Related Experiment Video
Updated: Apr 12, 2026

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
Published on: January 8, 2020
Main determinants of catastrophic health expenditures: a Bayesian logit approach on Iranian household survey data
Ali Akbar Fazaeli1, Hossein Ghaderi, Amir Abbas Fazaeli
1Department of Health Economic, school of health management and information sciences, Iran University of Medical Sciences, Tehran. Iran. afazaeli83@gmail.com.
Background:
During recent decades, increase in both health care expenditures and improvement of the awareness as well as health expectations have created some problems with regard to finance healthcare expenditures so that the issue of health financing by households has been determined as a major challenge in health sector. According to the definition by the World Health Organization, catastrophic health expenditure is considered if financial contribution for health service is more than 40% of income remaining after subsistence needs have been met.
Objectives:
The purpose of our study was determination of Main factors on catastrophic health expenditures in Iranian households.
Patients & Methods:
In this study, using an econometrics Bayesian logit model, determinants of the appearance of catastrophic health expenditure based on household budget data collected in 2010 were evaluated.
Results:
Among Iranian households, the following groups were more likely to encounter with unsustainable health expenditures: rural households, households with the numbers of the elderly more than 65 years, illiterate householders, unemployed householders, households with some unemployed persons, households in upper rank and households with larger equivalent household size were higher than the average of community could significantly predict catastrophic health expenditures.
Conclusions:
About 2.1% of households were faced with catastrophic health expenditures in 2010. Thus, the implemented policies could not make considerable and significant change in improving justice in financing in health systems.
More Related Videos
Related Concept Videos
Parametric Survival Analysis: Weibull and Exponential Methods
Weibull Distribution
The Weibull distribution is a flexible model used in parametric survival analysis. It can handle both increasing and decreasing hazard rates, depending on its shape parameter...
Actuarial Approach
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
Hazard Rate
Introduction To Survival Analysis
The primary goal of survival analysis is to estimate survival time—the time...
Factors Affecting Illness
For instance, risk factors are connected to illness,...

