The economic benefits of increasing breastfeeding rates in Spain.

Background: Interventions aimed at promoting breastfeeding rates are among the most effective possible health policies available, with an estimated return of US$35 per dollar invested. Indeed, some authors found that a 10% increase in exclusive breastfeeding rates in the first two years of life led to a reduction in treatment costs of US$312 million in the US, US$7.8 million in the UK, US$30 million in China, and US$1.

Lowering the 'floor' of the SF-6D scoring algorithm using a lottery equivalent method.

This paper presents a new scoring algorithm for the SF-6D, one of the most popular preference-based health status measures. Previous SF-6D value sets have a minimum (a floor), which is substantially higher than the lowest value generated by the EQ-5D model. Our algorithm expands the range of SF-6D utility scores in such a way that the floor is significantly lowered.

Inverse probability weighted estimation of social tariffs: an illustration using the SF-6D value sets.

This paper presents a novel approach to model health state valuations using inverse probability weighting techniques. Our approach makes no assumption on the distribution of health state values, accommodates covariates in a flexible way, eschews parametric assumptions on the relationship between the outcome and the covariates, allows for an undetermined amount of heterogeneity in the estimates and it formally tests and corrects for sample selection biases. The proposed model is semi-parametrically estimated and it is illustrated with health state valuation data collected for Spain using the SF-6D descriptive system.