Impacto orçamentário da incorporação do rituximabe para o tratamento de leucemia linfocítica crônica no SUS / Budget impact of the incorporation of rituximab for the treatment of chronic lymphocytic leukemia in Brazil

Objetivo: O presente estudo objetiva desenvolver um modelo de análise de impacto orçamentário (AIO) relacionada à incorporação do rituximabe no tratamento de primeira linha da leucemia linfocítica crônica (LLC) no Sistema Único de Saúde (SUS). Métodos: A elaboração da AIO foi realizada de acordo com as recomendações metodológicas das diretrizes brasileiras, considerando a perspectiva do SUS, horizonte temporal de cinco anos, população a ser tratada, diferentes cenários de market share do rituximabe e custos diretos envolvidos no tratamento atual e no tratamento proposto, e também foi executada uma análise de sensibilidade para avaliar possíveis incertezas futuras. Resultados: A cada ano e ao final do horizonte temporal de cinco anos, a incorporação do rituximabe promoverá aumento dos custos, quando comparado com o valor de ressarcimento do SUS para o tratamento de primeira linha da LLC. No cenário de maior participação de mercado do rituximabe, os custos totais foram menores em relação ao cenário de menor market share. Dado que a estimativa da AIO é para gastos futuros, incertezas relacionadas como a possível elevação do custo do medicamento foi o fator que promoveu o cenário de maiores gastos. Conclusões: A projeção de custos estimados pela AIO demonstrou menores gastos financeiros no cenário de maior difusão do medicamento, o que pode ter correlação com o atraso da progressão da doença ao utilizar o rituximabe, e consequentemente menos pacientes irão requerer segunda linha de tratamento, que tem custo mais elevado.

Objective: This study aims to develop a budget impact analysis (BIA) model related to the incorporation of rituximab in the first-line treatment of chronic lymphocytic leukemia (CLL) in the Unified Health System (SUS). Methods: The preparation of the BIA was carried out in accordance with the methodological recommendations of the Brazilian guidelines, considering the perspective of the SUS, a time horizon of five years, population to be treated, different market share scenarios for rituximab and direct costs involved in the current treatment and treatment proposed, a sensitivity analysis was also performed to assess possible future uncertainties. Results: Each year and at the end of the five-year time horizon, the incorporation of rituximab will increase costs, when compared to the SUS reimbursement value for the first-line treatment of CLL. In the scenario of higher market share for rituximab, total costs were lower compared to the scenario of lower market share. Given that the BIA estimate is for future expenses, uncertainties related to the possible increase in the cost of the drug were the factor that promoted the scenario of higher expenses. Conclusions: The projection of costs estimated by the BIA showed lower financial expenses in the scenario of greater diffusion of the drug, which may be correlated with the delay in the progression of the disease when using rituximab and, consequently, fewer patients will require second-line treatment, which has a higher cost.

Análise de impacto orçamentário dos inibidores de PARP no tratamento de manutenção em primeira linha de pacientes com câncer de ovário avançado, gBRCA mutado, sob a perspectiva do sistema de saúde suplementar brasileiro / Budget impact analysis of PARP inhibitors in the first line maintenance treatment of patients with advanced, gBRCA mutated, ovarian cancer, from the perspective of the Brazilian supplementary health system

Objetivo: O presente artigo visa disponibilizar aos gestores da saúde dados sobre o impacto orçamentário da incorporação dos inibidores de PARP (iPARPs) para o tratamento de primeira linha de manutenção de câncer de ovário avançado, gBRCA mutado, sob a perspectiva do sistema de saúde suplementar. Métodos: Adotou-se o método epidemiológico, tendo como comparador a vigilância ativa em um horizonte temporal de cinco anos. Foram considerados apenas os custos de tratamento medicamentoso na análise, utilizando o pressuposto conservador de que os custos da vigilância ativa são nulos. Além disso, construiu-se uma análise de sensibilidade determinística. Resultados: O impacto orçamentário dos iPARPs na população-alvo em todo o sistema foi de R$ 78,1 milhões em cinco anos acumulados. A análise de sensibilidade apontou que o resultado doimpacto orçamentário varia de R$ 54,6 milhões a R$ 101,6 milhões. A taxa de difusão da tecnologia e os parâmetros epidemiológicos foram os que exerceram a maior influência na variabilidade dos resultados. Conclusão: Os dados sugerem que a incorporação dos iPARPs na população selecionada gera um impacto orçamentário gerenciável.

Objective: The objective was to calculate the budget impact of PARP inhibitors (iPARPs) incorporation for the first-line maintenance treatment of advanced mutated gBRCA ovarian cancer from the perspective of the supplementary health system. Methods: We adopted the epidemiological method, with active surveillance as the comparator in a time horizon of five years. We considered only drug treatment's cost, using a conservative approach in which the costs with active surveillance are null. In addition, we developed a deterministic sensitivity analysis. Results: The budget impact of iPARPs on the target population was R$ 78.1 million in five years. The sensitivity analysis showed that the result of the budget impact ranges from R$ 54.6 million to R$ 101.6 million. The market share evolution and the epidemiological parameters had the highest impact on the result's variability. Conclusion: These data suggest that the incorporation of iPARPs in the selected population generates a manageable budget impact

Discussion on calculation methods of drug market share in budget impact analysis / 中国药房

