33 research outputs found

    A systematic review of value criteria for next-generation sequencing/ comprehensive genomic profiling to inform value framework development

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    Objectives: To comprehensively identify and map an exhaustive list of value criteria for the assessment of next-generation sequencing/comprehensive genomic profiling (NGS/CGP), to be used as an aid in decision making. Methods: We conducted a systematic review to identify existing value frameworks (VFs) applicable to any type of healthcare technology. VFs and criteria were mapped to a previously published Latin American (LA) VF to harmonize definitions and identify additional criteria and or subcriteria. Based on this analysis, we extracted a comprehensive, evidence-based list of criteria and subcriteria to be considered in the design of a NGS/CGP VF. Results: A total of 42 additional VFs were compared with the LA VF, 88% were developed in high-income countries, 30% targeted genomic testing, and 16% specifically targeted oncology. A total of 242 criteria and subcriteria were extracted; 227 (94%) were fully/partially included in the LA VF; and 15 (6%) were new. Clinical benefit and economic aspects were the most common criteria. VFs oriented to genomic testing showed significant overlap with other VFs. Considering all criteria and subcriteria, a total of 18 criteria and 36 individual subcriteria were identified. Conclusions: Our study provides an evidence-based set of criteria and subcriteria for healthcare decision making useful for NGS/CGP as well as other health technologies. The resulting list can be beneficial to inform decision making and will serve as a foundation to co-create a multistakeholder NGS/CGP VF that is aligned with the needs and values of health systems and could help to improve patient access to high-value technologies

    A cost-effectiveness analysis of a 10-valent pneumococcal conjugate vaccine in children in six Latin American countries.

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    BACKGROUND: A recently developed 10-valent pneumococcal non-typeable H influenzae protein D-conjugate vaccine (PHiD-CV) is expected to afford protection against more than two thirds of isolates causing IPD in children in Latin America, and also against acute otitis media caused by both Spn and NTHi. The objective of this study is to assess the cost-effectiveness of PHiD-CV in comparison to non-vaccination in children under 10 years of age in Argentina, Brazil, Chile, Colombia, Mexico and Peru. METHODS: We used a static, deterministic, compartmental simulation model. The dosing regimen considered included three vaccine doses (at 2 months, 4 months and 6 months) and a booster dose (at 13 months) (3 + 1 schedule). Model outcomes included number of cases prevented, deaths averted, quality-adjusted life-years (QALYs) gained and costs. Discount for costs and benefits of long term sequelae was done at 3.5%, and currency reported in 2008-2009 USvaryingbetweencountries.RESULTS:Thelargesteffectincasepreventionwasobservedinpneumococcalmeningitis(from27S varying between countries. RESULTS: The largest effect in case prevention was observed in pneumococcal meningitis (from 27% in Peru to 47% in Colombia), neurologic sequelae after meningitis (from 38% in Peru to 65% in Brazil) and bacteremia (from 42% in Argentina to 49% in Colombia). The proportion of predicted deaths averted annually ranged from 18% in Peru to 33% in Brazil. Overall, the health benefits achieved with PHiD-CV vaccination resulted in a lower QALY loss (from 15% lower in Peru to 26% in Brazil). At a cost of USD 20 per vaccine dose, vaccination was cost-effective in all countries, from being cost saving in Chile to a maximum Incremental Cost-effectiveness Ratio of 7,088 US Dollars per QALY gained. Results were robust in the sensitivity analysis, and scenarios with indirect costs affected results more than those with herd immunity. CONCLUSIONS: The incorporation of the 10-valent pneumococcal conjugate vaccine into routine infant immunization programs in Latin American countries could be a cost-effective strategy to improve infant population health in the region

    La costo-efectividad de las intervenciones y políticas para el control de las enfermedades no transmisibles y sus factores de riesgo en América Latina y el Caribe: revisión sistemática

