Prescription Drug Costs Among People With Alzheimer Disease and Related Dementias.

This cross-sectional study examines the association of Alzheimer disease and related dementias with prescription drug expenditures across cost distributions.

Pharmacoeconomic implications of preference toward reference- versus generic-brand antidepressants in primary care.

BACKGROUND: The prevalence of depression is gradually increasing worldwide with an increasing utilization of antidepressants. Nevertheless, despite their lower costs, generic-brand antidepressants were reported to be less prescribed. We aimed to examine the costs of reference- versus generic-brand antidepressant prescriptions in primary care practice. METHODS: This cross-sectional study included electronic prescriptions for adult patients that contained antidepressants (World Health Organization's Anatomical Therapeutic Chemical (ATC) code: N06A), which were generated by a systematically selected sample of primary care doctors (n = 1431) in Istanbul in 2016. We examined the drug groups preferred, the reference- versus generic-brand status, and pharmacotherapy costs. FINDINGS: The majority of the prescriptions were prescribed for women (71.8%), and the average age of the patients was 53.6 ± 16.2 years. In prescriptions with a depression-related indication (n = 40 497), the mean number and cost of drugs were 1.5 ± 1.0 and 22.7 ± 26.4 United States Dollar ($) per prescription, respectively. In these prescriptions, the mean number and cost of antidepressants per encounter were 1.1 ± 0.2 and $17.0 ± 13.2, respectively. Reference-brand antidepressants were preferred in 58.2% of depression-related prescriptions, where the mean cost per prescription was $18.3 ± 12.4. The mean cost per prescription of the generics, which constituted 41.8% of the antidepressants in prescriptions, was $15.1 ± 11.4. We found that if the generic version with the lowest cost was prescribed instead of the reference-brand, the mean cost per prescription would be $12.9 ± 11.2. CONCLUSIONS: Our study highlighted the substantial pharmacoeconomic impact of generic-brand antidepressant prescribing, whose preference over reference-brands could reduce the cost of antidepressant medication treatment by 17.5% in primary care, which could be approximately doubled if the cheapest generic antidepressant had been prescribed.

Cost savings from medication reviews in community pharmacies for nursing home residents in Estonia: a case study.

BACKGROUND: The aim of this study is to assess the cost savings from medication reviews conducted for individuals living in nursing homes in Estonia. Medication reviews performed as part of the automated dose dispensing (ADD) service by community pharmacies might help identify suboptimal medicine regimens. METHODS: We use a case study approach to identify suboptimal use of medication in treatment plans and estimate the potential cost saving from medication reviews. To achieve this, we assess 101 treatment plans submitted for medication review by nursing homes in Estonia between 2021 and 2023. Additionally, we run OLS regressions to identify the most important determinants of medication cost savings. RESULTS: We estimate an average direct cost saving of €43.62 per patient per year, which corresponds to 8.27% of the average annual medication costs. If medication reviews were conducted for all elderly individuals over 75 years old who use six or more prescription medicines, nearly 2% of Estonia's pharmaceutical budget could be saved. Regression analysis indicates that the most significant contributors to these cost savings are suboptimal use of generics, incorrect dosages (too high), and the elimination of incorrect medications. CONCLUSIONS: Our study suggests that annual medication reviews conducted as part of the ADD service might help reduce medication expenditure when offered to a wider public.

Budget impact analysis of high-priced orphan medicinal products intended for the treatment of rare diseases in China: evidence from a densely populated metropolis of Chengdu.

