High-risk pooling for mitigating risk selection incentives in health insurance markets with sophisticated risk equalization: an application based on health survey information.

BACKGROUND: Despite sophisticated risk equalization, insurers in regulated health insurance markets still face incentives to attract healthy people and avoid the chronically ill because of predictable differences in profitability between these groups. The traditional approach to mitigate such incentives for risk selection is to improve the risk-equalization model by adding or refining risk adjusters. However, not all potential risk adjusters are appropriate. One example are risk adjusters based on health survey information. Despite its predictiveness of future healthcare spending, such information is generally considered inappropriate for risk equalization, due to feasibility challenges and a potential lack of representativeness. METHODS: We study the effects of high-risk pooling (HRP) as a strategy for mitigating risk selection incentives in the presence of sophisticated- though imperfect- risk equalization. We simulate a HRP modality in which insurers can ex-ante assign predictably unprofitable individuals to a 'high risk pool' using information from a health survey. We evaluate the effect of five alternative pool sizes based on predicted residual spending post risk equalization on insurers' incentives for risk selection and cost control, and compare this to the situation without HRP. RESULTS: The results show that HRP based on health survey information can substantially reduce risk selection incentives. For example, eliminating the undercompensation for the top-1% with the highest predicted residual spending reduces selection incentives against the total group with a chronic disease (60% of the population) by approximately 25%. Overall, the selection incentives gradually decrease with a larger pool size. The largest marginal reduction is found moving from no high-risk pool to HRP for the top 1% individuals with the highest predicted residual spending. CONCLUSION: Our main conclusion is that HRP has the potential to considerably reduce remaining risk selection incentives at the expense of a relatively small reduction of incentives for cost control. The extent to which this can be achieved, however, depends on the design of the high-risk pool.

Carbon reduction and cost control of container shipping in response to the European Union Emission Trading System.

In response to the EU ETS, we propose a cost model considering carbon emissions for container shipping, calculating fuel consumption, carbon emissions, EUA cost, and total cost of container shipping. We take a container ship operating on a route from the Far East to Northwest Europe as a case study. Environmental and economic impacts of including maritime transport activities in the EU ETS on container shipping are assessed. Results show that carbon emissions from the selected container ship using methanol are the smallest, and total cost of the selected container ship using methanol is the lowest. Among MGO, HFO, LNG, and methanol, methanol is the most environmentally and cost-effective option. Using LNG has greater environmental benefit, while using HFO has greater economic benefit. Compared to MGO, carbon reduction effects of LNG and methanol are 14.2% and 57.1%, and their cost control effects are 7.8% and 26.5%. Compared to HFO, carbon reduction effects of LNG and methanol are 11.7% and 55.8%, and the cost control effect of methanol is 9.3%. Speed reduction is effective in achieving carbon reduction and cost control of container shipping only when the sailing speed of the selected container ship is greater than 8.36 knots. Once the sailing speed is less than this threshold, speed reduction will increase carbon emissions and total cost of container shipping. This model can assess the environmental and economic impacts of including maritime transport activities in the EU ETS on container shipping and explore the measures to achieve carbon reduction and cost control of container shipping in response to the EU ETS.

Applying a cost-based pricing model for innovative cancer treatments subject to indication expansion: A case study for pembrolizumab and daratumumab.

BACKGROUND: Expanding the indication of already approved immuno-oncology drugs presents treatment opportunities for patients but also strains healthcare systems. Cost-based pricing models are discussed as a possibility for cost containment. This study focuses on two drugs, pembrolizumab (Keytruda) and daratumumab (Darzalex), to explore the potential effect of indication broadening on the estimated price when using the cost-based pricing (CBP) model proposed by Uyl-de Groot and Löwenberg (2018). METHODS: The model was used to calculate cumulative yearly prices, cumulative prices per indication, and non-cumulative indication-based prices using inputs such as research and development (R&D) costs, manufacturing costs, eligible patient population, and a profit margin. A deterministic stepwise analysis and scenario analysis were conducted to examine how sensitive the estimated price is to the different input assumptions. RESULTS: The yearly cumulative cost-based prices (CBPs) ranged from €52 to €885 for pembrolizumab per vial and €823 to €31,941 for daratumumab per vial. Prices were higher in initial years or indications due to smaller patient populations, decreased over time or after additional indications. Sensitivity analysis showed that the number of eligible patients had the most significant impact on the estimated price. In the scenario analysis the profit margin contributed most to a higher CBPs for both drugs. Lower estimates resulted from assumed lower R&D costs. DISCUSSION: The estimated CBPs are consistently lower than Dutch list prices for pembrolizumab (€2,861), mainly resulting from larger patient populations in registered indications. However, daratumumab's list prices fall within the range of modeled CBPs depending on the year or indication (€4,766). Both CBPs decrease over time or with additional indications. The number of eligible patients and initial R&D costs have the most significant influence on the CBPs. These findings contribute to the ongoing discussions on pharmaceutical pricing, especially concerning cancer drugs with expanding indications.