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    Las enfermedades no transmisibles (ENT) son la principal causa de muerte en las Américas; entre ellas, las enfermedades cardiovasculares (ECV) ocasionan 45% de las defunciones (Hospedales, Barcelo, Luciani y colaboradores 2012). Se calcula que en América Latina y el Caribe (ALC), las defunciones atribuibles a las ECV, en particular la enfermedad coronaria (EC), aumentarán en alrededor de 145%, tanto en los hombres como en las mujeres, entre 1990 y el año 2020. Estas cifras contrastan con un aumento de 28% en las mujeres y de 50% en los hombres durante el mismo periodo en los países desarrollados (Yusuf, Hawken, Ounpuu y colaboradores 2004).Fil: Watkin, David. No especifíca;Fil: Poggio, Rosana. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Investigaciones en Epidemiología y Salud Pública. Instituto de Efectividad Clínica y Sanitaria. Centro de Investigaciones en Epidemiología y Salud Pública; ArgentinaFil: Augustovski, Federico Ariel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Investigaciones en Epidemiología y Salud Pública. Instituto de Efectividad Clínica y Sanitaria. Centro de Investigaciones en Epidemiología y Salud Pública; ArgentinaFil: Brouwer, Elizabeth. No especifíca;Fil: Pichon Riviere, Andrés. No especifíca;Fil: Rubinstein, Adolfo Luis. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Investigaciones en Epidemiología y Salud Pública. Instituto de Efectividad Clínica y Sanitaria. Centro de Investigaciones en Epidemiología y Salud Pública; ArgentinaFil: Nugent, Rachel. No especifíca

    Essential parameters for use in epidemiological models of COVID-19 in Argentina: a rapid review

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    INTRODUCCIÓN: Los modelos de simulación para COVID-19 requieren una serie de parámetros epidemiológicos que varían en base a cuestiones propias de cada región y al momento de la pandemia que se esté atravesando. OBJETIVO: Esta revisión rápida presenta los parámetros epidemiológicos esenciales potencialmente utilizables en Argentina. MÉTODOS: Se realizó una búsqueda en las principales bases de datos y en buscadores de artículos en estado de preimpresión (preprints) de parámetros relacionados con la propagación del virus y evolución de la enfermedad, y el uso del sistema de salud. Para revisar los artículos seleccionados se utilizó una herramienta de evaluación de calidad apropiada al diseño del estudio. RESULTADOS: De las variables relacionadas con la propagación y evolución; el período de incubación es de 5,8 días (intervalos de confianza [IC95%]: 4,83-6,85), el período de infecciosidad es de 6,25 días (IC95%: 5,09-7,51), el número básico de reproducción es de 3,32 (IC95%: 3,24-3,39), y la tasa de fatalidad en pacientes infectados fue de 0,64% (IC95%: 0,5-0,78). De las variables relacionadas con el uso del sistema de salud, el tiempo de internación hospitalaria es de 5 días (rango intercuartílico [RIC]: 3-9), el tiempo de internación en una unidad de cuidados intensivos (UCI) es de 7 días (RIC: 4-11), el porcentaje de pacientes internados que requieren de UCI es de 26% (IC95%: 20-33) y, de estos, el porcentaje que requieren de ventilación mecánica es de 69% (IC95%: 61-75). DISCUSIÒN: Estudios recientes y datos de acceso públicos a nivel nacional muestran valores distintos a los relevados de la bibliografía internacional. La información recolectada en este trabajo puede contribuir a informar futuros modelamientos y tableros de control para predecir la dinámica de la epidemia en Argentina.INTRODUCTION: Simulation models for COVID-19 require a set of epidemiological parameters that vary according to regional issues and the timing of the pandemic. OBJECTIVE: This rapid review presents the essential epidemiological parameters potentially usable in Argentina. METHODS: A search of the main databases and search engines for articles in preprint status (preprints) of parameters related to the spread of the virus and evolution of the disease, and the use of the health system was carried out. A quality assessment tool appropriate to the study design was used to review the selected articles. RESULTS: Of the variables related to the spread and evolution; the incubation period is 5.8 days (confidence intervals [CI95%]: 4.83-6.85), the infectious period is 6.25 days (CI95%: 5.09-7.51), the basic reproduction number is 3.32 (CI95%: 3.24-3.39), and the fatality rate in infected patients was 0.64% (CI95%: 0.5-0.78). Of the variables related to health system use, the length of hospital stay was 5 days (interquartile range [IQR]: 3-9), the length of stay in an intensive care unit (ICU) was 7 days (IQR: 4-11), the percentage of hospitalized patients requiring ICU was 26% (CI95%: 20-33) and, of these, the percentage requiring mechanical ventilation was 69% (CI95%: 61-75). DISCUSSION: Recent studies and publicly available data at the national level show values different from those reported in the international literature. The information collected in this work may contribute to inform future modeling and dashboards to predict the dynamics of the epidemic in Argentina.Fil: Argento, Fernando Javier. Instituto de Efectividad Clínica y Sanitaria; ArgentinaFil: Rodriguez Cairoli, Federico. Instituto de Efectividad Clínica y Sanitaria; ArgentinaFil: Perelli, Lucas. Instituto de Efectividad Clínica y Sanitaria; ArgentinaFil: Augustovski, Federico Ariel. Instituto de Efectividad Clínica y Sanitaria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Pichon Riviere, Andrés. Instituto de Efectividad Clínica y Sanitaria; ArgentinaFil: Bardach, Ariel Esteban. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Investigaciones en Epidemiología y Salud Pública. Instituto de Efectividad Clínica y Sanitaria. Centro de Investigaciones en Epidemiología y Salud Pública; Argentin

