Proposed algorithm on a community-based adverse event reporting system for herbal products in the Philippines

John Nicolas B. Mejia, Jocelyn S. Bautista-Palacpac

Abstract


Background: The pharmacovigilance system in the Philippines aims to ensure the safe use of medicines, including herbal products. However, there is a lack of reporting on adverse events related to herbal products, indicating a need for an improved monitoring system.

Objectives: This study seeks to develop a community-based adverse event reporting system for herbal products in Calamba and Los Baños Laguna to enhance pharmacovigilance practices in the Philippines. The primary objectives include assessing consumer knowledge, willingness to report adverse events, and evaluating the feasibility of implementing such a system in community pharmacies.

Methodology: A mixed-methods approach was employed, involving surveys with herbal product consumers and focus group discussions with community pharmacists. Data analysis utilized Likert scaling for surveys and thematic analysis for discussions, providing a comprehensive understanding of consumer perceptions and pharmacist experiences.

Results: The study revealed limited consumer awareness of herbal safety risks but with a positive attitude towards reporting adverse events through community pharmacies. The developed algorithm, tailored to consumer and pharmacist preferences, demonstrated potential benefits in enhancing pharmacovigilance and promoting the rational use of herbal products.

Conclusion: The proposed community-based adverse event reporting system for herbal products in the Philippines offers a practical and accessible solution to improve pharmacovigilance, empower consumers, and ensure the safe utilization of herbal products. Implementation of this system has the potential to significantly enhance public health outcomes and contribute to the overall well-being of
the Filipino population.


Keywords


Herbal Products; Pharmacovigilance; Adverse Events (Aes); Community Based Reporting; Pharmacist

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Print ISSN: 2704-3517; Online ISSN: 2783-042X