Impact of Telemedicine on Health Expenditures During the COVID-19 Pandemic in Japan: Quasi-Experimental Study.

IF 6 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES
Hikaru Aihara, Ichiro Kawachi, Benjamin D Sommers
{"title":"Impact of Telemedicine on Health Expenditures During the COVID-19 Pandemic in Japan: Quasi-Experimental Study.","authors":"Hikaru Aihara, Ichiro Kawachi, Benjamin D Sommers","doi":"10.2196/72051","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The effects of telemedicine on health expenditures and health outcomes are an important policy question. Many countries loosened regulations on the use of telemedicine during the COVID-19 pandemic, thereby offering an opportunity to evaluate these effects via a natural experiment.</p><p><strong>Objective: </strong>This study aimed to assess the effect of greater telemedicine use on area-level health expenditures and health outcomes related to common chronic conditions in Japan during the COVID-19 pandemic.</p><p><strong>Methods: </strong>We compared prefectures (area levels of government) with higher prepandemic telemedicine rates (fiscal year [FY] 2019) versus those with lower rates and conducted a difference-in-differences analysis of the change in prefecture-level health expenditures from FY2017 to FY2022 and health outcomes from FY2017 to FY2021. The participants were the total population in Japan from FY2017 to FY2022 (n=126 million), and the exposure was the increase in telemedicine use following the government's relaxation of restrictions on telemedicine use as an exceptional measure during the COVID-19 pandemic. Our main outcomes were the share of outpatient claims that were for telehealth services; total, inpatient, and outpatient annual prefecture-level health expenditures; all-cause mortality, glycated hemoglobin, systolic blood pressure, and low-density lipoprotein cholesterol.</p><p><strong>Results: </strong>Treatment prefectures (n=15, population of 62 million) were defined as those with greater-than-median telemedicine use before the pandemic, while control prefectures (n=32, population of 64 million) were defined as those with less-than-median telemedicine use. Treatment and control prefectures shared similar demographic characteristics before the pandemic. The growth in telemedicine after 2020 as a share of outpatient claims increased among the treatment prefectures by 0.35 percentage points more than among control prefectures, which represented more than a threefold increase in telemedicine use compared to the prepandemic median. In difference-in-differences analyses, this difference was associated with a 1.0% relative decrease (95% CI 0.3%-1.8%) in total health expenditure (P=.006) and a 1.1% relative decrease (95% CI 0.2%-2.0%) in inpatient expenditure (P=.02). Outpatient expenditures showed no significant difference as a result of increased telemedicine adoption. Most health outcomes-all-cause mortality, glycated hemoglobin, systolic blood pressure, diastolic blood pressure, and low-density lipoprotein cholesterol-did not show any significant changes.</p><p><strong>Conclusions: </strong>Areas in Japan with greater expansion of telemedicine use during the pandemic experienced a significant decrease in both inpatient and total health care spending compared with areas with less telemedicine use, without harming health outcomes.</p>","PeriodicalId":16337,"journal":{"name":"Journal of Medical Internet Research","volume":"27 ","pages":"e72051"},"PeriodicalIF":6.0000,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12456874/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Medical Internet Research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2196/72051","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: The effects of telemedicine on health expenditures and health outcomes are an important policy question. Many countries loosened regulations on the use of telemedicine during the COVID-19 pandemic, thereby offering an opportunity to evaluate these effects via a natural experiment.

Objective: This study aimed to assess the effect of greater telemedicine use on area-level health expenditures and health outcomes related to common chronic conditions in Japan during the COVID-19 pandemic.

