Prescription Drug Expenditures Research Articles

National trends in prescription drug expenditures and projections for 2024.

In an effort to expedite the publication of articles, AJHP is posting manuscripts online as soon as possible after acceptance. Accepted manuscripts have been peer-reviewed and copyedited, but are posted online before technical formatting and author proofing. These manuscripts are not the final version of record and will be replaced with the final article (formatted per AJHP style and proofed by the authors) at a later time. To report historical patterns of pharmaceutical expenditures, to identify factors that may influence future spending, and to predict growth in drug spending in 2024 in the United States, with a focus on the nonfederal hospital and clinic sectors. Historical patterns were assessed by examining data on drug purchases from manufacturers using the IQVIA National Sales Perspectives database. Factors that may influence drug spending in hospitals and clinics in 2024 were reviewed-including new drug approvals, patent expirations, and potential new policies or legislation. Focused analyses were conducted for biosimilars, cancer drugs, endocrine drugs, generics, and specialty drugs. For nonfederal hospitals, clinics, and overall (all sectors), estimates of growth of pharmaceutical expenditures in 2024 were based on a combination of quantitative analyses and expert opinion. In 2023, overall pharmaceutical expenditures in the US grew 13.6% compared to 2022, for a total of $722.5 billion. Utilization (a 6.5% increase), new drugs (a 4.2% increase) and price (a 2.9% increase) drove this increase. Semaglutide was the top drug in 2023, followed by adalimumab and apixaban. Drug expenditures were $37.1 billion (a 1.1% decrease) and $135.7 billion (a 15.0% increase) in nonfederal hospitals and clinics, respectively. In clinics, increased utilization drove growth, with a small impact from price and new products. In nonfederal hospitals, a drop in utilization led the decrease in expenditures, with price and new drugs modestly contributing to growth in spending. Several new drugs that will influence spending are expected to be approved in 2024. Specialty, endocrine, and cancer drugs will continue to drive expenditures. For 2024, we expect overall prescription drug spending to rise by 10.0% to 12.0%, whereas in clinics and hospitals we anticipate an 11.0% to 13.0% increase and a 0% to 2.0% increase, respectively, compared to 2023. These national estimates of future pharmaceutical expenditure growth may not be representative of any health system because of the myriad of local factors that influence actual spending.

Projected prescription drug expenditures in 2024: Looking ahead to the inflation reduction era.

In an effort to expedite the publication of articles, AJHP is posting manuscripts online as soon as possible after acceptance. Accepted manuscripts have been peer-reviewed and copyedited, but are posted online before technical formatting and author proofing. These manuscripts are not the final version of record and will be replaced with the final article (formatted per AJHP style and proofed by the authors) at a later time.

The Affordable Care Act and Racial Disparities in Healthcare Utilization: New Evidence From Employer Mandate

The 2010 United States Affordable Care Act (ACA) mandates small and mid-size firms to provide health insurance for full-time workers. This study investigates whether a key provision of the ACA employer mandate has reduced racial disparities in health services use among uterine cancer (UC) survivors. Employing a nationally representative Medical Expenditure Panel Survey (MEPS) data from 2008 to 2017 and the Difference-in-Differences empirical model, we find that the ACA employer mandate increases the utilization of pap smear tests among all groups of UC survivors. Additionally, our results suggest a rise in physician's office visits among non-Hispanic Black and Hispanic UC survivors driven by the announcement of the employer mandate in the post-ACA period. Our results further suggest a reduction in out-of-pocket prescription drug expenditure among UC survivors of racial and ethnic minorities. Study findings have implications for improving ethnic minority female population health outcomes.

Medicare Part B and Part D drug eligibility for center for Medicare and Medicaid Services price negotiation under the Inflation Reduction Act: estimates using 2016-2019 data.

