Evidence mapPaperPMID 39489536Full record

ArticleBMJ open2024

Telehealth service use and quality of care among US adults with diabetes: A cross-sectional study of the 2022 health information national trends survey.

Young-Rock Hong, Zhigang Xie, Oliver T Nguyen, Kea Turner, Ashby F Walker

Abstract read
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Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

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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

5 authors.

Young-Rock HongHealth Services Research Management and Policy, University of Florida, Gainesville, Florida, USA youngrock.h@phhp.ufl.edu afwalker@ufl.edu.ORCID http://orcid.org/0000-0002-0366-5687
Zhigang XieUniversity of North Florida Brooks College of Health, Jacksonville, Florida, USA.
Oliver T NguyenUniversity of Wisconsin-Madison, Madison, Wisconsin, USA.
Kea TurnerMoffitt Cancer Center, Tampa, Florida, USA.
Ashby F WalkerHealth Services Research Management and Policy, University of Florida, Gainesville, Florida, USA youngrock.h@phhp.ufl.edu afwalker@ufl.edu.ORCID http://orcid.org/0000-0002-7554-2344

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo characterise telehealth use, reasons for using or not using telehealth and the factors associated with telehealth use among US adults with diabetes.

designA cross-sectional study.

settingData were sourced from the 2022 Health Information National Trends Survey.

participantsUS adults aged 18 years or older with self-reported diagnosis of diabetes (both type 1 and type 2). PRIMARY AND SECONDARY OUTCOMES: Past 12-month utilisation of telehealth services, modality (eg, video, voice only), overall perception of quality of care, perceived trust in healthcare system and patient-centred communication score.

resultsIn an analysis of 1116 US adults with diabetes, representing 33.6 million individuals, 48.1% reported telehealth use in the past year. Telehealth users were likely to be younger, women, with higher income, and urban dwellers. Older adults (≥65 years) were less likely to use telehealth compared with those aged 18-49 years (OR 0.43, 95% CI 0.20 to 0.90). Higher income and more frequent healthcare visits were predictors of telehealth usage, with no significant differences across race, education or location. Across respondents with telehealth usage, 39.3% reported having video-only, 35.0% having phone (voice)-only and 25.7% having both modalities. The main motivations included provider recommendation, convenience, COVID-19 avoidance and guidance on in-person care needs. Non-users cited preferences for in-person visits, privacy concerns and technology challenges. Patient-reported quality-of-care outcomes were comparable between telehealth users and non-users, with no significant differences observed by telehealth modality or area of residence (metro status).

conclusionsAround half of US adults with diabetes used telehealth services in the past year. Patient-reported care quality was similar for telehealth and in-person visits. However, further efforts are needed to address key barriers to telehealth adoption, including privacy concern, technology difficulties, and care coordination issues.

Indexed as

Quality of Health CareTelemedicineAdolescentAdultAgedCOVID-19Cross-Sectional StudiesDiabetes MellitusFemaleHumansMaleMiddle AgedPatient Acceptance of Health CareUnited StatesYoung Adultgeneral diabetespatient reported outcome measurestelemedicine

Identifiers

PMID39489536
PMCPMC11535679

What Socratic holds

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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 Socratic graph.