Evidence map›Paper›PMID 42405611›Full record

ArticleJournal of medical Internet research2026

Centering Equity During Health Technology Innovation: Scoping Review of Methods and Research Adjustments to Promote Inclusive Coproduction.

Kara Burns, Carrie Van Rensburg, Shoshana Bloom, Cleva Villanueva, Amio Matenga-Ikihele, Ngaree Blow, Antonela Vogranic, Elizabeth M Crone, Clea Du Toit, Maya G Panniset and 11 more

Abstract readScoping Review
In one paragraph

Article in Journal of medical Internet research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

21 authors.

Kara BurnsCentre for Digital Transformation of Health, The University of Melbourne, 700 Swanston Street, Carlton, Victoria, 3050, Australia, 61 0414294967.ORCID http://orcid.org/0000-0002-6491-4405
Carrie Van RensburgCentre for Digital Transformation of Health, The University of Melbourne, 700 Swanston Street, Carlton, Victoria, 3050, Australia, 61 0414294967.ORCID http://orcid.org/0009-0008-4274-1276
Shoshana BloomEquiti Health UK, London, United Kingdom.ORCID http://orcid.org/0000-0002-7864-2623
Cleva VillanuevaInstituto Politécnico Nacional, Mexico City, Mexico City, Mexico.ORCID http://orcid.org/0000-0003-2694-5902
Amio Matenga-IkiheleMoana Connect, Auckland, New Zealand.ORCID http://orcid.org/0000-0003-0017-5137
Ngaree BlowMelbourne Medical School, The University of Melbourne, Parkville, Victoria, Australia.ORCID http://orcid.org/0000-0002-6239-4469
Antonela VogranicPeter MacCallum Cancer Centre, Melbourne, Victoria, Australia.ORCID http://orcid.org/0009-0009-7896-2588
Elizabeth M CronePeter MacCallum Cancer Centre, Melbourne, Victoria, Australia.ORCID http://orcid.org/0000-0002-2705-7459
Clea Du ToitDigital Health Validation Lab, University of Glasgow, Glasgow, Scotland, United Kingdom.ORCID http://orcid.org/0000-0002-7221-6965
Maya G PannisetMelbourne Medical School, The University of Melbourne, Parkville, Victoria, Australia.ORCID http://orcid.org/0000-0002-8353-4061
Mahima KallaCentre for Digital Transformation of Health, The University of Melbourne, 700 Swanston Street, Carlton, Victoria, 3050, Australia, 61 0414294967.ORCID http://orcid.org/0000-0001-5349-0873
Noor El-DassoukiCentre for Digital Therapeutics, University Health Network, Toronto, ON, Canada.ORCID http://orcid.org/0000-0002-9607-4068
Sreshta SheriMelbourne Medical School, The University of Melbourne, Parkville, Victoria, Australia.ORCID http://orcid.org/0009-0005-5626-7614
Syed Mustafa AliCentre for Health Informatics, University of Manchester, Manchester, England, United Kingdom.ORCID http://orcid.org/0000-0001-9393-9049
Lama NazerDepartment of Pharmacy, King Hussein Cancer Center, Amman, Jordan.ORCID http://orcid.org/0000-0002-7550-4751
Lindsay A StevensSchool of Medicine, Stanford University, Stanford, CA, United States.ORCID http://orcid.org/0000-0001-6083-4822
Hasan FerdousCentre for Digital Transformation of Health, The University of Melbourne, 700 Swanston Street, Carlton, Victoria, 3050, Australia, 61 0414294967.ORCID http://orcid.org/0000-0002-2439-2462
Husain Salilul AkareemMacquarie University Innovation, Strategy and Entrepreneurship (ISE) Research Centre, Macquarie Business School, Sydney, Australia.ORCID http://orcid.org/0000-0002-8662-9760
Raima LohaniCentre for Digital Therapeutics, University Health Network, Toronto, ON, Canada.ORCID http://orcid.org/0000-0002-4301-3747
Cecily GilbertCentre for Digital Transformation of Health, The University of Melbourne, 700 Swanston Street, Carlton, Victoria, 3050, Australia, 61 0414294967.ORCID http://orcid.org/0000-0003-3538-8976
Bronwen MernerCentre for Health Equity, The University of Melbourne, Carlton, Victoria, Australia.ORCID http://orcid.org/0000-0001-9263-362X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Digital health has the potential to mitigate health inequity for priority populations who are underserved or marginalized by the health system. However, there is a lack of practical guidance on how to include priority communities in the coproduction of digital health technologies, particularly across the entire lifecycle of innovation, including research, development, and evaluation. Objective: The aim of this scoping review was to systematically identify and assess published methods used during digital health innovation to promote equitable inclusion of priority communities at every stage of the Centre for eHealth Research roadmap for digital health technologies. Methods: This review was based on the Arksey and O'Malley framework for scoping reviews. A 6-stage framework was used to execute the review. To increase the trustworthiness of the findings, an expert advisory group was consulted, and their feedback incorporated into the final manuscript. The Participant, Concept, and Context framework was used to structure the inclusion criteria. Results: The review identified a total of 106 articles, 58 methods, 4 approaches, and 17 research adjustments used to coproduce digital health technologies with priority communities. Common methods across multiple stages included interviews, focus groups, surveys, and workshops; however, the most accessible way to make equity a practical reality during health technology innovation is to appoint a priority population community advisor, or advisory group, from project inception to project closure. Visual and creative methods like photovoice, home tours, and body-mapping were also used, often by priority population researchers themselves. Research adjustments that promote patient safety and comfort, enhanced literacy, peer-support, and recognize sociocultural and demographic considerations have been used to increase the inclusion of priority populations during digital health innovation. Conclusions: Embedding equity is possible using the practical methods and research adjustments identified to promote inclusive coproduction. Professionals working across health care, health informatics, research, digital health, and technology development can use these findings to center digital health equity during technology innovation. This research also recognizes that coproduction must draw on epistemological frameworks, or ways of thinking, which support Indigenous and other priority population knowledge systems. A solely Western lens risks reinforcing structural barriers and overlooking essential knowledge, as demonstrated by this review when the search strategy missed key scholarly works by priority population authors themselves.

Indexed as

Biomedical TechnologyHealth EquityDigital HealthDiversity, Equity, InclusionHumansdigital health technologyequityinclusionmethodsmobile phonepriority populations

Identifiers

PMID42405611
PMCPMC13334495

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.