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Predictors of unmet health care needs in Serbia; Analysis based on EU-SILC data

Unmet health care needs have been designated as an indicator of equality in access to health care, which provides insight into specific barriers faced by respondents when they need medical services. The purpose of this research was to analyze demographic, socioeconomic, regional characteristics and...

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Autores principales: Popovic, Natasa, Terzic-Supic, Zorica, Simic, Snezana, Mladenovic, Biljana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5678705/
https://www.ncbi.nlm.nih.gov/pubmed/29117216
http://dx.doi.org/10.1371/journal.pone.0187866
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author Popovic, Natasa
Terzic-Supic, Zorica
Simic, Snezana
Mladenovic, Biljana
author_facet Popovic, Natasa
Terzic-Supic, Zorica
Simic, Snezana
Mladenovic, Biljana
author_sort Popovic, Natasa
collection PubMed
description Unmet health care needs have been designated as an indicator of equality in access to health care, which provides insight into specific barriers faced by respondents when they need medical services. The purpose of this research was to analyze demographic, socioeconomic, regional characteristics and perception of the health status; and identify predictors of unmet health care needs and consequently determine the size of inequalities in the availability, accessibility and acceptability of health care. The cross-sectional study obtained data from the Survey on Income and Living Conditions in the Republic of Serbia in 2014, based on a sample of 20,069 respondents over 16 years. Data was collected by using a household questionnaire and a questionnaire for individuals. Multivariate logistic regressions were applied. Almost every seventh citizen (14.9%) reported unmet health care needs. Predictors of unmet needs, for overall reasons, which increase the likelihood of their emergence included: self-perceived health status as very bad (OR = 6.37), divorced or widower/widow (OR = 1.31), living in the Sumadija region or Western Serbia (OR = 1.54) and belonging to the age group of 27 to 44 (OR = 1.55) or 45 to 64 years (OR = 1.52). The probability for those least reporting unmet health care needs included female patients (OR = 0.81), those with higher education (OR = 0.77), those who belong to the richest quintile (OR = 0.46) and who are unemployed (OR = 0.64). Reasons for unmet needs that indicate the responsibility of the health system amounted to 58.2% and reasons which represent preferences of the respondents amounted to 41.7%. The most frequent reason for unmet needs was financial (36.6%), and the wish to wait and see if the problem got better on its own (18.3%). Health policy should adopt a multidimensional approach and develop incentives for the appropriate use of health services and should eliminate barriers which restrict the accessibility and availability.
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spelling pubmed-56787052017-11-18 Predictors of unmet health care needs in Serbia; Analysis based on EU-SILC data Popovic, Natasa Terzic-Supic, Zorica Simic, Snezana Mladenovic, Biljana PLoS One Research Article Unmet health care needs have been designated as an indicator of equality in access to health care, which provides insight into specific barriers faced by respondents when they need medical services. The purpose of this research was to analyze demographic, socioeconomic, regional characteristics and perception of the health status; and identify predictors of unmet health care needs and consequently determine the size of inequalities in the availability, accessibility and acceptability of health care. The cross-sectional study obtained data from the Survey on Income and Living Conditions in the Republic of Serbia in 2014, based on a sample of 20,069 respondents over 16 years. Data was collected by using a household questionnaire and a questionnaire for individuals. Multivariate logistic regressions were applied. Almost every seventh citizen (14.9%) reported unmet health care needs. Predictors of unmet needs, for overall reasons, which increase the likelihood of their emergence included: self-perceived health status as very bad (OR = 6.37), divorced or widower/widow (OR = 1.31), living in the Sumadija region or Western Serbia (OR = 1.54) and belonging to the age group of 27 to 44 (OR = 1.55) or 45 to 64 years (OR = 1.52). The probability for those least reporting unmet health care needs included female patients (OR = 0.81), those with higher education (OR = 0.77), those who belong to the richest quintile (OR = 0.46) and who are unemployed (OR = 0.64). Reasons for unmet needs that indicate the responsibility of the health system amounted to 58.2% and reasons which represent preferences of the respondents amounted to 41.7%. The most frequent reason for unmet needs was financial (36.6%), and the wish to wait and see if the problem got better on its own (18.3%). Health policy should adopt a multidimensional approach and develop incentives for the appropriate use of health services and should eliminate barriers which restrict the accessibility and availability. Public Library of Science 2017-11-08 /pmc/articles/PMC5678705/ /pubmed/29117216 http://dx.doi.org/10.1371/journal.pone.0187866 Text en © 2017 Popovic et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Popovic, Natasa
Terzic-Supic, Zorica
Simic, Snezana
Mladenovic, Biljana
Predictors of unmet health care needs in Serbia; Analysis based on EU-SILC data
title Predictors of unmet health care needs in Serbia; Analysis based on EU-SILC data
title_full Predictors of unmet health care needs in Serbia; Analysis based on EU-SILC data
title_fullStr Predictors of unmet health care needs in Serbia; Analysis based on EU-SILC data
title_full_unstemmed Predictors of unmet health care needs in Serbia; Analysis based on EU-SILC data
title_short Predictors of unmet health care needs in Serbia; Analysis based on EU-SILC data
title_sort predictors of unmet health care needs in serbia; analysis based on eu-silc data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5678705/
https://www.ncbi.nlm.nih.gov/pubmed/29117216
http://dx.doi.org/10.1371/journal.pone.0187866
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