Evidence map›Paper›PMID 39190446›Full record

ReviewJournal of medical Internet research2024

The Unintended Consequences of Telehealth in Australia: Critical Interpretive Synthesis.

Sagda Osman, Kate Churruca, Louise A Ellis, Dan Luo, Jeffrey Braithwaite

Registry-linked trialAbstract readReview
In one paragraph

Review 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. It is linked to trial NCT07299201 (Evaluation of the Efficiency of Proactive Telemedicine vs Face-to-Face Visits for Universal Access and Health Prevention in a Rural Primary Care Team), which is not on this map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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.

NCT07299201 naactive not recruitingnot on this map

Evaluation of the Efficiency of Proactive Telemedicine vs Face-to-Face Visits for Universal Access and Health Prevention in a Rural Primary Care Team: Randomized Non-Inferiority Clinical Trial

TypeinterventionalSponsorFundacio d'Investigacio en Atencio Primaria Jordi Gol i GurinaRan2024 to 2026Enrolled120ConditionsPrimary Health Care, Telemedicine, Face to Face Consultation, Health Care AccessArmsTelemedicine Brief Behavioural Lifestyle Intervention, Face to face Brief Behavioural Lifestyle Intervention
3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Virtual Care and Compassion for Migrants and Refugees: A Scoping Review.Journal of immigrant and minority health · 2026
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Review
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.

Sagda OsmanCentre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, North Ryde, Australia.ORCID 0009-0002-3607-467X
Kate ChurrucaCentre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, North Ryde, Australia.ORCID 0000-0002-9923-3116
Louise A EllisCentre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, North Ryde, Australia.ORCID 0000-0001-6902-4578
Dan LuoCentre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, North Ryde, Australia.ORCID 0000-0001-5291-8428
Jeffrey BraithwaiteCentre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, North Ryde, Australia.ORCID 0000-0003-0296-4957

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite more than 2 decades of telehealth use in Australia and the rapid uptake during the COVID-19 pandemic, little is known about its unintended consequences beyond its planned and intended outcomes.

objectiveThe aim of this review was to synthesize evidence on the unintended consequences of telehealth use in Australia to clarify its impact beyond its planned and intended outcomes.

methodsWe conducted a search of 4 electronic databases: Ovid MEDLINE, Ovid Embase, EBSCO CINAHL, and Scopus. A critical interpretive synthesis approach was adopted for its flexibility and interpretive nature. We extracted data about study characteristics and the types and models of telehealth services. The extracted unintended consequences were coded and mapped into the domains and dimensions of the Australian Health Performance Framework.

resultsOf the 4241 records identified by the search, 94 (2.22%) studies were eligible for data extraction and analysis. Of these 94 studies, 23 (24%) reported largely positive unintended consequences of telehealth associated with health status, while 6 (6%) noted a potential negative impact of telehealth on socioeconomic status. The findings of 4 (4%) of the 94 studies highlighted societal and financial consequences of telehealth beyond the health system. Almost all studies (93/94, 99%) reported unintended consequences under the 5 dimensions of the Australian Health Performance Framework.

conclusionsOur synthesis offers a framework for understanding the unintended consequences of the use of telehealth as an alternative to in-person care in Australia. While we have documented many unintended benefits of telehealth use, our findings also shed light on many challenges of delivering care via telehealth across different domains and dimensions. These findings hold significant practice and policy-making implications for ensuring safe and high-quality care delivery via telehealth.

Indexed as

COVID-19TelemedicineAustraliaHumansPandemicsSARS-CoV-2Australiacritical interpretive synthesisdigital healtheHealthliterature reviewreview methodologytelehealthtelemedicineunintended consequences

Identifiers

PMID39190446
PMCPMC11387926

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.