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AuthorMohammed, Mustapha
AuthorKumar, Narendar
AuthorZawiah, Mohammed
AuthorAl-Ashwal, Fahmi Y.
AuthorBala, Auwal Adam
AuthorLawal, Basira Kankia
AuthorWada, Abubakar Sadiq
AuthorHalboup, Abdulsalam
AuthorMuhammad, Surajuddeen
AuthorAhmad, Rabbiya
AuthorSha'aban, Abubakar
Available date2023-10-24T08:17:14Z
Publication Date2023
Publication NameJournal of Racial and Ethnic Health Disparities
ResourceScopus
ISSN21973792
URIhttp://dx.doi.org/10.1007/s40615-023-01696-1
URIhttp://hdl.handle.net/10576/48820
AbstractChatGPT represents an advanced conversational artificial intelligence (AI), providing a powerful tool for generating human-like responses that could change pharmacy prospects. This protocol aims to describe the development, validation, and utilization of a tool to assess the knowledge, attitude, and practice towards ChatGPT (KAP-C) in pharmacy practice and education. The development and validation process of the KAP-C tool will include a comprehensive literature search to identify relevant constructs, content validation by a panel of experts for items relevancy using content validity index (CVI) and face validation by sample participants for items clarity using face validity index (FVI), readability and difficulty index using the Flesch-Kincaid Readability Test, Gunning Fog Index, or Simple Measure of Gobbledygook (SMOG), assessment of reliability using internal consistency (Cronbach’s alpha), and exploratory factor analysis (EFA) to determine the underlying factor structures (eigenvalues, scree plot analysis, factor loadings, and varimax). The second phase will utilize the validated KAP-C tool to conduct KAP surveys among pharmacists and pharmacy students in selected low- and middle-income countries (LMICs) (Nigeria, Pakistan, and Yemen). The final data will be analyzed descriptively using frequencies, percentages, mean (standard deviation) or median (interquartile range), and inferential statistics like Chi-square or regression analyses using IBM SPSS version 28. A p<0.05 will be considered statistically significant. ChatGPT holds the potential to revolutionize pharmacy practice and education. This study will highlight the psychometric properties of the KAP-C tool that assesses the knowledge, attitude, and practice towards ChatGPT in pharmacy practice and education. The findings will contribute to the potential ethical integration of ChatGPT into pharmacy practice and education in LMICs, serve as a reference to other economies, and provide valuable evidence for leveraging AI advancements in pharmacy.
Languageen
PublisherSpringer Science and Business Media Deutschland GmbH
SubjectArtificial intelligence
Attitude
ChatGPT
Knowledge
Pharmacy
Practice
TitlePsychometric Properties and Assessment of Knowledge, Attitude, and Practice Towards ChatGPT in Pharmacy Practice and Education: a Study Protocol
TypeArticle
dc.accessType Abstract Only


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