What are the Changes in 2023 for Access to Advanced Therapy Medicinal Products (ATMPs) in France?

ATMPs are the most expensive innovative treatments, thus they require special regulation. Past regulatory measures in France, such as limiting the growth of drug expenditures, the creation of a fund to finance pharmaceutical innovation, the use of performance-based contracts and greater emphasis on medico-economic evaluations in pricing have been contributing to having both universal access to innovative therapies and fair remuneration for innovation. The importance of transparency, public participation in healthcare evaluation, and the challenges of setting drug prices based on their value are not negligible either. Although further negotiations are still necessary to ensure equitable access to medicines and control rising healthcare costs, France has made pioneering steps recently which would be worthy to follow for other states. The Social Security Financing Act for 2023 introduces measures to control face prices, offers a new funding model, and encourages manufacturers to submit reimbursement claims for the full scope of marketing authorizations.

Analysis of optimal control strategies on the fungal Tinea capitis infection fractional order model with cost-effective analysis.

In this study, we have formulated and analyzed the Tinea capitis infection Caputo fractional order model by implementing three time-dependent control measures. In the qualitative analysis part, we investigated the following: by using the well-known Picard-Lindelöf criteria we have proved the model solutions' existence and uniqueness, using the next generation matrix approach we calculated the model basic reproduction number, we computed the model equilibrium points and investigated their stabilities, using the three time-dependent control variables (prevention measure, non-inflammatory infection treatment measure, and inflammatory infection treatment measure) and from the formulated fractional order model we re-formulated the fractional order optimal control problem. The necessary optimality conditions for the Tinea capitis fractional order optimal control problem and the existence of optimal control strategies are derived and presented by using Pontryagin's Maximum Principle. Also, the study carried out the sensitivity and numerical analysis to investigate the most sensitive parameters and to verify the qualitative analysis results. Finally, we performed the cost-effective analysis to investigate the most cost-effective measures from the possible proposed control measures, and from the findings we can suggest that implementing prevention measures only is the most cost-effective control measure that stakeholders should consider.

The Reality of Cost Sharing in Japan.

Financial pressure on younger generation is mounting in Japan, a super-ageing society with staggering economy. The revision on the co-insurance rate for 70-74 with "Standard" category was implemented to mitigate such pressure, seeking better balance across generations in sharing the burden of healthcare cost. It raised the rate from 10% to 20% over the period of five years from 2014 to 2018. This report examined how it changed the share of cost sharing (cost sharing as percentage to total healthcare expenditure), among the 70-74 with "Standard" category in Citizens Health Insurance programme in 44 prefectures. It specifically focused on change in the population's actual share of cost sharing (ASCS) that better reflect the genuine amount of payment actually made by the patients themselves. The average ASCS increased from 7.28% (2013) to 10.78% (2019), resulting wider gap from the statutory planned share of cost sharing (i.e., the statutory co-insurance rate of 10% in 2013, and 20% in 2019). Also found was increased variance among prefectural ASCS, which may suggest a possibility of un-designed effect by the revision, of encouraging a move towards ability and willingness to pay. In terms of cost containment effect, Japan needs to consider various non-conventional options, including review of the current use of healthcare resources. First and foremost, however, the true state of cost sharing should be recognized in terms of ASCS and shared more widely as a reality. Such effort is essential in discussion of how to keep embracing the country's life line, UHC.

