Characterization of the population affiliated to the subsidized health insurance scheme in Colombia: a systematic review and meta-analysis

Some reports suggest there are differences in health needs between the population affiliated to the subsidized health insurance scheme (SS) and those affiliated to the contributory health insurance scheme (CS) in Colombia. The objective of this study was to identify the epidemiological profile of th...

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Bibliographic Details
Published in:International journal for equity in health 2023-02, Vol.22 (1), p.28-23, Article 28
Main Authors: Mora-Moreo, Laura, Estrada-Orozco, Kelly, Espinosa, Oscar, Melgarejo, Lorena Mesa
Format: Article
Language:English
Subjects:
Analysis
Child, Preschool
Children
Colombia - epidemiology
Communicable diseases
Confidence intervals
Decision making
Demographic aspects
Economic aspects
Epidemiological factors
Epidemiology
Female
Finance
Global health
Health care access
Health care disparities
Health insurance
Health promotion
Health services
Humans
Incidence
Insurance
Insurance, Health
Literature reviews
Meta-analysis
Methods
Mortality
Pregnancy
Prevalence
Prevalence studies (Epidemiology)
Public health
Reviews
Risk Factors
Social aspects
Social determinants of health
Systematic Review
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Summary:Some reports suggest there are differences in health needs between the population affiliated to the subsidized health insurance scheme (SS) and those affiliated to the contributory health insurance scheme (CS) in Colombia. The objective of this study was to identify the epidemiological profile of the population affiliated to the SS in Colombia and to compare the main epidemiological features of the SS to the CS. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) methodology, the search was carried out from 1993, with no other restriction. The information was synthesized into five categories according to the most important risk populations. We estimated combined incidences from epidemiological surveillance data, prevalence ratio, and other measures to estimate the difference between the studied groups. A 95% confidence interval was considered. A random effects model was used weighted by the inverse of the variance of the cumulative incidence calculated for each disease. The risk of bias was assessed using the Joanna Briggs Institute's critical appraisal tools. A total of 16,236 articles were identified; 14,972 were excluded after title and abstract screening, 725 articles were verified as full text, and finally 268 articles were included. The relative risk of non-communicable and communicable diseases was lower in the SS than in the CS (RR: 0.37 and 0.72, respectively, p-value
ISSN:1475-9276
1475-9276
DOI:10.1186/s12939-022-01818-x