使用员工健康索赔数据对雇主主导的研究进行范围界定审查。

IF 1.8 4区 医学 Q3 HEALTH CARE SCIENCES & SERVICES Population Health Management Pub Date : 2023-10-01 Epub Date: 2023-09-08 DOI:10.1089/pop.2023.0140
Naimisha Movva, Susan T Pastula, Saumitra V Rege, R Jeffrey Lewis, Lauren C Bylsma
{"title":"使用员工健康索赔数据对雇主主导的研究进行范围界定审查。","authors":"Naimisha Movva,&nbsp;Susan T Pastula,&nbsp;Saumitra V Rege,&nbsp;R Jeffrey Lewis,&nbsp;Lauren C Bylsma","doi":"10.1089/pop.2023.0140","DOIUrl":null,"url":null,"abstract":"<p><p>Employers may evaluate employee claims data for various reasons, including assessment of medical insurance and wellness plan efficacy, monitoring employee health trends, and identifying focus areas for wellness measures. The objective of this scoping review (ScR) is to describe the available literature reporting the use, applications, and outcomes of employee health claims data by self-insured employers. The ScR was conducted in a stepwise manner using an established framework: identifying the research question, identifying and selecting relevant studies, charting the data, and collating and reporting results. Literature searches were conducted in PubMed and Embase. Studies of self-insured employee populations that were conducted by the employer/s through May 2022 were identified using predefined criteria. Forty-one studies were included. The majority (90%) were cohort study designs; most employers (51%) were in industries such as aluminum production and health insurance providers. Twenty-four (59%) studies supplemented claims data with other sources such as human resource data to evaluate programs and/or health outcomes. A range of exposures (eg, chronic conditions, wellness program participation) and outcomes (eg, rates or costs of conditions, program effectiveness) were considered. Among the 25 studies that reported on patient confidentiality and privacy, 68% indicated institutional review board approval and 48% reported use of deidentified data. Many self-insured employers have used employee health claims data to gain insights into their employees' needs and health care utilization. These data can be used to identify potential improvements for wellness and other targeted programs to improve employee health and decrease absenteeism.</p>","PeriodicalId":20396,"journal":{"name":"Population Health Management","volume":" ","pages":"341-352"},"PeriodicalIF":1.8000,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10611962/pdf/","citationCount":"0","resultStr":"{\"title\":\"Scoping Review of Employer-Led Research Using Employee Health Claims Data.\",\"authors\":\"Naimisha Movva,&nbsp;Susan T Pastula,&nbsp;Saumitra V Rege,&nbsp;R Jeffrey Lewis,&nbsp;Lauren C Bylsma\",\"doi\":\"10.1089/pop.2023.0140\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Employers may evaluate employee claims data for various reasons, including assessment of medical insurance and wellness plan efficacy, monitoring employee health trends, and identifying focus areas for wellness measures. The objective of this scoping review (ScR) is to describe the available literature reporting the use, applications, and outcomes of employee health claims data by self-insured employers. The ScR was conducted in a stepwise manner using an established framework: identifying the research question, identifying and selecting relevant studies, charting the data, and collating and reporting results. Literature searches were conducted in PubMed and Embase. Studies of self-insured employee populations that were conducted by the employer/s through May 2022 were identified using predefined criteria. Forty-one studies were included. The majority (90%) were cohort study designs; most employers (51%) were in industries such as aluminum production and health insurance providers. Twenty-four (59%) studies supplemented claims data with other sources such as human resource data to evaluate programs and/or health outcomes. A range of exposures (eg, chronic conditions, wellness program participation) and outcomes (eg, rates or costs of conditions, program effectiveness) were considered. Among the 25 studies that reported on patient confidentiality and privacy, 68% indicated institutional review board approval and 48% reported use of deidentified data. Many self-insured employers have used employee health claims data to gain insights into their employees' needs and health care utilization. These data can be used to identify potential improvements for wellness and other targeted programs to improve employee health and decrease absenteeism.</p>\",\"PeriodicalId\":20396,\"journal\":{\"name\":\"Population Health Management\",\"volume\":\" \",\"pages\":\"341-352\"},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2023-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10611962/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Population Health Management\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1089/pop.2023.0140\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2023/9/8 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q3\",\"JCRName\":\"HEALTH CARE SCIENCES & SERVICES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Population Health Management","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1089/pop.2023.0140","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/9/8 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
引用次数: 0

