2023
DOI: 10.1080/23288604.2023.2183552
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A Gender-Based and Quasi-Experimental Study of the Catastrophic and Impoverishing Health-Care Expenditures in Mexican Households with Elderly Members, 2000-2020

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Cited by 7 publications
(9 citation statements)
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“…Following previous studies [ 29 , 37 - 43 ], we included several characteristics in our multivariate analysis at different levels: head of household: age (in years), sex (women = 1, men = 0), schooling level (none, elementary, secondary, high school, and college), employment during the last month (yes = 1, no = 0), and marital status (married/free union, divorced/separated/widowed, and single). Household characteristics: indigenous status (yes = 1, no = 0), composition (unipersonal, nuclear, extended, or composited), number of equivalent adults [ 44 ], the proportion of family members aged 0-5 or ≥65 years and with a disability, a factorial asset and housing material standardised index as a measure of socioeconomic status [ 45 ], where the higher values indicate a greater number of assets and better housing conditions, and participation in any government conditional/non-conditional transfers program.…”
Section: Methodsmentioning
confidence: 89%
See 1 more Smart Citation
“…Following previous studies [ 29 , 37 - 43 ], we included several characteristics in our multivariate analysis at different levels: head of household: age (in years), sex (women = 1, men = 0), schooling level (none, elementary, secondary, high school, and college), employment during the last month (yes = 1, no = 0), and marital status (married/free union, divorced/separated/widowed, and single). Household characteristics: indigenous status (yes = 1, no = 0), composition (unipersonal, nuclear, extended, or composited), number of equivalent adults [ 44 ], the proportion of family members aged 0-5 or ≥65 years and with a disability, a factorial asset and housing material standardised index as a measure of socioeconomic status [ 45 ], where the higher values indicate a greater number of assets and better housing conditions, and participation in any government conditional/non-conditional transfers program.…”
Section: Methodsmentioning
confidence: 89%
“…The results of this study have some limitations. First, although the estimated models considered an exhaustive set of predictors for the outcomes of interest [ 29 , 37 - 43 ], this analysis is subject to the limitations of any observational study (i.e. biases due to omitted variables).…”
Section: Discussionmentioning
confidence: 99%
“…Therefore, prompt recognition of chronic conditions and targeted surveillance and screening of diseases with high prevalence rates will markedly decelerate the advancement of chronic illnesses, diminish the occurrence of terminal conditions, curtail healthcare expenses and considerably augment the standard of living of patients. 6 , 7 …”
Section: Introductionmentioning
confidence: 99%
“…Other studies have looked at single countries, examined COVID-19 care spending, or only assessed OOP spending (but not CHE). 4 , 6 , 7 , 11 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 The absence of cross-country comparison of 2020 CHE limits understanding of health system resilience and the adaptation of policies to address financial hardship going forward.…”
Section: Introductionmentioning
confidence: 99%