Projects per year
Abstract
We examined the minimum extent of dependency of UK patient organisations on pharmaceutical industry funding using drug company disclosure reports and patient organisation financial accounts from 2012 to 2016. We used linear regression to explain the overall share of industry funding ('general dependency') and top donor funding ('company-specific dependency') in organisations' income. Predictors included patient organisations' goal; having members and volunteers; geographical scope of activity; headquarter location; expenditure/income ratio; and disease area. The prevalent low levels of general dependency (IQR, 0.1%-6.0%) and company-specific dependency (IQR, 0.1%-4.3%) made a widespread capture of patient organisations unlikely, though only if one excludes the possibility of significant payment under-reporting. However, organisations with considerably higher dependency than others might be more prone to co-optation by industry. Of the 398 organisations, 18 (4.5%) and 8 (2.0%) had general and company-specific financial dependency over 50%, respectively. However, the shares of outliers exceeding the third quartile plus 1.5 times IQR were 51 (12.8%) and 56 (14.1%) for each dependency type. Certain characteristics including activity profile (advocacy) or indicating limited access to resources (remote location) made organisations vulnerable to developing financial dependency. Future research should examine both financial and non-financial links between the two sides and their impact on patient organisations' activity.
Original language | English |
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Pages (from-to) | 188-210 |
Number of pages | 23 |
Journal | Sociology of Health and Illness |
Volume | 44 |
Issue number | 1 |
Early online date | 7 Dec 2021 |
DOIs | |
Publication status | Published - 1 Jan 2022 |
Bibliographical note
Funding Information:Funding Information:
The authors wish to thank the SHI Editors as well as two anonymous Reviewers for their exceedingly generous and insightful comments. This study (SM as PI and PO as Co‐I) was supported by the grant ‘What can be learnt from the new pharmaceutical industry payment disclosures?’ awarded by the Swedish Research Council for Health, Working Life and Welfare (FORTE), no. 2016–00875 and the grant ‘Following the money: cross‐national study of pharmaceutical industry payments to medical associations and patient organisations’, awarded by The Swedish Research Council (VR), no. 2020–01822. The funders had no role in study design; in the collection, analysis and interpretation of data; in the writing of the articles; and in the decision to submit it for publication.
DATA AVAILABILITY STATEMENT
The authors agree to share the data underpinning this study. We present it in the form of online supplements signposted throughout the main body of the article. They can be accessed via a web link and are stored in the University of Bath Research Data Archive. The supplementary data pose no risk to anonymity of individuals. The data set can be cited as: Ozieranski et al., 2021
Keywords
- conflicts of interest
- financial dependency
- patient organisations
- pharmaceutical industry
- transparency
ASJC Scopus subject areas
- Health(social science)
- Health Policy
- Public Health, Environmental and Occupational Health
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Dive into the research topics of 'A 'patient-industry complex'? Investigating the financial dependency of UK patient organisations on drug company funding'. Together they form a unique fingerprint.-
Following the money: cross-national study of pharmaceutical industry payments to medical associations and patient organisations
Ozieranski, P. (PI)
1/01/21 → 31/12/24
Project: Other
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What can be learnt from the new pharmaceutical industry payment disclosures?
Ozieranski, P. (PI)
1/01/17 → 31/03/21
Project: Other
Datasets
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Dataset for "A patient-industry complex? Investigating the financial dependency of UK patient organisations on drug company funding"
Ozieranski, P. (Creator), Pitter, J. (Creator), Rickard, E. (Creator), Mulinari, S. (Creator) & Csanadi, M. (Creator), University of Bath, 7 Dec 2021
DOI: 10.15125/BATH-00904
Dataset