Evidence map›Paper›PMID 38560154›Full record

ArticleHeliyon2024

The effectiveness of green heart application to manage modifiable risk factors of coronary artery disease in Tehran Heart Center: Study protocol for a randomized controlled trial.

Mojgan Ghavami, Saeed Sadeghian, Ayat Ahmadi, Masoumeh Lotfi-Tokaldany, Mahnaz Ashoorkhani, Fateme Haji Ali Asgari

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 93% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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.

Mojgan GhavamiCardiovascular Research Institute, Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran.
Saeed SadeghianCardiovascular Research Institute, Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran.
Ayat AhmadiKnowledge Utilization Research Center, Tehran University of Medical Sciences, Tehran, Iran.
Masoumeh Lotfi-TokaldanyCardiovascular Research Institute, Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran.
Mahnaz AshoorkhaniDepartment of Health Education and Promotion, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Fateme Haji Ali AsgariDepartment of Information Technology, Virtual School, Tehran University of Medical Sciences, Tehran, Iran.
Tehran University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The burden of cardiovascular disease (CVD) is diminishing in developed countries. However, in middle- and low-income countries the CVD death rates are growing. CVD is the most common cause of death and disability in Iran and accounts for nearly half of all mortalities in Iranians. Therefore, preventive strategies by risk factor modification are a top priority in the country. Recently, Mobile-Health (mHealth) technology has been the focus of increasing interest in improving the delivery of cardiovascular prevention, targeting a combination of modifiable risk factors. This parallel-group single-blinded randomized controlled trial study has been designed to evaluate the impact of using a mHealth application on risk factors control. Individuals aged between 25 and 75 years who have documented CVD by coronary angiography in Tehran Heart Center and have at least one uncontrolled risk factor from the three including hypertension, dyslipidemia, and current cigarette smoking will be included. We are going to randomize 1544 patients into two study arms as follows: 1- Intervention: usual care + mHealth 2- Control: usual care + paper-based recommendations and educational materials. After 3 and 6 months of follow-up, the status of risk factors will be determined through outpatient visits and face-to-face interviews for both arms. Outcome: Successful risk factor control will be measured after 3 and 6 months. Nowadays, mHealth is becoming increasingly popular, providing a good opportunity for constant monitoring of risk factors and changing health behavior in a target population. Meanwhile, providing evidence for the effectiveness of health intervention delivery using mobile technologies could help health providers encourage their at-risk population to stop smoking, control blood pressure and blood cholesterol, and participate in regular physical activity. While the burden of CVD is growing in developing countries, this type of intervention can be a cost-effective way to reduce it in these countries.

Indexed as

ApplicationCoronary artery diseasemHealthPreventionRisk factor

Identifiers

PMID38560154
PMCPMC10979141
OpenAlexW4393210047

What OpenQuestion 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 OpenQuestion graph.