Assessing an ASCO Decision Aid for Improving the Accuracy and Attribution of Serious Adverse Event Reporting From Investigators to Sponsors.


Journal

Journal of oncology practice
ISSN: 1935-469X
Titre abrégé: J Oncol Pract
Pays: United States
ID NLM: 101261852

Informations de publication

Date de publication:
12 2019
Historique:
pubmed: 28 10 2019
medline: 18 8 2020
entrez: 25 10 2019
Statut: ppublish

Résumé

Investigators often send reports to sponsors that incorrectly categorize adverse event (AE)s as serious or attribute AEs to investigational drugs. Such errors can contribute to high volumes of uninformative investigational new drug safety reports that sponsors submit to the US Food and Drug Administration and participating investigators, which strain resources and impede the detection of valid safety signals. To improve the quality of serious AE (SAE) reporting by physician-investigators and research staff, ASCO developed and tested a Decision Aid. A preliminary study with crossover design was conducted in a convenience sample. Physician-investigators and research staff were randomly assigned to receive case studies. Case studies were assessed for seriousness and attribution, first unassisted and then with the Decision Aid. Participants completed a feedback survey about the Decision Aid. Effectiveness of reporting and attribution are reported as odds ratios (ORs) with 95% CI. Power to detect associations was limited because of a small sample size. The Decision Aid did not significantly affect accuracy of determining seriousness (OR, 0.87; 95% CI, 0.31 to 2.46), but it did significantly increase accuracy of attributing an SAE to a drug (OR, 3.60; 95% CI, 1.15 to 11.4). Most of the 29 participants reported that the Decision Aid was helpful (93%) and improved decision-making time (69%) and confidence in reporting (83%), and that they would use the Decision Aid in practice (83%). The Decision Aid shows promise as a method to improve the quality of SAE attribution, which may improve the detection of valid safety signals and reduce the administrative burden of uninformative investigational new drug safety reports. Study of the Decision Aid in a larger sample with analysis stratified by participant role and SAE reporting experience would further assess the tool's impact.

Identifiants

pubmed: 31647695
doi: 10.1200/JOP.19.00366
doi:

Substances chimiques

Drugs, Investigational 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e1050-e1065

Auteurs

Kathryn F Mileham (KF)

Levine Cancer Institute, Atrium Health Charlotte NC.

Caroline Schenkel (C)

American Society of Clinical Oncology, Alexandria, VA.

Meredith K Chuk (MK)

US Food and Drug Administration, Silver Spring, MD.

Andrea Buchmeier (A)

Sarah Cannon Cancer Center, Nashville, TN.

Raymond P Perez (RP)

Bristol-Myers Squibb, New York, NY.

Patricia Hurley (P)

American Society of Clinical Oncology, Alexandria, VA.

Laura A Levit (LA)

American Society of Clinical Oncology, Alexandria, VA.

Elizabeth Garrett-Mayer (E)

American Society of Clinical Oncology, Alexandria, VA.

Courtney Davis (C)

American Society of Clinical Oncology, Alexandria, VA.

Suanna S Bruinooge (SS)

American Society of Clinical Oncology, Alexandria, VA.

Julie Vose (J)

University of Nebraska Medical Center, Omaha, NE.

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