Prevalence and Signal Detection of Adverse Drug Events from Inappropriate Sources in the Community: an Analysis of Reports in the Thai Databases on Adverse Drug Events (Thai Vigibase)

Authors

  • Naphaphorn Puripunyavanich Food and Drug Administration, Ministry of Public Health
  • Surasak Saokaew School of Pharmaceutical Sciences, University of Payao, Thailand

Keywords:

self-medication, adverse drug events, rational use of drugs

Abstract

Self-medication from inappropriate drug sources in the community can result in adverse events (AEs) that require hospitalization. Previous studies are not nationwide studies on the magnitude of the problem and risk. We conducted a retrospective descriptive study using data from spontaneous AE reports in the Thai Vigibase for 2021–2022 to analyze the national level of the prevalence of AEs from drugs received from inappropriate drug sources and assessed the signals detection for risk of severe AEs in three target drug groups: non-steroidal anti-inflammatory drugs (NSAIDs), steroids, and antibiotics. The data were analyzed using descriptive statistics, encompassing numbers and percentages. Additionally, reporting odds ratios and 95% confidence intervals were calculated to assess risk signals. By using the STATA/IC version 14.0, we could make an analysis, which revealed that the number of AEs stemming from inappropriate drug distribution sources in 2021 and 2022 was 279 out of a total of 136,453 events and 295 out of a total of 99,642 events, respectively. Grocery stores were the most common inappropriate source of drug distribution, accounting for 75.27 percent of AEs in 2021 and 72.88 percent in 2022. The top three drug groups that caused the most AEs in both years were anti-inflammatory and anti-rheumatic products, systemic antibiotics, and analgesics, respectively. The top three drugs with the most AEs in both years were NSAIDs and antibiotics, namely piroxicam, tetracycline, and diclofenac. The prevalence of AEs from all drugs received from inappropriate drug sources in 2021 and 2022 was 0.20 and 0.30, respectively. The prevalence of the target drug groups to be monitored, namely NSAIDs, antibiotics, and steroids, in 2021 was 0.009, 0.004, and 0.003, respectively, and in 2022 it was 0.013, 0.004, and 0.03, respectively. NSAIDs were the only drug group with risk signals for severe AEs in both years, and diclofenac was the only drug with risk signals in 2021. The findings of this study can serve as baseline information for monitoring and evaluating the implementation of the Ministry of Public Health’s guidelines for the rational use of medicine in communities. Furthermore, Risk management measures should be established at both national and local levels to address the issue of NSAIDs and diclofenac, which display signs of serious AEs. All hospitals should establish a proactive drug safety surveillance system with rational drug use guidelines to ensure the availability of high-quality data to Thai Vigibase.

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References

Chungsathiensap K, Sri-ngernyuang L, Paonil W. Medicine and the community: social and cultural dimensions. 1st edition. Nonthaburi: Office of Social and Health Research; 2007.

Food and Drug Administration. Project to promote safe drug use in the community 2018-2020. Nonthaburi: Food and Drug Administration; 2020.

Strategy and Planning Division, Office of the Permanent Secretary, Ministry of Public Health. Indicators for the fiscal year 2023: Ministry of Public Health [Internet]. [cited 2023 Jul 5]. Available from: https://spd.moph. go.th/kpi-template-2566/

Ruksarantwara M. Prevalence and classification of adverse reactions from drug use, Soi Dao Hospital. Journal of the Center for Clinical Medicine Education Phrapokklao Hospital 2015;32(4):332-47.

Salamon P, Ruengorn C, Seangphichai S, Wonghankla B. Epidemic of inappropriate health products and associated adverse events among chronic disease patients in border area, Wieng Kan District, Chiang Rai Province. Thai Pharmaceutical Journal 2019;11(2);307-17.

Boonyong A, Muenpa R. Prevalence of inappropriate drug sales in tea shops in Phitsanulok Province and factors affecting it. Thai Pharmaceutical Journal 2018; 11(1);105-18.

