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1000 Titel
  • Validation of a Novel Method to Assess the Clinical Quality of Information in Pregnancy-Related Pharmacovigilance Case Reports: A ConcePTION Project
1000 Autor/in
  1. Weetink, Yrea |
  2. Egberts, Toine |
  3. van Hunsel, Florence |
  4. Lewis, David |
  5. Yates, Laura Michelle |
  6. Winterfeld, Ursula |
  7. van Puijenbroek, Eugene |
1000 Verlag
  • Springer International Publishing
1000 Erscheinungsjahr 2024
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2024-01-06
1000 Erschienen in
1000 Quellenangabe
  • 47(3):261-270
1000 Copyrightjahr
  • 2024
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1007/s40264-023-01389-y |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10874330/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Background!#!To assess the causal relationship between a medicinal product and a reported event, relevant information needs to be present. Information elements for assessing cases of exposure to medicinal products during pregnancy were predefined and used in a new tool to assess the quality of information. However, the extent in which the presence or absence of these predefined information elements is associated with the overall clinical quality of these cases, as evaluated by pharmacovigilance experts, remains uncertain.!##!Objective!#!We aimed to validate a novel method to assess the clinical quality of information in real-world pregnancy pharmacovigilance case reports.!##!Methods!#!The clinical quality of case reports regarding medicinal product exposure and pregnancy-related outcomes was appraised from spontaneous reports, literature, Teratology Information Services (UK and Switzerland), The Dutch Pregnancy Drug Register, the Gilenya pregnancy registry and the Enhanced PV programme of Novartis. Assessment was done by means of the novel standardised tool based on the presence and relevance of information, and by expert judgement. The novel tool was validated compared to the expert assessment as the gold standard expressed as the area under the receiver operating characteristic curves, after which the sensitivity and specificity were calculated using cross-tabulations. Inter-rater variability was determined by means of weighted Cohen's kappa.!##!Results!#!One hundred and eighty-six case reports were included. The clinical quality score as assessed by the novel method was divided into three categories with cut-off values of 45% (poor to intermediate) and 65% (intermediate to excellent). Sensitivity was 0.93 and 0.96 for poor to intermediate and intermediate to excellent, respectively. Specificity was respectively 0.52 and 0.73. Inter-rater variability was 0.65 (95% confidence interval 0.53-0.78) for the newly developed approach, and 0.40 (95% confidence interval 0.28-0.52) for the gold standard assessment.!##!Conclusions!#!The tool described in this study using the presence and relevance of elements of information is the first designed, validated and standardised method for the assessment of the quality of information of case reports in pregnancy pharmacovigilance data. This method confers less inter-rater variability compared with a quality assessment by experts of pregnancy-related pharmacovigilance data.
1000 Sacherschließung
lokal Female [MeSH]
lokal Judgment [MeSH]
lokal Pharmacovigilance [MeSH]
lokal Adverse Drug Reaction Reporting Systems [MeSH]
lokal Humans [MeSH]
lokal Causality [MeSH]
lokal Original Research Article
lokal Pregnancy [MeSH]
lokal Drug-Related Side Effects and Adverse Reactions/epidemiology [MeSH]
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0002-5997-3718|https://orcid.org/0000-0003-1758-7779|https://orcid.org/0000-0001-8965-3224|https://orcid.org/0000-0001-9576-3489|https://orcid.org/0000-0002-7963-625X|https://orcid.org/0000-0002-9926-7164|https://orcid.org/0000-0002-2236-1398
1000 Hinweis
  • DeepGreen-ID: e5b151691eeb401d892b12670f70d328 ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
1000 Label
1000 Förderer
  1. Innovative Medicines Initiative 2 |
1000 Fördernummer
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1000 Förderprogramm
  1. -
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Innovative Medicines Initiative 2 |
    1000 Förderprogramm -
    1000 Fördernummer -
1000 Objektart article
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1000 @id frl:6498744.rdf
1000 Erstellt am 2025-02-04T22:50:09.933+0100
1000 Erstellt von 322
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1000 Zuletzt bearbeitet 2025-07-30T16:01:33.719+0200
1000 Objekt bearb. Wed Jul 30 16:01:33 CEST 2025
1000 Vgl. frl:6498744
1000 Oai Id
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