Cost-Effectiveness and Budget Impact Analysis of Primary Screening With Human Papillomavirus Test With Genotyping in Argentina

Garay, Osvaldo Ulises; Furcada, Joaquín Maritano; Ayerbe, Francisco; Rave, Ramiro A. Pena Requejo; Tatti, Sílvio

doi:10.1016/j.vhri.2021.07.004

Cited by 2 publications

(2 citation statements)

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“…This is informative for health systems monitoring and vigilance of population health, as multiple costly health interventions are developed over time to reduce these and other social gaps in healthcare. This is the case of population-based screening programs, which are highly expensive, but they have the potential of impacting positively in term of reducing health inequalities in health outcomes when effective coverage is achieved [39][40][41]. In this context, because preventive services also show inequalities of access, monitoring their use is essential for an adequate interpretation [42].…”

Section: Discussionmentioning

confidence: 99%

Health-related quality of life by household income in Chile: a concentration index decomposition analysis

Severino

Espinoza

Cabieses

2022

Int J Equity Health

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Background Health inequities have a profound impact on all dimensions of people’s lives, with invariably worse results among the most disadvantaged, transforming them into a more fragile and vulnerable population. These unfair inequalities also affect dimensions focused on subjectivity, such as health-related quality of life (HRQoL), which has been positioned, in recent decades, as an important outcome in health decision-making. The main objective of this study is to estimate socioeconomic inequality in HRQoL of Chilean by household income. Methods Secondary analysis of the National Health Survey (ENS 2016–2017, Chile). This survey includes a nationally representative, stratified, and multistage household sample of people aged 15 and above. Socioeconomic inequality in HRQoL (EQ5D) is estimated by the concentration index (CI) ranked by household income. Decomposition analysis is conducted to examine potential explanatory sociodemographic factors. Results The CI for household income inequality in HRQoL was -0.063. The lower the household income, the worse the HRQoL reported by in Chile. The decomposition analysis revealed that socioeconomic position contributes 75,7% to inequality in the quality of life, followed by educational level (21.8%), female gender (17.3%), and type of Health Insurance (15%), age (-19.7%) and residence (-10.8%). Less than 1% corresponds to the unexplained residual component. Conclusions Our findings suggest the existence of a disproportionate concentration of worse HRQoL in the most disadvantaged socioeconomic groups in Chile. This inequality is largely, yet not completely, associated with household income. Other significant factors associated with this inequality are education, gender, and healthcare insurance. These results suggest the need of strengthening efforts to reducing socioeconomic gaps in health outcomes in Chile, as a means to achieve social justice and equity in health and healthcare.

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Section: Discussionmentioning

confidence: 99%

Health-related quality of life by household income in Chile: a concentration index decomposition analysis

Severino

Espinoza

Cabieses

2022

Int J Equity Health

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“…Drawing on Argentina’s challenges related to high-inflation rates, we followed the approach used in other local BIAs [ 36 , 38 ] and decided to exclude inflationary factors from our results. It is important to mention that the ISPOR Task Force guidelines for BIA recommended inflation adjustments but did not provide specific guidance about how to handle this issue in practice.…”

Section: Discussionmentioning

confidence: 99%

Budget impact analysis of venetoclax for the management of acute myeloid leukemia from the perspective of the social security and the private sector in Argentina

Palacios,

Espinola,

Gonzalez

et al. 2024

PLoS ONE

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Objective This study aimed to estimate the budget impact of the incorporation of venetoclax for the treatment of patients with Acute Myeloid Leukemia (AML) over 75 years of age or those with comorbidities and contraindications for the use of intensive chemotherapy, from the perspective of the social security and the private third-party payers in Argentina. Methods A budget impact model was adapted to estimate the cost difference between the current scenario (azacitidine, decitabine and low doses of cytarabine) and the new scenario (incorporation of venetoclax) for a third-party payer over a time horizon of three years. Input parameters were obtained from a literature review, validated or complemented by expert opinion using a modified Panel Delphi approach. All direct medical costs were estimated by the micro-costing approach and were expressed in US dollars (USD) as of September 2020 (1 USD = 76.18 Argentine pesos). Results For a third-party payer with a cohort of 1,000,000 individuals covered, incorporating venetoclax was associated with an average budget impact per-member per-month (PMPM) of $0.11 USD for the social security sector and $0.07 USD for the private sector. The duration of treatment with venetoclax was the most influential parameter in the budget impact results. Conclusion The introduction of venetoclax was associated with a positive and slight budget impact. These findings are informative to support policy decisions aimed to expand the current treatment landscape of AML.

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Cost-Effectiveness and Budget Impact Analysis of Primary Screening With Human Papillomavirus Test With Genotyping in Argentina

Cited by 2 publications

References 51 publications

Health-related quality of life by household income in Chile: a concentration index decomposition analysis

Health-related quality of life by household income in Chile: a concentration index decomposition analysis

Budget impact analysis of venetoclax for the management of acute myeloid leukemia from the perspective of the social security and the private sector in Argentina

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