OBJECTIV E To investigate the calculation method of drug market share in budget impact analysis （BIA）in order to provide new ideas for BIA research. METHODS In view of the situation that some drugs had multiple indications or the indications in the drug instructions were not clear enough and inconsistent with the indications in the reimbursement catalogue ， starting from the concept of “times per person ”，the parameters such as sample hospital and average treatment time per person for each time were introduced to develop a new market share calculation method. At the same time ，the calculation process was demonstrated by taking the treatment drugs for liver cirrhosis as an example. RESULTS & CONCLUSIONS Taking treatment drugs of liver cirrhosis as an example ，the calculation results of market share showed that the results of the two calculation methods were quite different. The market share calculated on the basis of “the number of people ”was mostly higher than that calculated on the basis of “times per person ”. Compared with the traditional calculation method based on “the number of people ”，the calculation method of market share based on “times per person ”could calculate the market share more accurately ，which could solve the problem that the traditional method didn ’t fully consider that most drugs had multiple indications ，the indications of drug instructions were not clear enough and inconsistent with the reimbursement catalogue ，resulting in inaccurate calculation of market share；at the same time ，this method could also be used to try to solve the problem that the total number of patients could not be obtained from epidemiological data based on the average treatment time per person of each time in the sample hospital. This method can be considered when the indications of the target drug are not clear enough or there are multiple indications ，or when the researchers collect clinical ，epidemiological and medical insurance data to estimate the number of target population ，the prediction results of market capacity do not conform to the theoretical logic or actual situation due to the lack of necessary data ，or when the target disease has the characteristics of repeated attacks and short course of disease.

Calculation Method of Medical Insurance Fund Expenditure of Intervention Scheme for Cross-year Survival Patients Based on Survival Data of Cohort Model / 中国药房

OBJECTIVE：To construct a calculation method which can accurately reflect the medical insurance fund expenditure of intervention scheme for cross-year survival patients ，and to provide reference for the research of medical insurance budget impact analysis（BIA）. METHODS ：Based on survival data of cohort model ，taking the patients diagnosed in each cycle in each year as a cohort，the number of per capita survival cycle of cohort patients in each state in the study year was calculated ，i.e. the average survival time ；on this basis ，the total cost of patients in all cohorts in the study year was calculated according to the number of people in each cohort and the per capita cost each cycle in each state. Taking the intervention scheme of a cancer as an example ， the calculation was carried out by the established algorithm ，and the calculation results were compared with the results of several common algorithms ；at the same time ，the application suggestions were put forward for the expansion of the constructed algorithm in special cases. RESULTS & CONCLUSIONS ：Compared with the several common algorithms ，the calculation process of the constructed algorithm is more in line with the process of medical insurance fund expenditure related to drug intervention scheme in the real world ，and it can flexibly adapt to the calculation needs in a variety of special situations. This algorithm can more accurately calculate the medical insurance fund expenditure of a intervention scheme in a specific year ，and to a certain extent solve the problem of inaccurate prediction of medical insurance fund expenditure due to insufficient consideration of cross-year survival patients or simple and rough calculation process. It can provide a more accurate method choice for the research of medical insurance BIA in China.

Discussion on Budget Impact Analysis Based on the Increment of Users / 中国药房

OBJECTIVE：To pr ovide reference for the development of pharmacoeconomic budget impact analysis and related decision-making. METHODS ：Taking the incremental number of people using new intervention measures as the starting point ，a new algorithm was designed ，and the advantages and potential application scope of the new algorithm were compared with those of common algorithms. RESULTS & CONCLUSIONS ：The new algorithm directly used the sales data from the real world to calculate the number of users and their increment of each intervention scheme. Compared with common algorithms ，the new algorithm did not consider the unchanged part of the number of users of each intervention scheme ，but focused on the changing part of the number of users ，avoided the estimation of the number of the target population and the users of some intervention schemes ，and could solve the problem of unreasonable or inaccurate prediction of the target population and market share by common algorithms to a certain extent ；moreover，it could be flexibly adjusted to adapt to different market conditions and medical insurance access conditions. However ，due to the strong subjectivity of key parameters （such as preemption rate ）or inaccurate data sources ，the calculation results of the new algorithm are still uncertain.

Construction of the Evaluation System of the Research Quality of Medical Insurance Budget Impact Analysis / 中国药房

OBJECTIVE：To construc t the evaluation system of the research quality of medical insurance budget impact analysis （BIA），and to provide feasible evaluation tool for related departments as medical insurance department. METHODS ：Based on BIA guidance documents and relevant empirical literatures of ISPOR ，Canada，Poland，the United States and other countries ， combined with expert interview ，the relevant elements of medical insurance negotiation BIA material were confirmed （including key elements and adjuctive elements ）. The scale and system was established to calculate total score of BIA research quality evaluation. RESULTS ：Key elements included three data blocks as target population ，market situation and treatment cost ，involving 14 key elements such as total population ，new drug scenario market share ，treatment cost ，etc.. According to the degree of compliance，0-3 points were assigned and the lowest score after normalization was taken as the basic score of BIA research quality. The adjunctive elements included five data blocks as title & abstract ，research background ，analysis framework ，result presentation and other ，including 23 adjunctive elements such as title ，abstract，research angle ，research time limit ，etc.. According to whether there is quality grade difference ，the elements were divided into type A and type B ；the grade score （0-4 points）and 0/1 score（1 point for yes and 0 point for no ）were used respectively ，and the additional score of BIA research quality was obtained after calculation and addition. According to the addition of different weights （0.67 and 0.33）of basic score and additional score ，the total score system of BIA research quality evaluation could be calculated. CONCLUSIONS ：This study successfully constructed a new BIA quality evaluation system ，which can be used for the quality evaluation of BIA research submitted by medical insurance drug negotiation.

