2023
DOI: 10.1111/1756-185x.14962
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Industry‐sponsored meal payments are associated with prescriptions and Medicare expenditures on brand‐name colchicine in the United States

Anju Murayama

Abstract: AimTo investigate the association between industry‐sponsored meal payments and the prescribing patterns of brand‐name colchicines, namely Colcrys and Mitigare, among Medicare beneficiaries in the United States from 2014 to 2021.MethodsThis cross‐sectional study utilized data from the Open Payments Database and Medicare Part D covering the years 2014 to 2021. The study included 54 836 physicians who submitted more than 10 colchicine claims. Exposure was defined as the receipt of one or more industry‐sponsored m… Show more

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Cited by 10 publications
(5 citation statements)
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“…7,[14][15][16][17] This study only considered meal payments, as previous studies showed that, of several payment categories, meal payments were strongly associated with increased drug prescriptions and healthcare costs in the United States. 6,8,13,18,19 The association between meal payments for dupilumab and the dupilumab prescriptions was evaluated using a logistic generalised estimating equation (GEE), adjusting for the covariates including gender, practice region, years in practice, the graduated medical schools, and payment/prescribed year. 7 Furthermore, the associations between the number of payments and the total number of 30-day standardised claims and Medicare expenditures were examined using negative binomial regression GEE models because the prescription variables were highly skewed, as in a previous study.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…7,[14][15][16][17] This study only considered meal payments, as previous studies showed that, of several payment categories, meal payments were strongly associated with increased drug prescriptions and healthcare costs in the United States. 6,8,13,18,19 The association between meal payments for dupilumab and the dupilumab prescriptions was evaluated using a logistic generalised estimating equation (GEE), adjusting for the covariates including gender, practice region, years in practice, the graduated medical schools, and payment/prescribed year. 7 Furthermore, the associations between the number of payments and the total number of 30-day standardised claims and Medicare expenditures were examined using negative binomial regression GEE models because the prescription variables were highly skewed, as in a previous study.…”
Section: Methodsmentioning
confidence: 99%
“…4 Prior investigations have shown that there are significant associations between industry payments to physicians and physicians' prescribing behaviours in several specialties other than dermatology. [5][6][7][8][9][10][11][12] However, to date, no research has explored the association between industry payments to dermatologists and their clinical practices. This study aimed to evaluate the associations between industry payments to dermatologists related to dupilumab and their dupilumab prescribing patterns in the United States.…”
Section: Introductionmentioning
confidence: 99%
“…Furthermore, physicians may engage in companies’ promotional or marketing activities, 1 2 potentially biasing their decision-making efforts including prescribing patterns and guideline recommendations. 3 4 These COIs could bias physicians’ decision-making including prescribing patterns and guideline recommendations. 35 17 …”
Section: Introductionmentioning
confidence: 99%
“… 3 4 These COIs could bias physicians’ decision-making including prescribing patterns and guideline recommendations. 35 17 …”
Section: Introductionmentioning
confidence: 99%
“…The healthcare industry tends to focus its marketing efforts on physicians with a larger patient base 4 and more significant influence on other physicians' clinical practices, 5,6 as well as on new expensive drugs that have lower cost-effectiveness and generally prescribed by a limited number of specialists. [7][8][9] This results in younger physicians being less targeted by pharmaceutical companies and having fewer opportunities to receive information, especially about new drugs, from MRs and pharmaceutical companies. 7,10 Therefore, the lower proportion of younger physicians considering information from pharmaceutical companies as essential could be attributed to fewer interactions with the pharmaceutical companies because of their relatively lower prescription volumes and clinical influence compared to older physicians.…”
mentioning
confidence: 99%