charting new territory: the early lessons in integrating social determinant of health (SDOH) measures into practice. Measuring hospital inpatient Procedure Access Inequality in the United States. Examining the use of telehealth to initiate buprenorphine for opioid use disorder treatment.
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1