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      Patient Portal Messaging for Asynchronous Virtual Care During the COVID-19 Pandemic: Retrospective Analysis

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          Abstract

          Background

          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.

          Objective

          This study aimed to perform a retrospective analysis of portal messages to probe asynchronous patient responses to the COVID-19 crisis.

          Methods

          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).

          Results

          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.

          Conclusions

          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.

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          Most cited references41

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          Factors Associated With Mental Health Outcomes Among Health Care Workers Exposed to Coronavirus Disease 2019

          Key Points Question What factors are associated with mental health outcomes among health care workers in China who are treating patients with coronavirus disease 2019 (COVID-19)? Findings In this cross-sectional study of 1257 health care workers in 34 hospitals equipped with fever clinics or wards for patients with COVID-19 in multiple regions of China, a considerable proportion of health care workers reported experiencing symptoms of depression, anxiety, insomnia, and distress, especially women, nurses, those in Wuhan, and front-line health care workers directly engaged in diagnosing, treating, or providing nursing care to patients with suspected or confirmed COVID-19. Meaning These findings suggest that, among Chinese health care workers exposed to COVID-19, women, nurses, those in Wuhan, and front-line health care workers have a high risk of developing unfavorable mental health outcomes and may need psychological support or interventions.
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            Mental Health and the Covid-19 Pandemic

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              COVID-19 and mental health: A review of the existing literature

              Highlights • Subsyndromal mental health concerns are a common response to the COVID-19 outbreak. • These responses affect both the general public and healthcare workers. • Depressive and anxiety symptoms have been reported in 16–28% of subjects screened. • Novel methods of consultation, such as online services, can be helpful for these patients. • There is a need for further long-term research in this area, especially from other countries
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                Author and article information

                Contributors
                Journal
                JMIR Hum Factors
                JMIR Hum Factors
                JMIR Human Factors
                JMIR Human Factors
                JMIR Publications (Toronto, Canada )
                2292-9495
                Apr-Jun 2022
                5 May 2022
                5 May 2022
                : 9
                : 2
                : e35187
                Affiliations
                [1 ] Department of Artificial Intelligence and Informatics Mayo Clinic Rochester, MN United States
                [2 ] Mayo Clinic Alix School of Medicine Mayo Clinic Scottsdale, AZ United States
                [3 ] Center for Connected Care Mayo Clinic Rochester, MN United States
                [4 ] Department of Cardiovascular Medicine Mayo Clinic Rochester, MN United States
                [5 ] Center for Clinical and Translational Science Mayo Clinic Rochester, MN United States
                [6 ] Department of Psychiatry and Psychology Mayo Clinic Rochester, MN United States
                Author notes
                Corresponding Author: Hongfang Liu Liu.Hongfang@ 123456mayo.edu
                Author information
                https://orcid.org/0000-0001-7367-3626
                https://orcid.org/0000-0001-9148-9531
                https://orcid.org/0000-0002-6155-6788
                https://orcid.org/0000-0001-9090-8028
                https://orcid.org/0000-0003-1312-4195
                https://orcid.org/0000-0001-9970-8604
                https://orcid.org/0000-0001-9763-1164
                https://orcid.org/0000-0003-4433-7839
                https://orcid.org/0000-0003-0066-9524
                https://orcid.org/0000-0002-4709-4142
                https://orcid.org/0000-0003-1753-5928
                https://orcid.org/0000-0002-8597-3447
                https://orcid.org/0000-0002-1495-584X
                https://orcid.org/0000-0001-6349-3752
                https://orcid.org/0000-0002-7194-8160
                https://orcid.org/0000-0003-2570-3741
                Article
                v9i2e35187
                10.2196/35187
                9084445
                35171108
                4e842d02-18c3-473e-abf0-84b5217d462b
                ©Ming Huang, Aditya Khurana, George Mastorakos, Andrew Wen, Huan He, Liwei Wang, Sijia Liu, Yanshan Wang, Nansu Zong, Julie Prigge, Brian Costello, Nilay Shah, Henry Ting, Jungwei Fan, Christi Patten, Hongfang Liu. Originally published in JMIR Human Factors (https://humanfactors.jmir.org), 05.05.2022.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Human Factors, is properly cited. The complete bibliographic information, a link to the original publication on https://humanfactors.jmir.org, as well as this copyright and license information must be included.

                History
                : 24 November 2021
                : 7 December 2021
                : 9 January 2022
                : 14 February 2022
                Categories
                Original Paper
                Original Paper

                patient portal,patient portal message,asynchronous communication,covid-19,utilization,digital health,healthcare,health care,remote healthcare,virtual care,pandemic

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