Dataset Information

Association between industry payments and prescriptions of long-acting insulin: An observational study with propensity score matching.

ABSTRACT:

Background

The rapidly increased spending on insulin is a major public health issue in the United States. Industry marketing might be one of the upstream determinants of physicians' prescription of long-acting insulin-the most commonly used and costly type of insulin, but the evidence is lacking. We therefore aimed to investigate the association between industry payments to physicians and subsequent prescriptions of long-acting insulin.

Methods and findings

Using the databases of Open Payments and Medicare Part D, we examined the association between the receipt of industry payments for long-acting insulin in 2016 and (1) the number of claims; (2) the costs paid for all claims; and (3) the costs per claim of long-acting insulin in 2017. We also examined the association between the receipt of payments and the change in these outcomes from 2016 to 2017. We employed propensity score matching to adjust for the physician-level characteristics (sex, years in practice, specialty, and medical school attended). Among 145,587 eligible physicians treating Medicare beneficiaries, 51,851 physicians received industry payments for long-acting insulin worth $22.3 million. In the propensity score-matched analysis including 102,590 physicians, we found that physicians who received the payments prescribed a higher number of claims (adjusted difference, 57.8; 95% CI, 55.8 to 59.7), higher costs for total claims (adjusted difference, +$22,111; 95% CI, $21,387 to $22,836), and higher costs per claim (adjusted difference, +$71.1; 95% CI, $69.0 to $73.2) of long-acting insulin, compared with physicians who did not receive the payments. The association was also found for changes in these outcomes from 2016 to 2017. Limitations to our study include limited generalizability, confounding, and possible reverse causation.

Conclusions

Industry marketing payments to physicians for long-acting insulin were associated with the physicians' prescriptions and costs of long-acting insulin in the subsequent year. Future research is needed to assess whether policy interventions on physician-industry financial relationships will help to ensure appropriate prescriptions and limit overall costs of this essential drug for diabetes care.

SUBMITTER: Inoue K

PROVIDER: S-EPMC8205129 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:BackgroundCardinality matching (CM), a novel matching technique, finds the largest matched sample meeting prespecified balance criteria thereby overcoming limitations of propensity score matching (PSM) associated with limited covariate overlap, which are especially pronounced in studies with small sample sizes. The current study proposes a framework for large-scale CM (LS-CM); and compares large-scale PSM (LS-PSM) and LS-CM in terms of post-match sample size, covariate balance and residual confounding at progressively smaller sample sizes.MethodsEvaluation of LS-PSM and LS-CM within a comparative cohort study of new users of angiotensin-converting enzyme inhibitor (ACEI) and thiazide or thiazide-like diuretic monotherapy identified from a U.S. insurance claims database. Candidate covariates included patient demographics, and all observed prior conditions, drug exposures and procedures. Propensity scores were calculated using LASSO regression, and candidate covariates with non-zero beta coefficients in the propensity model were defined as matching covariates for use in LS-CM. One-to-one matching was performed using progressively tighter parameter settings. Covariate balance was assessed using standardized mean differences. Hazard ratios for negative control outcomes perceived as unassociated with treatment (i.e., true hazard ratio of 1) were estimated using unconditional Cox models. Residual confounding was assessed using the expected systematic error of the empirical null distribution of negative control effect estimates compared to the ground truth. To simulate diverse research conditions, analyses were repeated within 10 %, 1 and 0.5 % subsample groups with increasingly limited covariate overlap.ResultsA total of 172,117 patients (ACEI: 129,078; thiazide: 43,039) met the study criteria. As compared to LS-PSM, LS-CM was associated with increased sample retention. Although LS-PSM achieved balance across all matching covariates within the full study population, substantial matching covariate imbalance was observed within the 1 and 0.5 % subsample groups. Meanwhile, LS-CM achieved matching covariate balance across all analyses. LS-PSM was associated with better candidate covariate balance within the full study population. Otherwise, both matching techniques achieved comparable candidate covariate balance and expected systematic error.ConclusionsLS-CM found the largest matched sample meeting prespecified balance criteria while achieving comparable candidate covariate balance and residual confounding. We recommend LS-CM as an alternative to LS-PSM in studies with small sample sizes or limited covariate overlap.

Project description:OBJECTIVE:To investigate the association between physician characteristics and the value of industry payments. DESIGN:Observational study. SETTING AND PARTICIPANTS:Using the 2015-2017 Open Payments reports of industry payments linked to the Physician Compare database, we examined the association between physician characteristics (physician sex, years in practice, medical school attended and specialty) and the industry payment value, adjusting for other physician characteristic and institution fixed effects (effectively comparing physicians practicing at the same institution). MAIN OUTCOME MEASURES:Our primary outcome was the value of total industry payments to physicians including (1) general payments (all forms of payments other than those classified for research purpose, eg, consulting fees, food, beverage), (2) research payments (payments for research endeavours under a written contract or protocol) and (3) ownership interests (eg, stock or stock options, bonds). We also investigated each category of payment separately. RESULTS:Of 544 264 physicians treating Medicare beneficiaries, a total of $5.8 billion in industry payments were made to 365 801 physicians during 2015-2017. The top 5% of physicians, by cumulative payments, accounted for 91% of industry payments. Within the same institution, male physicians, physicians with 21-30 years in practice and physicians who attended top 50 US medical schools (based on the research ranking) received higher industry payments. Across specialties, orthopaedic surgeons, neurosurgeons and endocrinologists received the highest payments. When we investigated individual types of payment, we found that orthopaedic surgeons received the highest general payments; haematologists/oncologists were the most likely to receive research payments and surgeons were the most likely to receive ownership interests compared with other types of physicians. CONCLUSIONS:Industry payments to physicians were highly concentrated among a small number of physicians. Male sex, longer length of time in clinical practice, graduated from a top-ranked US medical school and practicing certain specialties, were independently associated with higher industry payments.

Project description:ObjectivesTo investigate the extent and nature of pharmaceutical industry payments related to fertility and assisted reproduction in Australia.Design and settingThis retrospective observational study employed four databases compiled from publicly available pharmaceutical industry transparency reports on educational event sponsorship (October 2011-April 2018), payments to healthcare professionals (October 2015-April 2018) and patient group support (January 2013-December 2017). Analyses were restricted to fertility-related payments by two major manufacturers of fertility medicines in Australia: Merck Serono and Merck, Sharp and Dohme (MSD).Primary and secondary outcome measuresDescriptive statistics on fertility-related payments and other transfers of value (counts, total and median costs in Australian dollars) for educational events and to healthcare professionals and patient groups.ResultsBetween October 2011 and April 2018, Merck Serono and MSD spent $A4 522 263 on 970 fertility-related events for healthcare professionals, including doctors, nurses and fertility scientists. 56.8% (551/970) events were held by fertility clinics and 29.3% (284/970) by professional medical associations. Between October 2015 and April 2018, Merck Serono spent $A403 800 across 177 payments to 118 fertility healthcare professionals, predominantly for educational event attendance. Recipients included obstetricians and gynaecologists (76.3% of payments, 135/177), nurses (11.3%, 20/177) and embryologists/fertility scientists (9.6%, 17/117). The highest paid healthcare professionals held leadership positions in major fertility clinics. Merck Serono provided $A662 850 to fertility-related patient groups for advocacy and education (January 2013-December 2017).ConclusionsThe pharmaceutical industry sponsored a broad range of fertility clinicians and organisations, including doctors, nurses, embryologists, professional medical organisations, fertility clinics and patient groups. This sponsorship may contribute to the overuse of fertility services.