Kiani Sara N, Cho Logan D, Poeran Jashvant, Wilson Lauren, Zhong Haoyan, Mazumdar Madhu, Liu Jiabin, Valle Alejandro Gonzalez Della, Memtsoudis Stavros G
Department of Medical Education, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Institute for Healthcare Delivery Science, Department of Population Health Science and Policy, USA.
Int J Telemed Appl. 2023 Jan 11;2023:9900145. doi: 10.1155/2023/9900145. eCollection 2023.
Telemedicine was rapidly deployed at the onset of the COVID-19 pandemic. Little has been published on telemedicine in musculoskeletal care prior to the COVID-19 pandemic. This study is aimed at characterizing trends in telemedicine for musculoskeletal care preceding the COVID-19 pandemic.
This retrospective study used insurance claims from the Truven MarketScan database. Musculoskeletal-specific outpatient visits from 2014 to 2018 were identified using the musculoskeletal major diagnostic category ICD-10 codes. Telemedicine visits were categorized using CPT codes and Healthcare Common Procedure Coding Systems. We described annual trends in telemedicine in the overall dataset and by diagnosis grouping. Multivariable logistic regression modeling estimated the association between patient-specific and telemedicine visit variables and telemedicine utilization.
There were 36,672 musculoskeletal-specific telemedicine visits identified (0.020% of all musculoskeletal visits). Overall, telemedicine utilization increased over the study period (0% in 2014 to 0.05% in 2018). Orthopedic surgeons had fewer telemedicine visits than primary care providers (OR 0.57, 95% CI 0.55-0.59). The proportion of unique patients utilizing telemedicine in 2018 was higher in the south (OR 2.28, 95% CI 2.19-2.38) and west (OR 5.58, 95% CI 5.36-5.81) compared to the northeast. Those with increased comorbidities and lower incomes and living in rural areas had lower rates of telemedicine utilization.
From 2014 to 2018, there was an increase in telemedicine utilization for musculoskeletal visits, in part due to insurance reimbursement and telemedicine regulation. Despite this increase, the rates of telemedicine utilization are still lowest in some of the groups that could derive the most benefit from these services. Establishing this baseline is important for assessing how the roll-out of telemedicine during the pandemic impacted how/which patients and providers are utilizing telemedicine today.
在新冠疫情爆发之初,远程医疗迅速得到应用。在新冠疫情之前,关于远程医疗在肌肉骨骼疾病护理方面的研究发表较少。本研究旨在描述新冠疫情之前远程医疗在肌肉骨骼疾病护理方面的应用趋势。
这项回顾性研究使用了Truven MarketScan数据库中的保险理赔数据。通过肌肉骨骼主要诊断类别ICD - 10编码确定了2014年至2018年期间特定于肌肉骨骼疾病的门诊就诊情况。远程医疗就诊使用CPT编码和医疗保健通用程序编码系统进行分类。我们描述了整个数据集中以及按诊断分组的远程医疗年度趋势。多变量逻辑回归模型估计了患者特定变量和远程医疗就诊变量与远程医疗使用之间的关联。
共识别出36,672次特定于肌肉骨骼疾病的远程医疗就诊(占所有肌肉骨骼疾病就诊的0.020%)。总体而言,在研究期间远程医疗的使用率有所上升(从2014年的0%升至2018年的0.05%)。骨科医生的远程医疗就诊次数少于初级保健提供者(比值比0.57,95%置信区间0.55 - 0.59)。与东北部相比,2018年南部(比值比2.28,95%置信区间2.19 - 2.38)和西部(比值比5.58,95%置信区间5.36 - 5.81)使用远程医疗的独特患者比例更高。合并症增加、收入较低且居住在农村地区的人群远程医疗使用率较低。
从2014年到2018年,肌肉骨骼疾病就诊的远程医疗使用率有所上升,部分原因是保险报销和远程医疗监管。尽管有所增加,但在一些可能从这些服务中获益最大的人群中,远程医疗使用率仍然最低。建立这一基线对于评估疫情期间远程医疗的推广如何影响当今患者和提供者使用远程医疗的方式/对象非常重要。