Huang Ming, Khurana Aditya, Mastorakos George, Wen Andrew, He Huan, Wang Liwei, Liu Sijia, Wang Yanshan, Zong Nansu, Prigge Julie, Costello Brian, Shah Nilay, Ting Henry, Fan Jungwei, Patten Christi, Liu Hongfang
Department of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, MN, United States.
Mayo Clinic Alix School of Medicine, Mayo Clinic, Scottsdale, AZ, United States.
JMIR Hum Factors. 2022 May 5;9(2):e35187. doi: 10.2196/35187.
During the COVID-19 pandemic, patient portals and their message platforms allowed remote access to health care. Utilization patterns in patient messaging during the COVID-19 crisis have not been studied thoroughly. In this work, we propose characterizing patients and their use of asynchronous virtual care for COVID-19 via a retrospective analysis of patient portal messages.
This study aimed to perform a retrospective analysis of portal messages to probe asynchronous patient responses to the COVID-19 crisis.
We collected over 2 million patient-generated messages (PGMs) at Mayo Clinic during February 1 to August 31, 2020. We analyzed descriptive statistics on PGMs related to COVID-19 and incorporated patients' sociodemographic factors into the analysis. We analyzed the PGMs on COVID-19 in terms of COVID-19-related care (eg, COVID-19 symptom self-assessment and COVID-19 tests and results) and other health issues (eg, appointment cancellation, anxiety, and depression).
The majority of PGMs on COVID-19 pertained to COVID-19 symptom self-assessment (42.50%) and COVID-19 tests and results (30.84%). The PGMs related to COVID-19 symptom self-assessment and COVID-19 test results had dynamic patterns and peaks similar to the newly confirmed cases in the United States and in Minnesota. The trend of PGMs related to COVID-19 care plans paralleled trends in newly hospitalized cases and deaths. After an initial peak in March, the PGMs on issues such as appointment cancellations and anxiety regarding COVID-19 displayed a declining trend. The majority of message senders were 30-64 years old, married, female, White, or urban residents. This majority was an even higher proportion among patients who sent portal messages on COVID-19.
During the COVID-19 pandemic, patients increased portal messaging utilization to address health care issues about COVID-19 (in particular, symptom self-assessment and tests and results). Trends in message usage closely followed national trends in new cases and hospitalizations. There is a wide disparity for minority and rural populations in the use of PGMs for addressing the COVID-19 crisis.
在新冠疫情期间，患者门户网站及其信息平台实现了远程医疗服务。新冠疫情危机期间患者信息传递的使用模式尚未得到充分研究。在这项研究中，我们建议通过对患者门户网站信息的回顾性分析来描述患者及其对新冠疫情的异步虚拟医疗服务的使用情况。
本研究旨在对门户网站信息进行回顾性分析，以探究患者对新冠疫情危机的异步回应。
我们收集了2020年2月1日至8月31日期间梅奥诊所超过200万条患者生成的信息（PGMs）。我们分析了与新冠疫情相关的PGMs的描述性统计数据，并将患者的社会人口学因素纳入分析。我们从与新冠疫情相关的医疗服务（如新冠症状自我评估、新冠检测及结果）和其他健康问题（如预约取消、焦虑和抑郁）方面分析了关于新冠疫情的PGMs。
关于新冠疫情的大多数PGMs与新冠症状自我评估（42.50%）和新冠检测及结果（30.84%）有关。与新冠症状自我评估和新冠检测结果相关的PGMs具有与美国和明尼苏达州新确诊病例相似的动态模式和峰值。与新冠疫情护理计划相关的PGMs趋势与新住院病例和死亡趋势平行。在3月出现初始峰值后，关于预约取消和对新冠疫情焦虑等问题的PGMs呈下降趋势。大多数信息发送者年龄在30至64岁之间，已婚，女性，白人或城市居民。在发送关于新冠疫情的门户网站信息的患者中，这一多数群体的比例更高。
在新冠疫情期间，患者增加了对门户网站信息传递的使用，以解决关于新冠疫情的医疗问题（特别是症状自我评估、检测及结果）。信息使用趋势与新病例和住院病例的全国趋势密切相关。在使用PGMs解决新冠疫情危机方面，少数族裔和农村人口存在很大差距。
