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Record W7042941293

Review of National Spontaneous Reporting Schemes: Strengths and Weaknesses

2002· article· en· W7042941293 on OpenAlexaboutno aff

Bibliographic record

VenueORCA Online Research @Cardiff (Cardiff University) · 2002
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicPharmacovigilance and Adverse Drug Reactions
Canadian institutionsnot available
Fundersnot available
KeywordsStrengths and weaknessesDeveloped countryDeveloping countryHealth professionalsDrug reactionPublic healthHealth care
DOInot available

Abstract

fetched live from OpenAlex

Objective: To investigate and compare the operation of different national spontaneous reporting schemes for adverse drug reactions.
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\nDesign: Drug safety agencies in 18 countries were contacted by letter to request information about their spontaneous reporting scheme for adverse drug reactions. This information related to the background of the scheme, operational aspects of the scheme and numbers of reports received.
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\nResults: Replies were received from 12 countries. Many differences were found between the schemes operating in different countries. Some schemes had been in operation for over 30 years, while others were more recently established. While most schemes rely on voluntary reports, in two countries (France and Spain), reporting is a legal requirement for healthcare professionals. Reports are accepted from doctors, dentists and pharmacists in all of the countries surveyed; however the role of other health professionals and the general public was found to vary. There were also differences in the types of reactions for which reports are requested, and the products covered by the schemes. In some countries (e.g. Denmark) reports of all reactions are sought, while other countries focus on only serious reactions or reactions to newly marketed products. In Australia, there is a separate scheme for drug-induced congenital malformations and Canada, South Africa and the US run separate schemes for reactions to vaccines. However, other countries include these reactions in the general spontaneous reporting schemes. The numbers of reports received by the countries also varies considerably - from a few hundred each year in South Africa to over 20 000 in the US.
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\nConclusions: While the schemes all operate on the basic principle of collecting reports of adverse reactions to identify potential hazards, they showed many different approaches to the spontaneous reporting of adverse drug reactions. Features of one scheme may serve to improve reporting rates for another. In addition, all 12 countries participate in the World Health Organization International Drug Monitoring Programme, thus helping to inform the whole international community of drug safety problems.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.494
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.296
GPT teacher head0.517
Teacher spread0.221 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2002
Admission routes1
Has abstractyes

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