Evidence map›Paper›PMID 42281489›Full record

ArticleJournal of global health2026

mHealth for chronic disease management: effects on adherence in Ghanaian patients with diabetes and hypertension.

Pearl Aovare, Felix P Chilunga, Amos Laar, Nicolas Moens, Eric P Moll van Charante, Charles Agyemang

Abstract read
In one paragraph

Article in Journal of global health, 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

6 authors.

Pearl AovareAmsterdam UMC, Department of Public & Occupational Health, Amsterdam, the Netherlands.
Felix P ChilungaAmsterdam UMC, Department of Public & Occupational Health, Amsterdam, the Netherlands.
Amos LaarUniversity of Ghana, Department of Population, Family and Reproductive Health, Accra, Ghana.
Nicolas MoensVrije Universiteit Amsterdam, Athena Institute, Amsterdam, the Netherlands.
Eric P Moll van CharanteAmsterdam UMC, Department of Public & Occupational Health, Amsterdam, the Netherlands.
Charles AgyemangAmsterdam UMC, Department of Public & Occupational Health, Amsterdam, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Medication non-adherence remains a major barrier to effective chronic disease management, particularly in low- and middle-income countries. In Ghana, limited access to continuous care and patient engagement tools contributes to poor adherence among individuals living with type 2 diabetes and hypertension. Mobile health interventions, including smartphone applications, may offer scalable solutions to support long-term medication use and self-management. Here, we assess the effect of a smartphone-based intervention on medication adherence among adults with these conditions. Methods: We conducted a quasi-experimental study among 874 adults with type 2 diabetes or hypertension in Ghana. Participants were assigned to either a smartphone-based intervention, which included medication reminders, educational content, and self-monitoring tools, or standard care involving routine outpatient management and follow-up without access to the smartphone-based intervention. We measured medication adherence at baseline and six months using the Medication Adherence Rating Scale and assessed it through generalised estimating equations and difference-in-differences analyses, adjusting for baseline adherence, age, sex, and treatment setting. Results: Use of the smartphone application was associated with a greater improvement in medication adherence over six months in the overall study population (adjusted beta coefficient (aβ) = 0.062; 95% confidence interval (CI) = 0.010-0.123). Similar improvements were observed among participants with type 2 diabetes (aβ = 0.067; 95% CI = 0.012-0.135) and hypertension (aβ = 0.068; 95% CI = 0.005-0.134). However, there was no statistically significant difference in adherence between the intervention and control groups at six months. Conclusions: Smartphone-based interventions were associated with modest improvements in medication adherence over time, although between-group differences at follow-up were not statistically significant. As access to mobile technology expands across Africa, such interventions may provide scalable strategies to support chronic disease management.

Indexed as

Diabetes Mellitus, Type 2Drug MonitoringHypertensionMedication AdherenceAdherence InterventionsAdultAgedChronic DiseaseDigital HealthDisease ManagementFemaleGhanaHumansMaleMiddle AgedMobile Applications

Identifiers

PMID42281489
PMCPMC13261324

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.