| Literature DB >> 31664903 |
Shuhei Yoshida1, Masatoshi Matsumoto2, Saori Kashima3, Soichi Koike4, Susumu Tazuma5, Takahiro Maeda6.
Abstract
BACKGROUND: Geographical maldistribution of physicians, and their subsequent shortage in rural areas, has been a serious problem in Japan and in other countries. Family Medicine, a new board-certified specialty started 10 years ago in Japan by Japan Primary Care Association (JPCA), may be a solution to this problem.Entities:
Keywords: Family physician; Geography; Health policy; Japan
Mesh:
Year: 2019 PMID: 31664903 PMCID: PMC6819408 DOI: 10.1186/s12875-019-1040-6
Source DB: PubMed Journal: BMC Fam Pract ISSN: 1471-2296 Impact factor: 2.497
Workplace municipalities of board-certified physicians ages 30 to 49, classified by population density
| Quintile of municipalities sorted by population densitya | Total | ||||||
|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |||
| Family physicians | N | 27**+ | 49**+ | 75**+ | 138**+ | 230**− | 519 |
| % | 5.2% | 9.4% | 14.5% | 26.6% | 44.3% | 100.0% | |
| General internists | N | 62 | 271 | 873 | 2599 | 8142 | 11,947 |
| % | 0.5% | 2.3% | 7.3% | 21.8% | 68.1% | 100.0% | |
| Surgeons | N | 51 | 302 | 894 | 26009*+ | 7723**− | 11,570 |
| % | 0.4% | 2.6% | 7.7% | 22.5% | 66.8% | 100.0% | |
| Obstetricians and gynaecologists | N | 7**− | 121 | 318**− | 1085 | 1435**+ | 5268 |
| % | 0.1% | 2.3% | 6.0% | 20.6% | 70.9% | 100.0% | |
| Paediatricians | N | 17**− | 148 | 545 | 1435*− | 4774*+ | 6919 |
| % | 0.2 | 2.1 | 7.9 | 20.7 | 69.0 | 100.0% | |
| All physiciansb | N | 747 | 3846 | 10,830 | 29,489 | 92,675 | 137,587 |
| % | 0.5 | 2.8 | 7.9 | 21.4 | 67.4 | 100.0% | |
aQuintile 1 < = 433.14, Quintile 2 < = 1195.59, Quintile 3 < = 3155.03, Quintile 4 < = 10,845.34, Quintile 510,845.34+ people per square kilometer
bAll physicians were not included in the residual analysis
Residual analysis based on chi square test which examines the difference between the real and expected value at each cell.
*+: greater than expected value. P < 0.05
**+: greater than expected value. P < 0.001
*−: less than expected value. P < 0.05
**−: less than expected value. P < 0.001
Fig. 1Number of board-certified physicians ages 30 to 49 per 100,000 population, classified by population density
Workplace municipalities of board-certified physicians ages 30 to 49, classified by municipality type
| Municipality type a | Total | ||||
|---|---|---|---|---|---|
| Metropolisa | Cityb | Town/villagec | |||
| Family physicians | N | 194**− | 260**+ | 65**+ | 519 |
| % | 37.4% | 50.1% | 12.5% | 100.0% | |
| General internists | N | 7299 | 4194 | 454 | 11,947 |
| % | 61.1% | 35.1% | 3.8% | 100.0% | |
| Surgeons | N | 6928 | 4167 | 475 | 11,570 |
| % | 59.9% | 36.0% | 4.1% | 100.0% | |
| Obstetricians and gynaecologists | N | 3299**− | 1811*− | 158**− | 5268 |
| % | 62.6% | 34.4% | 3.0% | 100.0% | |
| Paediatricians | N | 4164 | 2493 | 262 | 6919 |
| % | 60.2 | 36.0 | 3.8 | 100.0% | |
| All physiciansd | N | 81,794 | 49,858 | 5935 | 137,587 |
| % | 59.4 | 36.2 | 4.3 | 100.0% | |
a Metropolis: all the ordinance-designated cities (seirei-shitei-toshi and chukaku-shi) and 23 special wards of Tokyo (ku) (n = 97)
bCity: the other cities (shi) (n = 717)
cTown/village: towns (cho) and villages (son) (n = 923)
dAll physicians were not included in the residual analysis
Residual analysis based on chi square test which examines the difference between the real and expected value at each cell.
*+: greater than expected value. P < 0.05
**+: greater than expected value. P < 0.001
*−: less than expected value. P < 0.05
**−: less than expected value. P < 0.001
Fig. 2Number of board-certified physicians ages 30 to 49 per 100,000 population, classified by municipality type