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Indian Journal of Pharmacology 2019
Topics: Artificial Intelligence; Humans; Pharmacovigilance
PubMed: 32029958
DOI: 10.4103/ijp.IJP_814_19 -
Cadernos de Saude Publica 2020National Pharmacovigilance Systems (PVS) manage health risks and identify, assess, and act to minimize them, contributing to adequate use of medicines, patient safety,...
National Pharmacovigilance Systems (PVS) manage health risks and identify, assess, and act to minimize them, contributing to adequate use of medicines, patient safety, and improved quality of care. Fast-track drug registration, which has become increasingly frequent, hinders assessment of the efficacy and safety of new drugs, adding difficulties to current regulation and health protection. The article applies indicators proposed by the World Health Organization to analyze the National PVS of Portugal and Brazil. Brazil's PVS was established later than that of Portugal, generates fewer safety signals, has a lower notification rate for suspected adverse drug events (ADEs), and displays difficulty in producing and disseminating information to health professionals and the population. Portugal has the advantage of being a member state of the European Medicines Agency. The article also suggests that the differences are related to the political and social context that hinders the implementation of public policies and compromises the effectiveness of the Brazilian PVS. Challenges for PVS include awareness-raising of health professionals, the adoption of methods to complement voluntary notification, pharmacovigilance of biological and genetic drugs, and assessment of the system's impact. An additional challenge for the Brazilian PVS is to improve the notifications' uptake and quality, including from industry, generate safety signals in the national context, and communicate risk in timely fashion to health professionals and the population.
Topics: Adverse Drug Reaction Reporting Systems; Brazil; Drug-Related Side Effects and Adverse Reactions; Humans; Patient Safety; Pharmacovigilance; Portugal
PubMed: 32696826
DOI: 10.1590/0102-311x00043019 -
BMC Public Health Aug 2022Pharmacovigilance (PV) systems in many countries in sub-Saharan Africa (SSA) are not fully functional. The spontaneous adverse events (AE) reporting rate in SSA is lower...
Pharmacovigilance (PV) systems in many countries in sub-Saharan Africa (SSA) are not fully functional. The spontaneous adverse events (AE) reporting rate in SSA is lower than in any other region of the world, and healthcare professionals (HCPs) in SSA countries have limited awareness of AE surveillance and reporting procedures. The GSK PV enhancement pilot initiative, in collaboration with PATH and national PV stakeholders, aimed to strengthen passive safety surveillance through a training and mentoring program of HCPs in healthcare facilities in three SSA countries: Malawi, Côte d'Ivoire, and Democratic Republic of Congo (DRC). Project implementation was country-driven, led by the Ministry of Health via the national PV center or department, and was adapted to each country's needs. The implementation phase for each country was scheduled to last 18 months. At project start, low AE reporting rates reflected that awareness of PV practices was very low among HCPs in all three countries, even if a national PV center already existed. Malawi did not have a functional PV system nor a national PV center prior to the start of the initiative. After 18 months of PV training and mentoring of HCPs, passive safety surveillance was enhanced significantly as shown by the increased number of AE reports: from 22 during 2000-2016 to 228 in 18 months to 511 in 30 months in Malawi, and ~ 80% of AE reports from trained healthcare facilities in Côte d'Ivoire. In DRC, project implementation ended after 7 months because of the SARS-CoV-2 pandemic. Main challenges encountered were delayed AE report transmission (1-2 months, due mainly to remoteness of healthcare facilities and complex procedures for transmitting reports to the national PV center), delayed or no causality assessment due to lack of expertise and/or funding, negative perceptions among HCPs toward AE reporting, and difficulties in engaging public health programs with the centralized AE reporting processes. This pilot project has enabled the countries to train more HCPs, increased reporting of AEs and identified KPIs that could be flexibly replicated in each country. Country ownership and empowerment is essential to sustain these improvements and build a stronger AE reporting culture.
Topics: COVID-19; Humans; Malawi; Pharmacovigilance; Pilot Projects; SARS-CoV-2
PubMed: 35978276
DOI: 10.1186/s12889-022-13867-6 -
Saudi Medical Journal Dec 2016To document the knowledge of, attitudes toward, and practices of adverse drug reaction (ADR) reporting and pharmacovigilance systems among healthcare...
