Evidence map›Paper›PMID 27417513›Full record

SynthesisBMC public health2016

A systematic review of randomized controlled trials of mHealth interventions against non-communicable diseases in developing countries.

Victor Stephani, Daniel Opoku, Wilm Quentin

Registry-linked trialOpen access · goldAbstract readSystematic Review
In one paragraph

Synthesis in BMC public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03376607 (Community- and mHealth-Based Integrated Management of Diabetes in Primary Healthcare in Rwanda), which is not on this map. Cited by 61 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed, 8 pooled it
32.6field-weighted citation impact, top 1% 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.

NCT03376607 naunknown statusnot on this mapstarted 2019, after this paper: background citation

Community- and mHealth-Based Integrated Management of Diabetes in Primary Healthcare in Rwanda: The D²Rwanda Study

TypeinterventionalSponsorUniversity of AarhusRan2019 to 2021Enrolled209ConditionsDiabetes Mellitus, Telemedicine, Community Health WorkersArmsHBCP programme, mobile health application
3 · Its place in the literature

Who cites it

61 citing papers in PubMed, 8 syntheses or guidelines pooled it, 120 citations in OpenAlex.

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  12. Role of telemedicine in cardiovascular care in low- and middle-income countries (LMICs).American heart journal plus : cardiology research and practice · 2026
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1 more citing papers are in PubMed but not listed here.

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

3 authors at 1 institution in 1 country.

Victor StephaniDepartment of Healthcare Management, Technische Universität Berlin, Berlin, Germany. Victor.Stephani@tu-berlin.de.ORCID 0000-0002-1745-7168
Daniel OpokuDepartment of Healthcare Management, Technische Universität Berlin, Berlin, Germany.
Wilm QuentinDepartment of Healthcare Management, Technische Universität Berlin, Berlin, Germany.
Technische Universität Berlin · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe reasons of deaths in developing countries are shifting from communicable diseases towards non-communicable diseases (NCDs). At the same time the number of health care interventions using mobile phones (mHealth interventions) is growing rapidly. We review studies assessing the health-related impacts of mHealth on NCDs in low- and middle-income countries (LAMICs).

methodsA systematic literature search of three major databases was performed in order to identify randomized controlled trials (RCTs) of mHealth interventions. Identified studies were reviewed concerning key characteristics of the trial and the intervention; and the relationship between intervention characteristics and outcomes was qualitatively assessed.

resultsThe search algorithms retrieved 994 titles. 8 RCTs were included in the review, including a total of 4375 participants. Trials took place mostly in urban areas, tested different interventions (ranging from health promotion over appointment reminders and medication adjustments to clinical decision support systems), and included patients with different diseases (diabetes, asthma, hypertension). Except for one study all showed rather positive effects of mHealth interventions on reported outcome measures. Furthermore, our results suggest that particular types of mHealth interventions that were found to have positive effects on patients with communicable diseases and for improving maternal care are likely to be effective also for NCDs.

conclusionsDespite rather positive results of included RCTs, a firm conclusion about the effectiveness of mHealth interventions against NCDs is not yet possible because of the limited number of studies, the heterogeneity of evaluated mHealth interventions and the wide variety of reported outcome measures. More research is needed to better understand the specific effects of different types of mHealth interventions on different types of patients with NCDs in LaMICs.

Indexed as

AsthmaChronic DiseaseDeveloping CountriesDiabetes MellitusHealth PromotionHumansHypertensionRandomized Controlled Trials as TopicResidence CharacteristicsTelemedicine

Identifiers

PMID27417513
PMCPMC4946127
OpenAlexW2462052607

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.