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Identification of Unmet Healthcare Needs: A National Survey in Thailand

OBJECTIVES: This study examined demographic factors hampering access to healthcare at hospitals and suggests policy approaches to improve healthcare management in Thailand. METHODS: The data for the study were drawn from a health and welfare survey conducted by the National Statistical Office of Tha...

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Autor principal: Chongthawonsatid, Sukanya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society for Preventive Medicine 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8046608/
https://www.ncbi.nlm.nih.gov/pubmed/33845533
http://dx.doi.org/10.3961/jpmph.20.318
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author Chongthawonsatid, Sukanya
author_facet Chongthawonsatid, Sukanya
author_sort Chongthawonsatid, Sukanya
collection PubMed
description OBJECTIVES: This study examined demographic factors hampering access to healthcare at hospitals and suggests policy approaches to improve healthcare management in Thailand. METHODS: The data for the study were drawn from a health and welfare survey conducted by the National Statistical Office of Thailand in 2017. The population-based health and welfare survey was systematically carried out by skilled interviewers, who polled 21 519 384 individuals. The independent variables related to demographic data (age, sex, religion, marital status, education, occupation, and area of residence), chronic diseases, and health insurance coverage. The dependent variable was the degree of access to healthcare. Multiple logistic regression analysis was subsequently performed on the variables found to be significant in the univariate analysis. RESULTS: Only 2.5% of the population did not visit a hospital when necessary for outpatient-department treatment, hospitalization, or the provision of oral care. The primary reasons people gave for not availing themselves of the services offered by government hospitals when they were ill were—in descending order of frequency—insufficient time to seek care, long hospital queues, travel inconvenience, a lack of hospital beds, unavailability of a dentist, not having someone to accompany them, and being unable to pay for the transportation costs. Multiple logistic regression analysis showed that failure to access the health services provided at hospitals was associated with demographic, educational, occupational, health welfare, and geographic factors. CONCLUSIONS: Accessibility depends not only on health and welfare benefit coverage, but also on socioeconomic factors and the degree of convenience associated with visiting a hospital.
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spelling pubmed-80466082021-04-22 Identification of Unmet Healthcare Needs: A National Survey in Thailand Chongthawonsatid, Sukanya J Prev Med Public Health Original Article OBJECTIVES: This study examined demographic factors hampering access to healthcare at hospitals and suggests policy approaches to improve healthcare management in Thailand. METHODS: The data for the study were drawn from a health and welfare survey conducted by the National Statistical Office of Thailand in 2017. The population-based health and welfare survey was systematically carried out by skilled interviewers, who polled 21 519 384 individuals. The independent variables related to demographic data (age, sex, religion, marital status, education, occupation, and area of residence), chronic diseases, and health insurance coverage. The dependent variable was the degree of access to healthcare. Multiple logistic regression analysis was subsequently performed on the variables found to be significant in the univariate analysis. RESULTS: Only 2.5% of the population did not visit a hospital when necessary for outpatient-department treatment, hospitalization, or the provision of oral care. The primary reasons people gave for not availing themselves of the services offered by government hospitals when they were ill were—in descending order of frequency—insufficient time to seek care, long hospital queues, travel inconvenience, a lack of hospital beds, unavailability of a dentist, not having someone to accompany them, and being unable to pay for the transportation costs. Multiple logistic regression analysis showed that failure to access the health services provided at hospitals was associated with demographic, educational, occupational, health welfare, and geographic factors. CONCLUSIONS: Accessibility depends not only on health and welfare benefit coverage, but also on socioeconomic factors and the degree of convenience associated with visiting a hospital. Korean Society for Preventive Medicine 2021-03 2021-03-04 /pmc/articles/PMC8046608/ /pubmed/33845533 http://dx.doi.org/10.3961/jpmph.20.318 Text en Copyright © 2021 The Korean Society for Preventive Medicine https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Chongthawonsatid, Sukanya
Identification of Unmet Healthcare Needs: A National Survey in Thailand
title Identification of Unmet Healthcare Needs: A National Survey in Thailand
title_full Identification of Unmet Healthcare Needs: A National Survey in Thailand
title_fullStr Identification of Unmet Healthcare Needs: A National Survey in Thailand
title_full_unstemmed Identification of Unmet Healthcare Needs: A National Survey in Thailand
title_short Identification of Unmet Healthcare Needs: A National Survey in Thailand
title_sort identification of unmet healthcare needs: a national survey in thailand
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8046608/
https://www.ncbi.nlm.nih.gov/pubmed/33845533
http://dx.doi.org/10.3961/jpmph.20.318
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