| Literature DB >> 12529182 |
John Page1, Richard F Heller, Scott Kinlay, Lynette L-Y Lim, Wang Qian, Zheng Suping, Supornchai Kongpatanakul, Murtaza Akhtar, Salah Khedr, William Macharia.
Abstract
BACKGROUND: Little is known about the influence of the site of research or publication on the impact of the research findings on clinical practice, particularly in developing countries. The International Clinical Epidemiology Network (INCLEN) is dedicated to improving the quality of health research in the Developing World through institutional capacity building for evidence based medicine, and provided the opportunity to examine the likely impact of research location and journal location on physicians' practice in a number of the participating countries.Entities:
Mesh:
Year: 2003 PMID: 12529182 PMCID: PMC149227 DOI: 10.1186/1471-2458-3-6
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Demographic and practice features of the physicians included in the study
| SPECIALTY (%) | ||||||||||
| Centre | No. of hospitals | No. of physicians | No of physicians in tertiary hospitals | No of females (%) | median age (range) | median no. of years since graduation (range) | Primary care | Physicians with subspecialty | Other doctors | Access to medical library (%) |
| Chengdu | 10 | 50 | 25 | 26 (52) | 40 (23–60) | 15 (1–37) | 14 (28) | 36 (72) | 0 (0) | 49 (98) |
| Shanghai | 10 | 50 | 25 | 28 (56) | 40 (22–64) | 14.5(1–40) | 1 (2) | 46 (92) | 3 (6) | 44 (88) |
| Bangkok | 7 | 40 | 25 | 10 (25) | 28 (24–49) | 4.5 (1–24) | 25 (63) | 15 (38) | 0 (0) | 37 (93) |
| Nagpur | 8 | 28 | 18 | 11 (39) | 38 (26–51) | 15 (2–30) | 17 (61) | 4 (14) | 5 (18) | 24 (86) |
| Ismalia | 3 | 20 | 7 | 1 (5) | 28 (26–47) | 4 (3–23) | 3 (16) | 16 (84) | 0 (0) | 5 (75) |
| Nairobi | * | 40 | * | 10 (25) | 40 (34–51) | 14 (10–36) | 11 (28) | 17 (43) | 12 (30) | 30 (78) |
* The physicians in Kenya were not selected by hospital.
The likelihood of journals published/ research done in various regions to affect physicians clinical practice according to country of practice. Figures are the number (%) of physicians choosing the highest two of five influence categories.
| Number (%) of physicians likely to be influenced | |||
| Country | Origin | Journals | Research |
| China (n = 100) | |||
| North American | 61 (61) | 55 (55) | |
| European | 19 (19) | 20 (20) | |
| Regional | 22 (22) | 14 (14) | |
| Local | 96 (96) | 94 (94) | |
| Thailand (n = 40) | |||
| North American | 19 (48) | 19 (48) | |
| European | 8 (20) | 15 (38) | |
| Regional | 7 (18) | 12 (30) | |
| Local | 26 (65) | 33 (83) | |
| India (n = 28) | |||
| North American | 17 (61) | 17 (61) | |
| European | 18 (64) | 20 (71) | |
| Regional | 14 (50) | 16 (57) | |
| Local | 26 (93) | 27 (96) | |
| Egypt (n = 20) | |||
| North American | 14 (70) | 19 (95) | |
| European | 11 (55) | 17 (85) | |
| Regional | 1 (5) | 1 (5) | |
| Local | 2 (10) | 7 (35) | |
| Kenya (n = 40) | |||
| North American | 29 (73) | 29 (73) | |
| European | 34 (85) | 32 (80) | |
| Regional | 32 (80) | 27 (68) | |
| Local | 36 (90) | 30 (75) | |
| Overall (n = 228) | |||
| North American | 140 (61) | 139 (61) | |
| European | 90 (39) | 104 (46) | |
| Regional | 76 (33) | 70 (31) | |
| Local | 186 (82) | 191 (84) | |
Figure 1JOURNALS: Preference for journals published in other regions (US, Europe or Regional) compared to local journals
Figure 2RESEARCH: Preference for research done in other regions (US, Europe or Regional) compared to local research