Evidence map›Paper›PMID 32314970›Full record

Trial reportJournal of medical Internet research2020

Sustainability of mHealth Effects on Cardiometabolic Risk Factors: Five-Year Results of a Randomized Clinical Trial.

Antonio Bernabe-Ortiz, Julia Pauschardt, Francisco Diez-Canseco, J Jaime Miranda

Registry-linked trialOpen access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01295216 (Mobile Health to Prevent Progression of Pre-hypertension in Latin American Urban Settings), which is not on this map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
3.5field-weighted citation impact, top 7% 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.

NCT01295216 naterminatednot on this map

Mobile Health to Prevent Progression of Pre-hypertension in Latin American Urban Settings

TypeinterventionalSponsorInstitute of Nutrition of Central America and PanamaRan2011 to 2013Enrolled637ConditionsHypertension, PrehypertensionArmsMobile technology to promote lifestyle modification
3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 2 syntheses or guidelines pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Review
  6. Review
  7. Review
  8. Multimorbidity.Nature reviews. Disease primers · 2022
    Review
  9. Review
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

4 authors at 1 institution in 1 country.

Antonio Bernabe-OrtizCRONICAS Center of Excellence in Chronic Diseases, Universidad Peruana Cayetano Heredia, Lima, Peru.ORCID 0000-0002-6834-1376
Julia PauschardtCRONICAS Center of Excellence in Chronic Diseases, Universidad Peruana Cayetano Heredia, Lima, Peru.ORCID 0000-0002-9989-4678
Francisco Diez-CansecoCRONICAS Center of Excellence in Chronic Diseases, Universidad Peruana Cayetano Heredia, Lima, Peru.ORCID 0000-0002-7611-8190
J Jaime MirandaCRONICAS Center of Excellence in Chronic Diseases, Universidad Peruana Cayetano Heredia, Lima, Peru.ORCID 0000-0002-4738-5468
Universidad Peruana Cayetano Heredia · PE

Funding

Wellcome TrustWellcome Trust 103994/Z/14/Z
6 · The paper itself

Abstract

backgroundThe long-term effects of mobile health (mHealth) interventions have not been documented, especially in resource-constrained settings.

objectiveThis study aimed to assess the effects of a 1-year mHealth intervention on blood pressure levels and body weight in low-resource urban settings in Peru, 4 years after the completion of the original study.

methodsFour years after the original Grupo de Investigación en Salud Móvil en America Latina (GISMAL) study, we attempted to contact the 212 individuals originally enrolled in the study in Peru. The primary outcomes were systolic and diastolic blood pressure levels and hypertension incidence. Secondary outcome measures were body weight, BMI, and self-reported target behaviors. The study personnel collecting the data were masked to the group assignment. Linear mixed models were used to evaluate the effects of the intervention on primary and secondary outcomes in an intention-to-treat analysis.

resultsData from 164 (77.4%) of the 212 originally enrolled participants were available and analyzed (80 in the intervention group and 84 in the control group). The intervention did not result in changes in systolic (-2.54 mm Hg, 95% CI -8.23 to 3.15) or diastolic (3.41 mm Hg, 95% CI -0.75 to 7.57) blood pressure compared with the control group. The intervention reduced the risk of developing hypertension, but the result was not significant (risk ratio (RR) 0.76, 95% CI 0.45-1.28). However, those who received the intervention had lower body weight (-5.42 kg, 95% CI -10.4 to -0.48) and BMI (-2.56 kg/m2, 95% CI -4.46 to -0.66). In addition, compared to the control participants, those who received ≥50% of the scheduled calls during the intervention had greater reductions in body weight (-6.23 kg, 95% CI -11.47 to -0.99) and BMI (-2.81 kg/m2, 95% CI -4.77 to -0.85).

conclusionsAn mHealth intervention comprising motivational interview calls and SMS text messaging appears to have effects on health 4 years after intervention completion. Although there were no effects on blood pressure levels, important reductions in body weight and BMI were seen 5 years after randomization. Thus, mHealth appears to be a promising preventive strategy for noncommunicable diseases in resource-constrained settings.

trial registrationClinicaltrials.gov NCT01295216; https://clinicaltrials.gov/ct2/show/NCT01295216.

Indexed as

Blood PressureFemaleHeart DiseasesHumansHypertensionMaleRisk FactorsTelemedicineTime Factorsblood pressurebody weightlow- and middle-income countriesmHealth

Identifiers

PMID32314970
PMCPMC7201320
OpenAlexW3007815203

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.