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麻醉疼痛科远程医疗应用评估:回顾性观察病例系列研究

Evaluation of Telemedicine Use for Anesthesiology Pain Division: Retrospective, Observational Case Series Study.

作者信息

Jalilian Laleh, Wu Irene, Ing Jakun, Dong Xuezhi, Sadik Joshua, Pan George, Hitson Heather, Thomas Erin, Grogan Tristan, Simkovic Michael, Kamdar Nirav

机构信息

Department of Anesthesiology and Perioperative Medicine, University of California, Los Angeles, Los Angeles, CA, United States.

Department of Anesthesiology, Critical Care, and Pain Management, Hospital for Special Surgery, New York, NY, United States.

出版信息

JMIR Perioper Med. 2022 Apr 27;5(1):e33926. doi: 10.2196/33926.

Abstract

BACKGROUND

An increasing number of patients require outpatient and interventional pain management. To help meet the rising demand for anesthesia pain subspecialty care in rural and metropolitan areas, health care providers have used telemedicine for pain management of both interventional patients and those with chronic pain.

OBJECTIVE

In this study, we aimed to describe the implementation of a telemedicine program for pain management in an academic pain division in a large metropolitan area. We also aimed to estimate patient cost savings from telemedicine, before and after the California COVID-19 "Safer at Home" directive, and to estimate patient satisfaction with telemedicine for pain management care.

METHODS

This was a retrospective, observational case series study of telemedicine use in a pain division at an urban academic medical center. From August 2019 to June 2020, we evaluated 1398 patients and conducted 2948 video visits for remote pain management care. We used the publicly available Internal Revenue Service's Statistics of Income data to estimate hourly earnings by zip code in order to estimate patient cost savings. We estimated median travel time and travel distance with Google Maps' Distance Matrix application programming interface, direct cost of travel with median value for regular fuel cost in California, and time-based opportunity savings from estimated hourly earnings and round-trip time. We reported patient satisfaction scores derived from a postvisit satisfaction survey containing questions with responses on a 5-point Likert scale.

RESULTS

Patients who attended telemedicine visits avoided an estimated median round-trip driving distance of 26 miles and a median travel time of 69 minutes during afternoon traffic conditions. Within the sample, their median hourly earnings were US $28 (IQR US $21-$39) per hour. Patients saved a median of US $22 on gas and parking and a median total of US $52 (IQR US $36-$75) per telemedicine visit based on estimated hourly earnings and travel time. Patients who were evaluated serially with telemedicine for medication management saved a median of US $156 over a median of 3 visits. A total of 91.4% (286/313) of patients surveyed were satisfied with their telemedicine experience.

CONCLUSIONS

Telemedicine use for pain management reduced travel distance, travel time, and travel and time-based opportunity costs for patients with pain. We achieved the successful implementation of telemedicine across a pain division in an urban academic medical center with high patient satisfaction and patient cost savings.

摘要

背景

越来越多的患者需要门诊和介入性疼痛管理。为了帮助满足农村和大都市地区对麻醉疼痛专科护理日益增长的需求,医疗保健提供者已将远程医疗用于介入性患者和慢性疼痛患者的疼痛管理。

目的

在本研究中,我们旨在描述在一个大型大都市地区的学术疼痛科实施远程医疗疼痛管理项目的情况。我们还旨在估计在加利福尼亚州COVID-19“居家更安全”指令发布前后,远程医疗为患者节省的费用,并估计患者对远程医疗疼痛管理护理的满意度。

方法

这是一项对城市学术医疗中心疼痛科使用远程医疗的回顾性观察病例系列研究。从2019年8月到2020年6月,我们评估了1398名患者,并进行了2948次视频远程疼痛管理护理就诊。我们使用美国国税局公开的收入统计数据,按邮政编码估计每小时收入,以估计患者节省的费用。我们使用谷歌地图的距离矩阵应用程序编程接口估计中位旅行时间和旅行距离,用加利福尼亚州常规燃料成本的中位值估计直接旅行成本,以及根据估计的每小时收入和往返时间估计基于时间的机会节省。我们报告了患者满意度得分,该得分来自就诊后满意度调查,调查问题的回答采用5点李克特量表。

结果

参加远程医疗就诊的患者在下午交通状况下,估计避免了中位往返驾车距离26英里和中位旅行时间69分钟。在样本中,他们的中位每小时收入为28美元(四分位间距为21 - 39美元)。根据估计的每小时收入和旅行时间,患者每次远程医疗就诊在汽油和停车方面平均节省22美元,每次就诊总共平均节省52美元(四分位间距为36 - 75美元)。因药物管理接受系列远程医疗评估的患者,在中位3次就诊中平均节省156美元。接受调查的患者中,共有91.4%(286/313)对他们的远程医疗体验感到满意。

结论

远程医疗用于疼痛管理减少了疼痛患者的旅行距离、旅行时间以及旅行和基于时间的机会成本。我们在城市学术医疗中心的一个疼痛科成功实施了远程医疗,患者满意度高且患者节省了费用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1258/9049645/c5f4a121a58b/periop_v5i1e33926_fig1.jpg

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