Evidence map›Paper›PMID 39178035›Full record

ArticleJMIR aging2024

Exploring the Sociodemographic and Health-Related Determinants of Telehealth Use Among a Cohort of Older Australians During the COVID-19 Pandemic: Repeated Cross-Sectional Study.

Shanna Fealy, Suzanne McLaren, Claire Ellen Seaman, Melissa Nott, Donovan Jones, Pauletta Irwin, Patricia Logan, Rachel Rossiter, Simon McDonald

Abstract read
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Article in JMIR aging, 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

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

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

9 authors.

Shanna Fealy *School of Nursing, Paramedicine and Healthcare Sciences, Faculty of Science and Health, Charles Sturt University, Port Macquarie, Australia.ORCID 0000-0003-4480-605X
Suzanne McLaren *Ageing Well in Rural and Regional Australia Research Group, Charles Sturt University, Albury, Australia.ORCID 0000-0002-4121-2320
Claire Ellen SeamanAgeing Well in Rural and Regional Australia Research Group, Charles Sturt University, Albury, Australia.ORCID 0000-0003-1565-4130
Melissa NottAgeing Well in Rural and Regional Australia Research Group, Charles Sturt University, Albury, Australia.ORCID 0000-0001-7088-5826
Donovan JonesSchool of Nursing, Paramedicine and Healthcare Sciences, Faculty of Science and Health, Charles Sturt University, Port Macquarie, Australia.ORCID 0000-0001-7750-5830
Pauletta IrwinSchool of Nursing, Paramedicine and Healthcare Sciences, Faculty of Science and Health, Charles Sturt University, Port Macquarie, Australia.ORCID 0000-0003-3242-4273
Patricia LoganAgeing Well Research Group, Charles Sturt University, Albury, Australia.ORCID 0000-0002-7073-3803
Rachel RossiterAgeing Well in Rural and Regional Australia Research Group, Charles Sturt University, Albury, Australia.ORCID 0000-0002-6147-861X
Simon McDonald *The Spatial Data Analysis Network, Charles Sturt University, Port Macquarie, Australia.ORCID 0009-0005-8104-3225

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDuring the COVID-19 pandemic, there was a rapid adoption of telehealth care services as a public health strategy to maintain access to essential health care. In Australia, there has been increasing optimism for the expansion of telehealth services. However, little is known about the patterns and determinants of telehealth adoption among older adults, with concerns that an expansion of telehealth services may only be of benefit to those who already have better access to health care.

objectiveLeveraging data collected by The Sax Institute's 45 and Up COVID Insights study between November 2020 and April 2022, the objective of this study was to identify and describe the sociodemographic and health-related determinants of telehealth adoption and use among a cohort of older Australians. We hypothesized that health-related factors would be key determinants of telehealth adoption for Australians aged ≥65 years during the COVID-19 pandemic.

methodsA repeated cross-sectional design was used. The relationships between telehealth use (classified as low, moderate, or high) and selected sociodemographic and health-related characteristics were assessed using logistic regression techniques. Variable selection and findings were situated within the Technology Acceptance Model, the Unified Theory of Acceptance, and the Use of Technology theoretical frameworks.

resultsOf the 21,830 participants aged ≥65 years, the proportion who indicated adopting telehealth ranged from 50.77% (11,082/21,830) at survey 1 in 2020 to 39.4% (7401/18,782) at survey 5 in 2022. High levels of telehealth use were associated with being female, aged <85 years, living in a major city, cohabiting with others, and being from the most socioeconomically disadvantaged areas (deciles 1-3). Individuals with a disability, chronic disease, multimorbidity, and lower perceived quality of life and those experiencing missed or delayed care were significantly more likely to use telehealth across all levels (P<.001). A temporal association was observed, whereby participants who engaged with telehealth services before or early in the pandemic (as assessed in survey 1) were more likely to continue telehealth use when assessed in survey 5 in 2022 (P<.001).

conclusionsThis research contributes to the broader understanding of telehealth adoption and use among older adults. As telehealth models of care expand, there is an opportunity to tailor these services to the needs of older adults, particularly those living with chronic diseases and multimorbidity, by using targeted strategies that overcome barriers to accessing specialized health care services.

Indexed as

COVID-19TelemedicineAgedAged, 80 and overAustralasian PeopleAustraliaCohort StudiesCross-Sectional StudiesFemaleHealth Services AccessibilityHumansMalePandemicsPatient Acceptance of Health CareSociodemographic FactorsSocioeconomic Factors45 and Up StudyagingAustraliaCOVID-19health-related determinatesmobile phoneolder peopleTechnology Acceptance Modeltelehealthtelemedicine

Identifiers

PMID39178035
PMCPMC11380056

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LicenceCC BY
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Registered trials

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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 OpenQuestion graph.