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Meta-Analysis
. 2017 Apr 13;12(4):e0175493.
doi: 10.1371/journal.pone.0175493. eCollection 2017.

Association between physicians' interaction with pharmaceutical companies and their clinical practices: A systematic review and meta-analysis

Affiliations
Meta-Analysis

Association between physicians' interaction with pharmaceutical companies and their clinical practices: A systematic review and meta-analysis

Hneine Brax et al. PLoS One. .

Abstract

Background: Pharmaceutical company representatives likely influence the prescribing habits and professional behaviors of physicians. The objective of this study was to systematically review the association between physicians' interactions with pharmaceutical companies and their clinical practices.

Methods: We used the standard systematic review methodology. Observational and experimental study designs examining any type of targeted interaction between practicing physicians and pharmaceutical companies were eligible. The search strategy included a search of MEDLINE and EMBASE databases up to July 2016. Two reviewers selected studies, abstracted data, and assessed risk of bias in duplicate and independently. We assessed the quality of evidence using the GRADE approach.

Results: Twenty articles reporting on 19 studies met our inclusion criteria. All of these studies were conducted in high-income countries and examined different types of interactions, including detailing, industry-funded continuing medical education, and receiving free gifts. While all included studies assessed prescribing behaviors, four studies also assessed financial outcomes, one assessed physicians' knowledge, and one assessed their beliefs. None of the studies assessed clinical outcomes. Out of the 19 studies, 15 found a consistent association between interactions promoting a medication, and inappropriately increased prescribing rates, lower prescribing quality, and/or increased prescribing costs. The remaining four studies found both associations and lack of significant associations for the different types of exposures and drugs examined in the studies. A meta-analysis of six of these studies found a statistically significant association between exposure and physicians' prescribing behaviors (OR = 2.52; 95% CI 1.82-3.50). The quality of evidence was downgraded to moderate for risk of bias and inconsistency. Sensitivity analysis excluding studies at high risk of bias did not substantially change these results. A subgroup analysis did not find a difference by type of exposure.

Conclusion: There is moderate quality evidence that physicians' interactions with pharmaceutical companies are associated with their prescribing patterns and quality.

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Conflict of interest statement

Competing Interests: The authors have declared that no competing interests exist.

Figures

Fig 1
Fig 1. Study flowchart showing the selection process.
Fig 2
Fig 2. Risk of bias summary reflecting reviewers’ judgments about each risk of bias item for included studies.
Fig 3
Fig 3. Forest plot for changes in physician prescribing behavior stratified by type of exposure.
Fig 4
Fig 4. Risk of bias summary reflecting reviewers’ judgments about each risk of bias item for studies included in the meta-analysis.

References

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