ArticlePloS one2019
Differential completeness of spontaneous adverse event reports among hospitals/clinics, pharmacies, consumers, and pharmaceutical companies in South Korea.
Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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Who cites it
7 citing papers in PubMed.
- A Comparison of Signals of Designated Medical Events and Non-designated Medical Events: Results from a Scoping Review.Drug safety · 2024Article
- Trends in Adverse Event Reporting Before and After the Introduction of the Med Safety App in Nigeria.Pharmaceutical medicine · 2024Observational
- Data-Driven Identification of Factors That Influence the Quality of Adverse Event Reports: 15-Year Interpretable Machine Learning and Time-Series Analyses of VigiBase and QUEST.JMIR medical informatics · 2024Article
- Article
- Comparative Safety Profiles of Sedatives Commonly Used in Clinical Practice: A 10-Year Nationwide Pharmacovigilance Study in Korea.Pharmaceuticals (Basel, Switzerland) · 2021Article
- Adverse Events Related to Off-Label Drugs Using Spontaneous Adverse Event Reporting Systems.Therapeutics and clinical risk management · 2021Article
- Assessment of factors associated with completeness of spontaneous adverse event reporting in the United States: A comparison between consumer reports and healthcare professional reports.Journal of clinical pharmacy and therapeutics · 2020Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The differential pattern and characteristics of completeness in adverse event (AE) reports generated by hospitals/clinics, pharmacies, consumer and pharmaceutical companies remain unknown. Thus, we identified the characteristics of complete AE reports, compared with those of incomplete AE reports, using a completeness score. We used Korea Institute of Drug Safety and Risk Management-Korea Adverse Event Reporting System Database (KIDS-KD) between January 1, 2016 and December 31, 2016. The completeness score was determined out of a total of 100 points, based on the presence of information on temporal relationships, age and sex of patients, AE progress, name of reported medication, reporting group by profession, causality assessment, and informational text. AE reports were organized into four groups based on affiliation: hospitals/clinics, pharmacies, consumers, and pharmaceutical companies. Affiliations that had median completeness scores greater than 80 points were classified as 'well-documented' and these reports were further analyzed by logistic regression to estimate the adjusted odds ratios and 95% confidence intervals. We examined 228,848 individual reports and 735,745 drug-AE combinations. The median values of the completeness scores were the highest for hospitals/clinics (95 points), followed by those for consumers (85), pharmacies (75), and manufacturers (72). Reports with causality assessment of 'certain', 'probable', or 'possible' were more likely to be 'well-documented' than reports that had causality assessments of 'unlikely'. Serious reports of AEs were positively associated with 'well-documented' reports and negatively associated with hospitals/clinics.
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