Evidence map›Paper›PMID 37428357›Full record

ArticleJournal of racial and ethnic health disparities2024

Psychometric Properties and Assessment of Knowledge, Attitude, and Practice Towards ChatGPT in Pharmacy Practice and Education: a Study Protocol.

Mustapha Mohammed, Narendar Kumar, Mohammed Zawiah, Fahmi Y Al-Ashwal, Auwal Adam Bala, Basira Kankia Lawal, Abubakar Sadiq Wada, Abdulsalam Halboup, Surajuddeen Muhammad, Rabbiya Ahmad and 1 more

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In one paragraph

Article in Journal of racial and ethnic health disparities, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 20% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

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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

11 authors at 9 institutions in 7 countries.

Mustapha MohammedDepartment of Clinical Pharmacy and Pharmacy Practice, Faculty of Pharmaceutical Sciences, Ahmadu Bello University, Zaria, Kaduna, Nigeria. mohammedmmrx@gmail.com.ORCID 0000-0002-5021-1610
Narendar KumarDepartment of Pharmacy Practice, Faculty of Pharmacy, University of Sindh Jamshoro, Sindh, Pakistan.ORCID 0000-0002-2648-3915
Mohammed ZawiahSchool of Pharmaceutical Sciences, Universiti Sains Malaysia, Gelugor, Pulau Pinang, Malaysia.ORCID 0000-0002-3325-1442
Fahmi Y Al-AshwalDepartment of Pharmacy, Al-Maarif University College, Anbar, 31001, Iraq.ORCID 0000-0003-2076-0771
Auwal Adam BalaDepartment of Pharmacology, College of Medicine and Health Sciences, Federal University Dutse, Dutse, Jigawa, Nigeria.ORCID 0000-0003-0402-9639
Basira Kankia LawalDepartment of Clinical Pharmacy and Pharmacy Management, Kaduna State University, Kaduna, Nigeria.ORCID 0000-0003-1975-0648
Abubakar Sadiq WadaDepartment of Pharmacology and Therapeutics, Bayero University, Kano, Nigeria.ORCID 0000-0001-8221-1159
Abdulsalam HalboupSchool of Pharmaceutical Sciences, Universiti Sains Malaysia, Gelugor, Pulau Pinang, Malaysia.ORCID 0000-0002-9026-5656
Surajuddeen MuhammadFaculty of Veterinary Medicine, Ahmadu Bello University, Zaria, Kaduna, Nigeria.ORCID 0000-0001-8567-0748
Rabbiya AhmadSchool of Pharmaceutical Sciences, Universiti Sains Malaysia, Gelugor, Pulau Pinang, Malaysia.ORCID 0000-0003-0648-6825
Abubakar Sha'abanDivision of Population Medicine, School of Medicine, Cardiff University, Heath Park, Cardiff, CF14 4YS, Wales, UK.ORCID 0000-0002-5491-9851
Ahmadu Bello University · NGUniversiti Sains Malaysia · MYBayero University Kano · NGCardiff University · GBFederal University DutseKaduna State University · NGUniversity of Al Maarif · IQUniversity of Science and Technology · YEUniversity of Sindh · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

ChatGPT 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.

Indexed as

Education, PharmacyHealth Knowledge, Attitudes, PracticePsychometricsHumansPharmacistsReproducibility of ResultsStudents, PharmacySurveys and QuestionnairesArtificial intelligenceAttitudeChatGPTKnowledgePharmacyPractice

Identifiers

PMID37428357
OpenAlexW4383710459

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.