Study on the Medical Insurance Budget Impact Analysis Guideline in Some European Countries and Its Enligh- tenment to China / 中国药房

OBJECTIVE：To study the m edical insurance budget impact analysis （BIA）guidelines or nomative documents of some European countries ，and to provide the suggestions for the formulation and implementation of medical insurance BIA guidelines in China. METHODS ：Medical insurance BIA guidelines or related documents in European countries such as Ireland ， France，Poland，Belgium and UK were retrieved to summarize and comparatively analyze the general analysis framework and special specification. The formulation of medical insurance BIA guideline in China and the suggestions were put forward. RESULTS & CONCLUSIONS ：The above-mentioned medical insurance BIA guidelines or documents of the five European countries generally study the impact of the cost of health technology on resources within 3-5 years from the perspective of budget holders. The analysis framework of the guidelines or documents is basically the same ，but the guidelines or documents are adjusted according to the characteristics of national health system in terms of the positioning of medical insurance BIA ，the scope of cost data inclusion ， model design ，population subgroup analysis and so on. For example ，Ireland had special requirements on cost data inclusion ， sensitivity analysis and data source ，while France had detailed regulations on medical insurance BIA model ，sensitivity analysis and presentation of medical insurance BIA results. Our country should pay attention to the role of medical insurance BIA in medical and health decision-making ，formulate China ’s medical insurance BIA guidelines to standardize empirical research ，and combine the characteristics of China ’s health system when formulate the guideline. It is suggested that China ’s medical insurance BIA guidelines should at least include research perspective ，research time limit and discount ，reference situation ，target population ， cost，market share ，data source ，uncertainty analysis and other overall framework or basic elements to ensure the smooth operation of medical and health funds.

Development of Budget Impact Analysis of Orphan Drugs / 中国药学杂志

Budget impact analysis of drugs for rare diseases in different countries are reviewed. There are more than 7 000 kinds rare disease characterized by low incidence, serious influence on patients and society, difficulty in diagnosis, less effective intervention and therapeutic drugs. With the orphan drug legislation of the United States, the European Union and other countries, the number of drugs for rare diseases is increasing. At present, the United States has approved more than 600 drugs for rare diseases, and the European Union has approved more than 100 drugs for rare diseases. The types of rare diseases, the number of patients receiving treatment, the number of approved drugs for rare diseases, the annual cost of drug treatment for rare diseases and the availability of drugs are the main factors affecting the budget. The study shows that with the increase in the number of drugs approved for rare diseases, the proportion of drugs expenditure for rare diseases in the total drug expenses showed a slow rising trend, and there are national and regional differences. The overall budget impact of orphan drugs is small and fairly stable relative to total pharmaceutical expenditure. In addition, a small number of rare diseases drugs used to treat tumors and metabolic diseases have a greater impact on the total drug cost.

Potential life years not saved due to lack of access to anti-EGFR tyrosine kinase inhibitors for lung cancer treatment in the Brazilian public healthcare system: Budget impact and strategies to improve access. A pharmacoeconomic study

ABSTRACT BACKGROUND: Lung cancer is the fourth most common cancer in Brazil. In the 2000s, better understanding of molecular pathways led to development of epidermal growth factor receptor (EGFR)-targeted treatments that have improved outcomes. However, these treatments are unavailable in most Brazilian public healthcare services (Sistema Único de Saúde, SUS). OBJECTIVE: To assess the potential number of years of life not saved, the budget impact of the treatment and strategies to improve access. DESIGN AND SETTING: Pharmacoeconomic study assessing the potential societal and economic impact of adopting EGFR-targeted therapy within SUS. METHODS: We estimated the number of cases eligible for treatment, using epidemiological data from the National Cancer Institute. We used data from a single meta-analysis and from the Lung Cancer Mutation Consortium (LCMC) study as the basis for assessing differences in patients' survival between use of targeted therapy and use of chemotherapy. The costs of targeted treatment were based on the national reference and were compared with the amount reimbursed for chemotherapy through SUS. RESULTS: There was no life-year gain with EGFR-targeted therapy in the single meta-analysis (hazard ratio, HR, 1.01). The LCMC showed that 1,556 potential life-years were not saved annually. We estimated that the annual budget impact was 125 million Brazilian reais (BRL) with erlotinib, 48 million BRL with gefitinib and 52 million BRL with afatinib. Their incremental costs over chemotherapy per life-year saved were 80,329 BRL, 31,011 BRL and 33,225 BRL, respectively. A drug acquisition discount may decrease the budget impact by 30% (with a 20% discount). A fixed cost of 1,000 BRL may decrease the budget impact by 95%. CONCLUSION: Reducing drug acquisition costs may improve access to EGFR-targeted therapy for lung cancer.

Análise de impacto orçamentário do uso da razão dos testes sFlt-1: PlGF na exclusão de pré-eclâmpsia em mulheres com suspeita clínica na perspectiva do sistema de saúde suplementar / Budget impact analysis of sFlt-1/PlGF ratio to help rule-out pre-eclampsia in women presenting with clinical suspected in the private healthcare system perspective in Brazil

