Impact of Internet Hospital Consultations on Outpatient Visits and Expenses: Quasi-Experimental Study.

IF 5.8 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES Journal of Medical Internet Research Pub Date : 2024-11-11 DOI:10.2196/57609
Yayuan Liu, Haofeng Jin, Zhuoyuan Yu, Yu Tong
{"title":"Impact of Internet Hospital Consultations on Outpatient Visits and Expenses: Quasi-Experimental Study.","authors":"Yayuan Liu, Haofeng Jin, Zhuoyuan Yu, Yu Tong","doi":"10.2196/57609","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Internet hospital consultations are emerging in China as a new channel for patients to access health care services. Unlike third-party health care platforms such as Haodf, Teladoc Health, and MDLive, internet hospitals seamlessly integrate patients' offline medical records with online consultations, offering a cohesive online and offline health care experience. However, its impact on outpatient visits remains ambiguous. While it may encourage outpatient visits due to better continuity of care, it could also reduce face-to-face visits because of the convenience of online consultations. Given that patients in China have the autonomy to freely choose their health care providers, it is critical for hospitals to understand the effect of this telehealth technology on outpatient visits.</p><p><strong>Objective: </strong>This study aimed to analyze the impact of patients' adoption of internet hospital consultations on their outpatient frequency and expenses, and whether these impacts vary between urban and rural patients.</p><p><strong>Methods: </strong>The data used in this study were collected from a public tertiary hospital situated in a southeastern county of China, covering internet hospital consultations from January 2021 to October 2022, and offline outpatient records from January 2020 to October 2022. The dataset also includes patient demographic information. To estimate the causal effect, we used a quasi-experimental design, combining the difference-in-differences (DiD) analysis with the propensity score matching (PSM). After performing PSM, 2065 pairs of patients (4130 patients) were obtained for data analysis.</p><p><strong>Results: </strong>Our findings highlight 3 key results. First, patients' adoption of internet hospital consultations increases their frequency of outpatient visits by 2.4% per month (P<.001), and the associated expenses by 15.5% per month (P<.001). Second, such positive effects are more pronounced for patients residing in rural areas. Specifically, for every 1% increase in the distance between patients' residences and the county government (an urban center), the positive effect on monthly outpatient visits increases by 0.3% (P=.06), and the positive effect on monthly outpatient expenses increases by 2.4% (P=.03). Third, our post hoc analysis shows that rural patients living in areas with higher local health care quality experience a mitigated positive effect of internet hospital consultations, compared with those in areas with lower health care quality.</p><p><strong>Conclusions: </strong>This study extends the research scope of telehealth technologies by investigating internet hospitals, which are characterized by the integration of online and offline services. Our findings suggest that patients' adoption of internet hospital consultations is associated with an increase in both the frequency and expenses of outpatient visits. In addition, these effects vary based on patients' urban-rural status and local health care quality. These insights offer valuable guidance for policy makers and health care providers in promoting and optimizing the development and operation of internet hospitals.</p>","PeriodicalId":16337,"journal":{"name":"Journal of Medical Internet Research","volume":"26 ","pages":"e57609"},"PeriodicalIF":5.8000,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Medical Internet Research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2196/57609","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
引用次数: 0

Abstract

Background: Internet hospital consultations are emerging in China as a new channel for patients to access health care services. Unlike third-party health care platforms such as Haodf, Teladoc Health, and MDLive, internet hospitals seamlessly integrate patients' offline medical records with online consultations, offering a cohesive online and offline health care experience. However, its impact on outpatient visits remains ambiguous. While it may encourage outpatient visits due to better continuity of care, it could also reduce face-to-face visits because of the convenience of online consultations. Given that patients in China have the autonomy to freely choose their health care providers, it is critical for hospitals to understand the effect of this telehealth technology on outpatient visits.

Objective: This study aimed to analyze the impact of patients' adoption of internet hospital consultations on their outpatient frequency and expenses, and whether these impacts vary between urban and rural patients.

Methods: The data used in this study were collected from a public tertiary hospital situated in a southeastern county of China, covering internet hospital consultations from January 2021 to October 2022, and offline outpatient records from January 2020 to October 2022. The dataset also includes patient demographic information. To estimate the causal effect, we used a quasi-experimental design, combining the difference-in-differences (DiD) analysis with the propensity score matching (PSM). After performing PSM, 2065 pairs of patients (4130 patients) were obtained for data analysis.

