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Needs-assessment for an artificial intelligence-based Chatbot for pharmacists in HIV care: results from a knowledge–attitudes–practices survey

Moustafa Laymouna, Yuanchao Ma, David Lessard, Kim Engler, Rachel Therrien, Tibor Schuster, Serge Vicente, Sofiane Achiche, Maria Nait El Haj, Benoît Lemire, Abdalwahab Kawaiah and Bertrand Lebouché

Article (2024)

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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 in considering evidence-based needs. Methods: From December 2022 to December 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.

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Department: Institut de génie biomédical
Funders: Canadian Institutes of Health Research Strategy for Patient-Oriented Research Québec Support Unit—Methodological Developments, Partnerships to ImproveHIV Outcomes and Treatments (PIHVOT) - Program from ViiV Healthcare
Grant number: M006, PI: BLeb, 2020–1976-PIHVOT
PolyPublie URL: https://publications.polymtl.ca/59167/
Journal Title: Healthcare (vol. 12, no. 16)
Publisher: MDPI
DOI: 10.3390/healthcare12161661
Official URL: https://doi.org/10.3390/healthcare12161661
Date Deposited: 18 Sep 2024 13:30
Last Modified: 10 Jan 2026 04:21
Cite in APA 7: Laymouna, M., Ma, Y., Lessard, D., Engler, K., Therrien, R., Schuster, T., Vicente, S., Achiche, S., Haj, M. N. E., 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. Healthcare, 12(16), 1661-1661. https://doi.org/10.3390/healthcare12161661

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