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Midwest rural-urban disparities in use of patient online services for COVID-19.
Huang, Ming; Wen, Andrew; He, Huan; Wang, Liwei; Liu, Sijia; Wang, Yanshan; Zong, Nansu; Yu, Yue; Prigge, Julie E; Costello, Brian A; Shah, Nilay D; Ting, Henry H; Doubeni, Chyke; Fan, Jung-Wei; Liu, Hongfang; Patten, Christi A.
  • Huang M; Department of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, Minnesota, USA.
  • Wen A; Department of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, Minnesota, USA.
  • He H; Department of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, Minnesota, USA.
  • Wang L; Department of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, Minnesota, USA.
  • Liu S; Department of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, Minnesota, USA.
  • Wang Y; Department of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, Minnesota, USA.
  • Zong N; Department of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, Minnesota, USA.
  • Yu Y; Department of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, Minnesota, USA.
  • Prigge JE; Center for Connected Care, Mayo Clinic, Rochester, Minnesota, USA.
  • Costello BA; Center for Connected Care, Mayo Clinic, Rochester, Minnesota, USA.
  • Shah ND; Department of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, Minnesota, USA.
  • Ting HH; Department of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, Minnesota, USA.
  • Doubeni C; Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA.
  • Fan JW; Department of Family Medicine, Mayo Clinic, Rochester, Minnesota, USA.
  • Liu H; Department of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, Minnesota, USA.
  • Patten CA; Department of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, Minnesota, USA.
J Rural Health ; 38(4): 908-915, 2022 09.
Article in English | MEDLINE | ID: covidwho-2038119
ABSTRACT

PURPOSE:

Rural populations are disproportionately affected by the COVID-19 pandemic. We characterized urban-rural disparities in patient portal messaging utilization for COVID-19, and, of those who used the portal during its early stage in the Midwest.

METHODS:

We collected over 1 million portal messages generated by midwestern Mayo Clinic patients from February to August 2020. We analyzed patient-generated messages (PGMs) on COVID-19 by urban-rural locality and incorporated patients' sociodemographic factors into the analysis.

FINDINGS:

The urban-rural ratio of portal users, message senders, and COVID-19 message senders was 1.18, 1.31, and 1.79, indicating greater use among urban patients. The urban-rural ratio (1.69) of PGMs on COVID-19 was higher than that (1.43) of general PGMs. The urban-rural ratios of messaging were 1.72-1.85 for COVID-19-related care and 1.43-1.66 for other health care issues on COVID-19. Compared with urban patients, rural patients sent fewer messages for COVID-19 diagnosis and treatment but more messages for other reasons related to COVID-19-related health care (eg, isolation and anxiety). The frequent senders of COVID-19-related messages among rural patients were 40+ years old, women, married, and White.

CONCLUSIONS:

In this Midwest health system, rural patients were less likely to use patient online services during a pandemic and their reasons for its use differ from urban patients. Results suggest opportunities for increasing equity in rural patient engagement in patient portals (in particular, minority populations) for COVID-19. Public health intervention strategies could target reasons why rural patients might seek health care in a pandemic, such as social isolation and anxiety.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Diagnostic study / Observational study Limits: Adult / Female / Humans Language: English Journal: J Rural Health Journal subject: Nursing / Public Health Year: 2022 Document Type: Article Affiliation country: Jrh.12657

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Diagnostic study / Observational study Limits: Adult / Female / Humans Language: English Journal: J Rural Health Journal subject: Nursing / Public Health Year: 2022 Document Type: Article Affiliation country: Jrh.12657