Evidence map›Paper›PMID 37505792›Full record

ArticleJMIR formative research2023

Perceptions of COVID-19 and the Use of Health Information Technology Among People Who Are Uninsured: Multimethod Survey Study.

Khushi S Patel, Cynthia F Corbett, Elizabeth M Combs, Sara B Donevant, Margaret J Selph, Lynette M Gibson, Robin M Dawson, Amit P Sheth, Ronda G Hughes

Open access · goldAbstract read
In one paragraph

Article in JMIR formative research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.4field-weighted citation impact, top 32% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

9 authors at 3 institutions in 1 country.

Khushi S PatelArnold School of Public Health, University of South Carolina, Columbia, SC, United States.ORCID https://orcid.org/0000-0002-0613-9981
Cynthia F CorbettAdvancing Chronic Care Outcomes through Research & INnovation Center, College of Nursing, University of South Carolina, Columbia, SC, United States.ORCID https://orcid.org/0000-0003-2706-2116
Elizabeth M CombsAdvancing Chronic Care Outcomes through Research & INnovation Center, College of Nursing, University of South Carolina, Columbia, SC, United States.ORCID https://orcid.org/0000-0002-2254-6958
Sara B DonevantAdvancing Chronic Care Outcomes through Research & INnovation Center, College of Nursing, University of South Carolina, Columbia, SC, United States.ORCID https://orcid.org/0000-0003-1446-4706
Margaret J SelphCollege of Nursing, University of South Carolina, Columbia, SC, United States.ORCID https://orcid.org/0000-0002-0553-0540
Lynette M GibsonMary Black College of Nursing, University of South Carolina - Upstate, Spartanburg, SC, United States.ORCID https://orcid.org/0000-0003-0663-6344
Robin M DawsonAdvancing Chronic Care Outcomes through Research & INnovation Center, College of Nursing, University of South Carolina, Columbia, SC, United States.ORCID https://orcid.org/0000-0001-5764-3558
Amit P ShethArtificial Intelligence Institute, University of South Carolina, Columbia, SC, United States.ORCID https://orcid.org/0000-0002-0021-5293
Ronda G HughesAmerican Hospital Association, Chicago, IL, United States.ORCID https://orcid.org/0000-0003-4929-2553
University of South Carolina · USAmerican Hospital Association · USUniversity of South Carolina Upstate · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs of May 2023, the novel SARS-CoV-2 has claimed nearly 7 million lives globally and >1.1 million lives in the United States. Low-income populations are often disproportionately affected by risk factors such as lifestyle, employment, and limited health literacy. These populations may lack the knowledge of appropriate infection precautions or have reduced access to care during illness, particularly in countries without universal health care.

objectiveWe aimed to explore the perceptions and experiences of COVID-19, including symptoms and risk factors among uninsured individuals seeking care at a free medical clinic, and to obtain respondents' perceptions of and suggestions for adapting a mobile health (mHealth) app to an uninsured population known to have low health literacy.

methodsWe conducted a prospective multimethod survey study with a convenience sample of uninsured adults seeking care at 3 free clinics in the United States. Respondents were questioned about their risk for and awareness of COVID-19 symptoms, COVID-19 testing, current technology use, and the use of technology to facilitate their health regarding COVID-19. Data were analyzed using descriptive statistics (eg, frequencies and mean differences). In addition, a small subset of respondents from one of the clinics (n=10) participated in interviews to provide feedback about the design of a COVID-19 web-based smartphone (mHealth) app.

resultsThe survey respondents (N=240) were 53.8% (n=129) female, were primarily White (n=113, 47.1%), and had a mean age of 50.0 (SD 11.67; range 19-72) years. Most respondents (162/222, 73%) did not think that they were at risk for COVID-19. Although respondents reported only moderate confidence in their knowledge of the short- and long-term symptoms of COVID-19, their knowledge of the symptoms aligned well with reports published by the Centers for Disease Control and Prevention of the most common acute (590/610, 96.7%) and long-term (217/271, 80.1%) symptoms. Most respondents (159/224, 71%) reported an interest in using the mHealth app to gain additional information regarding COVID-19 and available community resources. Respondents who were interviewed provided suggestions to improve the mHealth app but had overall positive perceptions about the potential usefulness and usability of the app.

conclusionsIt was encouraging that the knowledge of COVID-19 symptoms aligned well with the reports published by the Centers for Disease Control and Prevention and that respondents were enthusiastic about using an mHealth app to monitor symptoms. However, it was concerning that most respondents did not think they were at a risk of contracting COVID-19.

Indexed as

COVID-19health literacymedical informaticsmedically uninsuredmobile appsmobile phonetelemedicine

Identifiers

PMID37505792
PMCPMC10389075
OpenAlexW4385330504

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.