Objetivo: O objetivo do estudo foi avaliar o impacto econômico da incorporação da razão dos testes tirosina quinase-1 solúvel (sFlt-1):fator de crescimento placentário (PlGF) no auxílio da exclusão da pré-eclâmpsia na perspectiva do Sistema de Saúde Suplementar do Brasil (SSS). Métodos: Foi desenvolvido um modelo de decisão com o intuito de simular as decisões clínicas do manejo das pacientes com suspeita de pré-eclâmpsia entre a 24ª semana e a 36ª semana + 6 dias de gestação utilizando a razão dos testes sFlt-1:PlGF em comparação com cenário sem o teste. Os dados clínicos utilizados no modelo foram derivados do estudo PROGNOSIS. A análise incluiu apenas custos diretos que foram baseados na Tabela CBHPM (Classificação Brasileira Hierarquizada de Procedimentos Médicos) e na Tabela CMED PF 18% (Câmara de Regulação do Mercado de Medicamentos). Uma análise de sensibilidade univariada foi conduzida com variação de 15% dos parâmetros. Resultados: A razão dos testes sFlt-1:PlGF apresentou um potencial de economia de -R$ 4.532,04 por paciente comparado ao cenário sem teste. Considerando a incorporação no SSS, a razão dos testes sFlt-1:PlGF pode promover uma economia de -R$ 6.375.865,68 em 2021 e um acumulado de -R$ 136.495.533,87 em cinco anos. Conclusão: O uso da razão sFlt-1:PlGF no auxílio da exclusão da pré-eclâmpsia tem potencial de melhorar as decisões clínicas e, consequentemente, evitar hospitalizações desnecessárias. A incorporação do teste pode promover uma economia substancial para o sistema de saúde suplementar

Objective: The aim of this study was to evaluate the economic impact of the incorporation of the soluble fms-like tyrosine kinase (sFlt-1) to placental growth factor (PlGF) ratio test in the private healthcare system in Brazil (SSS). Methods: A decision model was developed in order to simulate the clinical decisions of the management of women with suspected pre-eclampsia between 24 weeks and 36 weeks plus 6 days with sFlt-1:PlGF ratio test, compared with no test scenario. The clinical data used in the model were derived from PROGNOSIS study. The analysis included only direct costs that were based on CBHPM (Classificação Brasileira Hierarquizada de Procedimentos Médicos) and CMED PF 18% (Câmara de Regulação do Mercado de Medicamentos). A univariate sensitivity analysis was conducted with a variation of 15%. Results: The sFlt-1:PlGF ratio test has the potential to save -R$ 4.532,04 per patient compared to no test scenario. Considering the incorporation of the test in SSS, the sFlt1:PlGF ratio test can promote an economy of -R$ 6.375.865,68 in 2021 and -R$ 136.495.533,87 in accumulated five years of. Conclusion: The use of sFlt-1:PlGF ratio test to help rule-out pre-eclampsia has the potential to improve clinical decision and therefore to reduce unnecessary hospitalizations. The incorporation of the test can promote a substantial saving to the private healthcare system.

Impacto orçamentário de natalizumabe para o tratamento em primeira linha da esclerose múltipla remitente-recorrente altamente ativa sob a perspectiva do sistema de saúde privado brasileiro / Budget impact analysis of the adoption of natalizumab as first-line treatment of highly active relapsing-remitting multiple sclerosis from a Brazilian private payer perspective

Objetivos: Os objetivos deste estudo são calcular o custo de um surto de esclerose múltipla sob a perspectiva de uma operadora de saúde privada e o impacto orçamentário da adoção de natalizumabe em primeira linha para esclerose múltipla remitente-recorrente altamente ativa (EMRRAA). Métodos: Para o cálculo do custo do surto, duas abordagens foram adotadas: para surtos que não levam a hospitalizações, foi aplicada uma pesquisa a 33 médicos neurologistas para identificação do consumo de recursos. Microcusteio foi realizado com base em bases de dados públicas. Para o cálculo do custo de surtos que levam a hospitalizações, foi utilizada uma base de contas médicas. Para o cálculo do impacto orçamentário, foi construído um modelo baseado em prevalência. Foram assumidos os seguintes custos: custo de aquisição de natalizumabe, custo de infusão de natalizumabe e custo de surtos. Taxa de ocorrência de surtos para natalizumabe e para seus comparadores, disponível apenas no sistema público, foi obtida em estudos clínicos e metanálises. O caso-base foi realizado considerando-se uma operadora que atende 100 mil vidas na região Sudeste. Análise de sensibilidade foi realizada. Resultados: O custo calculado de um surto foi de R$ 14.157,21. O impacto orçamentário calculado para adoção de natalizumabe para EMRRAA foi de R$ 0,64 por beneficiário por ano, ou 0,02% das despesas assistenciais de uma operadora de saúde suplementar, ou 0,02% de suas receitas de contraprestações. A análise de sensibilidade confirma que o impacto não chega a 1 real por beneficiário por ano e atinge, no máximo, 0,03% das despesas assistenciais. Conclusão: Dados os altos benefícios clínicos de natalizumabe, o impacto orçamentário de sua adoção para primeira linha de EMRRAA é considerado baixo. O impacto pode estar superestimado, visto que não foram considerados custos de progressão da doença.

Objetivos: The goals of this study are to evaluate the cost of a multiple sclerosis relapse and the budget impact of adopting natalizumab as first-line therapy for HARRMS, both from a private payer perspective. Methods: For calculating the cost of a relapse, two approaches were adopted: for relapses not resulting in hospitalizations, a research with 33 physicians was made to obtain resource utilization data. Microcosting was performed using public data sources. For calculating costs of relapses leading to hospitalizations, we analyzed a claims database. To calculate the budget impact of adopting natalizumab as per its label indication, we built a prevalence-based model. The following costs were included: drug acquisition, drug infusion and relapses costs. The relapses rates for natalizumab and its comparators present in the public system were calculated based on clinical trials and meta-analysis. The base case was calculated assuming a hypothetical payer covering one hundred lives in the southeastern region of Brazil. Sensitivity analysis was performed. Results: The calculated relapse cost was R$ 14,157.21. The calculated budget impact for adopting natalizumab for HARRMS was R$ 0.64 per person per year, or 0.02% of the payer's healthcare expenditures, or 0.02% of its revenue. The sensibility analysis confirmed that the budget impact does not reach one real per person per year and does not exceed 0.03% of healthcare expenses. Conclusion: Given the high clinical benefits of adopting Tysabri, its budget impact can be considered low. The results might be overestimated, since disability progression costs were not accounted in the calculations

