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X Demographics
Mendeley readers
| Title |
Efecto del Seguro Popular de Salud sobre los gastos catastróficos y empobrecedores en México, 2004-2012
|
|---|---|
| Published in |
Salud Pública de México, March 2018
|
| DOI | 10.21149/9064 |
| Pubmed ID | |
| Authors |
Felicia Marie Knaul, Héctor Arreola-Ornelas, Rebeca Wong, David G Lugo-Palacios, Oscar Méndez-Carniado |
| Abstract |
To determine the impact of Seguro Popular (SPS) on catastrophic and impoverishing household expenditures and on the financial protection of the Mexican health system. The propensity score matching (PSM) method was applied to the population affiliated to SPS to determine the program's attributable effect on health expenditure. This analysis uses the National Household Income and Expenditure Survey (ENIGH) during 2004-2012, conducted by Mexico's National Institute of Statistics andGeography (INEGI). It was found that SPS has a significant effect on reducing the likelihood that households will incur impoverishing expenditures. A negative effect on catastrophic expenditures was also found, but it was not statistically significant. This paper shows the effect that SPS, in particular health insurance, has as an instrument of financial protection. Future studies using longer periods of ENIGH data should analyze the persistence of high out-of-pocket expenditure. |
X Demographics
The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 7 | 44% |
| Spain | 1 | 6% |
| United Kingdom | 1 | 6% |
| Unknown | 7 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 15 | 94% |
| Scientists | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 55 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 18% |
| Student > Master | 10 | 18% |
| Student > Bachelor | 6 | 11% |
| Student > Doctoral Student | 4 | 7% |
| Student > Ph. D. Student | 4 | 7% |
| Other | 12 | 22% |
| Unknown | 9 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 24% |
| Social Sciences | 8 | 15% |
| Economics, Econometrics and Finance | 7 | 13% |
| Nursing and Health Professions | 5 | 9% |
| Engineering | 3 | 5% |
| Other | 6 | 11% |
| Unknown | 13 | 24% |