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Signal detection in pharmacovigilance: Methods, tools, and workflows from case identification to adverse drug
Vinodkumar Mugada1, Vidyadhara Suryadevara2, Manasa Cheekurumilli3
1Department of Pharmacy Practice, Faculty of Pharmaceutical Sciences, Vignan Institute of Pharmaceutical Technology, Duvvada, AP, India.
Adverse drug reactions (ADRs) are a major global health issue. Improving pharmacovigilance systems and prevention strategies, especially in low-resource settings, is crucial to reduce medication-related harm.
Area of Science:
- Pharmacovigilance and Public Health
- Drug Safety and Epidemiology
- Global Health Policy
Background:
- Adverse drug reactions (ADRs) pose a significant, preventable global health burden, impacting morbidity, mortality, and healthcare costs.
- Vulnerability to ADRs is high in older adults, low-resource settings, and with specific drug classes like antibiotics and cardiovascular agents.
- Existing pharmacovigilance systems face challenges including underreporting, data quality issues, and methodological biases, particularly in low- and middle-income countries.
Purpose of the Study:
- To synthesize global evidence on the burden, surveillance systems, and prevention strategies for ADRs.
- To compare the strengths of various pharmacovigilance platforms and emerging analytical methods.
- To identify policy priorities for reducing severe medication-related harm globally.
Main Methods:
- Systematic review and synthesis of evidence from diverse global regions, healthcare settings, and drug classes.
- Comparative analysis of pharmacovigilance platforms (e.g., WHO's VigiBase, EudraVigilance) and statistical methods (e.g., machine learning).
- Evaluation of prescriber-level, system-level, and patient engagement prevention strategies.
Main Results:
- Significant variability in ADR incidence and mortality exists globally, with specific populations and medications at higher risk.
- Integrating spontaneous reporting with electronic health record analytics and employing advanced statistical methods like machine learning enhances ADR signal detection.
- Active surveillance and digital tools show promise over voluntary reporting, but implementation is hindered by infrastructure and policy gaps.
Conclusions:
- Achieving global goals for reducing medication-related harm requires integrating ADR surveillance into universal health coverage.
- Policy interventions, including interoperable safety systems and capacity building in resource-limited settings, are essential.
- Coordinated global action is needed to strengthen pharmacovigilance, enhance patient safety, and build sustainable health systems.
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