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Prevalence and predictive factors for renouncing medical care in poor populations of Cayenne, French Guiana

BACKGROUND: Access to health care is a global public problem. In French Guiana, there exists social inequalities which are specially marked amongst immigrants who make up a third of the population. Health care inequalities are prevalent. The objective of this study was to determine factors associate...

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Autores principales: Valmy, Larissa, Gontier, Barbara, Parriault, Marie Claire, Van Melle, Astrid, Pavlovsky, Thomas, Basurko, Célia, Grenier, Claire, Douine, Maylis, Adenis, Antoine, Nacher, Mathieu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4731954/
https://www.ncbi.nlm.nih.gov/pubmed/26822003
http://dx.doi.org/10.1186/s12913-016-1284-y
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author Valmy, Larissa
Gontier, Barbara
Parriault, Marie Claire
Van Melle, Astrid
Pavlovsky, Thomas
Basurko, Célia
Grenier, Claire
Douine, Maylis
Adenis, Antoine
Nacher, Mathieu
author_facet Valmy, Larissa
Gontier, Barbara
Parriault, Marie Claire
Van Melle, Astrid
Pavlovsky, Thomas
Basurko, Célia
Grenier, Claire
Douine, Maylis
Adenis, Antoine
Nacher, Mathieu
author_sort Valmy, Larissa
collection PubMed
description BACKGROUND: Access to health care is a global public problem. In French Guiana, there exists social inequalities which are specially marked amongst immigrants who make up a third of the population. Health care inequalities are prevalent. The objective of this study was to determine factors associated with why health care amongst the poor population of Cayenne was renounced. The study was cross sectional. It focused on knowledge, attitudes, practices and beliefs of the population living in poor neighborhoods of the Cayenne area. METHODS: Populations coming at the Red Cross mobile screening unit in poor urban areas of Cayenne were surveyed from July 2013 to June 2014. Structured questionnaires consisted of 93 questions. Written informed consent was requested at the beginning of the questionnaire. The predictors for renouncing medical care were determined using logistic regression models and tree analysis. RESULTS: Twenty percent of persons had renounced care. Logistic regression showed that renouncement of health care was negatively associated with having no regular physician Adjusted Odds Ratio (AOR) = 0.43 (95 % CI = 0.24–0.79) and positively associated with being embarrassed to ask certain questions AOR = 6.81 (95 % CI = 3.98–11.65) and having been previously refused health care by a doctor AOR = 3.08 (95 % CI = 1.43–6.65). Tree analysis also showed that three of these variables were linked to renouncement, with feeling shy to ask certain questions as the first branching. CONCLUSION: Although most people felt it was easy to see a doctor, one in five had renounced health care. The variables identified by the models suggest vulnerable persons generally had previous negative encounters with the health system and felt unwanted or non eligible for healthcare. Health care mediation and welcoming staff may be simple solutions to the above problems which were underscored in our observations.
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spelling pubmed-47319542016-01-30 Prevalence and predictive factors for renouncing medical care in poor populations of Cayenne, French Guiana Valmy, Larissa Gontier, Barbara Parriault, Marie Claire Van Melle, Astrid Pavlovsky, Thomas Basurko, Célia Grenier, Claire Douine, Maylis Adenis, Antoine Nacher, Mathieu BMC Health Serv Res Research Article BACKGROUND: Access to health care is a global public problem. In French Guiana, there exists social inequalities which are specially marked amongst immigrants who make up a third of the population. Health care inequalities are prevalent. The objective of this study was to determine factors associated with why health care amongst the poor population of Cayenne was renounced. The study was cross sectional. It focused on knowledge, attitudes, practices and beliefs of the population living in poor neighborhoods of the Cayenne area. METHODS: Populations coming at the Red Cross mobile screening unit in poor urban areas of Cayenne were surveyed from July 2013 to June 2014. Structured questionnaires consisted of 93 questions. Written informed consent was requested at the beginning of the questionnaire. The predictors for renouncing medical care were determined using logistic regression models and tree analysis. RESULTS: Twenty percent of persons had renounced care. Logistic regression showed that renouncement of health care was negatively associated with having no regular physician Adjusted Odds Ratio (AOR) = 0.43 (95 % CI = 0.24–0.79) and positively associated with being embarrassed to ask certain questions AOR = 6.81 (95 % CI = 3.98–11.65) and having been previously refused health care by a doctor AOR = 3.08 (95 % CI = 1.43–6.65). Tree analysis also showed that three of these variables were linked to renouncement, with feeling shy to ask certain questions as the first branching. CONCLUSION: Although most people felt it was easy to see a doctor, one in five had renounced health care. The variables identified by the models suggest vulnerable persons generally had previous negative encounters with the health system and felt unwanted or non eligible for healthcare. Health care mediation and welcoming staff may be simple solutions to the above problems which were underscored in our observations. BioMed Central 2016-01-28 /pmc/articles/PMC4731954/ /pubmed/26822003 http://dx.doi.org/10.1186/s12913-016-1284-y Text en © Valmy et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Valmy, Larissa
Gontier, Barbara
Parriault, Marie Claire
Van Melle, Astrid
Pavlovsky, Thomas
Basurko, Célia
Grenier, Claire
Douine, Maylis
Adenis, Antoine
Nacher, Mathieu
Prevalence and predictive factors for renouncing medical care in poor populations of Cayenne, French Guiana
title Prevalence and predictive factors for renouncing medical care in poor populations of Cayenne, French Guiana
title_full Prevalence and predictive factors for renouncing medical care in poor populations of Cayenne, French Guiana
title_fullStr Prevalence and predictive factors for renouncing medical care in poor populations of Cayenne, French Guiana
title_full_unstemmed Prevalence and predictive factors for renouncing medical care in poor populations of Cayenne, French Guiana
title_short Prevalence and predictive factors for renouncing medical care in poor populations of Cayenne, French Guiana
title_sort prevalence and predictive factors for renouncing medical care in poor populations of cayenne, french guiana
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4731954/
https://www.ncbi.nlm.nih.gov/pubmed/26822003
http://dx.doi.org/10.1186/s12913-016-1284-y
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