Methods: We compared prefectures (area levels of government) with higher prepandemic telemedicine rates (fiscal year [FY] 2019) versus those with lower rates and conducted a difference-in-differences analysis of the change in prefecture-level health expenditures from FY2017 to FY2022 and health outcomes from FY2017 to FY2021. The participants were the total population in Japan from FY2017 to FY2022 (n=126 million), and the exposure was the increase in telemedicine use following the government's relaxation of restrictions on telemedicine use as an exceptional measure during the COVID-19 pandemic. Our main outcomes were the share of outpatient claims that were for telehealth services; total, inpatient, and outpatient annual prefecture-level health expenditures; all-cause mortality, glycated hemoglobin, systolic blood pressure, and low-density lipoprotein cholesterol.

Results: Treatment prefectures (n=15, population of 62 million) were defined as those with greater-than-median telemedicine use before the pandemic, while control prefectures (n=32, population of 64 million) were defined as those with less-than-median telemedicine use. Treatment and control prefectures shared similar demographic characteristics before the pandemic. The growth in telemedicine after 2020 as a share of outpatient claims increased among the treatment prefectures by 0.35 percentage points more than among control prefectures, which represented more than a threefold increase in telemedicine use compared to the prepandemic median. In difference-in-differences analyses, this difference was associated with a 1.0% relative decrease (95% CI 0.3%-1.8%) in total health expenditure (P=.006) and a 1.1% relative decrease (95% CI 0.2%-2.0%) in inpatient expenditure (P=.02). Outpatient expenditures showed no significant difference as a result of increased telemedicine adoption. Most health outcomes-all-cause mortality, glycated hemoglobin, systolic blood pressure, diastolic blood pressure, and low-density lipoprotein cholesterol-did not show any significant changes.

Conclusions: Areas in Japan with greater expansion of telemedicine use during the pandemic experienced a significant decrease in both inpatient and total health care spending compared with areas with less telemedicine use, without harming health outcomes.

Abstract Image

Abstract Image

日本2019冠状病毒病疫情期间远程医疗对医疗支出的影响:准实验研究
背景:远程医疗对卫生支出和卫生结果的影响是一个重要的政策问题。在2019冠状病毒病大流行期间,许多国家放松了对远程医疗使用的监管,从而为通过自然实验评估这些影响提供了机会。目的:本研究旨在评估在2019冠状病毒病大流行期间,日本更多的远程医疗使用对地区卫生支出和与常见慢性病相关的健康结果的影响。方法:我们比较了流行病前远程医疗率较高的地级政府(2019财年)与较低的地级政府(2019财年),并对2017财年至2022财年地级卫生支出的变化以及2017财年至2021财年的卫生结果进行了差异中差异分析。参与者是2017财年至2022财年日本的总人口(n= 1.26亿),暴露于政府在COVID-19大流行期间放松对远程医疗使用的限制后,远程医疗使用的增加。我们的主要结果是远程医疗服务的门诊索赔比例;年度地级卫生总支出、住院费用和门诊费用;全因死亡率,糖化血红蛋白,收缩压,低密度脂蛋白胆固醇。结果:治疗县(n=15,人口6200万)被定义为大流行前远程医疗使用率高于中位数的地区,而对照县(n=32,人口6400万)被定义为远程医疗使用率低于中位数的地区。治疗县和控制县在大流行之前具有相似的人口特征。2020年后,远程医疗在治疗县的门诊索赔中所占比例的增长比对照县高出0.35个百分点,与大流行前的中位数相比,远程医疗的使用增长了三倍多。在差异中的差异分析中,这一差异与总卫生支出相对减少1.0% (95% CI 0.3%-1.8%) (P= 0.006)和住院费用相对减少1.1% (95% CI 0.2%-2.0%) (P= 0.02)相关。由于远程医疗采用的增加,门诊费用没有显着差异。大多数健康结果——全因死亡率、糖化血红蛋白、收缩压、舒张压和低密度脂蛋白胆固醇——没有显示出任何显著的变化。结论:与远程医疗使用较少的地区相比,在大流行期间远程医疗使用扩大的日本地区,住院病人和医疗保健总支出均显著减少,但没有损害健康结果。
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 求助全文
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.
×
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:604180095
Book学术官方微信