Evidence map›Paper›PMID 42829489›Full record

ArticleAsian bioethics review2026

Is Digital Healthcare Better Than None? The Digital Health Technology Dilemma in Low-Income Countries.

Brandon Ferlito, Heidi Mertes

Abstract read
In one paragraph

Article in Asian bioethics review, 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

2 authors.

Brandon FerlitoBioethics Institute Ghent, Department of Philosophy and Moral Sciences, Faculty of Arts and Philosophy, Ghent University, Ghent, Belgium.ORCID 0000-0003-4662-9528
Heidi MertesBioethics Institute Ghent, Department of Philosophy and Moral Sciences, Faculty of Arts and Philosophy, Ghent University, Ghent, Belgium.ORCID 0000-0003-3029-2158

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital health technologies (DHTs) are often promoted as solutions to healthcare access challenges in low-income countries (LICs), where a lack of infrastructure, healthcare professionals, and regulatory capacity makes them especially appealing. In such contexts, DHTs can provide services that would otherwise remain out of reach. Yet their implementation raises significant ethical and regulatory concerns. These concerns are heightened in LICs, where technologies designed in high-income countries may perform less reliably, accountability is weak, and corporate interests often dominate development and governance. This paper compares DHTs with Early Access Programmes (EAPs) for investigational therapies, both of which involve offering imperfect interventions under conditions of uncertainty. While EAPs are tightly regulated, DHTs are often introduced with limited oversight and marketed as final solutions. Unlike pharmaceuticals, which carry immediate risks such as severe side effects, the risks associated with DHTs are typically indirect or delayed, manifesting through misdiagnoses, breaches of privacy and confidentiality, digital inequalities, and the erosion of trust in healthcare systems. Using examples from Uganda and Malawi, the analysis highlights how permissive adoption risks promoting a 'better than nothing' standard of care, while rigid regulation may deny immediate benefits. We argue for a tiered approach: conditional, context-sensitive oversight that expands access without normalising lower standards of care, embedding privacy, confidentiality, equity, and accountability as central design criteria.

Indexed as

AccountabilityDigital health technologiesEarly access programmesEthics and regulationHealth equityLow-income countries

Identifiers

PMID42829489
PMCPMC13633221

What OpenQuestion holds

Textmetadata
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.