Revisão e proposta para atualização da diretriz metodológica de análise de impacto orçamentário de tecnologia em saúde para o SUS / Review and proposal to update the methodological guideline for budget impact analysis of health technology for the SUS

Objetivos: Fazer uma proposta para atualização da diretriz com maior padronização dos métodos e realizar análise crítica dos pontos considerados mais relevantes para a formulação de um estudo de análise de impacto orçamentário. Métodos: Revisão da literatura, extração de dados, seleção de etapas básicas para a execução de uma análise de impacto orçamentário, apresentação dos resultados para debate com especialistas. Resultados: Foram recuperados 1.215 títulos, dos quais seis foram elegíveis para síntese qualitativa e definição da estrutura analítica para projetar e construir um modelo de impacto orçamentário: perspectiva da análise; estimar a população-alvo; horizonte temporal; taxa de incorporação da nova tecnologia ao mercado (market share); estimar os custos; fontes de dados; taxa de desconto e apresentação do resultado final. Recomendações: perspectiva da análise deve ser a do pagador; estimativa da população elegível a partir de dados epidemiológicos oriundos do Instituto Brasileiro de Geografia e Estatística (IBGE) preferencialmente; horizonte temporal de dois a cinco anos; buscar a taxa de incorporação em órgãos oficiais; custos diretos estimados a partir da autorização de internação hospitalar e portais de compras governamentais; fontes de dados oficiais e apresentação de resultados em tabela e o impacto incremental ano a ano. Conclusões: Avaliação de Impacto Orçamentário é uma ferramenta feita para auxiliar o gestor, que prima por tentar garantir equilíbrio fiscal ao sistema diante das inúmeras demandas da sociedade. Essa característica é fundamental no mundo atual, onde transparência e a responsabilidade nos gastos são exigências cada vez mais frequentes por parte do cidadão.

Objectives: To make a proposal to update the guideline with a standardization of the methods and do a critical analysis of the points considered most relevant to the formulation of a study of Budget Impact Analysis. Methods: Literature review, data extraction, selection of basic steps to do a budget impact analysis, presentation of results for discussion with experts. Results: 1,215 titles were retrieved, of which 6 were eligible for qualitative synthesis and definition of the analytical framework to design and build a model of budgetary impact: analysis perspective; estimate the target population; temporal horizon; rate of incorporation of the new technology into the market ("market share"); estimate costs; data sources; discount rate and presentation of the final result. Recommendations: the perspective of the analysis should be that of the payer; the estimation of the eligible population from epidemiological data from the Brazilian Institute of Geography and Statistics (IBGE) preferably; time horizon of 2 to 5 years; rate of incorporation with official data; direct costs estimated from hospital admission authorization and government shopping sites; official data sources and presentation of results in table and incremental impact year by year. Conclusions: Budget Impact Analysis is a tool designed to assist the manager, that trying to guarantee a fiscal balance to the system against the innumerable demands of society. This characteristic is fundamental in today's world where transparency and responsibility in spending are increasingly frequent demands on the part of the citizen.

Quality Evaluation of the Literatures about Medical Insurance Budget Impact Analysis in China and the United States / 中国药房

OBJECTIVE： To provide experience and reference for the study of medical insurance budget impact analysis （BIA） in China. METHODS： Retrieved from PubMed， ProQuest， CNKI， Wanfang database and CBM， related literatures about medical insurance BIA research in China and the United States were collected since the establishment of the database. The basic information， analysis results and data sources were summarized and sorted out， and descriptive analysis of the included literature was carried out on basis of seven key elements such as model design， research perspective， treatment cost， reference scenario， target population， research time limit and discount/inflation， sensitivity analysis. RESULTS： A total of 72 literatures were included in this study， involving 24 （33.33％） studies in China， 48 （66.67％） studies in the United States； the indications of 45 studies were chronic diseases （62.50％）， and those of 21 studies were acute diseases （37.50％）. Among the research methods， 49 studies （68.06％） used BIA alone and 23 studies （31.94％） adopted BIA combined with pharmaceutical economics. In terms of model design， 50 studies （69.44％） adopted cost calculation models. In terms of research perspective， 60 studies （81.94％） were based on the perspective of medical insurance department research. In the calculation of treatment cost， 69 studies （95.84％） included drug cost. In terms of reference scenarios， 61 studies （84.72％） compared the economics of different drug-based treatment groups. For target population， only 31  （43.06％） studies used real world data. In terms of research duration and discount/inflation， 14 studies （19.44％） used treatment or length of hospitalization to indicate research duration， and 19 studies （26.39％） used discount rate or inflation rate to adjust costs. As for sensitivity analysis， 62 studies （86.11％） conducted sensitivity analysis， of which 49 （68.06％） used single factor sensitivity analysis. CONCLUSIONS： There are still some limitations in medical insurance BIA research literature in China and the United States， such as unreasonable use of data， incomplete coverage of the cost， and unreasonable setting of sensitivity analysis variables. It is recommended that BIA research should standardize data sources to improve the quality of budget evidence quality， reasonably evaluate market size to improve the authenticity of prediction， scientifically set variables and their scope of change to improve the stability of results， establish BIA research paradigms or evaluating standards so as to guide BIA research scientifically.

