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Pharmacy Reports
Published by Indonesian Young Scientist Group
ISSN : -     EISSN : 27989798     DOI : https://doi.org/10.51511/pr.2
Core Subject : Health, Science,
Biochemistry, Genetics & Molecular Biology Chemistry Health Professions Immunology & microbiology Medicine & Pharmacology
Pharmacy Reports is an open-access journal publishing peer-reviewed research in the pharmacy field, covering topics in pharmaceutics, biomedicine, pharmaceutical chemistry, bioinformatics, natural product, pharmacology and toxicology, and clinical pharmacy. Pharmacy Reports invites you to submit papers, covering topics in: pharmaceutics (pharmaceutical technology, drug delivery system), biomedicine (molecular biology, biochemistry, immunology, microbiology, biotechnology), pharmaceutical chemistry (analytical chemistry, medicinal chemistry: drug design, drug synthesis, pharmacochemistry, bioinformatic), natural product (fractionation, isolation, purification, and elucidation), pharmacology and toxicology (pharmacokinetics, toxicology), clinical pharmacy (therapeutic drug monitoring, adverse drug reaction, drug interaction), pharmaceutical industry, pharmacy education, community service related to pharmacy.
Arjuna Subject : Pharmacology, Toxicology and Pharmaceutics - Pharmacology, Toxicology and Pharmaceutics (Lain-Lain)
Articles 81 Documents
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Development and partial least squares structural equation modeling (PLS-SEM) validation of an instrument assessing ChatGPT adoption in clinical pharmacy education Septi Nurkhasanah; Ikhwan Yuda Kusuma; Silma Kaaffah; Sunarti Sunarti; Bizhar Ahmed Tayeb; Muhammad Iqbal
Pharmacy Reports Vol. 6 No. 1 (2026): Pharmacy Reports
Publisher : Indonesian Young Scientist Group and UPN Veteran Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51511/pr.143

Abstract

The rapid adoption of ChatGPT in health-profession education has created new opportunities for personalized learning, clinical reasoning support, and academic productivity. However, concerns regarding information reliability, ethical use, and overreliance on artificial intelligence remain insufficiently understood, particularly in clinical pharmacy education. This study aimed to develop and validate a multidimensional instrument for assessing ChatGPT adoption among Indonesian pharmacy students and to examine the structural relationships among its determinants using Partial Least Squares Structural Equation Modeling (PLS-SEM). A cross-sectional study was conducted using convenience sampling between January – March 2026 among 398 pharmacy students from Indonesian higher education institutions with prior ChatGPT experience. The instrument comprised six domains: Knowledge, Perception, Perceived Usefulness, Concern, Application, and Ethics and Usage Boundaries. Content validity was excellent (I-CVI, S-CVI/Ave, and S-CVI/UA = 1.00), while internal consistency and convergent validity were satisfactory (Cronbach's α = 0.857–0.951, composite reliability (ρC) = 0.896–0.959, and AVE = 0.634–0.814). Structural model analysis revealed that Perception (β = 0.630, p < 0.001) and Perceived Usefulness (β = 0.367, p < 0.001) were positively associated with Concern, whereas Concern was negatively associated with Application (β = −0.201, p < 0.001). Perceived Usefulness was also negatively associated with Ethics and Usage Boundaries (β = −0.061, p = 0.021). These findings indicate that pharmacy students recognize both the educational value and potential risks of ChatGPT. The validated instrument may facilitate future evaluations of generative AI adoption and support responsible AI integration in pharmacy education.

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