To reduce Medicare prescription drug expenditures, the 2022 Inflation Reduction Act (IRA) allows the Centers for Medicare & Medicaid Services (CMS) to directly negotiate with drug manufacturers on Medicare prices of high-expenditure drugs (≥$200m annual spending) which meet certain eligibility criteria. However, it is unclear what proportion of high-expenditure drugs covered by Medicare, and attributable annual drug spending, would typically be eligible for CMS negotiations in a given year. We used historical Medicare drug spending data to determine how many high-expenditure drugs, and attributable drug spending, would have been eligible for CMS negotiations had the IRA been in effect from 2016-2019, while also determining which of the IRA's eligibility criteria is most restrictive. From 2016-2019, approximately one third (33.3% for Part B, 32.4% for Part D) of high-expenditure Medicare drugs would have been eligible for negotiation, with ineligible drugs accounting for 75.2% and 63.8% of spending on high-expenditure drugs in Medicare Part B and D, respectively. Most ineligible high-expenditure drugs were ineligible because they launched too recently. From 2016-2019, between 59 and 74 high-expenditure drugs were eligible per year, indicating that in some years there may not be enough eligible drugs for CMS to negotiate on the maximum number of drugs allowable by law. The IRA's current eligibility criteria may restrict CMS from being able to negotiate drug prices on approximately two-thirds of the high-expenditure drugs covered by Medicare and may not allow CMS to negotiate on the maximum number of drugs allowable by law. Congress could consider relaxing eligibility requirements for price negotiation, such as those pertaining to launch date recency, to ensure there are a sufficient number of high-expenditure drugs eligible for negotiation or make certain ineligible drugs contributing to significant annual Medicare spending eligible for negotiation on a case-by-case basis.

Analysis of factors related to medicine consumption pattern in pregnant women (Field study at Jagir Public Health Center, Surabaya in 2023)

Medications can have unintended effects on the fetus during pregnancy. During pregnancy, a woman may experience various complaints or health problems that require medication. Improper use of medication during pregnancy and inadequate nutrient intake can cause structural and functional abnormalities. Congenital anomalies occur in 3–4% of pregnancies, and in addition, improper medication use has been estimated to be the cause of abnormalities in 10% of births [1].This study aimed to analyze the factors associated with medication use patterns in pregnant women in the Jagir Public Health Centre Surabaya, in relation to the history of health problems experienced by the mother before pregnancy, complaints experienced by the mother during pregnancy, the status of consultation by pregnant women to health workers, and the status of recommendation of close people of pregnant women regarding the use of certain medications during pregnancy. The research method used was observational with a cross-sectional research design. Data collection was carried out in June-September 2023, using purposive sampling, with the research subjects being pregnant women in the working area of the Jagir Public Health Centre Surabaya. The instrument used in this study was a questionnaire for the use of medication in pregnant women that has been tested for validity and reliability. Statistical data analysis used Chi-Square test with a significance level of 5% and the help of SPSS 25.0 software. The results of the study showed that of the total respondents of 122 pregnant women, 17.2% had a history of health problems before pregnancy, 49.2% had complaints experienced during pregnancy, but 91.8% of respondents had consulted with health workers and 56.6% had received recommendations from close people regarding the use of certain medications. Pregnant women who received and consumed prescription drugs were 16.4%, had consumed over-the-counter drugs 23%, consumed herbal 24.6%, and consumed supplements 97.5%. The results of the Chi-Square test showed that there was a significant effect on the relationship between the mother's medical history and the pattern of prescription drug consumption (p = 0.000), the complaints experienced by the mother during pregnancy with the pattern of prescription drug and over-the-counter drug consumption (p = 0.042; 0.000), the status of recommendation of close people of pregnant women with the pattern of over-the-counter drug and herbal consumption (p = 0.000; 0.001). From this study showed that the factors that influence the medication use patterns of pregnant women included the mother's history of health problems before pregnancy, the complaints experienced by the mother during pregnancy, and the status of recommendation from the close people of pregnant women.

