Evidence map›Paper›PMID 24205809›Full record

SynthesisTelemedicine journal and e-health : the official journal of the American Telemedicine Association2014

The impact of mobile health interventions on chronic disease outcomes in developing countries: a systematic review.

Andrea Beratarrechea, Allison G Lee, Jonathan M Willner, Eiman Jahangir, Agustín Ciapponi, Adolfo Rubinstein

Abstract readSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Telemedicine journal and e-health : the official journal of the American Telemedicine Association, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 176 papers, 21 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
176citing papers in PubMed, 21 pooled it
41.2field-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.

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

176 citing papers in PubMed, 21 syntheses or guidelines pooled it, 428 citations in OpenAlex.

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  9. eHealth interventions for people with chronic kidney disease.The Cochrane database of systematic reviews · 2019
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116 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

6 authors at 1 institution in 1 country.

Andrea Beratarrechea1 South American Center of Excellence for Cardiovascular Health, Institute for Clinical Effectiveness and Health Policy , Buenos Aires, Argentina .
Allison G Lee
Jonathan M Willner
Eiman Jahangir
Agustín Ciapponi
Adolfo Rubinstein
Fogarty International Center · US

Funding

Fogarty International Clinical Research Scholars Support Center @ Vanderbilt-AAMCR24TW007988 · FIC · VANDERBILT UNIVERSITY · PI VERMUND, STEN H. · 2007 to 2011
$27.6M
Training In Cardiovascular ResearchT32HL007411 · NHLBI · VANDERBILT UNIVERSITY · PI BECKMAN, JOSHUA A · 1985 to 2020
$7.2M
FIC NIH HHS R24 TW007988NHLBI NIH HHS T32 HL007411
6 · The paper itself

Abstract

introductionRates of chronic diseases will continue to rise in developing countries unless effective and cost-effective interventions are implemented. This review aims to discuss the impact of mobile health (m-health) on chronic disease outcomes in low- and middle-income countries (LMIC). MATERIALS AND

methodsSystematic literature searches were performed using CENTRAL, MEDLINE, EMBASE, and LILACS databases and gray literature. Scientific literature was searched to identify controlled studies evaluating cell phone voice and text message interventions to address chronic diseases in adults in low- or middle-income countries. Outcomes measured included morbidity, mortality, hospitalization rates, behavioral or lifestyle changes, process of care improvements, clinical outcomes, costs, patient-provider satisfaction, compliance, and health-related quality of life (HRQoL).

resultsFrom the 1,709 abstracts retrieved, 163 articles were selected for full text review, including 9 randomized controlled trials with 4,604 participants. Most of the studies addressed more than one outcome. Of the articles selected, six studied clinical outcomes, six studied processes of care, three examined healthcare costs, and two examined HRQoL. M-health positively impacted on chronic disease outcomes, improving attendance rates, clinical outcomes, and HRQoL, and was cost-effective.

conclusionsM-health is emerging as a promising tool to address access, coverage, and equity gaps in developing countries and low-resource settings. The results for m-health interventions showed a positive impact on chronic diseases in LMIC. However, a limiting factor of this review was the relatively small number of studies and patients enrolled, highlighting the need for more rigorous research in this area in developing countries.

Indexed as

Cell PhoneDeveloping CountriesDisease ManagementChronic DiseaseHealth Services AccessibilityHumansOutcome Assessment, Health CareQuality of LifeRisk FactorsTelemedicineText Messaging

Identifiers

PMID24205809
PMCPMC3880111
OpenAlexW2118764052

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.