Evidence map›Paper›PMID 35130099›Full record

Observational studyJournal of telemedicine and telecare2024

Beyond forced telehealth adoption: A framework to sustain telehealth among allied health services.

Emma E Thomas, Monica L Taylor, Elizabeth C Ward, Rita Hwang, Renee Cook, Julie-Anne Ross, Clare Webb, Michael Harris, Carina Hartley, Phillip Carswell and 2 more

Open access · hybridAbstract readObservational Study
In one paragraph

Observational study 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 32 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 3 pooled it
12.8field-weighted citation impact, top 1% 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

32 citing papers in PubMed, 3 syntheses or guidelines pooled it, 68 citations in OpenAlex.

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  15. Reevaluating Value-Based Care in Telemedicine: Clinical Opportunities in the Postpandemic Era.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2024
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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

12 authors at 6 institutions in 1 country.

Emma E ThomasCentre for Online Health, The University of Queensland, Brisbane, Australia.ORCID 0000-0001-8415-0521
Monica L TaylorCentre for Online Health, The University of Queensland, Brisbane, Australia.ORCID 0000-0001-5333-2955
Elizabeth C WardCentre for Functioning and Health Research, Metro South Health, and, School of Health & Rehabilitation Sciences, The University of Queensland, Brisbane Australia.ORCID 0000-0002-2680-8978
Rita HwangCentre for Online Health, The University of Queensland, Brisbane, Australia.
Renee CookCentre for Online Health, The University of Queensland, Brisbane, Australia.
Julie-Anne RossAllied Health, Princess Alexandra Hospital, Metro South Health, Brisbane, Australia.
Clare WebbAllied Health, Queen Elizabeth II Jubilee Hospital, Metro South Health, Brisbane, Australia.
Michael HarrisAllied Health, Bayside Health Service, Metro South Health, Brisbane, Australia.
Carina HartleyAllied Health, Logan Hospital, Metro South Health, Brisbane, Australia.
Phillip CarswellConsumer Advisor, Princess Alexandra Hospital, Metro South Health, Brisbane, Australia.
Clare L BurnsSpeech Pathology Department, Royal Brisbane & Women's Hospital, Metro North Hospital and Health Service, Brisbane, Australia.ORCID 0000-0002-9752-1739
Liam J CafferyCentre for Online Health, The University of Queensland, Brisbane, Australia.ORCID 0000-0003-1899-7534
The University of Queensland · AUPrincess Alexandra Hospital · AULogan Hospital · AUMetro South Health · AUQueen Elizabeth II Jubilee Hospital · AURoyal Brisbane and Women's Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAs COVID-19 restrictions reduce globally, services will determine what components of care will continue via telehealth. We aimed to determine the clinician, service, and system level factors that influence sustained use of telehealth and develop a framework to enhance sustained use where appropriate.

methodsThis study was conducted across 16 allied health departments over four health service facilities (Brisbane, Australia). It used a multi-method observational study design, involving telehealth service activity data from hospital administrative databases and qualitative interviews with allied health staff (n  =  80). Data were integrated and analysed using Greenhalgh's

resultsIncreased telehealth use during the peak COVID period reverted to in-person activity as restrictions eased. Telehealth is unlikely to be sustained without a clear strategy including determination of roles and responsibilities across the organisation. Clinician resistance due to forced adoption remains a key issue. The main motivator for clinicians to use telehealth was improved consumer-centred care. Benefits beyond this are needed to sustain telehealth and improvements are required to make the telehealth experience seamless for providers and recipients. Data were synthesised into a comprehensive framework that can be used as a blueprint for system-wide improvements and service enhancement or redesign. DISCUSSION: Sustainability of telehealth activity beyond the peak COVID period is unlikely without implementation strategies to address consumer, clinician, service, and system factors. The framework can inform how these strategies can be enacted. Whilst developed for allied health disciplines, it is likely applicable to other disciplines.

Indexed as

COVID-19TelemedicineAustraliaDatabases, FactualHealth ServicesHumansallied healthNASSSsustainabilityTelehealth

Identifiers

PMID35130099
PMCPMC10928953
OpenAlexW4210309762

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.