Investigating the effectiveness of one-class and binary classification for fraud detection

Research into machine learning methods for fraud detection is of paramount importance, largely due to the substantial financial implications associated with fraudulent activities. Our investigation is centered around the Credit Card Fraud Dataset and the Medicare Part D dataset, both of which are highly imbalanced. The Credit Card Fraud Detection Dataset is large data and contains actual transactional content, which makes it an ideal benchmark for credit card fraud detection. The Medicare Part D dataset is big data, providing researchers the opportunity to examine national trends and patterns related to prescription drug usage and expenditures. This paper presents a detailed comparison of One-Class Classification (OCC) and binary classification algorithms, utilizing eight distinct classifiers. OCC is a more appealing option, since collecting a second label for binary classification can be very expensive and not possible to obtain within a reasonable time frame. We evaluate our models based on two key metrics: the Area Under the Precision-Recall Curve (AUPRC)) and the Area Under the Receiver Operating Characteristic Curve (AUC). Our results show that binary classification consistently outperforms OCC in detecting fraud within both datasets. In addition, we found that CatBoost is the most performant among the classifiers tested. Moreover, we contribute novel results by being the first to publish a performance comparison of OCC and binary classification specifically for fraud detection in the Credit Card Fraud and Medicare Part D datasets.

Dynamic Effects of Long-Term Care Insurance on Healthcare Expenditures: Evidence from South Korea

Long-term care expenses pose a large financial risk to the elderly. In 2008, South Korea introduced a public long-term care insurance (LTCI) program for individuals older than 65. We study the dynamic effects of the LTCI on various healthcare expenditures. We find that after the implementation of the LTCI, average prescription drug and outpatient expenditures of the elderly increased. Dynamically, we observe that the growth in these expenditures moderates. We also find suggestive evidence that after the introduction of the LTCI, the elderly may utilize LTC hospitals instead of inpatient hospital services. These findings underscore the importance of understanding the long-term effects of LTCI on health and healthcare expenditures of the elderly and the need to account for interactions between LTC and other types of healthcare services in policy design.

Self-Medication during the COVID-19 Pandemic in Brazil: Findings and Implications to Promote the Rational Use of Medicines.

Self-medication is identified by the consumption of medications without a prescription or guidance from a qualified prescribing professional. This study estimated the prevalence, profile, and associated factors with self-medication during the COVID-19 pandemic in Brazil. A cross-sectional study was conducted through a household survey in the Alegre city, from November to December 2021. Descriptive analysis was performed for the sociodemographic and clinical characteristics of the interviewees. Poisson regression with robust variance was used to identify the association of sociodemographic and clinical variables with self-medication. A total of 654 people were interviewed, of whom 69.4% were self-medicating. The younger age group (PR = 1.13; 95% CI = 1.01-1.26), female gender (PR = 1.19; 95% CI = 1.04-1.37), consumption of alcoholic beverages (PR = 1.13; 95% CI = 1.01-1.25), and problems with adherence to pharmacological treatment (PR = 1.15; 95% CI = 1.04-1.28) were associated with self-medication, while the occurrence of polypharmacy (PR = 0.80; 95% CI = 0.68-0.95) was a protective factor for self-medication. Self-medication was directly related to over-the-counter drugs, with analgesics dipyrone and paracetamol being the most commonly used. Self-medication consumption of prescription drugs, including those under special control, was identified to a lesser extent.

The Association of Medicaid expansion with prescription drug utilization and expenditure among low-income participants with asthma

Objective This study estimated the association between the 2014 Medicaid expansion and asthma-related prescription drug utilization and expenditures among low-income adult participants with asthma, including those with uncontrolled asthma, in the United States. Methods In this national analysis, using a pooled dataset from 2007–2018 Medical Expenditure Panel Surveys (MEPS), regression discontinuity (D-RD) analyses estimated the association between Medicaid expansion and utilization of and expenditures for asthma-related prescription drugs among participants with asthma aged 26–64 with incomes below vs. at/above 138% of the federal poverty level (FPL). A sub-sample analysis was also conducted among participants with uncontrolled asthma. Utilization and expenditure outcomes were estimated using two-part models with logit as the first part and generalized linear models as the second part. Results Utilization of and total cost for asthma-related prescription drugs increased by 1.89 fills (p < 0.001) and $306.59 (p < 0.001) among participants with asthma with income below 138% FPL after Medicaid expansion. The utilization and total cost of both short-acting bronchodilators and inhaled corticosteroids (ICSs) increased after Medicaid expansion among participants with asthma with incomes below 138% FPL. Among participants with uncontrolled asthma with incomes below 138% FPL, utilization and expenditures increased after Medicaid expansion for all asthma-related prescription drugs and short-acting bronchodilators. Conclusion Medicaid expansion was associated with increased utilization of and total expenditures for both quick-relief and preventive asthma medications among all low-income participants with asthma, but not with utilization of preventive medications among those with uncontrolled asthma.

