Analysis of dental services distribution in Malaysia: a geographic information systems – based approach

Objective: The aim of this study was to analyse, in detail, the distribution of primary dental clinics in relation to the Malaysian population and relative population wealth, to test the hypothesis that an uneven distribution of dental services exists in Malaysia. Method: This 2016 study located eve...

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Published in:International Dental Journal
Main Author: Md Bohari N.F.; Kruger E.; John J.; Tennant M.
Format: Article
Language:English
Published: Wiley-Blackwell Publishing Ltd 2019
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85058847830&doi=10.1111%2fidj.12454&partnerID=40&md5=baa73c87d6e34c4178195a0672e245c9
id 2-s2.0-85058847830
spelling 2-s2.0-85058847830
Md Bohari N.F.; Kruger E.; John J.; Tennant M.
Analysis of dental services distribution in Malaysia: a geographic information systems – based approach
2019
International Dental Journal
69
3
10.1111/idj.12454
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85058847830&doi=10.1111%2fidj.12454&partnerID=40&md5=baa73c87d6e34c4178195a0672e245c9
Objective: The aim of this study was to analyse, in detail, the distribution of primary dental clinics in relation to the Malaysian population and relative population wealth, to test the hypothesis that an uneven distribution of dental services exists in Malaysia. Method: This 2016 study located every dental practice in Malaysia (private and public) and mapped these practices against population, using Geographic Information Systems (GIS) tools. Population clusters within 5, 10 and 20 km of a dental clinic were identified, and clinic-to-population ratios were ascertained. Population data were obtained from the Population and Housing Census of Malaysia 2010. Population relative wealth was obtained from the 2014 Report on Household Income and Basic Amenities Survey for Malaysia. The physical address for each dental practice in Malaysia was gathered from the Official Portal of Ministry of Health Malaysia. All data for analysis were extracted from the integrated database in Quantum GIS (QGIS) into Microsoft Excel. Result: The population of Malaysia (24.9 million) was distributed across 127 districts, with 119 (94%) having at least one dental clinic. Sixty-four districts had fewer than 10 dental clinics, and 11.3% of Malaysians did not reside in the catchment of 20 km from any dental clinic. The total dental clinic-to-population ratio was 1:9,000: for public dental clinics it was 1:38,000 and for private clinics it was 1:13,000. Conclusion: Dental services were distributed relative to high population density, were unevenly distributed across Malaysia and the majority of people with the highest inaccessibility to a dental service resided in Malaysian Borneo. © 2018 FDI World Dental Federation
Wiley-Blackwell Publishing Ltd
00206539
English
Article
All Open Access; Bronze Open Access; Green Open Access
author Md Bohari N.F.; Kruger E.; John J.; Tennant M.
spellingShingle Md Bohari N.F.; Kruger E.; John J.; Tennant M.
Analysis of dental services distribution in Malaysia: a geographic information systems – based approach
author_facet Md Bohari N.F.; Kruger E.; John J.; Tennant M.
author_sort Md Bohari N.F.; Kruger E.; John J.; Tennant M.
title Analysis of dental services distribution in Malaysia: a geographic information systems – based approach
title_short Analysis of dental services distribution in Malaysia: a geographic information systems – based approach
title_full Analysis of dental services distribution in Malaysia: a geographic information systems – based approach
title_fullStr Analysis of dental services distribution in Malaysia: a geographic information systems – based approach
title_full_unstemmed Analysis of dental services distribution in Malaysia: a geographic information systems – based approach
title_sort Analysis of dental services distribution in Malaysia: a geographic information systems – based approach
publishDate 2019
container_title International Dental Journal
container_volume 69
container_issue 3
doi_str_mv 10.1111/idj.12454
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85058847830&doi=10.1111%2fidj.12454&partnerID=40&md5=baa73c87d6e34c4178195a0672e245c9
description Objective: The aim of this study was to analyse, in detail, the distribution of primary dental clinics in relation to the Malaysian population and relative population wealth, to test the hypothesis that an uneven distribution of dental services exists in Malaysia. Method: This 2016 study located every dental practice in Malaysia (private and public) and mapped these practices against population, using Geographic Information Systems (GIS) tools. Population clusters within 5, 10 and 20 km of a dental clinic were identified, and clinic-to-population ratios were ascertained. Population data were obtained from the Population and Housing Census of Malaysia 2010. Population relative wealth was obtained from the 2014 Report on Household Income and Basic Amenities Survey for Malaysia. The physical address for each dental practice in Malaysia was gathered from the Official Portal of Ministry of Health Malaysia. All data for analysis were extracted from the integrated database in Quantum GIS (QGIS) into Microsoft Excel. Result: The population of Malaysia (24.9 million) was distributed across 127 districts, with 119 (94%) having at least one dental clinic. Sixty-four districts had fewer than 10 dental clinics, and 11.3% of Malaysians did not reside in the catchment of 20 km from any dental clinic. The total dental clinic-to-population ratio was 1:9,000: for public dental clinics it was 1:38,000 and for private clinics it was 1:13,000. Conclusion: Dental services were distributed relative to high population density, were unevenly distributed across Malaysia and the majority of people with the highest inaccessibility to a dental service resided in Malaysian Borneo. © 2018 FDI World Dental Federation
publisher Wiley-Blackwell Publishing Ltd
issn 00206539
language English
format Article
accesstype All Open Access; Bronze Open Access; Green Open Access
record_format scopus
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