Evidence map›Paper›PMID 35261092›Full record

ArticleThe Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association2022

Midwest rural-urban disparities in use of patient online services for COVID-19.

Ming Huang, Andrew Wen, Huan He, Liwei Wang, Sijia Liu, Yanshan Wang, Nansu Zong, Yue Yu, Julie E Prigge, Brian A Costello and 6 more

Open access · greenAbstract read
In one paragraph

Article in The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.0field-weighted citation impact, top 15% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 11 citations in OpenAlex.

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  10. Midwest rural-urban disparities in use of patient online services for COVID-19.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors at 2 institutions in 1 country.

Ming HuangDepartment of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, Minnesota, USA.ORCID 0000-0001-7367-3626
Andrew WenDepartment of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, Minnesota, USA.
Huan HeDepartment of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, Minnesota, USA.
Liwei WangDepartment of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, Minnesota, USA.
Sijia LiuDepartment of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, Minnesota, USA.
Yanshan WangDepartment of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, Minnesota, USA.
Nansu ZongDepartment of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, Minnesota, USA.
Yue YuDepartment of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, Minnesota, USA.
Julie E PriggeCenter for Connected Care, Mayo Clinic, Rochester, Minnesota, USA.
Brian A CostelloCenter for Connected Care, Mayo Clinic, Rochester, Minnesota, USA.
Nilay D ShahDepartment of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, Minnesota, USA.
Henry H TingDepartment of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, Minnesota, USA.
Chyke DoubeniDepartment of Family Medicine, Mayo Clinic, Rochester, Minnesota, USA.
Jung-Wei FanDepartment of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, Minnesota, USA.
Hongfang LiuDepartment of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, Minnesota, USA.
Christi A PattenCenter for Clinical and Translational Science, Community Engagement Program, Mayo Clinic, Rochester, Minnesota, USA.
Mayo Clinic in Florida · USMayo Clinic · US

Funding

Mayo Clinic Center for Clinical and Translational Science (CCaTS UL1 Supplement - Dr. Timothy Curry)UL1TR002377 · NCATS · MAYO CLINIC ROCHESTER · PI VESNA D GAROVIC · 2017 to 2026
$78.4M
NCATS NIH HHS UL1 TR002377
6 · The paper itself

Abstract

purposeRural 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.

methodsWe 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.

findingsThe 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.

conclusionsIn 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.

Indexed as

COVID-19AdultCOVID-19 TestingFemaleHumansPandemicsPatient ParticipationRural PopulationCOVID-19health care deliverypatient portalsportal messagingrural health

Identifiers

PMID35261092
PMCPMC9115171
OpenAlexW4221129616

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.