To document the knowledge of, attitudes toward, and practices of adverse drug reaction (ADR) reporting and pharmacovigilance systems among healthcare professionals. Methods: This descriptive cross-sectional study was conducted using a questionnaire. This study took place at King Fahd Hospital of the University (KFHU), Khobar, Kingdom of Saudi Arabia, between April 2015 and April 2016. Healthcare professionals, including physicians, pharmacists, pharmacy technicians, and nurses, were considered eligible and invited to take part in the study. A link to the online questionnaire was sent to each participant via E-mail, and a hard copy was circulated at the hospital after the objectives of the study were explained. The questionnaire comprised items regarding knowledge/awareness of pharmacovigilance and ADRs, perception/attitude towards pharmacovigilance and ADR reporting, and practices of ADR reporting. Descriptive statistics were used to analyze the data. Results: A total of 400 questionnaires were distributed to the healthcare professionals and 331 participants responded, providing a response rate of 82.75%. The healthcare professionals comprised 161 physicians, 39 pharmacists, 21 pharmacist technicians, and 110 nurses. Most of the participants were female (n=198) and Saudi (61.9%). Most healthcare professionals (62.5%) were unaware of the term pharmacovigilance; the pharmacists and pharmacist technicians had the highest rate of pharmacovigilance awareness (60.5% of the pharmacists and 40% of pharmacist technicians). Conclusion: There is a lack of awareness and knowledge of pharmacovigilance and ADR reporting among healthcare professionals working at KFHU.
Topics: Adult; Awareness; Drug-Related Side Effects and Adverse Reactions; Female; Humans; Male; Middle Aged; Pharmacovigilance; Young Adult
PubMed: 27874152
DOI: 10.15537/smj.2016.12.17059 -
British Journal of Clinical Pharmacology Feb 2023
Topics: Humans; Pharmacovigilance
PubMed: 36398325
DOI: 10.1111/bcp.15584 -
BMJ Open Apr 2024Pharmacovigilance databases play a critical role in monitoring drug safety. The duplication of reports in pharmacovigilance databases, however, undermines their data... (Review)
Review
OBJECTIVES
Pharmacovigilance databases play a critical role in monitoring drug safety. The duplication of reports in pharmacovigilance databases, however, undermines their data integrity. This scoping review sought to provide a comprehensive understanding of duplication in pharmacovigilance databases worldwide.
DESIGN
A scoping review.
DATA SOURCES
Reviewers comprehensively searched the literature in PubMed, Web of Science, Wiley Online Library, EBSCOhost, Google Scholar and other relevant websites.
ELIGIBILITY CRITERIA
Peer-reviewed publications and grey literature, without language restriction, describing duplication and/or methods relevant to duplication in pharmacovigilance databases from inception to 1 September 2023.
DATA EXTRACTION AND SYNTHESIS
We used the Joanna Briggs Institute guidelines for scoping reviews and conformed with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews. Two reviewers independently screened titles, abstracts and full texts. One reviewer extracted the data and performed descriptive analysis, which the second reviewer assessed. Disagreements were resolved by discussion and consensus or in consultation with a third reviewer.
RESULTS
We screened 22 745 unique titles and 156 were eligible for full-text review. Of the 156 titles, 58 (47 peer-reviewed; 11 grey literature) fulfilled the inclusion criteria for the scoping review. Included titles addressed the extent (5 papers), prevention strategies (15 papers), causes (32 papers), detection methods (25 papers), management strategies (24 papers) and implications (14 papers) of duplication in pharmacovigilance databases. The papers overlapped, discussing more than one field. Advances in artificial intelligence, particularly natural language processing, hold promise in enhancing the efficiency and precision of deduplication of large and complex pharmacovigilance databases.
CONCLUSION
Duplication in pharmacovigilance databases compromises risk assessment and decision-making, potentially threatening patient safety. Therefore, efficient duplicate prevention, detection and management are essential for more reliable pharmacovigilance data. To minimise duplication, consistent use of worldwide unique identifiers as the key case identifiers is recommended alongside recent advances in artificial intelligence.