[Research on Cost Control and Rationalization Application Supervision of Medical Equipment Consumables Based on Analytic Hierarchy Process].

OBJECTIVE: To analyze the medical equipment operation data of 44 clinical departments in the hospital from three aspects: materials and consumables, operation and maintenance depreciation, and operation management. METHODS: To formulate the evaluation standards and scoring criteria for the operation indicators, the lowest score is 0 points, and the highest score is 5 points. Based on the operation indicators of medical equipment, establish a hierarchical structure model, determine the criterion layer and sub-criteria layer, construct a judgment matrix, normalize it, and calculate the weight coefficient. RESULTS: Count equipment operation data in 2021 and 2022. Score according to the assessment standards, assign weights through the analytic hierarchy process, calculate the total score and sort, and making a special analysis on the top 10 departments and departments with a score below 4 points, and formulate a rectification plan. CONCLUSIONS: The establishment of index assessment standards and the weight distribution of AHP can effectively enhance the control of equipment operating costs.

Impacto sanitario económico de dos modelos de provisión de prótesis desde un sistema público de salud / Financial and health impact of two models of providing prostheses in a public health system

[RESUMEN]. Objetivo. Comparar los resultados sanitarios y económicos de dos sistemas de adquisición de prótesis: un sistema tradicional en el cual la compra se inicia al solicitar el insumo versus un modelo de insumos en existencia denominado Banco de Prótesis. Métodos. Estudio descriptivo-analítico, en usuarios del Ministerio de Salud de la provincia de Buenos Aires, Argentina. Los pacientes pertenecían a dos grupos de estudio 1) prótesis provistas por vía tradicional del Sistema Informático para Adquisición y Contrataciones Hospitalarias (SIPACH); 2) prótesis provistas por Banco de Prótesis (BDP). Se limitó el análisis a prótesis endovasculares del tipo stent coronario y prótesis de cadera. Se utilizaron bases de datos oficiales gubernamentales. El periodo de estudio comprendió del 01/01/2018 hasta el 31/10/2022. Las variables analizadas fueron: edad, sexo, diagnóstico, hospital, tipo de implante o prótesis; fecha solicitud; fecha adquisición; precio unitario, costos directos e indirectos; costos promedio de la internación diaria, costo-efectividad e impacto presupuestario. Resultados. Se analizaron 4 106 solicitudes. En el sistema tradicional, 13,5% de los pacientes no consiguieron sus prótesis, hubo 50 días más de demora que con BDP, y los costos totales fueron superiores en SIPACH (stent coronarios +463%, prótesis de cadera +133%). El BDP ahorró US$ 3,2 millones anuales y evitó 22 muertes con la provisión temprana de prótesis endovasculares. Conclusiones. El BDP demostró superioridad al modelo tradicional de provisión de prótesis tanto en términos sanitarios, por lograr mayor acceso, acortar tiempos de espera y evitar muertes; como económicos, por reducir significativamente los precios unitarios y globales, logrando un notable ahorro en los presupuestos asignados.

[ABSTRACT]. Objective. Compare the health outcomes and financial outcomes of two systems for the procurement of prostheses: the traditional system, in which procurement is initiated when a product is requested; and the "Prosthesis Bank" model, based on a current inventory of supplies. Methods. Descriptive-analytical study of users of Ministry of Health services in the province of Buenos Aires, Argentina. The patients belonged to two study groups: 1) prostheses were provided through the traditional computerized system for hospital procurement and contracting, known as SIPACH; and 2) prostheses were provided by the Prosthesis Bank. The study was limited to endovascular prostheses (coronary stents) and hip prostheses. Official government databases were used. The study period was from 01/01/2018 to 31/10/2022. The variables analyzed were: age, sex, diagnosis, hospital, type of implant or prosthesis, date of request, date received, unit price, direct and indirect costs, average cost of daily hospitalization, cost-effectiveness, and budgetary impact. Results. A total of 4 106 applications were analyzed. In the traditional system: 13.5% of patients did not get their prostheses; it took 50 days longer than with the Prosthesis Bank; and total costs were higher in SIPACH (coronary stent, +463%; hip prosthesis, +133%). The Prosthesis Bank saved USD 3.2 million annually and prevented 22 deaths through early provision of endovascular prostheses. Conclusions. The Prosthesis Bank proved to be superior to the traditional model for providing prostheses, both in terms of health—by achieving better access, shortening waiting times, and avoiding deaths—and financially— by significantly reducing unit and overall prices, achieving significant savings in allocated budgets.

