Megan Ireland1, Maircon Batista Ribeiro2, Mohammed Ali1. 1. International Health Programme, School of Nursing, Midwifery and Paramedicine, Curtin University, Perth, WA, Australia. 2. Faculdade de Ciências Exatas, Universidade de Brasília, Brasília, Distrito Federal, Brasil.
Abstract
BACKGROUND: Brazil has a highly stratified population with large socioeconomic disparities, as evidenced by marked differentiation in health status and access to health services by the population. In addition, the fact that the universal national healthcare system and a liberalised private care model exist side by side leads to increasingly inequitable health outcomes. AIMS: This study aims to appraise the equity of access to the University Hospital in Brasilia, Brazil, in 2013. METHODS: This study was a quantitative analysis of hospital admissions data. The sample included all patients admitted over a six-month period in 2013. Patient data was crossed with socioeconomic data (income and private health insurance status). Frequency tabulations and chi-square calculations were used to describe the patient mix, observe trends and appraise equity of admissions. RESULTS: Analysis of the data showed that the number of patients from each neighbourhood relative to the neighbourhood population was equitable. However, when assessed on the basis of insurance status (i.e., deducting the population covered by private health insurance), a high level of inequity was detected (chi-square 71.828, df 3, p<0,0001) whereby patients from wealthier neighbourhoods were overrepresented compared to those from poorer neighbourhoods. CONCLUSION: This study has shown that access to the University Hospital in Brasilia is not equitable when individual access to private healthcare is accounted for. The results show that dual access to both public and private healthcare is likely to be common, increasing some of the population's access to healthcare while decreasing access for others, and therefore contributing to inequity of access to healthcare services.
BACKGROUND: Brazil has a highly stratified population with large socioeconomic disparities, as evidenced by marked differentiation in health status and access to health services by the population. In addition, the fact that the universal national healthcare system and a liberalised private care model exist side by side leads to increasingly inequitable health outcomes. AIMS: This study aims to appraise the equity of access to the University Hospital in Brasilia, Brazil, in 2013. METHODS: This study was a quantitative analysis of hospital admissions data. The sample included all patients admitted over a six-month period in 2013. Patient data was crossed with socioeconomic data (income and private health insurance status). Frequency tabulations and chi-square calculations were used to describe the patient mix, observe trends and appraise equity of admissions. RESULTS: Analysis of the data showed that the number of patients from each neighbourhood relative to the neighbourhood population was equitable. However, when assessed on the basis of insurance status (i.e., deducting the population covered by private health insurance), a high level of inequity was detected (chi-square 71.828, df 3, p<0,0001) whereby patients from wealthier neighbourhoods were overrepresented compared to those from poorer neighbourhoods. CONCLUSION: This study has shown that access to the University Hospital in Brasilia is not equitable when individual access to private healthcare is accounted for. The results show that dual access to both public and private healthcare is likely to be common, increasing some of the population's access to healthcare while decreasing access for others, and therefore contributing to inequity of access to healthcare services.
Entities:
Keywords:
Brazil; Equity; Sistema Único de Saúde; patient admission
Authors: Cesar G Victora; Mauricio L Barreto; Maria do Carmo Leal; Carlos A Monteiro; Maria Ines Schmidt; Jairnilson Paim; Francisco I Bastos; Celia Almeida; Ligia Bahia; Claudia Travassos; Michael Reichenheim; Fernando C Barros Journal: Lancet Date: 2011-05-09 Impact factor: 79.321
Authors: Irene Garcia-Subirats; Ingrid Vargas; Amparo Susana Mogollón-Pérez; Pierre De Paepe; Maria Rejane Ferreira da Silva; Jean Pierre Unger; Carme Borrell; Maria Luisa Vázquez Journal: Int J Equity Health Date: 2014-01-31