Evidence map›Paper›PMID 41534074›Full record

ArticleJournal of medical Internet research2026

Africa's Digital Health Revolution: The Digital Fit-Viability Model to Move From Innovation to Scaled Implementation.

Afra Jiwa, Antony Ngatia, Karim Benali, Niclas Boehmer, Sangu Delle, Patrick Emedom-Nnamdi, Chris Opoku Fofie, Christine M O'Brien, Tobi Olatunji, Kate Obayabgona and 4 more

Abstract read
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. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Afra Jiwa *Program for Global Surgery and Social Change, Harvard Medical School, Boston, MA, United States.ORCID https://orcid.org/0000-0002-6488-0698
Antony Ngatia *Statsspeak Analytics, Nairobi, Kenya.ORCID https://orcid.org/0009-0002-7434-5055
Karim BenaliGlobal Health and Service Advisory Council, Harvard Medical School, Boston, MA, United States.ORCID https://orcid.org/0009-0001-6743-9638
Niclas BoehmerHasso Plattner Institute, University of Potsdam, Postdam, Germany.ORCID https://orcid.org/0000-0001-5102-449X
Sangu DelleCarePoint, Accra, Ghana.ORCID https://orcid.org/0009-0002-2053-1389
Patrick Emedom-NnamdiDepartment of Biostatistics, Harvard T.Chan School of Public Health, Boston, MA, United States.ORCID https://orcid.org/0000-0003-4442-924X
Chris Opoku FofieGhana Health Service, Accra, Ghana.ORCID https://orcid.org/0000-0003-1490-3289
Christine M O'BrienDepartment of Biomedical Engineering, Washington University in St. Louis, St Louis, MO, United States.ORCID https://orcid.org/0000-0001-5353-9163
Tobi OlatunjiIntron Health, London, United Kingdom.ORCID https://orcid.org/0009-0009-7214-2132
Kate ObayabgonaProgram for Global Surgery and Social Change, Harvard Medical School, Boston, MA, United States.ORCID https://orcid.org/0009-0004-7359-7554
Milind TambeCenter for Research on Computation and Society, Harvard John a. Paulson School of Engineering and Applied Sciences, Boston, MA, United States.ORCID https://orcid.org/0000-0003-3296-3672
Richard Ribon FletcherMechanical Engineering Department, Massachusetts Institute of Technology, Boston, MA, United States.ORCID https://orcid.org/0000-0001-8470-8417
Adeline Adwoa Boatin *Program for Global Surgery and Social Change, Harvard Medical School, Boston, MA, United States.ORCID https://orcid.org/0000-0003-3420-7846
Bethany Hedt-Gauthier *Program for Global Surgery and Social Change, Harvard Medical School, Boston, MA, United States.ORCID https://orcid.org/0000-0002-9689-5413

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital innovations hold immense potential to transform health care delivery, particularly in sub-Saharan Africa, where financial, geographical, and infrastructural constraints continue to hinder progress toward universal health care delivery. Although a growing health tech sector offers creative solutions, few digital health interventions reach scaled implementation. In this paper, we present the digital fit/viability model-an adapted determinant framework to describe facilitators and barriers to moving from digital tools to integrated digital health implementation. We then use this model to describe the specific challenges and recommended solutions when developing digital health tools for health systems in sub-Saharan Africa.

Indexed as

Delivery of Health CareAfrica South of the SaharaDigital HealthHumansAfricadigital healthdigital health solutionsdigital technologiesfit/viability modelhealth care access

Identifiers

PMID41534074
PMCPMC12853090

What Socratic 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 Socratic graph.