Evidence map›Paper›PMID 38132083›Full record

ArticleHealthcare (Basel, Switzerland)2023

Telehealth Utilization and Good Care among Informal Caregivers: Health Information National Trends Survey, 2022.

Zahra Mojtahedi, Ivan Sun, Jay J Shen

Open access · goldAbstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2023. 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
2.0field-weighted citation impact, top 13% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Zahra MojtahediDepartment of Healthcare Administration and Policy, School of Public Health, University of Nevada, Las Vegas, NV 89154, USA.ORCID 0000-0001-5133-7744
Ivan SunDepartment of Healthcare Administration and Policy, School of Public Health, University of Nevada, Las Vegas, NV 89154, USA.
Jay J ShenDepartment of Healthcare Administration and Policy, School of Public Health, University of Nevada, Las Vegas, NV 89154, USA.ORCID 0000-0002-4993-8329
University of Nevada, Las Vegas · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic accelerated the adoption of telehealth services. Informal caregivers provide vital support to family and friends. Studying telehealth among informal caregivers is crucial to understanding how technology can support and enhance their caregiving responsibilities, potentially enhancing telehealth services for them as well as their patients. The present study aims to nationally investigate telehealth utilization and quality among informal caregivers.

methodsThis cross-sectional investigation employed the 2022 Health Information National Trends Survey (HINTS) dataset. Informal caregivers, telehealth variables (utilization, good care, technical problems, convenience, and concerns about infection exposure), and sociodemographic factors (age, gender, race/ethnicity, income, education, health insurance, and census regions) were identified based on questions in the survey. Weighted multivariable logistic regression models were employed to calculate odds ratios (ORs), 95% confidence intervals (CIs), and

resultsSignificant disparities in telehealth utilization were detected among informal caregivers (N = 831), when telehealth users were compared to non-users. Those aged 50-64 (OR = 0.36, 95% CI = 0.20-0.65) and 65+ (OR = 0.40, 95% CI = 0.21-0.74) had significantly lower odds of using telehealth than those aged 35-49. Men had significantly lower odds of telehealth utilization (OR = 0.47, 95% CI = 0.25-0.87). Black caregivers compared to Whites had significantly lower odds (OR = 0.49, 95% CI = 0.24-0.99), while health insurance increased odds (OR = 5.31, 95% CI = 1.67-16.86) of telehealth utilization. Informal caregivers who used telehealth were more likely to be perceived as good telehealth caregivers if they had no telehealth technical issues compared to caregivers who had (OR = 4.61, CI = 1.61-13.16;

conclusionsFor the first time, to the best of our knowledge, we have nationally investigated telehealth utilization and quality among informal caregivers. Disparities in telehealth utilization among informal caregivers are evident, with age, gender, race, and health insurance being significant determinants. Telehealth quality is significantly influenced by technical problems and census regions, emphasizing the importance of addressing these aspects in telehealth service development for informal caregivers.

Indexed as

disparityHINTSinformal caregiversqualityracesurveystelehealth

Identifiers

PMID38132083
PMCPMC10742888
OpenAlexW4389893528

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.