Specialty-specific Evaluation of Virtual care Outcomes: A retrospective QUality and safety analysis (S-EVOQUe).

IF 7.7 PLOS digital health Pub Date : 2025-01-29 eCollection Date: 2025-01-01 DOI:10.1371/journal.pdig.0000708
Shawn Mondoux, Frank Battaglia, Anastasia Gayowsky, Natasha Clayton, Cailin Langmann, Paul Miller, Alim Pardhan, Julie Mathews, Alex Drossos, Keerat Grewal
{"title":"Specialty-specific Evaluation of Virtual care Outcomes: A retrospective QUality and safety analysis (S-EVOQUe).","authors":"Shawn Mondoux, Frank Battaglia, Anastasia Gayowsky, Natasha Clayton, Cailin Langmann, Paul Miller, Alim Pardhan, Julie Mathews, Alex Drossos, Keerat Grewal","doi":"10.1371/journal.pdig.0000708","DOIUrl":null,"url":null,"abstract":"<p><p>The objective was to compare specialty-specific 7- and 30-day outcomes between virtual care visits and in-person visits which occurred during the SARS-CoV-2 pandemic. Using administrative data from provincial databases in Ontario, ambulatory care visits occurring virtually and in-person during specific timeframes within the pandemic were analyzed. Virtual care visits were matched with corresponding in-person visits based on multiple baseline patient characteristics. We assessed short-term patient outcomes at 7 and 30 days, including subsequent visits, hospital and ICU admissions, surgeries, and mortality and compared them using multivariate logistic regression. Odds ratios were calculated as measures of association between populations. For statistical significance, we used 99% confidence intervals to account for the increased likelihood of chance findings due to the multiple comparisons conducted. Overall, 9,340,519 visits were compared between populations using a 1:1 match on a 20% random sample of the available eligible visits. Over 70% of patients included were seen by a General Practitioner. With few exceptions and across almost all specialties, revisits, ED visits, admissions, ICU and OR use, and mortality were found to be more frequent for patients seen in person. When using the administrative data available to policy makers, there is no evidence to suggest that, in the short-term, virtual care is less safe than in person care. The causes for worse in-person outcomes are not yet clear although are likely related to the streaming of more acutely unwell patients towards in-person care.</p>","PeriodicalId":74465,"journal":{"name":"PLOS digital health","volume":"4 1","pages":"e0000708"},"PeriodicalIF":7.7000,"publicationDate":"2025-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11778768/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"PLOS digital health","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1371/journal.pdig.0000708","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The objective was to compare specialty-specific 7- and 30-day outcomes between virtual care visits and in-person visits which occurred during the SARS-CoV-2 pandemic. Using administrative data from provincial databases in Ontario, ambulatory care visits occurring virtually and in-person during specific timeframes within the pandemic were analyzed. Virtual care visits were matched with corresponding in-person visits based on multiple baseline patient characteristics. We assessed short-term patient outcomes at 7 and 30 days, including subsequent visits, hospital and ICU admissions, surgeries, and mortality and compared them using multivariate logistic regression. Odds ratios were calculated as measures of association between populations. For statistical significance, we used 99% confidence intervals to account for the increased likelihood of chance findings due to the multiple comparisons conducted. Overall, 9,340,519 visits were compared between populations using a 1:1 match on a 20% random sample of the available eligible visits. Over 70% of patients included were seen by a General Practitioner. With few exceptions and across almost all specialties, revisits, ED visits, admissions, ICU and OR use, and mortality were found to be more frequent for patients seen in person. When using the administrative data available to policy makers, there is no evidence to suggest that, in the short-term, virtual care is less safe than in person care. The causes for worse in-person outcomes are not yet clear although are likely related to the streaming of more acutely unwell patients towards in-person care.

Abstract Image

Abstract Image

Abstract Image

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
虚拟护理结果的特殊评估:回顾性质量和安全性分析(S-EVOQUe)。
目的是比较在SARS-CoV-2大流行期间进行的虚拟护理访问和亲自访问之间的特定7天和30天的结果。利用安大略省省级数据库中的行政数据,分析了大流行期间特定时间段内虚拟和面对面的门诊就诊情况。虚拟护理访问与基于多个基线患者特征的相应的亲自访问相匹配。我们评估了患者在第7天和第30天的短期结果,包括随后的就诊、住院和ICU住院、手术和死亡率,并使用多变量逻辑回归对其进行了比较。比值比作为种群间关联的度量来计算。对于统计显著性,我们使用99%的置信区间来解释由于多次比较而增加的偶然发现的可能性。总体而言,9,340,519次访问在20%的可用合格访问随机样本上使用1:1匹配进行了人群之间的比较。超过70%的患者接受了全科医生的治疗。除了少数例外,在几乎所有的专业中,复诊、急诊科就诊、入院、ICU和OR的使用以及死亡率都被发现对亲自就诊的患者更为频繁。在使用决策者可获得的行政数据时,没有证据表明,在短期内,虚拟护理比亲自护理更不安全。当面治疗结果更差的原因尚不清楚,尽管可能与更严重不适的患者涌向当面治疗有关。
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
A problem of Epic proportion. Clustering of disease trajectories with explainable machine learning: A case study on postoperative delirium phenotypes. What should be included in a digital mental health intervention, based on solution-focused therapy, for young people who self-harm? A qualitative exploration of young people and clinicians' views. Impact of electronic health records on nursing workflow efficiency and predictive factors in Palestinian hospitals. Characterizing patients who benefit from mature medical AI models in real-world clinical applications.
×
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:604180095
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