Evidence map›Paper›PMID 40395652›Full record

ArticlePatient preference and adherence2025

The Influence of Perception on Self-Efficacy Among Patients with Coronary Artery Disease in Indonesia: A Rasch Analysis.

Aan Nuraeni, Firman Sugiharto, Anastasia Anna, Ristina Mirwanti, Yanny Trisyani, Etika Emaliyawati, Indah Pratiwi Lingga

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Article in Patient preference and adherence, 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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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Aan NuraeniDepartment of Critical Care and Emergency Nursing, Faculty of Nursing, Universitas Padjadjaran, Bandung, West Java, Indonesia.ORCID 0000-0003-1466-7394
Firman SugihartoFaculty of Nursing, Universitas Padjadjaran, Bandung, West Java, Indonesia.ORCID 0000-0003-4223-9573
Anastasia AnnaDepartment of Critical Care and Emergency Nursing, Faculty of Nursing, Universitas Padjadjaran, Bandung, West Java, Indonesia.
Ristina MirwantiDepartment of Critical Care and Emergency Nursing, Faculty of Nursing, Universitas Padjadjaran, Bandung, West Java, Indonesia.ORCID 0000-0001-8600-2784
Yanny TrisyaniDepartment of Critical Care and Emergency Nursing, Faculty of Nursing, Universitas Padjadjaran, Bandung, West Java, Indonesia.ORCID 0000-0002-4862-4950
Etika EmaliyawatiDepartment of Critical Care and Emergency Nursing, Faculty of Nursing, Universitas Padjadjaran, Bandung, West Java, Indonesia.ORCID 0000-0002-9123-4843
Indah Pratiwi LinggaDr. Hasan Sadikin General Education Hospital, Bandung, West Java, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The prevalence of Coronary Artery Disease (CAD) in Indonesia continues to rise, necessitating practical management approaches. Self-efficacy (SE) is critical in supporting CAD patients' autonomy in managing their condition. Patients' perceptions of their disease significantly influence decision-making and health management behaviours. Purpose: This study aimed to identify the influence of perceptions on self-efficacy in managing CAD among diagnosed patients. Patients and Methods: A cross-sectional study design was employed among 102 adult patients with CAD. The sample was selected using convenience sampling based on predefined inclusion and exclusion criteria. Data were collected using the Health Belief Related to Cardiovascular Disease (HBCVD) Scale to assess perceived susceptibility, severity, benefits, and barriers; the Health Belief Model instrument to evaluate cues to action; and the Self-Efficacy Questionnaire for Coronary Heart Disease Management to measure self-efficacy (SE). The scale has been validated and demonstrated strong psychometric properties (validity ≥ 0.7, reliability ≥ 0.8). The Rasch model approach was employed in this study, with data analysis conducted using Pearson correlation and simple linear regression. Results: A total of 91.2% of respondents exhibited high levels of SE. The mean logit scores for CAD management-related perceptions were as follows: perceived severity (0.494 ± 1.28), perceived susceptibility (-0.961 ± 3.06), perceived barriers (0.261 ± 1.00), perceived benefits (3.68 ± 2.25), cues to action (0.968 ± 1.17), and perception (0.544 ± 0.668). The analysis revealed a significant relationship between perceptions and SE ( Conclusion: Perceived severity and perceived barriers significantly influence self-efficacy in CAD patients. These findings provide a foundation for healthcare professionals to design perception-based interventions, such as health education and personalized counselling, to enhance SE within this population.

Indexed as

coronary artery diseaseperceptionself-efficacy

Identifiers

PMID40395652
PMCPMC12091058

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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.