A Content Analysis of Self-Reported Financial Relationships in Biomedical Research.

ABSTRACT:

Introduction

Financial conflicts of interest (fCOI) present well documented risks to the integrity of biomedical research. However, few studies differentiate among fCOI types in their analyses, and those that do tend to use preexisting taxonomies for fCOI identification. Research on fCOI would benefit from an empirically-derived taxonomy of self-reported fCOI and data on fCOI type and payor prevalence.

Methods

We conducted a content analysis of 6,165 individual self-reported relationships from COI statements distributed across 378 articles indexed with PubMed. Two coders used an iterative coding process to identify and classify individual fCOI types and payors. Inter-rater reliability was κ = 0.935 for fCOI type and κ = 0.884 for payor identification.

Results

Our anal

SUBMITTER: Graham SS 

PROVIDER: S-EPMC10182247 | biostudies-literature | 2023 Apr-Jun

REPOSITORIES: biostudies-literature