Topics: Pharmacovigilance; Humans; Databases, Factual; Adverse Drug Reaction Reporting Systems; Drug-Related Side Effects and Adverse Reactions
PubMed: 38684275
DOI: 10.1136/bmjopen-2023-081990 -
British Journal of Clinical Pharmacology Oct 2015A systematic review of the literature published in English over 10 years was undertaken in order to describe the use of electronic healthcare data in the... (Review)
Review
AIMS
A systematic review of the literature published in English over 10 years was undertaken in order to describe the use of electronic healthcare data in the identification of potential adverse drug reactions (ADRs) in children.
METHODS
MEDLINE and EMBASE were searched using MESH headings and text words. Titles, keywords and abstracts were checked for age <18 years, potential ADRs and electronic healthcare data. Information extracted included age, data source, pharmacovigilance method, medicines and ADRs. Studies were quality assessed.
RESULTS
From 14 804 titles, 314 had a full text review and 71 were included in the final review. Fifty were published in North America, 10 in Scandinavia. Study size ranged from less than 1000 children to more than 10 million. Sixty per cent of studies used data from one source. Comparative observational studies were most commonly reported (66.2%) with 15% using passive surveillance. Electronic healthcare data set linkage and the quality of the data source were poorly reported. ADRs were classified using the International Classification of Disease (ICD10). Multi-system reactions were most commonly studied, followed by central nervous system and mental and behavioural disorders. Vaccines were most frequently prescribed followed by corticosteroids, general anaesthetics and antidepressants.
CONCLUSIONS
Routine electronic healthcare records were increasingly reported to be used for pharmacovigilance in children. This growing and important health protection activity could be enhanced by consistent reporting of studies to improve the identification, interpretation and generalizability of the evidence base.
Topics: Adolescent Health; Child Health; Drug-Related Side Effects and Adverse Reactions; Electronic Health Records; Humans; Pharmacovigilance
PubMed: 25819310
DOI: 10.1111/bcp.12645 -
Orphanet Journal of Rare Diseases Sep 2023The aims of this paper is to search and explore publications in the field of pharmacovigilance for rare diseases and to visualize general information, research hotspots,... (Review)
Review
OBJECTIVES
The aims of this paper is to search and explore publications in the field of pharmacovigilance for rare diseases and to visualize general information, research hotspots, frontiers and future trends in the field using the bibliometric tool CiteSpace to provide evidence-based evidence for scholars.
METHODS
We searched the Web of Science Core Collection (WoSCC) for studies related to pharmacovigilance for rare diseases, spanning January 1, 1997-October 25, 2022. CiteSpace software was utilized to discuss countries/regions, institutions, authors, journals, and keywords.
RESULTS
After screening, a total of 599 valid publications were included in this study, with a significant upward trend in the number of publications. These studies were from 68 countries/regions with the United States and the United Kingdom making the largest contributions to the field. 4,806 research scholars from 493 institutions conducted studies on pharmacovigilance for rare diseases. Harvard University and University of California were the top two productive institutions in the research field. He Dian of the Affiliated Hospital of Guizhou Medical University and Peter G.M. Mol of the University of Groningen, The Netherlands, were the two most prolific researchers. The Cochrane Database of Systematic Reviews and the New England Journal of Medicine were the journals with the highest number of articles and co-citation frequency respectively. Clinical trial, therapy and adverse event were the top three most cited keywords.
CONCLUSIONS
Based on keywords co-occurrence analysis, four research topics were identified: orphan drug clinical trials, postmarketing ADR surveillance for orphan drugs, rare diseases and orphan drug management, and diagnosis and treatment of rare diseases. Immune-related adverse reactions and benefit-risk assessment of enzyme replacement therapy were at the forefront of research in this field. Treatment outcomes, early diagnosis and natural history studies of rare diseases may become hotspots for future research.
Topics: Male; Humans; Rare Diseases; Pharmacovigilance; Systematic Reviews as Topic; Bibliometrics; Databases, Factual
PubMed: 37752556
DOI: 10.1186/s13023-023-02915-y -
Journal of Global Health Sep 2023Despite rising concerns regarding the safety of anti-obesity medications, there is a lack of comprehensive pharmacovigilance investigations utilising real-world data. We...