BACKGROUND: An increasing number of orphan medicinal products (OMPs) are being included in social health insurance schemes, significantly improving access to medicines for patients with rare diseases. However, high-priced OMPs are still not covered, primarily due to health equity controversies and inadequate data systems required for economic evaluation. The aim of this study was to estimate the burden of drug expenditures and the size of the reimbursement budget required for high-priced OMPs from the perspectives of society and healthcare payers. METHODS: The study performed a budget impact analysis using data from multiple sources to estimate the reimbursement budget for high-priced OMPs in Chengdu, a densely populated metropolis in China. The budget analysis consisted of three main elements: the number of patients, the price of drugs, and the simulated policy scenario. By adjusting the combinations of these elements, the budget fluctuations for payers were estimated. Furthermore, the study predicted the budget trend for the next three years to validate its sustainability. RESULTS: The analysis indicated that 98 rare disease patients in Chengdu required high-priced OMPs in 2019. This suggested a projected budget of CNY 179 million for these patients without reimbursement policies, from a societal perspective. Under six assumed policy scenarios, this budget ranged from CNY 32 million to CNY 156 million. Over the next three years, the annual budget was estimated to range from CNY 200 million to CNY 1.303 billion. CONCLUSION: Integration of multi-source data helps to obtain more scientifically reliable results on budget impacts. The study found that the budgetary impacts of high-priced OMPs on society and payers are relatively limited. Health policymakers can choose appropriate reimbursement strategies based on financial affordability among a diverse mix of elements. The results of related studies provided insights for optimizing the allocation of health resources and improving patient access to medications.

Short- and long-term impacts of the National Essential Medicines Policy on drug availability, price, and usage in a deprived rural county in southwestern China: an interrupted time series analysis across 8 years.

Background: China's National Essential Medicines Policy (NEMP) has been implemented for over 15 years; yet empirical evidence on its long-term impacts is lacking, particularly in remote and rural regions. This study aims to assess the short-and long-term effects of NEMP on the drug availability, price, and usage in a deprived rural county in southwestern China. Methods: A quasi-experimental design was employed, featuring a single-group pre-and-post comparison. We gathered 74,436 procurement records spanning from 2009 to 2016 from the drug warehouses of local medical institutions. Pharmaceutical data were analyzed quarterly, considering various policy and therapeutic attributes. Fisher's Drug Price Index (DPI-F) was calibrated for the retail and wholesale prices of a consistent collection of 405 medications. We conducted interrupted time-series analysis to examine the immediate and enduring impacts of NEMP's initial (commencing in January 2011) and second (starting from December 2015) stages. Results: After initiation of NEMP, the number of available essential medicines surged by 115 but subsequently faced a steady quarterly decline (-9.1) in township healthcare centers (THCs, primary care). Conversely, county hospitals (secondary care) initially saw a reduction of 40 in drug availability but later exhibited a steady increase (+4.2 per quarter) up to the second-stage NEMP. Regarding price, THCs encountered abrupt (-26.1%/-15.9% in retail/wholesale price) and sustained (-0.2%/-0.3% per quarter) price drops after NEMP. The immediate price change after NEMP in county hospitals were milder but significant in non-essential medicines, and long-term declines were also observed in all drugs. As for total sales, a significant long-term disparity emerged between THCs (+0.9% per quarter) and county hospitals (+3.3% per quarter). Following the second-stage NEMP, retail prices in county hospitals further decreased, although wholesale prices did not; however, following price upward trends were observed in both THCs and county hospitals. Lastly, the influences of NEMP varied across different therapeutical categories of medicines. Conclusion: NEMP has successfully regulated drug prices in primary and secondary healthcare facilities in remote and rural areas, both short-term and long-term. However, a remarkable disparity in medicine availability and utilization was observed between different levels of facilities over time. Continuous monitoring is essential, with increased attention needed on the uneven impacts of the policy on diverse drugs, facilities, regions, and demographics.

Parathyroidectomy reduces the costs of medication in patients with secondary hyperparathyroidism.

INTRODUCTION: Subtotal Parathyroidectomy (S-PTx) and total Parathyroidectomy with immediate Autograft (PTx-AG) are well-established techniques for the treatment of refractory Secondary Hyperparathyroidism (SHPT), with comparable improvements in patients' quality of life and survival. However, the long-term costs after these operations may impact the choice of surgical technique. The objective of the study is to analyze the impact of surgical treatment on medication costs and whether there is any difference between medication use after each procedure, considering impacts on the health system. MATERIAL AND METHODS: Prospective and randomized study in patients with severe SHPT undergoing S-PTx and PTx-AG. Analysis of prescribed medication costs in the month before the postoperative period at 1-, 3-, 6-, 12-, and 18 months. Costs were estimated according to government payment system values. The medications of 65 patients after PTx-AG were compared with those of 24 patients after S-PTx. A comparison of the total costs of the period between 38 men and 51 women was also made. RESULTS: There were 89 evaluable cases. Surgery reduced medication costs after 12 months. The median of total drug costs in the analyzed period was R$ 8,375.00 per patient. There was no difference in costs per patient in the S-PTx group compared to the PTx-AG group. The median total costs were R$ 11,063.0 for men and R$ 7,651.0 for women (p = 0.0078). CONCLUSIONS: The type of parathyroidectomy did not impact costs after surgery. In the first year after surgery, the use of calcium and calcitriol was more significant than the use of other medications. In the following months, the use of sevelamer is responsible for the highest costs. Men have higher costs in outpatient follow-up after surgery.