Budget Effect Analysis of Ivabradine in the Treatment of Heart Failure on Medical Insurance Fund in China / 中国药房

OBJECTIVE： To evaluate the effects of ivabradine in the treatment of heart failure on medical insurance fund budget in China， and to provide support evidence of related economical evaluation for medical insurance department to solve the problem of reimbursement admission of the drug in hospital outpatient department and the establishment of drug list in hospital. METHODS： Excel decision tree model was used. Pharmacoeconomic analysis was conducted based on the data reported in domestic literatures over the years. Firstly， according to the prevalence rate of heart failure in China， the number of patients with heart failure was estimated， which accorded with NYHA cardiac function class Ⅱ-Ⅳ， systolic blood pressure dysfunction and ivabradine indication. Then the cost of ivabradine was estimated. Secondly， the total number of hospitalizations and the cost of hospitalization due to heart failure were estimated. Finally， the cost of ivabredine and the cost of treatment saved by avoiding re-hospitalization due to the use of ivabredine were considered comprehensively. Static budget impact analysis was conducted to evaluate the effects of the use of ivabredine on medical insurance fund budget. RESULTS： The prevalence rate of heart failure in China was raised to 1.3％ in 2013. It was estimated that the number of heart failure patients between 35-75 years old in China could be about 8.51 million and total hospitalization times was about 4.32 million per year. The economic burden of hospitalization in heart failure patients was about 168.940 billion yuan in whole country. Since 18％ of patients could be avoided re-hospitalization after treatment with ivabradine， the cost of hospitalization could be saved by about 30.410 billion yuan， while the total cost of taking ivabradine was about 17.525 billion yuan. Therefore， the use of ivabradine could save the hidden medical cost budget by about 12.886 billion yuan， which had obvious cost-effectiveness. Static budget impact analysis results showed that by 2019-2020， the expected proportion of patients with heart failure covered by ivabradine would increased to 8.70％， and the total consumption sum would reach about 1.797 billion yuan. The incremental cost savings ratio （ICSR） showed that the cost of hospitalization could be saved by about 11 951 yuan for each additional case of heart failure treated with ivabradine； there could be 5 711 yuan of balance by deducting drug cost 6 240 yuan of ivabradine. CONCLUSIONS： The cost savings of hospitalization treated by ivabradine is not only enough to offset the cost of ivabradine itself， but also has a premium effect. The drug is of certain economy for the treatment of heart failure in China.

Modelo de impacto orçamentário do rituximabe subcutâneo comparado ao intravenoso no tratamento do linfoma não Hodgkin difuso de grandes células B, CD-20 positivo, no sistema de saúde suplementar brasileiro / Budget impact model of subcutaneous compared with intravenous rituximab in the treatment of diffuse large B-cell and follicular CD-20+ non-Hodgkin lymphoma patients in the Brazilian private healthcare system

Objetivo: Estimar o impacto orçamentário da introdução de rituximabe subcutâneo, comparado ao intravenoso, no sistema de saúde suplementar brasileiro, para o tratamento de linfoma não Hodgkin (LNH) difuso de grandes células B CD-20 positivo. Métodos: As perspectivas foram o sistema de saúde suplementar e operadoras de saúde de grande, médio e pequeno portes. Dados da Agência Nacional de Saúde Suplementar (ANS) foram utilizados para obter o número médio de pacientes por porte das operadoras e cruzados com dados epidemiológicos de LNH para estimar a população elegível. Uma pesquisa com 28 operadoras mapeou taxas, preços e tabelas de referência usadas para o reembolso de medicamentos, materiais e procedimentos. Uma equipe multidisciplinar estimou o uso de recursos. Os custos médicos diretos foram incluídos e os preços foram obtidos de fontes públicas. O horizonte temporal foi de cinco anos e considerou-se a incorporação progressiva de rituximabe subcutâneo com 20% no primeiro ano até atingir 100%. Resultados: Em cinco anos, 3.846 pacientes com LNH difuso foram estimados para o sistema de saúde suplementar, 35 para uma operadora de grande porte, 5 para uma de médio porte e 5 para uma de pequeno porte. Demonstrou-se que a incorporação de rituximabe subcutâneo pode economizar até R$ 15,8 milhões para todo o sistema, R$ 144,3 mil para uma operadora de grande porte e R$ 20,4 mil tanto para uma operadora de médio quanto para uma de pequeno porte. Conclusão: A incorporação de rituximabe subcutâneo no sistema de saúde suplementar brasileiro pode economizar até R$ 15,8 milhões no tratamento de LNH.

Objective: To estimate the budgetary impact of the introduction of subcutaneous compared with intravenous rituximab in the Brazilian private healthcare system to treat diffuse large B-cell CD-20+ non-Hodgkin lymphoma (NHL) patients. Methods: Perspectives were the private healthcare system (PHS), a big, medium and small HMO. We used data from National Regulatory Agency for Private Health Insurance and Plans to obtain the mean number of patients per HMO size. Incidence and survival data of diffuse large B-cell CD-20+ NHL were applied to reach the eligible population. A survey with 28 HMOs mapped fees, pricing sources and reference tables used for reimbursement. A multidisciplinary team estimated the resource use. Direct medical costs were included; drugs and material prices were obtained from published sources. Time horizon was 5 years and market share considered the uptake of subcutaneous rituximab starting with 20% in the first year, increasing to 100%. Results: In 5 years, 3,846 diffuse NHL patients were estimated for the PHS, 35 for big HMO, 5 for medium HMO, and 5 for small HMO. Results showed that the progressive incorporation of subcutaneous rituximab can save up to 15.8 million BRL, 144.3 thousand BRL, and 20.4 thousand BRL in the PHS, a big HMO, and in medium/small HMOs, respectively. Differences among fees and material costs of subcutaneous and intravenous administration were the main drivers of results. Conclusion: Compared with the intravenous administration, subcutaneous rituximab can save up to 15.8 million BRL costs in the NHL treatment in the Brazilian PHS.

