Evidence map›Paper›PMID 32341793›Full record

ArticleDigital health

Mobile consulting (mConsulting) and its potential for providing access to quality healthcare for populations living in low-resource settings of low- and middle-income countries.

Frances Griffiths, Jocelyn Anstey Watkins, Caroline Huxley, Bronwyn Harris, Jonathan Cave, Senga Pemba, Beatrice Chipwaza, Richard Lilford, Motunrayo Ajisola, Theodoros N Arvanitis and 15 more

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 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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

  1. Pooled it
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  3. Review
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  10. The Recent Progress and Applications of Digital Technologies in Healthcare: A Review.International journal of telemedicine and applications · 2020
    Review
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  12. 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

25 authors.

Frances GriffithsWarwick Medical School, University of Warwick, UK.ORCID https://orcid.org/0000-0002-4173-1438
Jocelyn Anstey WatkinsWarwick Medical School, University of Warwick, UK.ORCID https://orcid.org/0000-0003-4984-1057
Caroline HuxleyWarwick Medical School, University of Warwick, UK.ORCID https://orcid.org/0000-0001-9755-6096
Bronwyn HarrisWarwick Medical School, University of Warwick, UK.
Jonathan CaveDepartment of Economics, University of Warwick, UK.
Senga PembaSt Francis University College of Health and Allied Sciences, Tanzania.
Beatrice ChipwazaSt Francis University College of Health and Allied Sciences, Tanzania.
Richard LilfordWarwick Medical School, University of Warwick, UK.
Motunrayo AjisolaUniversity of Ibadan, Nigeria.
Theodoros N ArvanitisInstitute of Digital Healthcare, WMG, University of Warwick, UK.
Pauline BakibingaAfrican Population and Health Research Centre, Kenya.
Muntasir BillahIndependent University Bangladesh, Bangladesh.
Nazratun ChoudhuryIndependent University Bangladesh, Bangladesh.
David DaviesWarwick Medical School, University of Warwick, UK.
Olufunke FayehunUniversity of Ibadan, Nigeria.
Caroline KabariaAfrican Population and Health Research Centre, Kenya.
Romaina IqbalAga Khan University, Pakistan.
Akinyinka OmigbodunUniversity of Ibadan, Nigeria.ORCID https://orcid.org/0000-0002-6377-9299
Eme OwoajeUniversity of Ibadan, Nigeria.
Omar RahmanIndependent University Bangladesh, Bangladesh.ORCID https://orcid.org/0000-0002-0606-2507
Jo SartoriWarwick Medical School, University of Warwick, UK.
Saleem SayaniAga Khan University, Pakistan.
Komal TabaniAga Khan University, Pakistan.ORCID https://orcid.org/0000-0002-2062-0325
Rita YusufIndependent University Bangladesh, Bangladesh.
Jackie SturtThe Florence Nightingale Faculty of Nursing, Midwifery & Palliative Care, King's College London, UK.

Funding

Medical Research Council MR/S012729/1
6 · The paper itself

Abstract

objectiveThe poorest populations of the world lack access to quality healthcare. We defined the key components of consulting via mobile technology (mConsulting), explored whether mConsulting can fill gaps in access to quality healthcare for poor and spatially marginalised populations (specifically rural and slum populations) of low- and middle-income countries, and considered the implications of its take-up.

methodsWe utilised realist methodology. First, we undertook a scoping review of mobile health literature and searched for examples of mConsulting. Second, we formed our programme theories and identified potential benefits and hazards for deployment of mConsulting for poor and spatially marginalised populations. Finally, we tested our programme theories against existing frameworks and identified published evidence on how and why these benefits/hazards are likely to accrue.

resultsWe identified the components of mConsulting, including their characteristics and range. We discuss the implications of mConsulting for poor and spatially marginalised populations in terms of competent care, user experience, cost, workforce, technology, and the wider health system.

conclusionsFor the many dimensions of mConsulting, how it is structured and deployed will make a difference to the benefits and hazards of its use. There is a lack of evidence of the impact of mConsulting in populations that are poor and spatially marginalised, as most research on mConsulting has been undertaken where quality healthcare exists. We suggest that mConsulting could improve access to quality healthcare for these populations and, with attention to how it is deployed, potential hazards for the populations and wider health system could be mitigated.

Indexed as

healthcarelow-and middle-income countriesmConsultingmHealthmobile consultingremote consultationrural areasslums

Identifiers

PMID32341793
PMCPMC7175047

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.