Evidence mapPaperPMID 37646291Full record

SynthesisJMIR mHealth and uHealth2023

Assessing the Effectiveness of mHealth Interventions for Diabetes and Hypertension Management in Africa: Systematic Review and Meta-Analysis.

Pearl Aovare, Kasim Abdulai, Amos Laar, Eva L van der Linden, Nicolaas Moens, Edo Richard, Eric P Moll van Charante, Charles Agyemang

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in JMIR mHealth and uHealth, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 3 pooled it
6.6field-weighted citation impact, top 3% of its field
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, 3 syntheses or guidelines pooled it, 15 citations in OpenAlex.

  1. Pooled it
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  6. Article
  7. Review
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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

8 authors at 5 institutions in 2 countries.

Pearl Aovare *Department of Public & Occupational Health, University of Amsterdam, Amsterdam, Netherlands.ORCID 0000-0002-9667-2076
Kasim Abdulai *Department of Clinical Nutrition and Dietetics, University of Cape Coast, Cape Coast, Ghana.ORCID 0000-0002-9645-9638
Amos Laar *Department of Population, Family and Reproductive Health, University of Ghana, Accra, Ghana.ORCID 0000-0001-5557-0164
Eva L van der Linden *Department of Vascular Medicine, University of Amsterdam, Amsterdam, Netherlands.ORCID 0000-0002-4037-1717
Nicolaas Moens *Department of Economics, eHealth, and Digital Transformation, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.ORCID 0000-0002-8239-1695
Edo Richard *Department of Neurology, University of Amsterdam, Amsterdam, Netherlands.ORCID 0000-0002-7250-3390
Eric P Moll van Charante *Department of Public & Occupational Health, University of Amsterdam, Amsterdam, Netherlands.ORCID 0000-0002-1489-5218
Charles Agyemang *Department of Public & Occupational Health, University of Amsterdam, Amsterdam, Netherlands.ORCID 0000-0002-3882-7295
University of Amsterdam · NLRadboud University Nijmegen · NLUniversity of Cape Coast · GHUniversity of Ghana · GHVrije Universiteit Amsterdam · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Mobile health (mHealth) interventions are effective in improving chronic disease management, mainly in high-income countries. However, less is known about the efficacy of mHealth interventions for the reduction of cardiovascular risk factors, including for hypertension and diabetes, which are rapidly increasing in low- and middle-income countries. Objective: This study aimed to assess the efficacy of mHealth interventions for diabetes and hypertension management in Africa. Methods: We searched PubMed, Cochrane Library, Google Scholar, African Journals Online, and Web of Science for relevant studies published from inception to July 2022. The main outcomes of interest were changes in hemoglobin A1c (HbA1c), systolic blood pressure, and diastolic blood pressure. The random or fixed effect model was used for the meta-analysis, and the I2 statistic was used to gauge study heterogeneity. Z tests and P values were used to evaluate the effect of mHealth interventions on HbA1c and blood pressure levels. Results: This review included 7 studies (randomized controlled trials) with a total of 2249 participants. Two studies assessed the effect of mHealth on glycemic control, and 5 studies assessed the effect of mHealth on blood pressure control. The use of mHealth interventions was not associated with significant reductions in HbA1c levels (weighted mean difference [WMD] 0.20, 95% CI -0.40 to 0.80; P=.51) among patients with diabetes and systolic blood pressure (WMD -1.39, 95% CI -4.46 to 1.68; P=.37) and diastolic blood pressure (WMD 0.36, 95% CI -1.37 to 2.05; P=.69) among patients with hypertension. After conducting sensitivity analyses using the leave-one-out method, the Kingue et al study had an impact on the intervention, resulting in a 2 mm Hg reduction in systolic blood pressure (WMD -2.22, 95% CI -3.94 to -0.60; P=.01) but was nonsignificant for diastolic blood pressure and HbA1c levels after omitting the study. Conclusions: Our review provided no conclusive evidence for the effectiveness of mHealth interventions in reducing blood pressure and glycemic control in Africa among persons with diabetes and hypertension. To confirm these findings, larger randomized controlled trials are required.

Indexed as

Diabetes MellitusHypertensionAfricaBlood PressureGlycated HemoglobinHumansGlycated HemoglobinAfricablood pressureblood sugarchronic diseasediabeteseffectivenessefficiencyglycemichypertensioninterventioninterventionsmanagementmHealthmobile healthresource

Identifiers

PMID37646291
PMCPMC10477453
OpenAlexW4380084547

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.