摘要

雇主可能会出于各种原因评估员工索赔数据,包括评估医疗保险和健康计划的有效性、监测员工健康趋势以及确定健康措施的重点领域。本范围界定审查(ScR)的目的是描述现有文献,报告自保雇主使用、应用和结果的员工健康索赔数据。ScR是使用既定框架逐步进行的:确定研究问题,确定和选择相关研究,绘制数据图表,整理和报告结果。文献检索在PubMed和Embase进行。雇主在2022年5月之前对自保员工群体进行的研究是使用预定义的标准确定的。包括四十一项研究。大多数(90%)是队列研究设计;大多数雇主(51%)都在铝生产和医疗保险提供商等行业。二十四项(59%)研究用人力资源数据等其他来源补充了索赔数据,以评估项目和/或健康结果。考虑了一系列暴露(如慢性病、健康计划参与)和结果(如发病率或费用、计划有效性)。在25项报告患者保密和隐私的研究中,68%的研究表示机构审查委员会批准,48%的研究报告使用了未识别的数据。许多自保雇主使用员工健康索赔数据来深入了解员工的需求和医疗保健利用情况。这些数据可用于确定健康和其他有针对性的计划的潜在改善,以改善员工健康并减少缺勤。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

摘要图片

摘要图片

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
Scoping Review of Employer-Led Research Using Employee Health Claims Data.

Employers may evaluate employee claims data for various reasons, including assessment of medical insurance and wellness plan efficacy, monitoring employee health trends, and identifying focus areas for wellness measures. The objective of this scoping review (ScR) is to describe the available literature reporting the use, applications, and outcomes of employee health claims data by self-insured employers. The ScR was conducted in a stepwise manner using an established framework: identifying the research question, identifying and selecting relevant studies, charting the data, and collating and reporting results. Literature searches were conducted in PubMed and Embase. Studies of self-insured employee populations that were conducted by the employer/s through May 2022 were identified using predefined criteria. Forty-one studies were included. The majority (90%) were cohort study designs; most employers (51%) were in industries such as aluminum production and health insurance providers. Twenty-four (59%) studies supplemented claims data with other sources such as human resource data to evaluate programs and/or health outcomes. A range of exposures (eg, chronic conditions, wellness program participation) and outcomes (eg, rates or costs of conditions, program effectiveness) were considered. Among the 25 studies that reported on patient confidentiality and privacy, 68% indicated institutional review board approval and 48% reported use of deidentified data. Many self-insured employers have used employee health claims data to gain insights into their employees' needs and health care utilization. These data can be used to identify potential improvements for wellness and other targeted programs to improve employee health and decrease absenteeism.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Population Health Management
Population Health Management 医学-卫生保健
CiteScore
4.10
自引率
4.00%
发文量
81
审稿时长
6-12 weeks
期刊介绍: Population Health Management provides comprehensive, authoritative strategies for improving the systems and policies that affect health care quality, access, and outcomes, ultimately improving the health of an entire population. The Journal delivers essential research on a broad range of topics including the impact of social, cultural, economic, and environmental factors on health care systems and practices. Population Health Management coverage includes: Clinical case reports and studies on managing major public health conditions Compliance programs Health economics Outcomes assessment Provider incentives Health care reform Resource management Return on investment (ROI) Health care quality Care coordination.
期刊最新文献
Telehealth as a Tool for Increasing Health Determinant Risk Assessment: An Analysis of the 2024 Physician Fee Schedule's New Health Equity Codes. Hospital Safety-Net Burden is Associated with Perioperative Outcomes in Primary Total Hip Arthroplasty: A Multistate Retrospective Analysis, 2015-2020. Transitional Care for Older Adults: Demonstration of the Role of a Partnership Payvider. Estimating Cost Savings of Care Coordination for Older Adults: Evidence from the Iowa Return to Community Program. Developing a Strategy to Increase Lung Cancer Screening in Areas of Need.
×
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