Drug Prices After Patent Expirations in High-Income Countries and Implications for Cost-Effectiveness Analyses.

Importance: Understanding how patent expirations affect drug prices is crucial because price changes directly inform accurate cost-effectiveness assessments. This study investigates the association between patent expirations and drug prices in 8 high-income countries and evaluates how the changes affect cost-effectiveness assessments. Objective: To analyze how the expiration of drug patents is associated with drug price changes and to assess the implications of these price changes for cost-effectiveness evaluations. Design, Setting, and Participants: This cohort study performed an event study design using data from 8 high-income countries to assess the association between patent expiration and drug prices, and created a simulation model to understand the implications for cost-effectiveness analyses. The simulation cost-effectiveness model analyzed the implications of including or ignoring postpatent price dynamics. Exposure: Drug patent expiration. Main Outcomes and Measures: Change in drug prices and differences in incremental cost-effectiveness ratios when considering vs ignoring postpatent price dynamics. Results: The sample comprised 505 drugs undergoing patent expiration in Australia, Canada, France, Germany, Japan, Switzerland, UK, and US. Price decreases were statistically significant over the 8 years after patent expiration, with the fastest price declines observed in the US: 32% (95% CI, 24%-39%) in year 1 after patent expiration and 82% (95% CI, 71%-89%) in the 8 years after patent expiration. Estimates for other nations ranged from a decrease of 64% in Australia to 18% in Switzerland in the 8 years after expiration. The cost-effectiveness simulation model indicated that not accounting for generic entry into the market may produce biased incremental cost-effectiveness ratios of 40% to -40%, depending on the scenario. Conclusions and Relevance: The findings of this cohort study demonstrate that drug prices were reduced substantially after patent expirations in high-income countries. Therefore, incorporating information on patent status and pricing dynamics in cost-effectiveness assessment analyses is necessary for producing accurate economic evaluations of new drugs.

State Out-Of-Pocket Caps On Insulin Costs: No Significant Increase In Claims Or Utilization.

Nearly all patients with type 1 diabetes and 20-30 percent of patients with type 2 diabetes use insulin to manage glycemic control. Approximately one-quarter of patients who use insulin report underuse because of cost. In response, more than twenty states have implemented monthly caps on insulin out-of-pocket spending, ranging from $25 to $100. Using a difference-in-differences approach, this study evaluated whether state-level caps on insulin out-of-pocket spending change insulin usage among commercially insured enrollees. The study included 33,134 people ages 18-64 who had type 1 diabetes or who used insulin to manage type 2 diabetes with commercial insurance coverage that was subject to state-level oversight and was included in the 25 percent sample of the IQVIA PharMetrics database during 2018-21. Insulin out-of-pocket caps did not significantly increase quarterly insulin claims for enrollees who had type 1 diabetes or who used insulin to manage type 2 diabetes. State-level caps on insulin out-of-pocket spending for commercial enrollees did not significantly increase insulin use; that may be in part because of out-of-pocket expenses being lower than cap amounts.

Assessment of national reimbursement anticancer medications availability in China: based on a medical institution perspective.

