Evidence map›Paper›PMID 39697854›Full record

ArticleARYA atherosclerosis2024

Development and efficacy of mobile application to improve medication adherence for persons with cardiac disease.

Raziyeh Ghafouri, Roxana Karbaschi, AliReza Mashhadi Hosein, Shakila Sharifian

Abstract read
In one paragraph

Article in ARYA atherosclerosis, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
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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.

Raziyeh GhafouriDepartment of Medical Surgical Nursing, School of Nursing and Midwifery, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Roxana KarbaschiDepartment of Basic Sciences, School of Nursing and Midwifery, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
AliReza Mashhadi HoseinStudent Research Committee, School of Nursing & Midwifery, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Shakila SharifianStudent Research Committee, School of Nursing & Midwifery, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients with cardiovascular disease need to adhere to their treatment and care recommendations to prevent the progression of their condition and improve their quality of life. In this regard, this study was conducted to develop a mobile application and test its effectiveness in improving medication adherence among persons with cardiac disease.

methodsThe study was conducted in two stages. The first stage involved the preparation of the "Mobile Application for Persons with Cardiac Disease" using the cascade model. In the second stage, 121 patients who were hospitalized in the cardiac intensive care unit of Ayatollah Taleghani Medical Education Center of Tehran from March to August 2023 were enrolled. The participants were randomly assigned to either the control group (63 people) or the intervention group (58 people). The study collected data using a medication adherence questionnaire on the 7th, 14th, and 21st day after discharge and compared the results with the control group. The data were analyzed using SPSS 20.

resultsThe average age of the control group was 56.75 ± 11.38 years, and the average age of the intervention group was 57.03 ± 11.55 years. The comparison of the average medication adherence with independent t-tests showed a significant difference between the intervention and control groups on the 7th, 14th, and 21st day after discharge (P<0.01). The results of the repeated measures test in each group also showed that the difference between the groups increased over time (P<0.001).

conclusionThe results of the study showed that the mobile application is effective in improving medication adherence among heart patients.

Indexed as

EffectivenessHeart DiseaseMedication AdherenceMobile Applications

Identifiers

PMID39697854
PMCPMC11651310

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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.