INTRODUCTION
Despite rising concerns regarding the safety of anti-obesity medications, there is a lack of comprehensive pharmacovigilance investigations utilising real-world data. We aimed to characterise the prevalence and seriousness of adverse drug events (ADEs) related to anti-obesity medications and to identify predictors associated with increased risk of serious adverse events (SAE), thereby conveying evidence on drug safety.
METHODS
We conducted a cross-sectional analysis on ADE cases spontaneously reported to the Korea Adverse Event Reporting System Database (KIDS-KD). ADE reports pertaining to anti-obesity medications prescribed for overweight, obesity (International Classification of Disease, 10th revision (ICD-10) code E66) and abnormal weight gain (ICD-10 code E63.5) were included in the analysis. We performed a disproportionality to detect the association of the system organ class-based ADEs with their seriousness an individual's sex by estimating reporting odds ratios (RORs) and their 95% confidence intervals (CIs). We performed logistic regression to investigate factors that are substantially associated with increased SAE risks by estimating odds ratio (OR) and their 95% CIs.
RESULTS
The most common causative anti-obesity medication was phentermine, followed by liraglutide. ADEs associated with psychiatric disorders (ROR = 1.734; 95% CI = 1.111-2.707), liver and biliary system disorders (ROR = 22.948; 95% CI = 6.613-70.635), cardiovascular disorders (ROR = 5.707; 95% CI = 1.965-16.574), and respiratory disorders (ROR = 4.567; 95% CI = 1.774-11.762) were more likely to be serious events. Additionally, men are more likely to experience ADEs related gastrointestinal disorders (ROR = 1.411) and less likely to have heart and rhythm disorders (ROR = 0.507). The risk of SAE incidences was positively correlated with being male (OR = 2.196; 95% CI = 1.296-3.721), dual or triple combination of anti-obesity medications (OR = 3.258; 95% CI = 1.633-6.501 and OR = 8.226; 95% CI = 3.046-22.218, respectively), and concomitant administration of fluoxetine (OR = 5.236; 95% CI = 2.218-12.365).
CONCLUSIONS
Seriousness of anti-obesity medication-related ADEs differs among system-organ class, while sex-related differences in ADE profiles are also present. The predictors substantially increasing risk of SAE incidences include being male, having a higher number of concomitant medications (including multiple combination of anti-obesity medications), and concurrent use of fluoxetine. Nonetheless, further pharmacovigilance investigation and monitoring are needed to enhance awareness on ADEs induced by anti-obesity medications.
Topics: Humans; Male; Female; Cross-Sectional Studies; Fluoxetine; Pharmacovigilance; Obesity; Cardiovascular Diseases
PubMed: 37651636
DOI: 10.7189/jogh.13.04095 -
Journal of Biomedical Informatics Dec 2015Pharmacovigilance (PV) is defined by the World Health Organization as the science and activities related to the detection, assessment, understanding and prevention of...
Pharmacovigilance (PV) is defined by the World Health Organization as the science and activities related to the detection, assessment, understanding and prevention of adverse effects or any other drug-related problem. An essential aspect in PV is to acquire knowledge about Drug-Drug Interactions (DDIs). The shared tasks on DDI-Extraction organized in 2011 and 2013 have pointed out the importance of this issue and provided benchmarks for: Drug Name Recognition, DDI extraction and DDI classification. In this paper, we present our text mining systems for these tasks and evaluate their results on the DDI-Extraction benchmarks. Our systems rely on machine learning techniques using both feature-based and kernel-based methods. The obtained results for drug name recognition are encouraging. For DDI-Extraction, our hybrid system combining a feature-based method and a kernel-based method was ranked second in the DDI-Extraction-2011 challenge, and our two-step system for DDI detection and classification was ranked first in the DDI-Extraction-2013 task at SemEval. We discuss our methods and results and give pointers to future work.
Topics: Data Mining; Drug Interactions; Machine Learning; Pharmacovigilance
PubMed: 26432353
DOI: 10.1016/j.jbi.2015.09.015