BACKGROUND: High clinical value national reimbursement anticancer medications (NRAMs) are pivotal treatments for patients with cancer. However, the availability of NRAMs in medical institutions is unknown. This study aimed to assess the availability of NRAMs in national and provincial medical institutions. METHODS: This cross-sectional study utilized national health insurance data to access the availability of NRAMs in national and provincial medical institutions. Further statistical analyses and visualizations were conducted in terms of medical institution level and daily cost. Using the Spearman's rank correlation test (α = 0.05), we calculated the correlation between the availability rates of NRAMs and their negotiation access time, daily cost, per capita disposable income, provincial gross product, and number of policy releases. RESULTS: Overall, 81 NRAMs, with an average availability rate of approximately 1.01% nationwide, were included. There were significant differences between provinces for each drug, and the availability of NRAMs gradually decreased in tertiary (13.41%), secondary (1.58%), and primary medical institutions (< 0.05%). Differences were also observed in the availability rate of NRAMs in various daily drug cost ranges. Among the factors examined, negotiation access time (r1 = 0.425), daily cost (r2 = - 0.326), per capita disposable income (r3 = 0.645), provincial gross product (r4 = 0.433), and number of policy releases (r5 = 0.461) were all correlated with the availability of NRAMs. CONCLUSIONS: The low availability of NRAMs in national and provincial medical institutions indicates that their willingness to equip NRAMs needs to be improved. All factors examined in this study affected the availability of NRAMs. Our findings can guide policymakers in improving relevant policies.

Greenhouse Gas Emissions and Costs of Inhaler Devices in the US.

This study assesses mean emissions and costs and estimated total yearly emissions and costs for US-branded inhalers prescribed to Medicare Part D and Medicaid beneficiaries.

Predicting pharmaceutical prices. Advances based on purchase-level data and machine learning.

BACKGROUND: Increased costs in the health sector have put considerable strain on the public budgets allocated to pharmaceutical purchases. Faced with such pressures amplified by financial crises and pandemics, national purchasing authorities are presented with a puzzle: how to procure pharmaceuticals of the highest quality for the lowest price. The literature explored a range of impactful factors using data on producer and reference prices, but largely foregone the use of data on individual purchases by diverse public buyers. METHODS: Leveraging the availability of open data in public procurement from official government portals, the article examines the relationship between unit prices and a host of predictors that account for policies that can be amended nationally or locally. The study uses traditional linear regression (OLS) and a machine learning model, random forest, to identify the best models for predicting pharmaceutical unit prices. To explore the association between a wide variety of predictors and unit prices, the study relies on more than 200,000 purchases in more than 800 standardized pharmaceutical product categories from 10 countries and territories. RESULTS: The results show significant price variation of standardized products between and within countries. Although both models present substantial potential for predicting unit prices, the random forest model, which can incorporate non-linear relationships, leads to higher explained variance (R2 = 0.85) and lower prediction error (RMSE = 0.81). CONCLUSIONS: The results demonstrate the potential of i) tapping into large quantities of purchase-level data in the health care sector and ii) using machine learning models for explaining and predicting pharmaceutical prices. The explanatory models identify data-driven policy interventions for decision-makers seeking to improve value for money.

Budget impact analysis of biosimilar natalizumab in the US.

OBJECTIVES: Biosimilars provide an opportunity for a more sustainable and cost-effective treatment for multiple sclerosis (MS). This study evaluated the potential financial impact of implementing a formulary change from reference to biosimilar natalizumab (NTZ) from the US commercial payer perspective. STUDY DESIGN: The budget impact of transitioning to biosimilar NTZ for the treatment of relapsing-remitting MS (RRMS) was estimated over a 3-year time horizon based on real-world dosing. Additional scenario analyses were conducted by varying the price differential of biosimilar NTZ. METHODS: The target population was estimated from a 1-million-member hypothetical commercial health plan. Model inputs were drug acquisition costs and treatment-related and patient coinsurance costs. Budget impact and cost savings per member per year were calculated by assuming a biosimilar uptake of 10% in year 1 to 20% in year 3. RESULTS: Over 3 years, 255 patients were estimated to be treated with high-efficacy disease-modifying therapies for RRMS. The inclusion of biosimilar NTZ onto a formulary would result in cumulative cost savings to payers of $452,611 over 3 years, with mean savings per treated member per year of $1179, $1769, and $2359 in years 1, 2, and 3, respectively. One-way sensitivity analyses indicated that budget impact results were most sensitive to drug acquisition costs of both reference and biosimilar NTZ. CONCLUSION: Adoption of biosimilar NTZ can yield considerable cost savings to US health plans that could result in increased treatment access for patients with RRMS.

