| Literature DB >> 17394639 |
Darin Jaturapatporn1, Alan Dellow.
Abstract
BACKGROUND: Recent national healthcare reforms in Thailand aim to transfer primary care to family physicians, away from more expensive specialists. As Family Medicine has yet to be established as a separate discipline in Thailand, newly trained family physicians work alongside untrained general doctors in primary care. While it has been shown that Family Medicine training programs in Thailand can increase the quality of referrals from primary care doctors to specialists, information is lacking about whether such training affects the quality of patient care. In the Department of Family Medicine at Ramathibodi Hospital, trained family physicians work with residents and general doctors. Although this situation is not typical within Thailand, it offers us the opportunity to look for variations in the levels of satisfaction reported by patients treated by different types of primary care doctor.Entities:
Mesh:
Year: 2007 PMID: 17394639 PMCID: PMC1852109 DOI: 10.1186/1471-2296-8-14
Source DB: PubMed Journal: BMC Fam Pract ISSN: 1471-2296 Impact factor: 2.497
Characteristics of faculty physicians, general doctors and residents.
| 31.05 (10.57) | 30.13 (9.46) | 28.24 (2.24) | 0.08 | |
| Male | 3 | 1 | 10 | 0.00 |
| Female | 12 | 9 | 10 | |
| 2.71 (0.78) | 2.30 (0.63) | 2.05 (0.50) | 0.10 | |
Characteristics of patients seen by faculty physicians, general doctors and residents.
| 50.39 (15.65) | 49.32 (15.86) | 49.55 (15.39) | 0.07 | |
| Male | 233 (30.50) | 92 (24.90) | 249 (31.50) | 0.07 |
| Female | 530 (69.50) | 277 (75.10) | 542 (68.50) | |
| New patients | 113 (14.50) | 75 (16.40) | 235 (36.70) | 0.00 |
| Existing patients | 665 (85.50) | 382 (83.60) | 405 (63.30) | |
| Universal coverage | 37 (4.70) | 8 (1.80) | 30 (4.70) | 0.10 |
| Social welfare | 62 (7.90) | 38 (8.40) | 38 (5.90) | |
| Government welfare | 416 (53.10) | 248 (54.70) | 294 (45.80) | |
| Self-payment | 269 (34.30) | 159 (35.10) | 280 (43.60) | |
| yes | 259 (35.60) | 141 (33.30) | 199 (34.40) | 0.68 |
| no | 469 (64.40) | 286 (66.70) | 379 (65.60) | |
| Owner | 566 (72.80) | 322 (72.20) | 436 (69.40) | 0.36 |
| Renting | 212 (27.20) | 124 (27.80) | 192 (30.60) | |
| Business owner | 51 (7.10) | 33 (7.90) | 40 (7.0) | 0.47 |
| Employee | 155 (21.70) | 98 (23.30) | 154 (27.00) | |
| Government worker | 121 (16.90) | 81 (19.30) | 95 (16.60) | |
| Student | 39 (5.50) | 20 (4.80) | 33 (5.80) | |
| Housewife | 234 (32.80) | 134 (31.90) | 167 (29.20) | |
| Unemployed | 5 (0.70) | 1 (0.20) | 7 (1.20) | |
| Disabled | 14 (2.00) | 10 (2.40) | 15 (2.60) | |
| Retired | 95 (13.30) | 43 (10.20) | 60 (10.50) | |
| < 5,000 | 50 (14.20) | 68 (21.20) | 33 (15.20) | 0.13 |
| 5,001–10,000 | 113 (32.10) | 106 (33.00) | 66 (30.40) | |
| 10,001–30,000 | 160 (45.50) | 131 (40.80) | 108 (49.80) | |
| 30,001–50,000 | 21 (6.00) | 11 (3.40) | 6 (2.80) | |
| >50,000 | 8 (2.30) | 5 (1.60) | 4 (1.80) | |
Comparison of general practice assessment scores for faculty physicians, general doctors and residents.
| 54.96 (13.20) | 55.04 (11.89) | 55.00 (12.94) | 0.05 | 0.995 | 0.00 | |
| 67.87 (17.54) | 62.51 (16.99) | 64.57 (17.09) | 10.316 | 0.000* | 0.15 | |
| 69.77 (14.24) | 65.08 (14.20) | 69.79 (14.25) | 16.294 | 0.000* | 0.17 | |
| 82.44 (24.56) | 76.29 (28.10) | 80.75 (25.84) | 6.865 | 0.001* | 0.07 | |
| 80.70 (14.37) | 79.73 (14.10) | 80.86 (15.50) | 0.758 | 0.469 | 0.01 | |
* statistical significance