Análise de impacto orçamentário: uma revisão prática de conceitos e aplicações para o gestor / Budget impact analysis: a practical review of concepts and applications for the manager

Avaliações econômicas em saúde são essenciais para a tomada de decisão de gestores, visto que as inovações no setor nem sempre podem ser incorporadas conforme as expectativas dos usuários e da indústria. Logo, a análise de impacto orçamentário (AIO), uma das principais ferramentas da avaliação de tecnologias em saúde (ATS), permite aos gestores estimar o potencial número de indivíduos elegíveis para determinada tecnologia ao longo dos anos, prever quanto será necessário gastar para incorporar a tecnologia ou, eventualmente, se haverá economia nos cofres do pagador com a inclusão dela. Com a crescente publicação de artigos científicos sobre AIO no Brasil, surge a preocupação a respeito da qualidade metodológica desses estudos. O objetivo desta revisão é apresentar recomendações-chave para a elaboração de uma AIO adequada e expor a utilidade prática da AIO para a tomada de decisão de gestores de saúde por meio da análise de quatro estudos publicados. O formato de apresentação de uma AIO possibilita rápido entendimento e possui atributos que permitem evidenciar o maior valor de produtos e serviços de saúde junto aos tomadores de decisão em saúde, contribuindo para as melhores escolhas do ponto de vista clínico e econômico, nos sistemas público e privado. Porém, cabe ressaltar que alguns estudos ainda carecem de evidências de mundo real ou dados epidemiológicos para as estimativas e trabalham de maneira insuficiente as ferramentas para a redução de incertezas paramétricas.

Health economics evaluations are essential for decision makers, since innovations can not always be incorporated according to expectations of users and industry. Therefore, the Budget Impact Analysis (BIA), one of the main tools in Health Technology Assessment (HTA), allows managers to estimate the potential number of individuals eligible for a given technology over the years, to predict how much it will be necessary to spend for incorporate the technology or, eventually, whether there will be savings in the payer's coffers with the inclusion of the same. With the growing publication of scientific articles on BIA in Brazil, there is concern about the methodological quality of these studies. The objective of this review is to present key recommendations to elaborate an adequate BIA, commenting on four published studies, aiming to expose the practical utility of BIA for health managers. The presentation format of the BIA provides a quick understanding and has attributes that allows evidence of the highest value of health products and services among health decision makers, contributing to the best clinical and economic choices in public and private health systems. However, it should be noted in some studies there is still a lack of real-world evidence or epidemiological data for the estimates and insufficient using of tools to reduce parametric uncertainties.

Study on International Experience of Medical Insurance Budget Impact Analysis and Its Enlightenment to China / 中国药房

OBJECTIVE:To put forward relevant suggestions for formulating and implementing medical insurance budget impact analysis(BIA)research guideline in China. METHODS:The medical insurance BIA guidelines or relevant documents were retrieved from ISPOR,Canada and the United States. Their similarities and differences were compared. The experiences of them were summarized in respects of research framework,data source and report format of medical insurance BIA. RESULTS &CONCLUSIONS:ISPOR,Canada,USA and other guidelines or relevant documents have some similarities in normalization requirements of research perspectives,target population calculation based on natural reason and epidemiological data,3-5 years as the research time limit and some other respects. But the calculation of additional costs as drug price addition,distribution fee should be specifically adjusted according to the unique characteristics of the health systems of countries or regions. Based on the actual conditions of our own health care system,our country can draw up the guidelines for medical insurance BIA impact analysis,which contain model design,research perspective,target population,current use of intervention measures,prediction on the effects of new intervention measure introduction on the market,cost,time range,discount and uncertainty analysis of current and new interventions,situational analysis and verification,so as to better play its role in the formulation and adjustment of medical insurance catalogues and in drug price negotiations.

Impacto orçamentário para o Sistema Único de Saúde da incorporação do infliximabe biossimilar no tratamento de artrite reumatóide / Budgetary impact of the incorporation of biosimilar infliximab in the treatment of rheumatoid arthritis from the perspective of the Brazilian Public Health System

A artrite reumatoide (AR) é uma doença inflamatória crônica, autoimune, que afeta as articulações, podendo produzir sintomas sistêmicos. O infliximabe é um medicamento biológico incorporado no Sistema Único de Saúde (SUS) para o tratamento da AR, que teve um biossimilar aprovado em 2015. Além do biossimilar, existe um produto derivado de uma Parceria de Desenvolvimento Produtivo (PDP). Este estudo estimou o impacto orçamentário da incorporação do infliximabe biossimilar no tratamento da AR no SUS. O impacto orçamentário da incorporação do produto da PDP foi contemplado como um dos objetivos secundários. As estimativas foram calculadas pelo método de demanda aferida para um horizonte temporal de cinco anos. Foram estimadas duas estratégias de uso: (A) apenas casos novos de AR recebendo o infliximabe inovador utilizarão o biossimilar (ou o produto da PDP) e (B) tanto os casos novos como 50% daqueles já em uso do infliximabe inovador utilizarão o biossimilar (idem). As projeções da população com AR foram realizadas a partir dos dados presentes no Datasus e da "quota de mercado"1 do infliximabe. Adicionalmente, foram realizadas análises de sensibilidade univariadas, considerando uma difusão progressiva dos dois produtos e de pior e melhor cenário. A incorporação do infliximabe biossimilar e do produto de PDP para casos novos (estratégia A) implicariam em economias de -R$ 284.430.468,79 e -R$ 366.194.377,69, respectivamente, em cinco anos. Esses valores representariam reduções de 19% e 24%, respectivamente, nos gastos em saúde de infliximabe para o tratamento de AR. Na estratégia B, onde também são considerados parte dos pacientes em terapia de manutenção as economias geradas seriam de -R$ 419.006.071,14 para o biossimilar e -R$ 539.455.804,86 para o produto da PDP. Na análise de sensibilidade por difusão progressiva, as economias reduzem se a -R$ 178.544.332,95 (estratégia A) e -R$ 263.639.280,49 (estratégia B) para o biossimilar e -R$ 229.869.645,03 (estratégia A) e -R$ 339.426.443 (estratégia B). Na análise de melhor cenário, os resultados apontaram para economias de -R$ 1.011.789.713,83 e -R$ 1.222.955.301,30 para o biossimilar e produto da PDP, respectivamente. Já no pior cenário, as estimativas mostram que a introdução das tecnologias analisadas produziria um ônus ao sistema de saúde de R$ 8.552.019,91 (para o biossimilar) e R$ 5.366.519,91 para o produto da PDP. A incorporação do produto biossimilar no tratamento da AR proporcionaria redução dos gastos, tornando possível uma alocação de recursos mais eficiente para o tratamento dessa doença.

