Demographic disparities in video visit telemetry: understanding telemedicine utilization.

IF 2.5 4区 医学 Q2 HEALTH CARE SCIENCES & SERVICES
Daniel Stein, Mark L Moubarek, Jeffrey Fine, Jeffery Wajda, Mark Avdalovic
{"title":"Demographic disparities in video visit telemetry: understanding telemedicine utilization.","authors":"Daniel Stein, Mark L Moubarek, Jeffrey Fine, Jeffery Wajda, Mark Avdalovic","doi":"10.37765/ajmc.2025.89699","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>To investigate demographic disparities in failed episodes of telemedicine utilization. The primary hypothesis was that certain demographic groups, including older adults and specific racial or ethnic groups, would experience disparate amounts of failed video visits.</p><p><strong>Study design: </strong>A retrospective review was conducted using electronic health record-integrated scheduled telehealth video visit telemetry data gathered for all video visits at a California academic health center from September 1, 2020, to November 30, 2020. For each visit, we collected demographics including age, sex, ethnicity, primary language, and race.</p><p><strong>Methods: </strong>Outcomes were categorized as successful or failed based on review of telemetry data. Successful visits were defined as simultaneous connections and completion of video visit, whereas failed visits were defined as provider-reported failure or lack of simultaneous connections for the telemedicine visit. Binomial generalized logistic regression using a generalized estimating equation approach was used to assess the impact of demographic factors on video visit success. Of 47,065 scheduled telemedicine video visits, telemetry data were available for 30,996; the 16,069 visits excluded from the study were due to no-shows, cancellations, or a nonintegrated solution being utilized.</p><p><strong>Results: </strong>Of 30,996 visits included in the study, 27,273 were successfully completed. Analysis of the 3723 failed visits revealed that older adults and African American/Black patients were more likely to experience failed video visits, with ORs of 2.02 and 1.56, respectively.</p><p><strong>Conclusions: </strong>This study highlights the significant demographic disparities in failed video visit occurrence caused by technical failure as demonstrated by telemetry data. These findings highlight the need for targeted interventions and opportunity for improved outcomes.</p>","PeriodicalId":50808,"journal":{"name":"American Journal of Managed Care","volume":"31 3","pages":"e69-e73"},"PeriodicalIF":2.5000,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"American Journal of Managed Care","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.37765/ajmc.2025.89699","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
引用次数: 0

Abstract

Objectives: To investigate demographic disparities in failed episodes of telemedicine utilization. The primary hypothesis was that certain demographic groups, including older adults and specific racial or ethnic groups, would experience disparate amounts of failed video visits.

Study design: A retrospective review was conducted using electronic health record-integrated scheduled telehealth video visit telemetry data gathered for all video visits at a California academic health center from September 1, 2020, to November 30, 2020. For each visit, we collected demographics including age, sex, ethnicity, primary language, and race.

Methods: Outcomes were categorized as successful or failed based on review of telemetry data. Successful visits were defined as simultaneous connections and completion of video visit, whereas failed visits were defined as provider-reported failure or lack of simultaneous connections for the telemedicine visit. Binomial generalized logistic regression using a generalized estimating equation approach was used to assess the impact of demographic factors on video visit success. Of 47,065 scheduled telemedicine video visits, telemetry data were available for 30,996; the 16,069 visits excluded from the study were due to no-shows, cancellations, or a nonintegrated solution being utilized.

Results: Of 30,996 visits included in the study, 27,273 were successfully completed. Analysis of the 3723 failed visits revealed that older adults and African American/Black patients were more likely to experience failed video visits, with ORs of 2.02 and 1.56, respectively.

Conclusions: This study highlights the significant demographic disparities in failed video visit occurrence caused by technical failure as demonstrated by telemetry data. These findings highlight the need for targeted interventions and opportunity for improved outcomes.

求助全文
约1分钟内获得全文 求助全文
来源期刊
American Journal of Managed Care
American Journal of Managed Care 医学-卫生保健
CiteScore
3.60
自引率
0.00%
发文量
177
审稿时长
4-8 weeks
期刊介绍: The American Journal of Managed Care is an independent, peer-reviewed publication dedicated to disseminating clinical information to managed care physicians, clinical decision makers, and other healthcare professionals. Its aim is to stimulate scientific communication in the ever-evolving field of managed care. The American Journal of Managed Care addresses a broad range of issues relevant to clinical decision making in a cost-constrained environment and examines the impact of clinical, management, and policy interventions and programs on healthcare and economic outcomes.
×
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:481959085
Book学术官方微信