2021
DOI: 10.26633/rpsp.2021.77
|View full text |Cite
|
Sign up to set email alerts
|

Ethnic-racial inequity in health insurance in Colombia: a cross-sectional study

Abstract: Objective. Characterize the relationship between ethnic-racial inequity and type of health insurance in Colombia. Methods. Cross-sectional study based on data from the 2019 Quality of Life Survey. We analyzed the type of health insurance (contributory, subsidized, or none) and its relationship to ethnic-racial status and predisposing variables (sex, age, marital status), demographic variables (area and region of residence), and socioeconomic variables (education, type of employment, income, and unmet basic nee… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3

Citation Types

0
3
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
6

Relationship

0
6

Authors

Journals

citations
Cited by 6 publications
(3 citation statements)
references
References 25 publications
0
3
0
Order By: Relevance
“…One summary of the measures that have been commonly used includes life expectancy; mortality (from specific diseases); access, location, and quality differences for facilities; maternal and infant health and mortality measures; and measures of sanitation and nutrition [ 31 ]. Other studies have taken different approaches, such as evaluating health insurance coverage among demographic groups [ 32 ] and using Likert scales for self-perceived health, such as the WHO five-item instrument in which respondents answer a single question giving a rating of their own health on a scale ranging from excellent to poor [ 33 ].…”
Section: Discussionmentioning
confidence: 99%
“…One summary of the measures that have been commonly used includes life expectancy; mortality (from specific diseases); access, location, and quality differences for facilities; maternal and infant health and mortality measures; and measures of sanitation and nutrition [ 31 ]. Other studies have taken different approaches, such as evaluating health insurance coverage among demographic groups [ 32 ] and using Likert scales for self-perceived health, such as the WHO five-item instrument in which respondents answer a single question giving a rating of their own health on a scale ranging from excellent to poor [ 33 ].…”
Section: Discussionmentioning
confidence: 99%
“…Geographic inequalities in access still persist, although most states already provide almost all procedures. Thus, in Vianna’s words, the “everything for everybody” gives way to the “best for everybody”, granting benefits to all and not hurting the equality principle [ 19 , 20 ].…”
Section: Discussionmentioning
confidence: 99%
“…This finding provides strong data, as this is the capital city with better health access and reporting systems. Therefore, the general decreasing risk in most departments in Colombia, one of the endemic countries, may be strongly affected by the underreporting of the disease throughout the country, suggesting that the risk may be even greater than expected, for example, inadequate reporting technique could explain that San Andrés does not have new cases reported [ 45 , 46 ].…”
Section: Discussionmentioning
confidence: 99%