National trends in prescription drug expenditures and projections for 2023.

To report historical patterns of pharmaceutical expenditures, to identify factors that may influence future spending, and to predict growth in drug spending in 2023 in the United States, with a focus on the nonfederal hospital and clinic sectors. Historical patterns were assessed by examining data on drug purchases from manufacturers using the IQVIA National Sales Perspectives database. Factors that may influence drug spending in hospitals and clinics in 2023 were reviewed, including new drug approvals, patent expirations, and potential new policies or legislation. Focused analyses were conducted for biosimilars, cancer drugs, diabetes medications, generics, COVID-19 pandemic influence, and specialty drugs. For nonfederal hospitals, clinics, and overall (all sectors), estimates of growth of pharmaceutical expenditures in 2023 were based on a combination of quantitative analyses and expert opinion. In 2022, overall pharmaceutical expenditures in the US grew 9.4% compared to 2021, for a total of $633.5 billion. Utilization (a 5.9% increase), price (a 1.7% increase) and new drugs (a 1.8% increase) drove this increase. Adalimumab was the top-selling drug in 2022, followed by semaglutide and apixaban. Drug expenditures were $37.2 billion (a 5.9% decrease) and $116.9 billion (a 10.4% increase) in nonfederal hospitals and clinics, respectively. In clinics, new products and increased utilization growth drove growth, with a small impact from price changes. In nonfederal hospitals, a drop in utilization led to a decrease in expenditures, with price changes and new drugs contributing to growth in spending. Several new drugs that will influence spending have been or are expected to be approved in 2023. Specialty and cancer drugs will continue to drive expenditures along with the evolution of the COVID-19 pandemic. For 2023, we expect overall prescription drug spending to rise by 6.0% to 8.0%, whereas in clinics and hospitals we anticipate increases of 8.0% to 10.0% and 1.0% to 3.0%, respectively, compared to 2022. These national estimates of future pharmaceutical expenditure growth may not be representative of any particular health system because of the myriad of local factors that influence actual spending.

What Effect Did Medicare Part D Have on SSDI Medicare Beneficiaries? A Look at Prescription Drug Coverage, Utilization, and Expenditures

Previous articleNext article No AccessWhat Effect Did Medicare Part D Have on SSDI Medicare Beneficiaries? A Look at Prescription Drug Coverage, Utilization, and ExpendituresBrett AlfreyBrett Alfrey Search for more articles by this author PDFPDF PLUS Add to favoritesDownload CitationTrack CitationsPermissionsReprints Share onFacebookTwitterLinkedInRedditEmail SectionsMoreDetailsFiguresReferencesCited by American Journal of Health Economics Just Accepted Published for the American Society of Health Economists (ASHEcon) Article DOIhttps://doi.org/10.1086/724795 HistoryAccepted January 31, 2023 © 2023 American Society of Health Economics. All Rights reserved.PDF download Crossref reports no articles citing this article.

Economic burden of low cardiorespiratory fitness in Canada

The objective of this study was to estimate health care and health-related productivity costs associated with low cardiorespiratory fitness (CRF) in Canadian adults. We also estimated costs that would be avoided by a 10 percentage point prevalence reduction in low CRF. A prevalence-based approach was used to estimate the economic costs associated with low CRF. Three pieces of information were used: (1) the pooled relative risk estimates of adverse health outcomes consistently associated with low CRF obtained from meta-analyses of prospective cohort studies; (2) the prevalence of low CRF in Canadian men and women obtained from a nationally representative sample; and (3) the direct (health care) and indirect (lost productivity due to premature mortality) costs of the adverse health outcomes based on the Economic Burden of Illness in Canada data. We estimated the total annual economic burden of low CRF in Canadian adults at CAD$3.6 billion, representing 2.7% of the overall Canadian burden of illness costs in 2021. The three most expensive chronic diseases attributable to low CRF were type 2 diabetes (CAD$1.3 billion), heart disease (CAD$701 million), and depression/anxiety (CAD$565 million). Prescription drug expenditures and hospital care expenditures were the main contributors to the total economic burden. An absolute 10% reduction in the prevalence of low CRF (from 45.5% to 35.5%) would save an estimated CAD$644 million per year in costs. In conclusion, low CRF is an important contributor to the economic burden of illness in Canada. Evidence-based and cost-effective strategies that aim to increase CRF at the population level may help alleviate health care costs and improve health.