[RESUMO]. Objetivo. Comparar os resultados econômicos e sanitários de dois sistemas de aquisição de próteses: um sistema tradicional, no qual a compra é iniciada mediante solicitação, e um modelo em estoque chamado Banco de Próteses (BDP). Métodos. Estudo descritivo-analítico com usuários do Ministério da Saúde da província de Buenos Aires, Argentina. Os pacientes pertenciam a dois grupos de estudo: 1) próteses fornecidas pelo método tradicional do Sistema Informatizado de Aquisição e Contratações Hospitalares (SIPACH); e 2) próteses fornecidas pelo BDP. A análise se restringiu a próteses endovasculares do tipo stent coronariano e próteses de quadril. Foram utilizados bases de dados oficiais do governo. O período do estudo foi de 01/01/2018 a 31/10/2022. As variáveis analisadas foram: idade, sexo, diagnóstico, hospital, tipo de implante ou prótese; data de solicitação; data de aquisição; preço unitário, custos diretos e indiretos; custo médio diário de internação, relação custo-efetividade e impacto orçamentário. Resultados. Foram analisadas 4 106 solicitações. No sistema tradicional, 13,5% dos pacientes não recebe- ram as próteses e houve 50 dias a mais de espera do que pelo BDP. Além disso, os custos totais foram maiores no SIPACH (+463% no caso dos stents coronários e +133% para as próteses de quadril). O BDP economizou US$ 3,2 milhões ao ano e evitou 22 mortes com o fornecimento precoce de próteses endovasculares. Conclusões. O BDP demonstrou superioridade em relação ao modelo tradicional de fornecimento de próteses, tanto em termos sanitários, ao oferecer maior acesso, diminuir o tempo de espera e evitar mortes, quanto em termos econômicos, ao reduzir significativamente os preços unitários e totais, gerando economias significativas nos orçamentos alocados.

Health System Perspective on Cost for Delivering a Decision Aid for Prostate Cancer Using Time-driven Activity-based Costing.

BACKGROUND: Previsit decision aids (DAs) have promising outcomes in improving decisional quality, however, the cost to deploy a DA is not well defined, presenting a possible barrier to health system adoption. OBJECTIVES: We aimed to define the cost from a health system perspective of delivery of a DA. RESEARCH DESIGN: Observational cohort. PATIENTS AND METHODS: We interviewed or observed relevant personnel at 3 institutions with implemented DA distribution programs targeting men with prostate cancer. We then created process maps for DA delivery based on interview data. Cost determination was performed utilizing time-driven activity-based costing. Clinic visit length was measured on a subset of patients. Decisional quality measures were collected after the clinic visit. RESULTS: Total process time (minutes) for DA delivery was 10.14 (UCLA), 68 (Olive View-UCLA), and 25 (Vanderbilt). Total average costs (USD) per patient were $38.32 (UCLA), $59.96 (Olive View-UCLA), and $42.38 (Vanderbilt), respectively. Labor costs were the largest contributors to the cost of DA delivery. Variance analyses confirmed the cost efficiency of electronic health record (EHR) integration. We noted a shortening of clinic visit length when the DA was used, with high levels of decision quality. CONCLUSIONS: Time-driven activity-based costing is an effective approach to determining true inclusive costs of service delivery while also elucidating opportunities for cost containment. The absolute cost of delivering a DA to men with prostate cancer in various settings is much lower than the system costs of the treatments they consider. EHR integration streamlines DA delivery efficiency and results in substantial cost savings.

A new method for safety helmet detection based on convolutional neural network.

