Literature DB >> 35608742

Disability specific equivalence scales: a case-control approach applied to the cost of acquired brain injuries.

Eleftherios Giovanis1, Martina Menon2, Federico Perali2.   

Abstract

This study estimates the household costs resulting from acquired brain injuries in terms of a reduction in the standard of living. The application uses primary data collected in the Verona and Florence provinces of Italy integrating highly detailed health information with information about consumption, income, wealth, time-use and relational well-being describing the standard of living. In general, the estimates of disability costs in previous studies are obtained from survey data without a specific focus on individuals with disabilities but collect information on the general health status. In contrast, this study exploits highly detailed information on a sample of "cases" with a disability, whose intensity is measured by the highly precise European quality of life measure-5 domain-5 (EQ-5D) instrument, to be compared with a sample of "control" formed by households without disabled members. The disability scales have been estimated using a Structural Equation Modelling (SEM) based procedure. We then implement interpersonal comparisons on the health income dimension in a theoretically plausible way, testing the independence hypothesis of equivalence scales. Our study finds that on average disabled households need an additional amount of about €1800 per month to reach the same standard of livings as the non-disabled households corresponding to a scale of 1.78.
© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Acquired brain injury; Disability costs; Equivalence scales; Interpersonal comparison; Standard of living; Structural equation modelling

Year:  2022        PMID: 35608742     DOI: 10.1007/s10754-022-09332-x

Source DB:  PubMed          Journal:  Int J Health Econ Manag        ISSN: 2199-9031


  32 in total

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8.  An Introduction to Propensity Score Methods for Reducing the Effects of Confounding in Observational Studies.

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9.  Variance estimation when using propensity-score matching with replacement with survival or time-to-event outcomes.

Authors:  Peter C Austin; Guy Cafri
Journal:  Stat Med       Date:  2020-02-28       Impact factor: 2.373

10.  Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity-score matched samples.

Authors:  Peter C Austin
Journal:  Stat Med       Date:  2009-11-10       Impact factor: 2.373

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