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A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

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

S Scott Graham¹, Nandini Sharma², Martha S Karnes³

¹Department of Rhetoric & Writing, Center for Health Communication, The University of Texas at Austin, Austin, TX, USA.

AJOB Empirical Bioethics

|December 28, 2022

Summary

This study analyzed financial conflicts of interest (fCOI) in biomedical research, identifying 21 types and 1,077 payors. Key findings include the prevalence of research funding, speaking fees, and consulting fees, highlighting the need for further analysis of fCOI types and payors.

Keywords:

Conflict of interest drug industry ethics health policy research

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Published on: October 24, 2019

Area of Science:

Biomedical Research Ethics
Scientific Integrity
Conflict of Interest Management

Background:

Financial conflicts of interest (fCOI) pose risks to biomedical research integrity.
Existing studies often lack differentiation among fCOI types.
An empirically-derived taxonomy of fCOI and payor prevalence data is needed.

Purpose of the Study:

To develop an empirically-derived taxonomy of self-reported financial conflicts of interest (fCOI).
To determine the prevalence of different fCOI types and their associated payors in biomedical research.
To provide data for future research assessing the differential effects of various fCOI.

Main Methods:

Content analysis of 6,165 self-reported financial relationships from 378 PubMed-indexed articles.
Two coders iteratively identified and classified individual fCOI types and payors.
High inter-rater reliability achieved for fCOI type (κ=0.935) and payor identification (κ=0.884).

Main Results:

Identified 21 distinct fCOI types, with 9 occurring over 1% prevalence.
Top fCOI types: research funding (24.8%), speaking fees (20.8%), consulting fees (18.8%).
Analyzed 1,077 unique payors, with 22 present in over 1% of relationships; top payors included major pharmaceutical companies.

Conclusions:

Novel multi-domain prevalence data on self-reported fCOI and payors in biomedical research.
Results support the need for comparative analyses of different fCOI types.
Emphasizes the importance of considering the diversity of payor types in research relationships.