Does the legalisation of cannabis for medicinal use impact private health insurer prescription drug expenditures?

Does the legalisation of cannabis for medicinal use impact private health insurer prescription drug expenditures?

Counterfactual Decomposition of Health Care Expenditures: From Cost-Based Payment to a Global Budget System

Abstract This study divides health care expenditures into observable effects and structural shifts to explore the impacts of population ageing and high technology on the growth in outpatient service, inpatient service, and prescription drug expenditures in a health care system that has experienced a shift in payment schemes from a cost-based to a global budget system. By using the quantile decomposition method to examine data from Taiwan, the study shows that, in the short run, all expenditures exhibit an increasing trend in the higher percentiles. In the long run, an observable effect dominates the growth of health care expenditures. Specifically, population ageing leads to the growth of prescription drug expenditures in the higher percentiles. The adoption of high technology drives the growth of the top outpatient and inpatient service expenditures. These results suggest that while the government health care agency aims to control health care expenditures, improving the management of high-cost patients is likely to be one important avenue to improving the effectiveness of the cost control policy.

Driving under the Influence of Amphetamine: Analytical Evaluation of Illegal or Prescription Drug Intake Using Chiral UHPLC-MS-MS.

Differentiation between consumption of illegal and prescription drugs remains an important aspect in forensic toxicology. While illicit amphetamine is most often racemic, the medicinal drugs marketed in Denmark for the treatment of attention-deficit hyperactivity disorder contain the pure (S)-enantiomer or a prodrug thereof. In this study, we present a simple and efficient analytical workflow to provide information about the origin of amphetamine consumed in forensic cases concerning driving under the influence of drugs (DUID). Following quantification of amphetamine and methamphetamine using our conventional multi-target ultra-high performance liquid chromatography-tandem mass spectrometry method, determination of (R)- and (S)-amphetamine was performed by reinjecting the sample extract on a Phenomenex LUX® AMP chiral column using the same analytical instrument and mobile phases. Chiral separation was performed isocratic within a run time of 6 min. The analytical workflow was applied to blood samples from 5,248 suspected DUID cases within a 2-year period. Amphetamine was detected in 18.7% of the samples, of which both enantiomers were detected in 89.5% of the cases, indicating the consumption of illegal racemic amphetamine. In 6.1% of the positive cases, both amphetamine and methamphetamine were detected, indicating either co-consumption of both amphetamines or consumption of methamphetamine. In the remaining 4.4%, only (S)-amphetamine was detected indicating the consumption of prescription drugs containing (S)-amphetamine or a prodrug thereof. Implementation of a simple and rapid chiral method in the conventional analytical workflow for routine forensic casework proved to be an efficient way to elucidate whether a positive amphetamine result originates from illegal or prescription drug consumption, without increasing turnaround time nor costs to any significant extent, as no additional sample preparation was required.

893-P: Incremental Health Care Utilizations and Medical Expenditures Associated with Cognitive Impairment among Older Adults with Diabetes