Health Care Expenditure in United States Adults With Heart Failure With and Without Diabetes.

The health costs for heart failure (HF) in patients with and without diabetes can help us understand the conjoint burden of diabetes and HF. Using the 2008 to 2019 US national Medical Expenditure Panel Survey data including 2,019 adults with HF and a 2-part adjusted model, we estimated the mean and adjusted incremental direct medical expenditures related to diabetes. The total direct expenditures for patients with HF increased by 27 %: $24,725 (95 % confidence interval [CI] $20,457 to $28,993) in 2008 to 2009 to $31,426 (95 % CI $25,705 to $37,147) in 2018 to 2019. The expenditures increased by 34 % in those with diabetes. Inpatient costs represented the highest fraction of costs ∼43.3 % and were 8 % higher in those with diabetes versus those without diabetes. The drug costs accounted for 24 % of all costs, increased by 44 %, and were 86 % higher in patients with HF with diabetes versus those without diabetes. The adjusted excess costs in patients with HF and diabetes versus HF without diabetes was $6,818 (95 % CI 2,241 to 11,395); the corresponding excess costs for drugs and medical costs other than drugs were $3,297 (95 % CI 2,168 to 4,426) and $3,554 (95 % CI -777 to 7,886). In US adults with HF, the estimated adjusted total direct excess costs were $5.2 billion per year higher in patients with diabetes versus those without diabetes. In conclusion, diabetes is associated with substantially increased health care costs in patients with HF, suggesting the need for an integrated management of diabetes and HF.

Access to essential and innovative anti-cancer medicines: a longitudinal study in Nanjing, China.

PURPOSE: To evaluate the availability, cost, affordability of anti-cancer medicines in Nanjing, Jiangsu. METHODS: A longitudinal tracking investigation study was performed to collect information about 24 essential anti-cancer medicines (EAMs) and 17 innovative anti-cancer medicines (IAMs) in 26 healthcare institutions in Nanjing from 2016 to 2020. The availability, cost, drug utilization and affordability of EAMs and IAMs were investigated. RESULTS: The availability of EAMs showed no significant changes in Nanjing, but the availability of IAMs showed a significant increase in 2018 and 2019 and tended to stabilize in 2020. For EAMs, the DDDc(Defined Daily Dose cost) of LPGs (Lowest-Priced Generics) showed no significant changes, and the DDDc of OBs (Originator Brands) and IAMs significantly decreased. The DDDs(Defined Daily Doses) of EAMs (LPGs) showed a decreasing trend since 2016 and rose again in 2019. Overall, the DDDs of EAMs (LPGs) decreased by 25.18% between 2016 and 2020, but the proportion selected for clinical treatment remained at 67.35% in 2020. The DDDs of EAMs (OBs) and IAMs both showed an increasing trend year by year, with a proportional increase of 207.72% and 652.68%, respectively; but the proportion selected for clinical treatment was only 16.09% and 16.56% respectively in 2020. EAMs (LPGs) had good affordability for urban residents but poor affordability for rural residents; the affordability of EAMs (OBs) and IAMs was poor for both urban and rural residents. CONCLUSIONS: There were no significant changes in the availability and cost of EAMs (LPGs), whose lower prices showed better affordability. Although their relative change in drug utilization showed a decreasing trend, they still dominated clinical treatment. Driven by the national drug price negotiation (NDPN) policy, the availability of IAMs was on the rise. It is necessary to further develop and strengthen policies for essential medicines procurement assessment to improve the accessibility of EAMs.

Patient Out-of-Pocket Costs for Type 2 Diabetes Medications When Aging Into Medicare.