Considering practical issues such as cost control of hardware facilities in engineering projects, it is a challenge to design a robust safety helmet detection method, which can be implemented on mobile or embedded devices with limited computing power. This paper presents an approach to optimize the BottleneckCSP structure in the YOLOv5 backbone network, which can greatly reduce the complexity of the model without changing the size of the network input and output. To eliminate the information loss caused by upsampling and enhance the semantic information of the feature map on the reverse path, this paper designs an upsampling feature enhancement module. Besides, To avoid the negative impact of redundant information generated by feature fusion on the detection results, this paper introduces a self-attention mechanism. That is, using the designed channel attention module and location attention module, adjacent shallow feature maps and upsampled feature maps are adaptively fused to generate new feature maps with strong semantics and precise location information. Compared with the existing methods with the fastest inference speed, under the same compute capability, the proposed method not only has faster inference speed, the FPS can reach 416, but also has better performance with mAP of 94.2%.

Exploring the impact of clawback on pharmaceutical expenditure: A case study of public hospitals in Greece.

Several European administrations have applied various mechanisms promoting cost containment to stabilise their budgets for pharmaceutical expenditure. Since 2016, Greece has adopted the clawback as a policy to contain the NHS hospitals' pharmaceutical expenditure, which increased significantly in the 2016-2020 period. The present study reviews the impact of this policy on the operation of NHS hospitals, the uninterrupted supply and rational use of their medicines, along with the sustainability of their finances. The trend of pharmaceutical expenditure for the period 2016-2020 is combined with further analysis of detailed drug consumption data of 15 sampled NHS hospitals. The data is classified by Anatomical Therapeutic Category (ATC) and the percentage of clawback distributed to each ATC and pharmaceutical company is calculated. It was found that a large proportion of the clawback is allocated to a few therapeutic categories (ATCs) and consequently, few pharmaceutical companies are particularly burdened. The increased burden on pharmaceutical companies, due to the continuous increase in the excessive pharmaceutical expenditure of the NHS hospitals and their limited budget, endangers the uninterrupted supply of medicines to hospitals and the viability of pharmaceutical companies. This issue was discussed in a scientific consensus group*, in which participants proposed ways to keep the level of pharmaceutical expenditure in line with patients' needs, the country's economic potential, and the sustainability of pharmaceutical companies.

Implant Selection Strategies for Total Joint Arthroplasty: The Effects on Cost Containment and Physician Autonomy.

BACKGROUND: With continued declines in reimbursement for total joint arthroplasty, health systems have explored implant cost containment measures to generate sustainable margins. This review evaluated how implementation of (1) implant price control programs, (2) vendor purchasing agreements, and (3) bundled payment models affected implant costs and physician autonomy in implant selection. METHODS: PubMed, EBSCOhost, and Google Scholar were searched to identify studies that evaluated the efficacy of total hip or total knee arthroplasty implant selection strategies. The review included publications between January 1, 2002, and October 17, 2022. The mean Methodological Index for Nonrandomized Studies score was 18.3 ± 1.8. RESULTS: A total of 13 studies (32,197 patients) were included. All studies implementing implant price capitation programs found decreased implant costs, ranging 2.2 to 26.1% and increased utilization of premium implants. Most studies found bundled payments models reduced total joint arthroplasty implant costs with greatest reduction being 28.9%. Additionally, while absolute single vendor agreements had higher implant costs, preferred single vendor agreements had reduced implant costs. When given price constraints, surgeons tended to select more premium implants. CONCLUSION: Alternative payment models that incorporated implant selection strategies saw reduced costs and surgeon utilization of premium implants. The study findings encourage further research on implant selection strategies, which must balance the goals of cost containment with physician autonomy and optimized patient care. LEVEL OF EVIDENCE: Level III.

339ª Reunião do Conselho Nacional de Saúde - 15 feb. 2023

338ª Reunião Ordinária - 26 jan. 2023

Na parte da manhã. das 9h às 12h30, na Sala João Neves da Fontoura (Plenarinho) - Assembleia Legislativa do Estado do Rio Grande do Sul, Praça Marechal Deodoro, nº 101, Centro Histórico - Porto Alegre/RS. E no período da tarde, no 26 de janeiro de 2023, das 13h30 às 15h30, no Teatro Dante Barone - Assembleia Legislativa do Estado do Rio Grande do Sul, Praça Marechal Deodoro, nº 101, Centro Histórico - Porto Alegre/RS

331ª Reunião Ordinária do Conselho Nacional de Saúde - 30 jun. 2022

342º Reunião Ordinária do Conselho Nacional de Saúde - 11 maio 2023