| Literature DB >> 29228989 |
Roni Rahav Koren1,2, Celia Suriu3,4, Orly Yakir3,4, Luiza Akria3,4, Masad Barhoum3,4, Andrei Braester3,4.
Abstract
BACKGROUND: A significant percentage of red blood cell transfusions are inappropriately overused. This study investigated physicians from the western Galilee in terms of their knowledge of transfusion medicine as a potential reason for red blood cell overuse, and assessed the influence of personal background characteristics on their knowledge.Entities:
Keywords: Knowledge; Medical overuse; Red blood cell transfusion
Mesh:
Year: 2017 PMID: 29228989 PMCID: PMC5725969 DOI: 10.1186/s13584-017-0173-0
Source DB: PubMed Journal: Isr J Health Policy Res ISSN: 2045-4015
Personal background of population study (N = 79)
| Demographic characteristic | Number of responses | |
|---|---|---|
| Gender | Male | 60 (75.9%) |
| Female | 18 (22.7%) | |
| NA | 1 (1.2%) | |
| Age range (years) | Mean ± SD | 39.9 ± 10.4 |
| Range | 26–66 | |
| 25–34 | 33 (41.7%) | |
| 35–44 | 17 (21.5%) | |
| 45+ | 25 (31.6%) | |
| NA | 4 (5.0%) | |
| Professional status | Senior physician | 32 (40.5%) |
| Resident | 47 (59.5%) | |
| Seniority (years) | Mean ± SD | 12.8 ± 10.93 |
| Median | 9.0 | |
| Range | 0.25–40.0 | |
| Medical specialty | Internal medicine | 34 (43.0%) |
| Surgery | 44 (55.7%) | |
| NA | 1 (1.2%) | |
| Place of graduation | Israel | 19 (24.0%) |
| Other country | 47 (59.5%) | |
| NA | 13 (16.5%) | |
SD standard deviation, NA no answer
Fig. 1Scores of the overall questionnaire. Distribution of the overall knowledge scores of the study population. Mean overall knowledge score of the population study was 47.8 ± 18.6
The influence of personal background on knowledge of transfusion medicine
| Variable | Overall score | Familiarity with the restrictive blood management discipline score (0–100) | Indications for transfusion score | ||||
|---|---|---|---|---|---|---|---|
| Mean ± SD |
| Mean ± SD |
| Mean ± SD |
| ||
| Age (Years) | 25–34 | 43.8 ± 15.5 | 0.05b | 43.3 ± 27.8 | 0.1b | 49.4 ± 22.6 | 0.3b |
| 35–44 | 46.0 ± 21.0 | 51.7 ± 30.0 | 38.2 ± 27.4 | ||||
| 45+ | 55.0 ± 17.4 | 58.8 ± 24.5 | 44.6 ± 24.8 | ||||
| Professional status | Senior physicians | 54.1 ± 19.5 | 0.01a | 61.2 ± 26.6 | 0.003a | 43.2 ± 26.3 | 0.75a |
| Residents | 43.4 ± 16.7 | 42.3 ± 26.7 | 45.0 ± 24.5 | ||||
| Place of graduation | Israel graduates | 50.4 ± 18.9 | 0.73a | 54.2 ± 28.5 | 0.62a | 51.7 ± 17.4 | 0.2c |
| Non-Israel graduates | 48.7 ± 18.0 | 50.4 ± 28.6 | 44.3 ± 27.6 | ||||
| Field of specialty | Internal medicine | 55.5 ± 20.0 | 0.002a | 60.5 ± 30.3 | 0.03a | 49.5 ± 26.7 | 0.12a |
| Surgical | 41.8 ± 15.3 | 41.3 ± 23.4 | 40.5 ± 23.6 | ||||
SD standard deviation
aIndependent sample t-test; bAnova; cWilcoxon rank sum test