Importance: For people with type 2 diabetes (T2D), out-of-pocket medication costs may influence medication choice, adherence, and overall diabetes management and progression. Little is known about how these costs change as insured people enter Medicare at age 65 years, when coinsurance in the coverage gap and catastrophic phases of Part D coverage can be increased greatly by use of insulin and newer, branded medications (eg, dipeptidyl peptidase 4 inhibitors, glucagon-like peptide 1 agonists, and sodium-glucose cotransporter 2 inhibitors). Objective: To identify whether reaching age 65 years is associated with T2D medication out-of-pocket costs and utilization. Design, Setting, and Participants: This retrospective cohort study (2012-2020) featuring 7 years of follow-up used prescription drug claims data from the TriNetX Diamond Network. Participants included people in the US with diagnosed T2D, and claims for T2D medications were observed both before and after age 65 years. Data analysis was performed from October 2022 to September 2023. Exposure: Reaching age 65 years, according to participants' year of birth. Main Outcomes and Measures: The primary outcome was patient out-of-pocket costs for T2D drugs per quarter (inflation adjusted to 2020 dollars). Utilization, measured as binary utilization of specific classes, and the number of claims for mutually exclusive classes and combinations of classes were also examined. All outcomes were examined using regression discontinuity design. Results: In claims data for 129 997 individuals with T2D diagnosed at ages 58 to 72 years (mean [SD] age, 65.50 [2.95] years; 801 235 female [50.9%]), reaching age 65 years was associated with an increase of $23.04 (95% CI, $19.86-$26.22) in mean quarterly out-of-pocket costs for T2D drugs, and an increase of $56.36 (95% CI, $51.48-$61.23) at the 95th percentile of spending, after utilization adjustment. Utilization decreased by 5.3% at age 65 years, from 3.40 claims per quarter (95% CI, 3.38-3.42 claims per quarter) to 3.22 claims per quarter (95% CI, 3.21-3.24 claims per quarter), but a shift in composition of utilization, including increased insulin use, was associated with additional increases in patient costs. Conclusions and Relevance: In this cohort study of individuals with T2D, the increase in spending upon reaching age 65 years (when most people enroll in Medicare) was associated with patient coinsurance in the coverage gap and catastrophic coverage phases of Medicare Part D. The increased patient cost burden at age 65 years and a modest reduction in overall T2D drug utilization suggest that as people with T2D age into Medicare, there is potentially an increase in nonadherence and diabetes complications.

The influence of the national drug price negotiation policy reform on the medical expenses of patients in Xuzhou City: an interrupted time series analysis.

Background: To reduce the burden of patients' medical care, the Xuzhou Municipal Government has initiated an exploratory study on the supply model and categorized management of nationally negotiated drugs. This study aims to understand the extent to which Xuzhou's 2021 reform of the National Drug Price Negotiation (NDPN) policy has had a positive impact on the healthcare costs of individuals with different types of health insurance. Methods: The Interrupted Time Series Analysis method was adopted, and the changes in average medical expenses per patient, average medical insurance payment cost per patient and actual reimbursement ratio were investigated by using the data of single-drug payments in Xuzhou from October 2020 to October 2022. Results: Following the implementation of the policy, there was a significant decrease in the average medical expenses per patient of national drug negotiation in Xuzhou, with a reduction of 62.42 yuan per month (p < 0.001). Additionally, the average medical insurance payment cost per patient decreased by 44.13 yuan per month (p = 0.01). Furthermore, the average medical expenses per patient of urban and rural medical insurance participants decreased by 63.45 yuan (p < 0.001), and the average monthly medical insurance payment cost per patient decreased by 57.56 yuan (p < 0.04). However, the mean total medical expenditures for individuals enrolled in employee medical insurance decreased by 63.41 yuan per month (p < 0.001), whereas the monthly decrease was 22.11 yuan per month (p = 0.21). On the other hand, there was no discernible change in the actual reimbursement ratio. Conclusion: After the adoption of the NDPN policy, a noticeable decline has been observed in the average medical expenses per patient and the mean cost of the average medical insurance payment per patient, although to a limited extent. Notably, the reduction in employee medical insurance surpasses that of urban and rural medical insurance.

[Judicialization of high priced medications in Argentina: quali-quantitative study]. / Judicialización de medicamentos de alto precio en Argentina: estudio cuali-cuantitativo.

INTRODUCTION: The economic consequences of mandatory coverage, through judicial means, of high-priced medications constitutes a growing problem, which merits knowing its local characteristics to provide possible solutions. OBJECTIVE: To identify medications, diseases involved, economic impact and contextual factors of the judicialization of high-priced medications in the Argentine Health System(MEP). METHODS: Quali-quantitative descriptive study that retrospectively analyzed legal protection resources by MEP from three national and provincial databases from January 2017 to December 2020, evaluating the existing relationship between lawsuits with regulatory approval, inclusion in benefit packages and relationship with journalistic articles for the three most frequently prosecuted drugs. RESULTS: 405 lawsuits were included, mainly from the Ministry of National Health. The three most prosecuted medications were nusinersen (21.7%), palbociclib (5.9%) and agalsidase-alfa (4.7%). Only 69.4% of medications were approved for marketing in Argentina at the time of the protection; 45.7% were incorporated into the Single Reimbursement System, and 16.8% had a report from the National Commission for the Evaluation of Health Technologies and Clinical Excellence (CONETEC), which was negative in 87.1% of cases. The average time from request to provision of the medication was 150 days. A temporal correlation was observed between the appearance of the MEP in the national graphic press and the appeals occurrence. CONCLUSIONS: Judicialization focused on very highpriced medications for rare or oncological diseases. The rulings were mostly in favor of the plaintiff, and access times to the medication took a long time. The mass media anticipated the judicial processes.

Introducción: Las consecuencias económicas de la cobertura obligatoria, vía judicial, de medicamentos de alto precio constituye un problema creciente, que amerita conocer sus características locales para aportar posibles soluciones. OBJETIVO: Identificar medicamentos, enfermedades, impacto económico y factores contextuales de la judicialización de medicamentos de alto precio (MEP) Argentina. Métodos: Estudio descriptivo cuali-cuantitativo que analizó retrospectivamente recursos de amparos legales por MEP de tres bases de datos nacionales y provinciales durante 4 años, evaluando relación existente entre amparos con aprobación regulatoria, inclusión de los MEP al paquete de beneficios y relación con notas periodísticas. RESULTADOS: Se incluyeron 405 amparos provenientes principalmente del Ministerio de Salud Nacional. Los tres medicamentos más judicializados fueron nusinersen (21.7%), palbociclib (5.9%) y agalsidasa-alfa (4.7%). Solo el 69.4% de los medicamentos se encontraban aprobados para la comercialización en Argentina al momento del amparo; el 45.7% se encontraban incorporados al Sistema Único de Reintegros y el 16.8% contaban con informe de la Comisión Nacional de Evaluación de Tecnologías Sanitarias y Excelencia Clínica (CONETEC), negativa en el 87.1% de casos. El tiempo promedio desde la solicitud hasta la provisión del medicamento fue de 150 días. Se observó una correlación temporal entre la aparición del MEP en la prensa nacional gráfica y la presentación de amparos de dicho MEP. CONCLUSIONES: La judicialización se concentró en medicamentos de altísimo precio para enfermedades poco frecuentes u oncológicas. Los fallos fueron mayoritariamente a favor del demandante, siendo los tiempos de acceso al medicamento prolongados. Los medios de comunicación anticiparon los procesos judiciales.

Costs of Drug Development and Research and Development Intensity in the US, 2000-2018.

Importance: Understanding the cost of drug development can help inform the development of policies to reduce costs, encourage innovation, and improve patient access to drugs. Objective: To estimate the cost of drug development by therapeutic class and trends in pharmaceutical research and development (R&D) intensity over time. Design, Setting, and Participants: In this economic evaluation study, an analytical model of drug development constructed using public and proprietary sources that collectively cover data from 2000 to 2018 was used to estimate the cost of bringing a drug to market, overall and for specific therapeutic classes. The analysis for the study was completed in October 2020. Main Outcomes and Measures: Three measures of development cost from nonclinical through postmarketing stages were estimated: mean out-of-pocket cost or cash outlay, mean expected cost, and mean expected capitalized cost. Pharmaceutical R&D intensity, defined as the ratio of R&D spending to total sales, from 2008 to 2019, based on the time frame for available data, was also analyzed. Results: The estimated mean cost of developing a new drug was approximately $172.7 million (2018 dollars) (range, $72.5 million for genitourinary to $297.2 million for pain and anesthesia), inclusive of postmarketing studies. The cost increased to $515.8 million when cost of failures was included. When the costs of failures and capital were included, the mean expected capitalized cost of drug development increased to $879.3 million (range, $378.7 million for anti-infectives to $1756.2 million for pain and anesthesia); results varied widely by therapeutic class. The pharmaceutical industry as a whole experienced a decline of 15.6% in sales but increased R&D intensity from 11.9% to 17.7% from 2008 to 2019. By contrast, R&D intensity of large pharmaceutical companies increased from 16.6% to 19.3%, whereas sales increased by 10.0% (from $380.0 to $418.0 billion) over the same 2008 to 2019 period, even though the cost of drug development remained relatively stable or may have even decreased. Conclusions and Relevance: In this economic evaluation of new drug development costs, even though the cost of drug development appears to have remained stable, R&D intensity of large pharmaceutical companies remained relatively unchanged, despite substantial growth in revenues during this period. These findings can inform the design of drug-related policies and their potential impacts on innovation and competition.

