Literature DB >> 30350864

Distribution of dentists in the Greater Tokyo Area, Japan.

Takayoshi Hashimura1, Tetsuya Tanimoto2, Tomohiro Morita3, Masahiro Kami1.   

Abstract

INTRODUCTION: Japan is considered to have an overabundance of dentists; however, there are scarce data on regional inequalities in the ratio of dentists to patients. We examined these inequalities in Japan's Greater Tokyo Area - otherwise known as the Kanto region, and the world's most populous metropolitan area - by subdividing it into small- and medium-sized medical care zones.
METHODS: We calculated the number of dentists per 100,000 population using the 2012 Survey of Physicians, Dentists, and Pharmacists for the three medical district tiers [primary medical care zones: municipalities (cities, towns, villages and special wards); secondary medical care zones: multiple adjacent municipalities; and tertiary care zones: prefectures]. We also estimated the influence of having a dental school in the district or an adjacent district on the number of dentists.
RESULTS: The number of dentists per 100,000 population was 79.2 across the whole Kanto region; the range for each type of medical care zone was as follows: 65.3-126.4 at the tertiary level; 38.0-929.6 at the secondary level; and 0-3,087.6 at the primary level. The median Gini coefficient among tertiary medical care zones was 0.16 (range 0.11-0.36). The median number of dentists per 100,000 population was 273.8 in primary medical care zones that had a dental school, 79.9 in adjacent zones, and 59.6 in other zones.
CONCLUSIONS: We identified significant inequalities in the number of dentists among the medical care zones, and the presence of a dental school had a major influence on this number.
© 2018 FDI World Dental Federation.

Entities:  

Keywords:  Dentist distributions; Greater Tokyo Area; dental schools; geodemography

Mesh:

Year:  2018        PMID: 30350864      PMCID: PMC9379024          DOI: 10.1111/idj.12446

Source DB:  PubMed          Journal:  Int Dent J        ISSN: 0020-6539            Impact factor:   2.607


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  10 in total

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