Results: Our findings highlight 3 key results. First, patients' adoption of internet hospital consultations increases their frequency of outpatient visits by 2.4% per month (P<.001), and the associated expenses by 15.5% per month (P<.001). Second, such positive effects are more pronounced for patients residing in rural areas. Specifically, for every 1% increase in the distance between patients' residences and the county government (an urban center), the positive effect on monthly outpatient visits increases by 0.3% (P=.06), and the positive effect on monthly outpatient expenses increases by 2.4% (P=.03). Third, our post hoc analysis shows that rural patients living in areas with higher local health care quality experience a mitigated positive effect of internet hospital consultations, compared with those in areas with lower health care quality.

Conclusions: This study extends the research scope of telehealth technologies by investigating internet hospitals, which are characterized by the integration of online and offline services. Our findings suggest that patients' adoption of internet hospital consultations is associated with an increase in both the frequency and expenses of outpatient visits. In addition, these effects vary based on patients' urban-rural status and local health care quality. These insights offer valuable guidance for policy makers and health care providers in promoting and optimizing the development and operation of internet hospitals.

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
互联网医院咨询对门诊就诊人次和费用的影响:准实验研究
背景:互联网医院问诊正在中国兴起,成为患者获取医疗服务的新渠道。与好大夫、远程医疗、MDLive 等第三方医疗平台不同,互联网医院将患者的线下病历与线上问诊无缝对接,提供线上线下一体化的医疗服务体验。然而,它对门诊就医的影响仍不明确。虽然它可能会因更好的医疗连续性而鼓励门诊就诊,但也可能因在线问诊的便利性而减少面对面的就诊。鉴于中国的患者拥有自由选择医疗服务提供者的自主权,医院了解远程医疗技术对门诊量的影响至关重要:本研究旨在分析患者采用互联网医院问诊对其门诊频率和费用的影响,以及这些影响在城市和农村患者之间是否存在差异:本研究使用的数据来自中国东南部某县的一家公立三级医院,涵盖 2021 年 1 月至 2022 年 10 月的互联网医院就诊情况,以及 2020 年 1 月至 2022 年 10 月的线下门诊记录。数据集还包括患者的人口统计学信息。为了估计因果效应,我们采用了准实验设计,将差异分析(DiD)与倾向得分匹配(PSM)相结合。在进行倾向得分匹配后,我们获得了 2065 对患者(4130 名患者)进行数据分析:我们的研究结果突出了三个关键结果。首先,患者采用互联网医院问诊后,其门诊就诊频率每月增加 2.4%(PConclusions:本研究通过调查互联网医院扩展了远程医疗技术的研究范围,互联网医院的特点是线上和线下服务的整合。我们的研究结果表明,患者采用互联网医院就诊与门诊频率和费用的增加有关。此外,这些影响因患者的城乡差别和当地医疗质量而异。这些见解为政策制定者和医疗服务提供者促进和优化互联网医院的发展和运营提供了宝贵的指导。
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
CiteScore
14.40
自引率
5.40%
发文量
654
审稿时长
1 months
期刊介绍: The Journal of Medical Internet Research (JMIR) is a highly respected publication in the field of health informatics and health services. With a founding date in 1999, JMIR has been a pioneer in the field for over two decades. As a leader in the industry, the journal focuses on digital health, data science, health informatics, and emerging technologies for health, medicine, and biomedical research. It is recognized as a top publication in these disciplines, ranking in the first quartile (Q1) by Impact Factor. Notably, JMIR holds the prestigious position of being ranked #1 on Google Scholar within the "Medical Informatics" discipline.
期刊最新文献
Identification of a Susceptible and High-Risk Population for Postoperative Systemic Inflammatory Response Syndrome in Older Adults: Machine Learning-Based Predictive Model. Hospital Length of Stay Prediction for Planned Admissions Using Observational Medical Outcomes Partnership Common Data Model: Retrospective Study. Development and Validation of a Machine Learning-Based Early Warning Model for Lichenoid Vulvar Disease: Prediction Model Development Study. Elements Influencing User Engagement in Social Media Posts on Lifestyle Risk Factors: Systematic Review. Quantitative Impact of Traditional Open Surgery and Minimally Invasive Surgery on Patients' First-Night Sleep Status in the Intensive Care Unit: Prospective Cohort Study.
×
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