| Literature DB >> 26702646 |
Emma Larsson1,2, Erik Zettersten3,4, Gabriella Jäderling5,6, Anna Ohlsson7, Max Bell8,9.
Abstract
BACKGROUND: We assume that critically ill patients are admitted to an intensive care unit (ICU) based on their illness severity coupled with their co-morbidities. Patient attributes such as religion, nationality, socioeconomic class or gender are not relevant in this setting. We aimed to explore the association of patient gender with admission to the ICU amongst hospital physicians working in Sweden.Entities:
Mesh:
Year: 2015 PMID: 26702646 PMCID: PMC4690252 DOI: 10.1186/s13049-015-0191-2
Source DB: PubMed Journal: Scand J Trauma Resusc Emerg Med ISSN: 1757-7241 Impact factor: 2.953
Fig. 1Flow chart
Demographic data of respondents
| Survey 1 | Survey 2 | |
|---|---|---|
|
| ||
| Women | 298 (43.9 %) | 320 (42.8 %) |
| Men | 381 (56.1 %) | 427 (57.2 %) |
|
| ||
| 20–29 | 31 (4.6 %) | 23 (3.1 %) |
| 30–39 | 279 (41.1 %) | 288 (38.6 %) |
| 40–49 | 188 (27.7 %) | 229 (30.7 %) |
| 50–59 | 108 (15.9 %) | 126 (16.9 %) |
| 60–69 | 71 (10.5 %) | 78 (10.4 %) |
| 70-79 | 2 (0.3 %) | 3 (0.4 %) |
|
| ||
| Regional Hospital | 495 (72.9 %) | 542 (72.6 %) |
| Central Hospital | 151 (22.2 %) | 173 (23.2 %) |
| Rural Hospital | 22 (3.2 %) | 21 (2.8 %) |
| Not given | 11 (1.6 %) | 11 (1.5 %) |
|
| ||
| Resident | 236 (34.8 %) | 247 (33.1 %) |
| Board certified specialist | 148 (21.8 %) | 174 (23.3 %) |
| Assistant senior physician | 37 (5.4 %) | 39 (5.2 %) |
| Senior Physician | 258 (38.0 %) | 287 (38.4 %) |
|
| ||
| Emergency medicine | 30 (4.4 %) | 32 (4.3 %) |
| Anesthesiology /Intensive Care | 166 (24.4 %) | 166 (22.2 %) |
| Gynecology | 52 (7.7 %) | 47 (6.3 %) |
| Infectious diseases | 44 (6.5 %) | 64 (8.6 %) |
| Cardiology | 44 (6.5 %) | 46 (6.2 %) |
| General surgery | 80 (11.8 %) | 80 (10.7 %) |
| Internal medicine | 125 (18.4 %) | 135 (18.1 %) |
| Oncology | 39 (5.7 %) | 47 (6.3 %) |
| Orthopedic surgery | 54 (8.0 %) | 71 (9.5 %) |
| Urology | 15 (2.2 %) | 21 (2.8 %) |
| Ear, Nose, Throat | 27 (4.0 %) | 33 (4.4 %) |
| Other | 3 (0.4 %) | 4 (0.5 %) |
Female vs. male gender of the patient
| Female patient | Male patient |
| |
|---|---|---|---|
| Case 1 | 39.9 % | 39.0 % | n.s. |
| Case 2 | 37.9 % | 38.3 % | n.s. |
| Case 3 | 40.4 % | 43.9 % | n.s. |
| Case 4 | 70.7 % | 68.1 % | n.s. |
| Case 5 | 63.0 % | 62.0 % | n.s. |
| Case 6 | 66.9 % | 69.8 % | n.s. |
| Case 7 | 48.9 % | 53.3 % | n.s. |
| