Evidence map›Paper›PMID 31225896›Full record

Observational studyJAMA network open2019

Analysis of Pharmaceutical Industry Payments to UK Health Care Organizations in 2015.

Piotr Ozieranski, Marcell Csanadi, Emily Rickard, Jordan Tchilingirian, Shai Mulinari

Abstract readObservational Study
In one paragraph

Observational study in JAMA network open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Piotr OzieranskiDepartment of Social and Policy Sciences, University of Bath, Bath, United Kingdom.
Marcell CsanadiSyreon Research Institute, Budapest, Hungary.
Emily RickardDepartment of Social and Policy Sciences, University of Bath, Bath, United Kingdom.
Jordan TchilingirianDepartment of Social and Policy Sciences, University of Bath, Bath, United Kingdom.
Shai MulinariDepartment of Sociology, Lund University, Lund, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Drug company payments to health care organizations can create conflicts of interest. However, little is known about such financial relationships, especially outside the United States. Objective: To examine the concentration and patterns of drug company payments to health care organizations in the United Kingdom. Design, Setting, and Participants: This cross-sectional study examined nonresearch payments reported in the industry-run Disclosure UK database. Companies participating in Disclosure UK in 2015 and health care organizations receiving their payments were included in the analysis. The data were analyzed descriptively at the health care organization, payment, and donor levels, considering health care organization categories, payment categories, and companies from February 5 through May 28, 2017, with follow-up checks from June 1 through August 31, 2018. Analysis was conducted from July 10 through December 20, 2018. Main Outcomes and Measures: Share of funding and the Gini index (GI) to measure payment concentration (0 indicates perfect deconcentration [eg, all drug companies provide the same value of payments]; 1, perfect concentration [eg, 1 company provides the entire value of payments]) and median and interquartile range (IQR) to measure payment patterns. Results: A total of 4028 health care organizations received 19 933 payments, worth US $72 110 156.6, from 100 companies. This study identified 11 categories of health care organizations, with 3-public-sector secondary and tertiary care providers, education and research providers, and professional organizations-accumulating 67.2% of funding. The health care organization categories had varying GIs (range, 0.65-0.92), medians (range, $750.3-$45 862.4), and IQRs (range, $389.1-$1843.9 to $3104.4-$199 868.2). Of 4 payment categories, the top category-donations and grants-captured 50.6% of funding. Joint working (collaborative projects with nonindustry partners) had a lower GI (0.64) than other payment categories (range, 0.79-0.84). The median and IQR were the lowest for contributions to costs of events ($366.8; IQR, $229.3-611.3) and highest for joint working ($14 903.7; IQR, $3185.0-34,748.4). The top 10 firms (58.6% of funding) had payments with varying medians (from $366.8 [IQR, $244.5-611.3] to $9781.3 [IQR, $1834.0-48 906.7]). Conclusions and Relevance: Although organizations from across the health care system received funding, the payments were concentrated on a few large donors, payments, and recipients. Different payment and recipient categories had different patterns of payment values, suggesting that the industry has diversified its funding strategies across different parts of the health care system. These results suggest that Disclosure UK requires improved transparency, particularly by including built-in recipient categories, and that organizational conflicts of interest need more policy attention, including disclosure of payments independent of the industry.

Indexed as

Financial SupportConflict of InterestCross-Sectional StudiesDrug IndustryHumansInterinstitutional RelationsOrganizationsUnited Kingdom

Identifiers

PMID31225896
PMCPMC6593961

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.