Rheumatoid arthritis (AR) is a chronic, autoimmune, inflammatory disease that affects the joints, but also may produce systemic symptoms. Infliximab is a biologic drug incorporated into the Brazilian Public Health System (SUS) for the treatment of AR, which had a biosimilar approved in 2015. In Brazil, in addition to biosimilar, there is a product derived from a public-private partnership (PDP). This study aimed to estimate the budgetary impact of the incorporation of biosimilar infliximab in the treatment of AR in SUS. The budgetary impact of the incorporation of the PDP product was considered as one of the secondary objectives. Estimates were calculated using a measured demand approach over a five-year time horizon. Two strategies of utilization was estimated for the biosimilar product or PDP: (A) only new cases that would receive the innovative infliximab will use the biosimilar (or the PDP product) and (B) both new cases and 50% of those already in use of the innovative infliximab will use biosimilar (idem). The projections of the AR population were based on data from Datasus and the "market share" of infliximab. In addition, univariate sensitivity analyzes were performed, considering the progressive diffusion and analyses of "best-case scenario" and "worst-case scenario". The incorporation of biosimilar infliximab and PDP product for new cases (strategy A) would save -R$ 284,430,468.79 and -R$ 366,194,377.69, respectively, in five years. These values would represent reductions of 19% and 24%, respectively, in the health expenditures of infliximab for the treatment of AR. In strategy B, where part of the maintenance therapy patients were also considered, the savings would be -R$ 419,006,071.14 for biosimilar and -R$ 539,455,804.86 for the PDP product. For both drugs, the practiced price was the parameter with the greatest impact on the cost savings estimates, both in strategy A and B. In the sensitivity analysis by progressive diffusion the savings would decrease to -R$ 178,544,332.95 (strategy A) and -R $ 263,639,280.49 (strategy B) for biosimilar and -R $ 229,869,645.03 (strategy A) and -R$ 339,426,443 (Strategy B). In the analysis of best-case scenario, the results showed savings of -R$ 1,011,789,713.83 and -R$ 1,222,955,301.30 for biosimilar and PDP products, respectively. On the other hand, in the worst-case scenario the introduction of the analyzed technologies would result in a health system burden of R$ 8,552,019.91 for the biosimilar and R$ 5,366,519.91 for the PDP product. The incorporation of the biosimilar product in the treatment of AR would reduce the health care expenditures for this treatment, allowing the budget manger to allocate resources more efficiently for the treatment of AR.

Budget Impact Analysis of Free Influenza Vaccination for Elderly People Over 60 Years Old in Guangzhou / 中国药房

OBJECTIVE:To evaluate the economic efficiency of the Guangzhou government's free vaccination of influenza vaccine for elderly people over 60 years old from perspective of government,and to provide reference for decision-making depart-ment. METHODS:The static budget impact analysis model was constructed to estimate the healthcare expenses of self-paid vaccina-tion and free vaccination,and analyze the change of total government expenditure. RESULTS:The healthcare costs by government was estimated to be 40785594 yuan when the influenza vaccination was self-paid;it would rise up to 54744715 yuan when the government provided the influenza vaccine freely,so the government needed to invest more than 13959121 yuan each year,but in-fluenza patients could be reduced by about 39845 people. The sensitivity analysis showed that the health cost additionally invested by government was not more than 20 million yuan every year. CONCLUSIONS:It is economical for the government of Guangzhou to provide free vaccination for elderly people over 60 years old. If the government is financially affordable,it may consider providing free influenza vaccine for the elderly in the city so as to protect the elderly from influenza and its complications to a greater extent.

The cost-effectiveness and budget impact of a community-based universal newborn hearing screening program in the Philippines

@#<p style="text-align: justify;"><strong>BACKGROUND:</strong> In 2000, the World Health Organization recommended implementation of universal hearing screening. The Philippines enacted this policy into law in 2009 as it was found to be cost-effective for the Philippines. The model at the time used a hospital-based approached to screening. This paper examines the cost-effectiveness and budget impact of implementing a community-based universal hearing screening program.<br /><strong>METHODS:</strong> A model was developed following a community-based hearing screening program. Parameters were obtained through literature review, secondary data analysis, and consultation with experts. Cost-effectiveness was assessed for a single birth cohort from a public payer and societal perspective.<br /><strong>RESULTS:</strong> A community-based universal hearing screening program was found to be cost-saving. One-way sensitivity analysis showed that results were sensitive only to treatment rate and follow-up rate. The program is also a high budget impact program.<br /><strong>CONCLUSION:</strong> A community-based hearing screening program is cost-saving for the Philippines. Ensuring treatment and good follow-up in testing will ensure cost-effectiveness.</p>