Evidence map›Paper›PMID 42870547›Full record

ArticleFuture cardiology2026

Development and psychometric validation of a barrier assessment tool for adherence to prescribed medication regimens in post-PCI patients.

Anit Kumar Sinha, Pandey Pratima, Pooja Arora, Basant Kumar, Neelam Dahiya, Pramil Tiwari

Abstract readValidation Study
In one paragraph

Article in Future cardiology, 2026. 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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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Anit Kumar SinhaDepartment of Pharmacy Practice and Clinical Research, National Institute of Pharmaceutical Education and Research (NIPER), S.A.S. Nagar (Mohali), India.ORCID 0009-0008-2726-1776
Pandey PratimaDepartment of Pharmacy Practice and Clinical Research, National Institute of Pharmaceutical Education and Research (NIPER), S.A.S. Nagar (Mohali), India.ORCID 0009-0006-2761-4151
Pooja AroraDepartment of Pharmacy Practice and Clinical Research, National Institute of Pharmaceutical Education and Research (NIPER), S.A.S. Nagar (Mohali), India.ORCID 0009-0009-4140-2229
Basant KumarDepartment of Cardiology, Advanced Cardiac Centre, Post Graduate Institute of Medical Education and Research, Chandigarh, India.ORCID 0000-0003-1849-4953
Neelam DahiyaDepartment of Cardiology, Advanced Cardiac Centre, Post Graduate Institute of Medical Education and Research, Chandigarh, India.ORCID 0000-0002-1534-6923
Pramil TiwariDepartment of Pharmacy Practice and Clinical Research, National Institute of Pharmaceutical Education and Research (NIPER), S.A.S. Nagar (Mohali), India.ORCID 0000-0003-0442-7880

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCoronary artery disease (CAD) is a leading cause of morbidity and mortality worldwide, affecting approximately 197 million people and causing over 9 million deaths annually. Although percutaneous coronary intervention (PCI) improves survival, medication non-adherence affects more than one-quarter of patients after myocardial infarction. Validated instruments assessing multidimensional adherence barriers in post-PCI patients remain limited. This study developed and validated the Post-PCI Barrier Scale for Adherence to Prescribed Medication Regimens (PCI-BSAR).

methodsA methodological cross-sectional study was conducted in a tertiary care cardiology outpatient department. Questionnaire items were generated through literature review, patient interviews, and the WHO multidimensional adherence framework. Content validity, pilot testing (

resultsThe final 23-item PCI-BSAR demonstrated excellent content validity (S-CVI/Ave = 0.92). Exploratory factor analysis identified four domains: patient- and clinical-related, treatment and healthcare interaction-related, socioeconomic, and healthcare access and system-related barriers, explaining 69.6% of the variance. The questionnaire showed high internal consistency (Cronbach's α = 0.909), composite reliability (0.848-0.938), AVE >0.50, and HTMT <0.85.

conclusionPCI-BSAR is a reliable and valid instrument for identifying multidimensional medication adherence barriers in post-PCI patients and may support individualized adherence assessment during routine outpatient follow-up.

Indexed as

Coronary Artery DiseaseDrug MonitoringMedication AdherencePercutaneous Coronary InterventionPsychometricsAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedReproducibility of ResultsSurveys and Questionnairescoronary artery diseaseexploratory factor analysisPercutaneous coronary interventionpsychometric analysisscale development and validation

Identifiers

PMID42870547
PMCPMC13750243

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