Llorian Elisabet Rodriguez, Mason Gregory
Collaboration for Outcomes Research and Evaluation (CORE), Faculty of Pharmaceutical Sciences, University of British Columbia, Canada.
Department of Economics, University of Manitoba, Canada.
J Telemed Telecare. 2023 May;29(4):282-290. doi: 10.1177/1357633X20981227. Epub 2021 Jan 17.
This research examines utilization patterns for patients using telemedicine compared to those receiving treatment conventionally. Administrative data from 2007-2016 is linked to records from the Manitoba Telehealth programme to conduct a population-level study.
Using a high dimensional propensity-weighted regression model, the study compares four utilization measures between telemedicine users and non-users. These include: ambulatory visits (number of visits to any physician), visits to primary care physicians, visits to specialists and the number of hospitalizations.
Compared to non-users, telemedicine patients showed a higher number of in-person visits. Specifically, using incidence-rate ratios, telemedicine users had 1.32 more ambulatory visits ( < 0.001; 95% confidence interval, 1.23-1.41), 1.26 more visits to primary care practitioners (<0.001; 95% confidence interval, 1.17-1.35), 1.38 more visits to specialists ( < 0.001; 95% confidence interval, 1.19-1.61) and 1.14 more hospitalizations (>0.1; 95% confidence interval, 0.91-1.43). These results were robust to restricted analyses for distance, regions, and chronic conditions. Those patients with frequent virtual encounters with a specialist showed a decrease of the frequency of in-person visits of the same type of care (incidence-rate ratio=0.48, < 0.001; 95% confidence interval, 0.44-0.54).
Patterns in utilization vary between telemedicine users and non-users, with users showing a higher number of in-person visits than non-users, and only frequent users of telemedicine showing reduced in-person visits. Future investigation linking utilization patterns with patient care outcomes and costs will inform healthcare policy and clinical treatment plans.
本研究调查了使用远程医疗的患者与接受传统治疗的患者的就医模式。将2007年至2016年的行政数据与曼尼托巴省远程医疗项目的记录相链接,以进行一项针对全体人群的研究。
该研究使用高维倾向加权回归模型,比较了远程医疗使用者和非使用者之间的四项就医指标。这些指标包括:门诊就诊次数(就诊于任何医生的次数)、就诊于初级保健医生的次数、就诊于专科医生的次数以及住院次数。
与非使用者相比,远程医疗患者的面对面就诊次数更多。具体而言,使用发病率比,远程医疗使用者的门诊就诊次数多1.32次(<0.001;95%置信区间,1.23 - 1.41),就诊于初级保健医生的次数多1.26次(<0.001;95%置信区间,1.17 - 1.35),就诊于专科医生的次数多1.38次(<0.001;95%置信区间,1.19 - 1.61),住院次数多1.14次(>0.1;95%置信区间,0.91 - 1.43)。这些结果在针对距离、地区和慢性病的受限分析中具有稳健性。那些经常与专科医生进行虚拟会诊的患者,其相同类型护理的面对面就诊频率有所下降(发病率比 = 0.48,<0.001;95%置信区间,0.44 - 0.54)。
远程医疗使用者和非使用者的就医模式存在差异,使用者的面对面就诊次数多于非使用者,只有频繁使用远程医疗的患者面对面就诊次数减少。未来将就医模式与患者护理结果及成本相联系的调查将为医疗政策和临床治疗计划提供参考。