Evidence map›Paper›PMID 39608002›Full record

ArticleJournal of medical Internet research2024

Ever Use of Telehealth in Nebraska by March 2021: Cross-Sectional Analysis.

Lisa C Smith, George Johnson, Snehal Jadhav, Josiane Kabayundo, Muskan Ahuja, Hongmei Wang, Kendra L Ratnapradipa

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

7 authors.

Lisa C SmithGrace Abbott School of Social Work, University of Nebraska Omaha, Omaha, NE, United States.ORCID 0000-0003-3638-7713
George JohnsonDepartment of Health Promotion, University of Nebraska Medical Center, Omaha, NE, United States.ORCID 0000-0001-5170-4794
Snehal JadhavDepartment of Epidemiology, University of Nebraska Medical Center, Omaha, NE, United States.ORCID 0009-0009-4400-4808
Josiane KabayundoDepartment of Epidemiology, University of Nebraska Medical Center, Omaha, NE, United States.ORCID 0000-0003-4123-3823
Muskan AhujaDepartment of Epidemiology, University of Nebraska Medical Center, Omaha, NE, United States.ORCID 0009-0000-4844-7221
Hongmei WangDepartment of Health Services Research & Administration, University of Nebraska Medical Center, Omaha, NE, United States.ORCID 0000-0003-0810-064X
Kendra L RatnapradipaDepartment of Epidemiology, University of Nebraska Medical Center, Omaha, NE, United States.ORCID 0000-0003-0265-2400

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNationally, COVID-19 spurred the uptake of telehealth to facilitate patients' access to medical care, especially among individuals living in geographically isolated areas. Despite the potential benefits of telehealth to address health care access barriers and enhance health outcomes, there are still disparities in the accessibility and utilization of telehealth services. Hence, identifying facilitators and barriers to telehealth should be prioritized to ensure that disparities are mitigated rather than exacerbated.

objectiveThis study aims to identify factors associated with ever use of telehealth in Nebraska, a primarily rural state with a significant portion of its population living in nonmetropolitan areas.

methodsA stratified random sample of Nebraska households (n=5300), with oversampling of census tracts with at least 30% African American, Hispanic, or Native American populations, received a mailed survey (English and Spanish) with web-based response options about social determinants of health and health care access (October 2020-March 2021). Survey weights were used for all calculations. Chi-square tests were used to compare telehealth use (yes or no) by participant sociodemographic, health, and access variables. Robust Poisson regression models were used to compute prevalence odds ratios (POR) with 95% CIs of telehealth use after controlling for socioeconomic, demographic, and health conditions.

resultsThe overall response rate was 20.8% (1101/5300). About 25.5% of Nebraska adults had ever used telehealth (urban 26.4%, rural 20.8%), despite 97% of respondents reporting internet access (98.3% urban, 90.5% rural). In the chi-square analysis, telehealth use was statistically significantly more common (P<.05) among those who are aged <45 years (32.4%), female (30.7%), and non-Hispanic (25.9%); with at least a bachelor's degree (32.6%); who had a routine checkup (30.2%) or health care visit other than a routine checkup (34.2%); and with any chronic health conditions (29.6%) but did not differ (P≥.05) by race, marital status, income, insurance, having a primary care provider, or 1-way travel time for medical visits. In univariate models, internet access, age, sex, ethnicity, education, any health care visit in the past year, and no chronic health condition were significant (P<.05). When adjusted, education (POR 1.87, 95% CI 0.33-10.63) and sex (1.38, 0.93-2.04) were not significant, but internet access (5.43, 1.62-18.16), age <45 (5.33, 2.22-12.81) and 45-64 years (9.05, 2.37-34.62), non-Hispanic ethnicity (7.40, 2.39-22.90), any health care visit (2.43, 1.23-4.79), and any chronic condition (1.73, 1.09-2.76) were significantly associated with having ever used telehealth.

conclusionsThis study highlights disparities in telehealth use. Despite high coverage, internet access was a significant predictor of telehealth use, highlighting the role of the digital divide in telehealth access and use. Telehealth use was significantly less prevalent among older adults, people without chronic health conditions, and Hispanic individuals. Targeted interventions that address barriers to telehealth use and improve health care access are warranted.

Indexed as

COVID-19Health Services AccessibilityTelemedicineAdolescentAdultAgedCross-Sectional StudiesFemaleHealthcare DisparitiesHumansMaleMiddle AgedNebraskaRural PopulationSARS-CoV-2Surveys and Questionnairesaccessibilityadultchi-square testCOVID-19cross-sectional studydemographicdigital dividedigital healthdisparitygeographical areahealth care accesshealth conditionmedical careNevadaregression modelsocioeconomicsurveytelehealthUnited Statesutilization

Identifiers

PMID39608002
PMCPMC11638684

What OpenQuestion holds

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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.