Version 1
: Received: 14 August 2024 / Approved: 15 August 2024 / Online: 16 August 2024 (03:27:39 CEST)
How to cite:
Laymouna, M.; Ma, Y.; Lessard, D.; Engler, K.; Therrien, R.; Schuster, T.; Vicente, S.; Achiche, S.; El Haj, M. N.; Lemire, B.; Kawaiah, A.; Lebouché, B. Needs-Assessment for an Artificial Intelligence-based Chatbot for Pharmacists in HIV Care: Results from a Knowledge-Attitudes-Practices Survey. Preprints2024, 2024081153. https://doi.org/10.20944/preprints202408.1153.v1
Laymouna, M.; Ma, Y.; Lessard, D.; Engler, K.; Therrien, R.; Schuster, T.; Vicente, S.; Achiche, S.; El Haj, M. N.; Lemire, B.; Kawaiah, A.; Lebouché, B. Needs-Assessment for an Artificial Intelligence-based Chatbot for Pharmacists in HIV Care: Results from a Knowledge-Attitudes-Practices Survey. Preprints 2024, 2024081153. https://doi.org/10.20944/preprints202408.1153.v1
Laymouna, M.; Ma, Y.; Lessard, D.; Engler, K.; Therrien, R.; Schuster, T.; Vicente, S.; Achiche, S.; El Haj, M. N.; Lemire, B.; Kawaiah, A.; Lebouché, B. Needs-Assessment for an Artificial Intelligence-based Chatbot for Pharmacists in HIV Care: Results from a Knowledge-Attitudes-Practices Survey. Preprints2024, 2024081153. https://doi.org/10.20944/preprints202408.1153.v1
APA Style
Laymouna, M., Ma, Y., Lessard, D., Engler, K., Therrien, R., Schuster, T., Vicente, S., Achiche, S., El Haj, M. N., Lemire, B., Kawaiah, A., & Lebouché, B. (2024). Needs-Assessment for an Artificial Intelligence-based Chatbot for Pharmacists in HIV Care: Results from a Knowledge-Attitudes-Practices Survey. Preprints. https://doi.org/10.20944/preprints202408.1153.v1
Chicago/Turabian Style
Laymouna, M., Abdalwahab Kawaiah and Bertrand Lebouché. 2024 "Needs-Assessment for an Artificial Intelligence-based Chatbot for Pharmacists in HIV Care: Results from a Knowledge-Attitudes-Practices Survey" Preprints. https://doi.org/10.20944/preprints202408.1153.v1
Abstract
Background: Pharmacists need up-to-date knowledge and decision-making support in HIV care. We aim to develop MARVIN-Pharma, an adapted artificial intelligence-based chatbot initially for people with HIV, to assist pharmacists, considering evidence-based needs.
Methods: From Dec 2022 to Dec 2023, an online needs-assessment survey evaluated Québec pharmacists' knowledge, attitudes, involvement, and barriers relative to HIV care, alongside perceptions relevant to the usability of MARVIN-Pharma. Recruitment involved convenience and snowball sampling, targeting National HIV and Hepatitis Mentoring Program affiliates.
Results: Forty-one pharmacists (28 community, 13 hospital-based) across 15 Québec municipalities participated. Participants perceived their HIV knowledge as moderate (M=3.74/6). They held largely favorable attitudes towards providing HIV care (M=4.02/6). They reported a “little” involvement in the delivery of HIV care services (M=2.08/5), most often ART adherence counseling, refilling, and monitoring. The most common barriers reported to HIV care delivery were a lack of time, staff resources, clinical tools, and HIV information/training, with pharmacists at least somewhat agreeing that they experienced each (M≥4.00/6). On average, MARVIN-Pharma's acceptability and compatibility were in the ‘undecided’ range (M=4.34, M=4.13/7, respectively), while pharmacists agreed to their self-efficacy to use online health services (M=5.6/7).
Conclusion: MARVIN-Pharma might help address pharmacists' knowledge gaps and barriers to HIV treatment and care, but pharmacist engagement in the chatbot’s development seems vital for its future uptake and usability.
Keywords
pharmacists; HIV; chatbot; artificial intelligence; needs assessment; surveys and questionnaires; health information technology; healthcare provider; health knowledge-attitudes-practices; patient care
Subject
Public Health and Healthcare, Public Health and Health Services
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
