Evidence map›Paper›PMID 35578537›Full record

ArticleJournal of telemedicine and telecare2024

Attitudes toward telemedicine among urban and rural residents.

Meghan Tipre, Isabel C Scarinci, Vishruti N Pandya, Young-Il Kim, Sejong Bae, Sylvia Peral, Claudia Hardy, Monica L Baskin

Abstract read
In one paragraph

Article in Journal of telemedicine and telecare, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
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

20 citing papers in PubMed.

  1. Barriers and Facilitators to Telehealth in Underserved Rural Communities: A Mixed-Methods Formative Evaluation.Health expectations : an international journal of public participation in health care and health policy · 2026
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  7. Changes in driving distance to specialist physicians in the era of virtual care: a population-based cohort study in Ontario, Canada.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2025
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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

8 authors.

Meghan TipreDivision of Preventive Medicine, Office of the Outreach and Engagement, O'Neal Comprehensive Cancer Center, School of Medicine, The University of Alabama at Birmingham (UAB), Birmingham, AL, USA.ORCID 0000-0003-0859-6024
Isabel C ScarinciO'Neal Comprehensive Cancer Center, UAB, Birmingham, AL, USA.
Vishruti N PandyaDivision of Preventive Medicine, Office of the Outreach and Engagement, O'Neal Comprehensive Cancer Center, School of Medicine, The University of Alabama at Birmingham (UAB), Birmingham, AL, USA.
Young-Il KimDivision of Preventive Medicine, Office of the Outreach and Engagement, O'Neal Comprehensive Cancer Center, School of Medicine, The University of Alabama at Birmingham (UAB), Birmingham, AL, USA.
Sejong BaeDivision of Preventive Medicine, Office of the Outreach and Engagement, O'Neal Comprehensive Cancer Center, School of Medicine, The University of Alabama at Birmingham (UAB), Birmingham, AL, USA.
Sylvia PeralDivision of Preventive Medicine, Office of the Outreach and Engagement, O'Neal Comprehensive Cancer Center, School of Medicine, The University of Alabama at Birmingham (UAB), Birmingham, AL, USA.
Claudia HardyO'Neal Comprehensive Cancer Center, UAB, Birmingham, AL, USA.
Monica L BaskinDivision of Preventive Medicine, Office of the Outreach and Engagement, O'Neal Comprehensive Cancer Center, School of Medicine, The University of Alabama at Birmingham (UAB), Birmingham, AL, USA.

Funding

XRAY CRYSTALLOGRAPHYP30CA013148 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Robert S Welner · 1985 to 2026
$165.9M
NCI NIH HHS P30 CA013148
6 · The paper itself

Abstract

introductionAdoption of telemedicine by healthcare facilities has dramatically increased since the start of coronavirus pandemic; yet, major differences exist in universal acceptance of telemedicine across different population groups. The goal of this study was to examine population-based factors associated with current and/or future use of telemedicine in Alabama.

methodsA cross-sectional survey was administered to 532 participants online or by phone, in four urban and eight rural counties in Alabama. Data were collected on: demographics, health insurance coverage, medical history, access to technology, and its use in accessing healthcare services. Generalized logit regression models were used to estimate the odds of choosing "virtual visit" and "phone communication" compared to "in-person visit" for the preferred choice of visit with the healthcare provider; as well as odds for willingness to participate in "virtual visit" in the future.

resultsOur study sample had a mean age of 43 (±15) years, 72.9% women, 45.9% Black or African American; 59.4% population living in an urban county. The odds of "phone communication" were higher compared to the odds of "in-person visit", with a unit increase in age (odds ratio: 1.02, 95% confidence interval: 1.00-1.03), after adjusting for other covariates. Among participants with past experience of virtual communications, the odds for choosing "virtual visit" were significantly higher compared to choice of in-person visit (odds ratio for virtual visit: 3.23, 95% confidence interval: 2.01-5.18), adjusted for other covariates. Further, people with college or more education were 71% less likely to choose "No" compared to those with high school or lower general education development education for future virtual visit [odds ratio for college or more: 0.29, 95% confodence interval: 0.10-0.87). Likewise, participants residing in rural counties were 57% less likely to choose "No" compared to urban counties for future virtual visit (odds ratio for rural participants: 0.43, 95% confidence interval:0.19-0.97). DISCUSSION: Our study found notable differences in age, education, and rurality for use and/or preference for telemedicine. Medical institutions and healthcare providers will need to account for these differences to ensure that the implementation of telemedicine does not exacerbate existing health disparities.

Indexed as

Coronavirus InfectionsTelemedicineAdultAlabamaCommunicationCross-Sectional StudiesFemaleHumansMaleruralservice, utilization, urbanTelehealthtelemedicine

Identifiers

PMID35578537
PMCPMC12947939

What OpenQuestion holds

Textmetadata
LicenceTDM
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.