Evidence map›Paper›PMID 39539722›Full record

ArticleDigital health

Digital health implementation in Australia: A scientometric review of the research.

Michelle A Krahe, Sarah L Larkins, Nico Adams

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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.

Michelle A KraheCollege of Medicine and Dentistry, James Cook University, Queensland, Australia.ORCID https://orcid.org/0000-0002-3223-7825
Sarah L LarkinsCollege of Medicine and Dentistry, James Cook University, Queensland, Australia.
Nico AdamsCollege of Science and Engineering, James Cook University, Queensland, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Australia is committed to establishing a digitally enabled healthcare system that fosters innovation, strengthens data capabilities, and establishes a foundation for future digital health reform. This study provides a comprehensive overview of digital health implementation research in Australia, employing scientometric analysis and data visualization. We assess the existing knowledge base, identify key research areas and frontier trends, and explore their implications for healthcare delivery in rural and remote settings. Methods: A systematic search of the Web of Science Core Collection database was conducted for relevant documents up to December 31, 2023. Analysis of annual growth patterns, journals, institutional and authorship contributions, reference co-citation patterns, and keyword co-occurrence was conducted using scientometrics to create outputs in the form of graphs and tables. Evolutionary analyses were undertaken to delineate the current knowledge base, predominant research themes, and frontier trends in the field. Results: A total of 196 documents related to digital health implementation in Australia were identified, demonstrating sustained growth since 2019. The evolution of the field is characterized by four distinct phases, with a pronounced focus on telehealth, particularly in the context of the COVID-19 pandemic. 'Remote health' emerged as a significant area of contemporary interest. Conclusions: This scientometric study contributes to our understanding of digital health implementation research in Australia. Despite a considerable body of research, there remains a relative paucity of studies focused on implementation in underserved rural and remote areas which arguably stand to benefit the most from digital health advancements. Continued research in this field is crucial to ensure equitable access to the benefits offered by digital health innovations.

Indexed as

AustraliaDigital healthhealthcare deliveryimplementation scienceknowledge discovery

Identifiers

PMID39539722
PMCPMC11558741

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.