| Literature DB >> 23964857 |
Jinwen Wang1, Jianglian Su, Huijuan Zuo, Mingyan Jia, Zhechun Zeng.
Abstract
BACKGROUND: A shortage of health professionals in rural areas is a major problem facing China, as more than 60% of the population lives in such areas. Strategies have been developed by the government to improve the recruitment of rural doctors. However, the inequitable distribution of doctors working in China has not improved significantly. The objective of this study was to explore the reasons for the poor recruitment and to propose possible strategies to improve the situation.Entities:
Mesh:
Year: 2013 PMID: 23964857 PMCID: PMC3765180 DOI: 10.1186/1478-4491-11-40
Source DB: PubMed Journal: Hum Resour Health ISSN: 1478-4491
Demographics of participants
| Gender | |||
| Female no. (%) | 1355 (48.8%) | 1252 (48.6%) | 103 (51.2%) |
| Male no. (%) | 1423 (51.2%) | 1325 (51.4%) | 98 (48.7%) |
| Age | |||
| Mean age | 50.01 ± 8.02 | 48.62 ± 9.49 | 50.16 ± 8.00 |
| Range (year) | 24–75 | 28–62 | 24–75 |
| <40 year no. (%) | 481 (17.3%) | 433 (16.8%) | 48 (23.9%) |
| 40–60 year no. (%) | 2069 (74.5%) | 1930 (74.9%) | 139 (69.2%) |
| >60 year no. (%) | 228 (8.2%) | 214 (8.3%) | 14 (7.0%) |
| Years of medical service | |||
| Mean length | 27.90 ± 9.45 | 28.10 ± 9.43 | 25.80 ± 9.10 |
| <10 no. (%) | 85 (3.1%) | 78 (3.0%) | 7 (3.5%) |
| 10–19 no. (%) | 568 (20.4%) | 516 (20.0%) | 52 (25.9%) |
| 20–29 no. (%) | 578 (20.8%) | 529 (20.5%) | 49 (24.4%) |
| >30 no. (%) | 1547 (55.7%) | 1454 (55.6%) | 93 (45.8%) |
| Education | |||
| University no. (%) | 26 (0.9%) | 23 (0.9%) | 3 (1.5%) |
| High school & Junior college no. (%) | 299 (10.8%) | 250 (9.7%) | 49 (24.4%) |
| Primary & secondary school no. (%) | 2453 (88.3%) | 2304 (89.4%) | 149 (74.1%) |
| Have a part time job | 1472 (50.3%) | 1378 (53.4%) | 94 (40.8%) |
| Per capita monthly household income | |||
| <2000 yuan no. (%) | 2030 (73.1%) | 1920 (74.5%) | 110 (54.7%) |
| 2000–4000 yuan no. (%) | 622 (22.4%) | 557 (21.6%) | 65 (32.3%) |
| >4000 yuan no. (%) | 126 (4.5%) | 100 (3.9%) | 26 (12.9%) |
Mean ranks for the importance of intervention items, with the lowest scores having the greatest impact
| 1. Retirement pension offered by government | 1 (1.67 ± 0.09) |
| 2. Increase income | 2 (2.98 ± 0.10) |
| 3. More training | 3 (3.89 ± 0.11) |
| 4. Reasonable workload and improved after-hours | 4 (4.19 ± 0.09) |
| 5. Improved working environment | 5 (5.54 ± 0.08) |
| 6. A better chance of launching successful careers | 6 (5.87 ± 0.10) |
CI confidence interval.
Mean ranks for the importance of intervention items by age category
| 1. Retirement pension offered by government | 1 (1.64 ± 0.09) | 1 (1.70 ± 0.09) | 1 (1.72 ± 0.09) |
| 2. Increase income | 2 (2.87 ± 0.10) | 2 (2.99 ± 0.10) | 2 (3.10 ± 0.10) |
| 3. More training | 3 (3.89 ± 0.11) | 3 (3.60 ± 0.11) | 3 (3.57 ± 0.11) |
| 4. Reasonable workload and improved after-hours | 4 (4.10 ± 0.09) | 4 (4.12 ± 0.09) | 4 (4.26 ± 0.09) |
| 5. Improved working environment | 5 (5.24 ± 0.08) | 5 (5.33 ± 0.08) | 5 (5.76 ± 0.08) |
| 6. The more chance of launching successful careers | 6 (5.92 ± 0.10) | 6 (5.89 ± 0.10) | 6 (5.56 ± 0.09) |
CI confidence interval.
Response to statements on training
| 1. The training has improved my clinical knowledge | 0%(0) | 12%(333) | 14%(389) | 48%(1333) | 26%(722) |
| 2. The training has enhanced my clinical skills | 0%(0) | 18%(500) | 11%(306) | 47%(1306) | 24%(667) |
| 3. The training is valuable to me in my future career | 28%(778) | 49%(1361) | 16%(444) | 7%(194) | 0%(0) |
| 4. The training enhanced my interest in medical practice | 34%(945) | 41%(1139) | 12%(333) | 11%(306) | 1%(28) |
| 5. I feel more confident as a rural doctor after training | 6%(167) | 31%(861) | 24%(667) | 34%(945) | 5%(139) |
| 6. The training can help to attract more young doctors to work in rural areas | 7%(194) | 30%(833) | 31%(861) | 29%(806) | 3%(83) |