Cost-Effectiveness of Breast Cancer Early Detection Program in Low- and Middle-Income Countries: A Systematic Review

Modelling the health, financial protection and equity impacts of upscaling the ACT NOW early intervention breast cancer pilot program in the Philippines: an extended cost-effectiveness analysis

INTRODUCTION

Women in the Philippines experience significant health and economic burdens of breast cancer. The Philippines has reformed financial protection for breast cancer but does not have a national early detection and treatment programme. This study aims to model the health and economic impacts of ACT NOW (a pilot breast cancer programme that navigates women through free early detection to treatment) through an extended cost-effectiveness analysis.

METHODS

A microsimulation decision tree model was used to model the ACT NOW intervention (including annual clinical breast examination (CBE) and biannual breast ultrasound for women at high risk of breast cancer) over 5 years for healthy women 40-69 years old. Outcomes included health gains (breast cancer deaths saved), financial protection (financial catastrophes saved) and incremental cost-effectiveness ratios (ICER) (cost per disability-adjusted life year (DALY) saved). Outcomes were stratified by income group. Probabilistic, one-way sensitivity and scenario analyses explored uncertainty.

RESULTS

Over 5 years, the ACT NOW intervention is cost-effective with an ICER of PHP60 711 (USD1098) (average incremental cost PHP743 [95% UI 424-960] and DALYs saved 0.01 [95% UI 0.01-0.02], below Philippines 2022 gross domestic product per capita PHP178 751). Per 100 000 women, 57 deaths and eight financial catastrophes were saved. Cost-effectiveness did not vary significantly by income, but higher income groups incurred greater costs and lower DALYs. Results were sensitive to proportion of late-stage breast cancers post intervention, treatment adherence, intervention costs and downstaging effectiveness. Trade-offs are apparent between government contributions to financial protection and rates of financial catastrophe.

CONCLUSIONS

Early detection interventions (annual CBE, biannual breast ultrasound if at high risk of breast cancer) are likely to be cost-effective, reduce breast cancer-related mortality through detection at earlier stages and modestly effective in reducing the incidence of financial catastrophe. Further research is required to establish the best implementation model to pursue full implementation and ways of designing equity-based screening interventions.

Cost of illness of breast cancer in low- and middle-income countries: a systematic review

This systematic review explores the cost of illness (COI) studies on breast cancer in low- to middle-income countries (LMICs). Studies in Cochrane, Proquest Thesis, PubMed and Scopus were considered. The reporting criteria were evaluated using the Consolidated Health Economic Evaluation Reporting Standards (CHEERS) 2022 statement. Studies must (1) be peer-reviewed, (2) report cost data, and (3) be full-text articles. Non-English articles were excluded. Twelve studies were included. The identified costs were made constant to 2022 USD values for reporting and comparison across studies. Annual costs per patient varied from $195 to $11,866 direct medical costs, $201 to $2233 direct non-medical costs and $332 to $26,390 productivity losses were reported. Cost differences were due to the cost types and components in each study. Only three COI studies reported sensitivity analysis and discount rates. Hence, it is recommended that future COI studies include an analysis of correlation between cost components and other variables.

Possibilities and limits of modelling of long-range economic consequences of air pollution - A case study

Air pollution is the biggest environmental problem in modern societies, causing considerable health damage and requiring substantial financial resources for health care. The goal of the study is to demonstrate the adverse economic consequences of air pollution on example of a small, open Central European country, Hungary, and to provide quantified financial arguments for macroeconomic decision-making for the development of a long-term energy strategy. On the basis of the Cobb-Douglas production function and Solow-Swann model of dynamic economic systems a simple and robust model was constructed to estimate and predict economic losses, caused by the pollution. On base of results it is obvious, that on base of macroeconomic theory and combination of various, publicly available, quality-controlled statistical resources quantifiable models can be constructed to characterise the economic consequences of air pollution, but it should be taken into consideration, that the reliability of economic models considerably depends on their initial parameters and practical validity of assumptions, based on which the underlying economic theories were built. The most important economic burden of air pollution is caused by the loss of working-age population, resulting in a decrease of 4.1-9.4 % a year in Gross Domestic Product (GDP) in the next fifty years. The additional burden of health care costs amounts to 0.1 % of GDP. Reducing air pollution is not only a quality of life improvement but also an investment into the economic development. Notwithstanding of statistical biases it could be proven the importance of combination health economic and econometric methods in preparation of more efficient environmental-related socio-economic decisions.