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.

healthcare low-and middle-income countries mConsulting mHealth mobile consulting remote consultation rural areas slums

Journal

Digital health
ISSN: 2055-2076
Titre abrégé: Digit Health
Pays: United States
ID NLM: 101690863

Informations de publication

Date de publication:
Historique:
received: 01 10 2019
accepted: 12 03 2020
entrez: 29 4 2020
pubmed: 29 4 2020
medline: 29 4 2020
Statut: epublish

Résumé

The 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. We 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. We 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. For 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.

Identifiants

pubmed: 32341793
doi: 10.1177/2055207620919594
pii: 10.1177_2055207620919594
pmc: PMC7175047
doi:

Types de publication

Journal Article

Langues

eng

Pagination

2055207620919594

Subventions

Organisme : Medical Research Council
ID : MR/S012729/1
Pays : United Kingdom

Informations de copyright

© The Author(s) 2020.

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Auteurs

Frances Griffiths (F)

Warwick Medical School, University of Warwick, UK.
Centre for Health Policy, University of the Witwatersrand, South Africa.

Jocelyn Anstey Watkins (JA)

Warwick Medical School, University of Warwick, UK.

Caroline Huxley (C)

Warwick Medical School, University of Warwick, UK.

Bronwyn Harris (B)

Warwick Medical School, University of Warwick, UK.
Centre for Health Policy, University of the Witwatersrand, South Africa.

Jonathan Cave (J)

Department of Economics, University of Warwick, UK.

Senga Pemba (S)

St Francis University College of Health and Allied Sciences, Tanzania.

Beatrice Chipwaza (B)

St Francis University College of Health and Allied Sciences, Tanzania.

Richard Lilford (R)

Warwick Medical School, University of Warwick, UK.

Motunrayo Ajisola (M)

University of Ibadan, Nigeria.

Theodoros N Arvanitis (TN)

Institute of Digital Healthcare, WMG, University of Warwick, UK.

Pauline Bakibinga (P)

African Population and Health Research Centre, Kenya.

Muntasir Billah (M)

Independent University Bangladesh, Bangladesh.

Nazratun Choudhury (N)

Independent University Bangladesh, Bangladesh.

David Davies (D)

Warwick Medical School, University of Warwick, UK.

Olufunke Fayehun (O)

University of Ibadan, Nigeria.

Caroline Kabaria (C)

African Population and Health Research Centre, Kenya.

Romaina Iqbal (R)

Aga Khan University, Pakistan.

Eme Owoaje (E)

University of Ibadan, Nigeria.

Omar Rahman (O)

Independent University Bangladesh, Bangladesh.

Jo Sartori (J)

Warwick Medical School, University of Warwick, UK.

Saleem Sayani (S)

Aga Khan University, Pakistan.

Komal Tabani (K)

Aga Khan University, Pakistan.

Rita Yusuf (R)

Independent University Bangladesh, Bangladesh.

Jackie Sturt (J)

The Florence Nightingale Faculty of Nursing, Midwifery & Palliative Care, King's College London, UK.

Classifications MeSH