Comparison Between Sotorasib with Docetaxel for the Treatment of Chinese Patients with Previously Treated NSCLC with KRASG12C Mutation: A Cost-Effectiveness Analysis to Inform Drug Pricing.

INTRODUCTION: This study sought to investigate the affordable price of sotorasib among patients with previously treated advanced KRASG12C-mutant non-small cell lung cancer (NSCLC) through a cost-effectiveness analysis from the perspectives of both the Chinese healthcare system and the patients. METHODS: We developed a Markov model spanning a 20-year time horizon with a cycle length of 21 days. Our data were derived from the CodeBreaK 200 clinical trial, supplemented with published literature, publicly available national databases, and local hospitals. The primary outcomes were the affordable prices of sotorasib which would result in the incremental cost-effectiveness ratios (ICERs) of sotorasib relative to docetaxel below the preset willing-to-pay (WTP) threshold. Sensitivity analyses were performed to evaluate the model's robustness. RESULTS: At the national level, from the perspective of the Chinese healthcare system and patients, the price of sotorasib should be lower than US$0.04673 and $0.03231, respectively, to make it affordable, which is equivalent to $1346 and $931 per box (120 mg × 240 pieces). At the provincial level, the price ceiling of sotorasib/mg fluctuated between $0.04084 to $0.08061 from the Chinese healthcare system's perspective and between $0.02642 to $0.06620 from the patients' perspective. Probabilistic sensitivity analyses revealed that, as the price of sotorasib decreased, its likelihood of being cost-effective increased. CONCLUSION: Sotorasib might be a cost-effective therapy in China. The pharmaco-economic evidence generated from this study has significant implications not only for guiding the drug pricing of the upcoming sotorasib but also for determining the reimbursement ratio for its potential inclusion in the National Reimbursement Drugs List in the future.

Consequences of cost barriers to prescriptions: cohort study in Aotearoa New Zealand.

AIMS: A NZ$5 co-payment prescription charge was removed in July 2023 but may be reinstated. Here we quantify the health impact and cost of not being able to afford this charge. METHODS: We linked New Zealand Health Surveys (2013/2014-2018/2019) to hospitalisation data using data available in Integrated Data Infrastructure (IDI). Cox proportional-hazards models compared time to hospitalisation between those who had faced a cost barrier to collecting a prescription and those who had not. RESULTS: Of the 81,626 total survey respondents, 72,243 were available for analysis in IDI. A further 516 were excluded to give an analysis dataset of 71,502. Of these, 5,889 (8.2%) reported not collecting a prescription due to cost in the previous year. Among people who faced a cost barrier, 60.0% (95% confidence interval [CI] 58.7-61.2%) were admitted to hospital during the study period, compared to 43.9% (95% CI 43.6-44.3%) of those who did not. Having adjusted for socio-demographic variables, people who faced a cost barrier were 34% (hazard ratio 1.34; 95% CI 1.29-1.39) more likely to be admitted to hospital than those who did not. Annual avoidable hospitalisation costs-were prescription co-payments to remain free-are estimated at $32.4 million per year based on the assumption of a causal relationship between unmet need for prescription medicines and subsequent hospitalisation. CONCLUSIONS: The revenue to the health system from co-payments may be offset by the costs associated with avoidable hospitalisations.