Kaewkhambong C. Situation and management of the problem of distribution of antibiotics and “ya chud” in the community. Government Pharmaceutical Organization Journal 2019;45(4):38-44.

Kaewsutthi T, Phorruean N. Prevalence and factors associated with inappropriate drug exposure in the elderly. Journal of Mind–Body and the Vulnerable 2021;4(3): 69-80.

Saokaew S, Suwankesawong W, Permsuwan U, Chaiyakunapruk N. Safety of herbal products in Thailand: an analysis of reports in the Thai health product vigilance center database from 2000 to 2008. Drug Saf 2011; 34(4):339-50.

Suwankesawong W, Saokaew S, Permsuwan U, Chaiyakunapruk N. Characterization of hypersensitivity reactions reported among Andrographis paniculata users in Thailand using Health Product Vigilance Center (HPVC) database. BMC Complement Altern Med 2014;24(14): 515.

Pokakul P, Kulsomboon W. Signal detection of blood glucose lowering drugs and herbal medicines in the Thai databases on adverse drug events (Thai Vigibase). Thai Pharmacy Journal 2019;11(2):333-41.

Wechwithan S, Suwankesawong W, Sornsrivichai V, McNeil EB, Jiraphongsa C, Chongsuvivatwong V. Signal detection for Thai traditional medicine: examination of national pharmacovigilance data using reporting odds ratio and reported population attributable risk. Regul Toxicol Pharmacol 2014;70(1):407-12.

Prasitdumrong H, Duangmee K, Boonmuang P, Santimaleeworagun W, Oppamayun Y, Sonsupap C, et al. Incidence of urticaria, angioedema, and type I hypersensitivity reactions associated with fibrinolytic agents in Thailand using the database of the health product vigilance center. Asian Pac J Allergy Immunol 2023;41(1):67- 72.

Health Administration Division, Office of the Permanent Secretary, Ministry of Public Health. Report of the meeting of the working group to develop a system for rational and safe drug use in the community and related parties on 28 - 29 November 2022. Nonthaburi: Office of the Permanent Secretary, Ministry of Public Health; 2023.

van Puijenbroek EP, Bate A, Leufkens HG, Lindquist M, Orre R, Egberts AC. A comparison of measures of disproportionality for signal detection in spontaneous reporting systems for adverse drug reactions. Pharmacoepidemiol Drug Saf 2002;11(1):3-10.

US Food and Drug Administration. What is a serious adverse event? [Internet]. [cited 2023 Jul 5]. Available from: https://www.fda.gov/safety/reporting-serious-problems-fda/what-serious-adverse-event

Uppsala Monitoring Centre. Signal detection [Internet]. [cited 2023 Jul 5]. Available from: https://who-umc. org/signal-work/signal-detection/

Chautrakarn S, Khumros W, Phutrakool P. Self-medication with over-the-counter medicines among the working age population in metropolitan areas of Thailand. Front Pharmacol 2021;11(12):726643.

Boonyot S, Muenpa R. Situation of distribution and use of common household medicines in the community. A district in the northeastern region. Thai Pharmacy Journal 2020;13(3):578-89.

Berreni A, Montastruc F, Bondon-Guitton E, Rousseau V, Abadie D, Durrieu G, et al. Adverse drug reactions to self-medication: a study in a pharmacovigilance database. Fundam Clin Pharmacol 2015;29(5):517-20.

Rashid M, Chhabra M, Kashyap A, Undela K, Gudi SK. Prevalence and predictors of self-medication practices in India: a systematic literature review and meta-analysis. Curr Clin Pharmacol 2020;15(2):90-101.

Published

2024-04-30

How to Cite

Puripunyavanich, N., & Saokaew, S. (2024). Prevalence and Signal Detection of Adverse Drug Events from Inappropriate Sources in the Community: an Analysis of Reports in the Thai Databases on Adverse Drug Events (Thai Vigibase). Journal of Health Science of Thailand, 33(2), 369–378. Retrieved from https://thaidj.org/index.php/JHS/article/view/14535

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Section

Original Article (นิพนธ์ต้นฉบับ)