USING A GEOGRAPHIC INFORMATION SYSTEMS FOR MAPPING THE DISTRIBUTION OF DENTAL PERSONNAL ; A CASE STUDY MUKDHAN PROVINCE



 

Miss Sirijit Teanlakkananon

Advisor : Asst. Prof. Dr. Somchit Art-In and Surasak Thiaprit
Degree  M.P.H.  Major  Public Health Information Management

University Mahasarakham University  DATE 2006

 

Abstract

 

The problems of dental personnel distribution in Thailand currently show great differences. In has been found that in Region 7 of the Ministry of Public Health Supervision the ratio of dentists to population is the greatest (1:27,773), in Region 5 the ratio of dental nurses to population is the greatest (1: 24,317). However, in Changwat Mukdahan the ratio of dental nurses to population is the greatest (1: 24,317), However, in Changwat Mukdahan the ratio of the dentists to population is 1: 31,551, and the ratio of dental nurses to population is 1:18,559. These ratios exceed the established requirements of dentists to population ratio of 1: 12,500  and dental nurses to population ratio of 1 : 10,000. Therefore, problems of dental personnel distribution based on the manpower framework of the Ministry of Public Health occur, and the ratios are not in accordance with work loads, responsible area conditions, and the population to be cared.

The first purpose of this study was to develop a constructed model consisted of 3 indicators : dental disease problems, population, and  public health service access. The model was used to find out the values of data representatives by means of median calculation. The needs for dentists and dental nurses were then evaluated by using standard T-Score to find ranks of their needs from adding up standard T-Scores on these 3 indicators. And then levels of needs were divided  by using stratified interval into 4 levels : high, rather high, low and very low. A score was determined to each level of classification. In testing on the experiment, the numbers of dental personnel were treated as in the constructed model to obtain standard T-Score with close or equal scores which were appropriate for each of dental personnel. And the second purpose of the study was to compare dental personnel distribution based on the manpower framework of the Ministry of public health  through the geographic information systems by finding out the statistically significant value.

The results of the study were as follows. For the Dentist distribution based on the framework of the Ministry of Public Health , the first 7 top ranks of needs were: Amphoe Nikhom Kham Soi, Amphoe Wan Yai, and Amphoe Nong Sung. This was different from the needs for dentist distribution based on the model at the 0.01 level of significance. The first 7 top ranks of needs were : Amphoe Don Tan, Amphoe Dong Luang, Amphoe Nikhom Kham Soi, Amphoe Khacha-I, Amphoe Nong Sung, Amphoe Mueang, and Amphoe wan Yai. For the ranks of needs for dental nurses distribution based on the framework of the Ministry of Public Health, the first 7 top ranks of needs were : Amphoe Mueang, Amphoe Dong Luang, Amphoe Don Tan, Amphoe Khamcha-I, Amphoe  Khamcha-I, Amphoe Don Tan, Amphoe Nong Sung and Amphoe Wan yai did not show different needs for dental nurses  distribution  based on the model, but Amphoe Mueang, Amphoe Dong Luang  and Amphoe Nikhom Kham Soi showed the different needs mentioned at the 0.01 level of significance.

 

In conclusion, the use of geographic information systems for constructing dental personnel distribution model efficiently could help administrators implement the analysis results in supplementing to consideration on allocation of dental personnel for dental personnel distribution to meet the needs of each area in Changwat Mukdahan immediately. The results could be complied conveniently and rapidly. The mapping could be seen clearly, easy to understand, and could cover all the actual area conditions. The problems of ratios of dental personnel to population could be solved for appropriateness with adequate dental personnel for the needs for more dental treatments; and more dental personnel distribution could b made in rural and remote areas.

 


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