Cognitive impairment (CI) poses a large economic burden on the US health care system, but little is known about how CI impacts health care (HC) utilization and medical expenditures among people with diabetes. Using data from the 2016-20Medical Expenditure Panel Survey, we quantified the incremental HC utilization and medical expenditures associated with CI among adults aged ≥ 60 years with diabetes. Diabetes status was based on self-report. Participants who reported having difficulty concentrating, remembering, or making decisions were defined as having CI. We used negative binomial regressions to model the number of ambulatory visits, prescriptions, and home health care days; logistic regressions to model the probabilities of ER visits and hospital admissions; and gamma regressions to model medical expenditures in total and by category. All models were adjusted for age, sex, race and ethnicity, income, education, and comorbidities. We included 6,714 adults ≥ 60 years with diabetes, of which 1,025 (15.27%) had CI. CI was associated with additional ambulatory visits (+4.7 [95% CI, 3.5-5.8]) , drug prescriptions (+10.6 [8.1-13.1]) , and home health care days (+32.6 [19.2-52.2]) ; and higher odds of ER visits (Odds Ratio (OR) : 1.55 [95% CI, 1.27-1.89]) and hospital admissions (OR: 1.27 [1.02-1.58]) . CI was also associated with additional expenditures for outpatient care (+$12[$731-$1720], or 28% higher than those without CI [17%-40%]) , prescription drugs (+$17[$1103-$2372], or 31% higher [20%-43%]) , and home health care (+$25[$445-$7060], or 197% higher [35%-555%]) . Overall, those with CI spent $70[$5168-$8835], or 42% [31%-53%] more than those without CI. All p &amp;lt; 0.05. CI is associated with higher HC utilization and medical expenditures among older adults with diabetes. Early detection of CI and additional assistance to those with CI may lower CI-related HC utilization and expenditure in this population. Disclosure D.Guan: None. P.Zhang: None. S.Tang: None. J.D.Brown: None. R.R.Fang: None. J.Guo: None. Y.Zhang: None. H.Shao: Board Member; BRAVO4HEALTH, LLC.

National trends in prescription drug expenditures and projections for 2022.

PurposeTo report historical patterns of pharmaceutical expenditures, to identify factors that may influence future spending, and to predict growth in drug spending in 2022 in the United States, with a focus on the nonfederal hospital and clinic sectors.MethodsHistorical patterns were assessed by examining data on drug purchases from manufacturers using the IQVIA National Sales Perspectives database. Factors that may influence drug spending in hospitals and clinics in 2022 were reviewed—including new drug approvals, patent expirations, and potential new policies or legislation. Focused analyses were conducted for biosimilars, cancer drugs, generics, COVID-19 pandemic influence, and specialty drugs. For nonfederal hospitals, clinics, and overall (all sectors), estimates of growth of pharmaceutical expenditures in 2022 were based on a combination of quantitative analyses and expert opinion.ResultsIn 2021, overall pharmaceutical expenditures in the US grew 7.7% compared to 2020, for a total of $576.9 billion. Utilization (a 4.8% increase), price (a 1.9% increase) and new drugs (a 1.1% increase) drove this increase. Adalimumab was the top drug in terms of overall expenditures in 2021, followed by apixaban and dulaglutide. Drug expenditures were $39.6 billion (a 8.4% increase) and $105.0 billion (a 7.7% increase) in nonfederal hospitals and in clinics, respectively. In clinics and hospitals, new products and increased utilization growth drove growth, with decreasing prices for both sectors acting as an expense restraint. Several new drugs that are likely to influence spending are expected to be approved in 2022. Specialty and cancer drugs will continue to drive expenditures along with the evolution of the COVID-19 pandemic.ConclusionFor 2022, we expect overall prescription drug spending to rise by 4.0% to 6.0%, whereas in clinics and hospitals we anticipate increases of 7.0% to 9.0% and 3.0% to 5.0%, respectively, compared to 2021. These national estimates of future pharmaceutical expenditure growth may not be representative of any particular health system because of the myriad of local factors that influence actual spending.

Use of Cognitive Enhancers by Portuguese Medical Students: Do Academic Challenges Matter?

Nonmedical use of prescription drugs and other substances for cognitive enhancement in the academic environment has been documented in several studies. However, the prevalence among Portuguese university students is unknown. We aimed to assess the prevalence and academic contexts of the use of cognitive enhancers of a sample of Portuguese medical students. An online questionnaire about the use of cognitive enhancers was completed by 1156 participants, who were either medical students (group 1) or newly qualified physicians applying for the Portuguese medical licensing exam (group 2). Coffee was the most frequently used substance for cognitive enhancement purposes in both groups, whereas nonmedical use of prescription drugs for cognitive enhancement was lower in undergraduate students (5%) and higher in licensing exam applicants (14%). Methylphenidate (35%) and modafinil (10%) were the most consumed prescription substances and they were mainly used to enhance attention (83%) and memory (44%). Use of prescription drugs for cognitive enhancement was mainly associated with studying for medical school exams and the medical licensing exam. Most prescription drugs for cognitive enhancement were obtained through medical prescription (54%). These results show a low consumption of prescription drugs for cognitive enhancement by Portuguese medical students. Licensing exam applicants show a higher consumption of almost every substance included in this study, which might be explained by the crucial role of the exam in defining their future career path and desire by students to improve the cognitive skills that determine exam success. Studying drugtaking behaviors in medical students and young doctors is relevant for public health and medical education, since they will soon be in charge of drugs prescription. Therefore, ethical and medical concerns raised by off label consumption of prescription drugs for cognitive enhancement purposes must be openly addressed.

