Evidence map›Paper›PMID 40051493›Full record

ArticleHealth science reports2025

Perception About Factors Affecting Patient Adherence With Cardiac Medicines: A Cross-Sectional Study.

Jesmin Sultana, Rumman Reza, Mohammad Saifuddin, Zakir Hossain Bhuiyan

Abstract read
In one paragraph

Article in Health science reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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.

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

4 authors.

Jesmin SultanaDepartment of Business Administration University of Asia Pacific Dhaka Bangladesh.ORCID 0000-0002-2230-5580
Rumman RezaDepartment of Pharmacy University of Dhaka Dhaka Bangladesh.
Mohammad SaifuddinDepartment of Mathematics and Statistics Bangladesh University of Business and Technology Mirpur Bangladesh.
Zakir Hossain BhuiyanDepartment of Marketing University of Dhaka Dhaka Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Long-term medicines are frequently recommended to cardiovascular patients to control hypertension and lower heart burden. Patient adherence to cardiovascular medicine is crucial since stopping it increases the risk of cardiac adverse events and poses a bigger risk to health. Perception of manufacturers, prescribers and patients were taken into account to identify the most important variables that can have a positive impact on patient satisfaction and thereby increase adherence to prescribed cardiovascular drug therapy. Methods: The empirical study was conducted using quantitative survey method. Questionnaire contained variables influencing patient compliance measured by a 5-point Likert scale where 1 is Results: A total of 11 variables that can affect patient compliance were utilized to create correlation matrix and subsequently to carry on exploratory factor analysis. Hypothesis testing was done by using the regression model. Forty-eight percent of respondents strongly agreed that efficacy of cardiac medicine influences patient compliance. Most of the stakeholders (69%) agreed that the company reputation of cardiac medicine suppliers is an important criterion. Availability and affordability were highly positively correlated variables. The variables were grouped under four categories according to factor loading scores. The four factors were medicinal issues of product strategies, economic issues of price strategies, convenience issues of place strategies and communication issues of promotional strategies. Conclusion: The findings of this study contribute to the comprehension of the factors influencing patient compliance from multiple dimensions. Policy makers should implement and promote policies that encourage patient adherence to long-term prescription drugs.

Indexed as

cardiac medicinecardiovascular diseasedrug adherencefactor analysispatient compliance

Identifiers

PMID40051493
PMCPMC11882383

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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.