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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Main Author: Sukanya Chongthawonsatid
Format: Article
Language:English
Published: Korean Society for Preventive Medicine 2021-03-01
Series:Journal of Preventive Medicine and Public Health
Subjects:
Online Access:http://www.jpmph.org/upload/pdf/jpmph-20-318.pdf
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spelling doaj-5f4f6f1162f6440982f9a32e9057e3512021-04-12T23:42:30ZengKorean Society for Preventive MedicineJournal of Preventive Medicine and Public Health1975-83752233-45212021-03-0154212913610.3961/jpmph.20.3182139Identification of Unmet Healthcare Needs: A National Survey in ThailandSukanya ChongthawonsatidObjectives: 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.http://www.jpmph.org/upload/pdf/jpmph-20-318.pdfaccessibilitydemographyhealthcare surveyshospitalsthailand
collection DOAJ
language English
format Article
sources DOAJ
author Sukanya Chongthawonsatid
spellingShingle Sukanya Chongthawonsatid
Identification of Unmet Healthcare Needs: A National Survey in Thailand
Journal of Preventive Medicine and Public Health
accessibility
demography
healthcare surveys
hospitals
thailand
author_facet Sukanya Chongthawonsatid
author_sort Sukanya Chongthawonsatid
title Identification of Unmet Healthcare Needs: A National Survey in Thailand
title_short 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_sort identification of unmet healthcare needs: a national survey in thailand
publisher Korean Society for Preventive Medicine
series Journal of Preventive Medicine and Public Health
issn 1975-8375
2233-4521
publishDate 2021-03-01
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.
topic accessibility
demography
healthcare surveys
hospitals
thailand
url http://www.jpmph.org/upload/pdf/jpmph-20-318.pdf
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