Predictors of loss due to pharmaceutical fraud: evidence from the U.S.

BackgroundGlobally and in the U.S. in particular, pharmaceutical fraud account for a large number out of all crimes in health care, which result into severe costs to the society. The Academy of Managed Care Pharmacists (Fraud, waste, and abuse in prescription drug benefits. 2019. Posted May 20. https://www.amcp.org/policy-advocacy/policy-advocacy-focus-areas/where-we-stand-position-statements/fraud-waste-and-abuse-prescription-drug-benefits.) estimate that pharmacy fraud is 1% of costs, therefore estimating that pharmacy fraud costs at $3.5 billion, given that pharmacy costs are $358 billion (Statista. Prescription drug expenditure in the United States from 1960 to 2020. 2021. https://www.statista.com/statistics/184914/prescription-drug-expenditures-in-the-us-since-1960/).AimThis exploratory study aims to demonstrate a fraudster’s profile as well as to estimate average consequences in terms of costs and identify the loss predictors’ hierarchy in the pharmaceutical industry in the U.S.Materials and methodsData from the Corporate Prosecution Registry and mixed-effects models are utilized for this purpose. The dataset covers years 2001–2020 and 75 cases, falling into one of the following broad sub-categories: misbranding, counterfeit, off-label use of drugs/deceptive marketing; violation of the Food, Drug and Cosmetic Act.ResultsThe main factors positively associated with loss due to pharmaceutical fraud are: (i) duration of , and (ii) the scheme and scheme being executed at a U.S. public company. Surprisingly, presence of collusion negatively and significantly effects the cost. Potential factors include: (a) principal perpetrator being a white American and/or male, and (b) number of employees at individual and organizational level respectively.ConclusionThis study empirically justifies considering loss, due to pharmaceutical fraud, from a multi-level perspective. Identified profiles of a typical fraudster helped to elaborate on specific practical recommendations aimed at pharmaceutical fraud prevention in the U.S.

Association Between Payments by Pharmaceutical Manufacturers and Prescribing Behavior in Rheumatology

ObjectiveTo evaluate the association between pharmaceutical industry payments to rheumatologists and their prescribing behaviors. MethodsA cross-sectional analysis was conducted of Medicare Part B Public Use File, Medicare Part D Public Use File, and Open Payments data for 2013 to 2015. Prescription drugs responsible for 80% of the total Medicare pharmaceutical expenditures in rheumatology were analyzed. We calculated the mean annual drug cost per beneficiary per year, the percentage of rheumatologists who received payments, and the median annual payment per physician per drug per year. Industry payments were categorized as food/beverage and consulting/compensation. Multivariable regression models were used to assess associations between industry payments and both prescribing patterns and prescription drug expenditures. ResultsOf 4822 rheumatologists in the Medicare prescribing databases, 3729 received any payment from a pharmaceutical company during this time frame. Food/beverage payments were associated with an increased proportion of prescriptions for the related drugs (range, 1.5% to 4.5%) and an increased proportion of annual Medicare spending for the related drugs (range, 3% to 23%). For every $100 in food/beverage payments, the probability of prescribing increased (range, 1.5% to 14% for most drugs) and Medicare reimbursements increased (range, 6% to 44% for most drugs). Consulting/compensation payments were associated with an increased proportion of prescriptions (range, 1.2% to 1.6%) and an increased proportion of annual Medicare spending (range, 1% to 2%). For every $1000 in consulting/compensation payments, both the probability of prescribing increased (5% or less for most drugs) and Medicare reimbursements increased (less than 10% for most drugs). ConclusionPayments to rheumatologists by pharmaceutical companies are associated with increased probability of prescribing and Medicare spending.