HUMAN INTELLIGENCE ON ARTIFICIAL INTELLIGENCE A KAP SURVEY ON ADR DETECTION IN PHARMACOVIGILANCE FOR AMR AND TB DRUG SAFETY
Author(s)
Balamuralidhara Veeranna, PhD1, Gaganashree T V, MPH2;
1JSS Academy of Higher Education & Research, Deputy Dean, Mysore, India, 2JSS College of Pharmacy, Pharmaceutics, Mysuru, India
1JSS Academy of Higher Education & Research, Deputy Dean, Mysore, India, 2JSS College of Pharmacy, Pharmaceutics, Mysuru, India
OBJECTIVES: To evaluate the knowledge, attitudes, and practices (KAP) of students of pharmacy, doctors, and pharmacists regarding detection and reporting of adverse drug reactions (ADR) related to Tuberculosis (TB) and Antimicrobial Resistance (AMR), and to understand attitudes towards pharmacovigilance using Artificial Intelligence (AI) technology.
METHODS: A cross-sectional mixed-methods study (Aug-Sep 2025) surveyed 255 pharmacy students, 20 doctors, and interviewed 4 pharmacists. The questionnaire assessed knowledge (AMR/ADR, TB ADRs, PvPI), attitude (ADR reporting, AI adoption), and practice (reporting, barriers, TB exposure). Quantitative data were analysed with descriptive statistics, and ANOVA (p<0.05); qualitative pharmacist interviews underwent thematic analysis.
RESULTS: A total of 274 participants were analyzed, including pharmacy students, doctors, and pharmacists. Overall awareness of the Pharmacovigilance Program of India (PvPI) was 31%. The mean knowledge scores differed significantly across groups (students 5.8 ± 1.7; doctors 7.2 ± 1.2; pharmacists 6.5 ± 1.5; ANOVA F(2,271)=8.45, p=0.0003). Only 15% of respondents had ever reported an ADR, showing a significant gap between knowledge and practice (χ²(2)=16.2, p=0.0003). Thematic analysis of pharmacist interviews revealed three main themes: operational barriers to ADR reporting, community-level drivers of antimicrobial resistance such as self-medication and incomplete antibiotic use, and a positive attitude toward AI-based pharmacovigilance tools despite usability and feedback concerns.
CONCLUSIONS: The study highlights that although knowledge of ADRs, AMR, and TB is moderate, actual reporting practices remain poor. However, the strong acceptance of AI assisted pharmacovigilance presents a unique opportunity to improve early ADR detection, reduce treatment interruptions in TB, and strengthen antibiotic stewardship against AMR. Integration of digital Pharmacovigilance platforms with PvPI and national digital health missions offers a scalable model for improving regulatory compliance and patient safety in India and Globally.
METHODS: A cross-sectional mixed-methods study (Aug-Sep 2025) surveyed 255 pharmacy students, 20 doctors, and interviewed 4 pharmacists. The questionnaire assessed knowledge (AMR/ADR, TB ADRs, PvPI), attitude (ADR reporting, AI adoption), and practice (reporting, barriers, TB exposure). Quantitative data were analysed with descriptive statistics, and ANOVA (p<0.05); qualitative pharmacist interviews underwent thematic analysis.
RESULTS: A total of 274 participants were analyzed, including pharmacy students, doctors, and pharmacists. Overall awareness of the Pharmacovigilance Program of India (PvPI) was 31%. The mean knowledge scores differed significantly across groups (students 5.8 ± 1.7; doctors 7.2 ± 1.2; pharmacists 6.5 ± 1.5; ANOVA F(2,271)=8.45, p=0.0003). Only 15% of respondents had ever reported an ADR, showing a significant gap between knowledge and practice (χ²(2)=16.2, p=0.0003). Thematic analysis of pharmacist interviews revealed three main themes: operational barriers to ADR reporting, community-level drivers of antimicrobial resistance such as self-medication and incomplete antibiotic use, and a positive attitude toward AI-based pharmacovigilance tools despite usability and feedback concerns.
CONCLUSIONS: The study highlights that although knowledge of ADRs, AMR, and TB is moderate, actual reporting practices remain poor. However, the strong acceptance of AI assisted pharmacovigilance presents a unique opportunity to improve early ADR detection, reduce treatment interruptions in TB, and strengthen antibiotic stewardship against AMR. Integration of digital Pharmacovigilance platforms with PvPI and national digital health missions offers a scalable model for improving regulatory compliance and patient safety in India and Globally.
Conference/Value in Health Info
2026-05, ISPOR 2026, Philadelphia, PA, USA
Value in Health, Volume 29, Issue S6
Code
EPH98
Topic
Epidemiology & Public Health
Topic Subcategory
Safety & Pharmacoepidemiology
Disease
No Additional Disease & Conditions/Specialized Treatment Areas, SDC: Infectious Disease (non-vaccine)