Evidence map›Paper›PMID 38690792›Full record

Trial reportArchives of Iranian medicine2024

Effectiveness of Applying Green Heart, a Smartphone-Based Self-management Intervention to Control Smoking: A Randomized Clinical Trial.

Mojgan Ghavami, Alireza Abdshah, Ayat Ahmadi, Diba Akbarzadeh, Ali Mofidi, Mahnaz Ashoorkhani, Saeed Sadeghian

Open access · hybridAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Archives of Iranian medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 16% 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
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

7 authors at 3 institutions in 2 countries.

Mojgan GhavamiCardiovascular Research Institute, Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran.ORCID 0000-0003-1292-3374
Alireza AbdshahDepartment of Public Health Sciences, Miller School of Medicine, University of Miami, Miami, FL, USA.
Ayat AhmadiKnowledge Utilization Research Center, Tehran University of Medical Sciences, Tehran, Iran.
Diba AkbarzadehStudent Research Committee, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Ali MofidiStudent Research Committee, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Mahnaz AshoorkhaniDepartment of Health Education and Promotion, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Saeed SadeghianCardiovascular Research Institute, Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran.
Tehran University of Medical Sciences · IRShahid Beheshti University of Medical Sciences · IRUniversity of Miami · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCardiovascular diseases (CVDs) pose a significant global health concern and are the most common cause of death and disability, necessitating preventive interventions targeting modifiable risk factors. Recently, mobile-health technology has been developed to improve the delivery of cardiovascular prevention by risk factor modification. The "Green Heart" mobile application (app) was designed to aid in risk factor control among coronary artery disease (CAD) patients.

methodsThis parallel-group, single-blinded randomized controlled trial enrolled 1590 CAD patients, including 668 current smokers, randomly assigned to control (paper-based education) and intervention (application-based) groups. The app encompassed three modules targeting smoking cessation, dyslipidemia control, and blood pressure management. This study evaluated the impact of the smoking cessation module on behavioral change among current smokers. Green Heart assesses nicotine dependence, offering personalized quit plans, educational content, motivational messages, and automated progress tracking. The odds of smoking behavior changes during the 24-week follow-up underwent assessment.

resultsThe intention-to-treat analysis highlighted significantly elevated rates of smoking cessation and reductions in the intervention group versus the control group. Adherence to the app (per-treatment analysis) also demonstrated significantly more favorable smoking behavior changes among the application users. Logistic regression emphasized higher odds of quitting and reduction in smoking in the application group, showing an odds ratio of 2.14 (95% CI: 1.16-3.97) compared to those not using the app (

conclusionOur results confirmed that complete adherence to the app for at least 24 weeks was linked to alterations in cigarette smoking behavior among CAD patients.

Indexed as

Coronary Artery DiseaseMobile ApplicationsSmartphoneSmoking CessationAdultAgedFemaleHumansIranMaleMiddle AgedSelf-ManagementSingle-Blind MethodMobile-healthPreventionSmartphoneSmoking cessationTechnological interventions

Identifiers

PMID38690792
PMCPMC11097320
OpenAlexW4396547882

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.