    Lives Versus Livelihoods: The Epidemiological, Social, And Economic Impact Of COVID-19 In Latin America And The Caribbean

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    During the COVID-19 pandemic, Latin American and Caribbean countries implemented stringent public health and social measures that disrupted economic and social activities. This study used an integrated model to evaluate the epidemiological, economic, and social trade-offs in Argentina, Brazil, Jamaica, and Mexico throughout 2021. Argentina and Mexico displayed a higher gross domestic product (GDP) loss and lower deaths per million compared with Brazil. The magnitude of the trade-offs differed across countries. Reducing GDP loss at the margin by 1 percent would have increased daily deaths by 0.5 per million in Argentina but only 0.3 per million in Brazil. We observed an increase in poverty rates related to the stringency of public health and social measures but no significant income-loss differences by sex. Our results indicate that the economic impact of COVID-19 was uneven across countries as a result of different pandemic trajectories, public health and social measures, and vaccination uptake, as well as socioeconomic differences and fiscal responses. Policy makers need to be informed about the trade-offs to make strategic decisions to save lives and livelihoods

    Making visible the cost of informal caregivers’ time in Latin America : a case study for major cardiovascular, cancer and respiratory diseases in eight countries

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    BACKGROUND: Informal care is a key element of health care and well-being for society, yet it is scarcely visible and rarely studied in health economic evaluations. This study aims to estimate the time use and cost associated with informal care for cardiovascular diseases, pneumonia and ten different cancers in eight Latin American countries (Argentina, Brazil, Chile, Colombia, Costa Rica, Ecuador, Mexico and Peru). METHODS: We carried out an exhaustive literature review on informal caregivers' time use, focusing on the selected diseases. We developed a survey for professional caregivers and conducted expert interviews to validate this data in the local context. We used an indirect estimate through the interpolation of the available data, for those cases in which we do not found reliable information. We used the proxy good method to estimate the monetary value of the use of time of informal care. National household surveys databases were processed to obtain the average wage per hour of a proxy of informal caregiver. Estimates were expressed in 2020 US dollars. RESULTS: The study estimated approximately 1,900 million hours of informal care annually and $ 4,300 million per year in average informal care time cost for these fifteen diseases and eight countries analyzed. Cardiovascular diseases accounted for an informal care burden that ranged from 374 to 555 h per year, while cancers varied from 512 to 1,825 h per year. The informal care time cost share on GDP varied from 0.26% (Mexico) to 1.38% (Brazil), with an average of 0.82% in the studied American countries. Informal care time cost represents between 16 and 44% of the total economic cost (direct medical and informal care cost) associated with health conditions. CONCLUSIONS: The study shows that there is a significant informal care economic burden -frequently overlooked- in different chronic and acute diseases in Latin American countries; and highlights the relevance of including the economic value of informal care in economic evaluations of healthcare

    The health, economic and social burden of smoking in Argentina, and the impact of increasing tobacco taxes in a context of illicit trade

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    Tobacco tax increases, the most cost-effective measure in reducing consumption, remain underutilized in low and middle-income countries. This study estimates the health and economic burden of smoking in Argentina and forecasts the benefits of tobacco tax hikes, accounting for the potential effects of illicit trade. Using a probabilistic Markov microsimulation model, this study quantifies smoking-related deaths, health events, and societal costs. The model also estimates the health and economic benefits of different increases in the price of cigarettes through taxes. Annually, smoking causes 45,000 deaths and 221,000 health events in Argentina, costing USD 2782 million in direct medical expenses, USD 1470 million in labor productivity loss costs, and USD 1069 million in informal care costs-totaling 1.2% of the national gross domestic product. Even in a scenario that considers illicit trade of tobacco products, a 50% cigarette price increase through taxes could yield USD 8292 million in total economic benefits accumulated over a decade. Consequently, raising tobacco taxes could significantly reduce the health and economic burdens of smoking in Argentina while increasing fiscal revenue
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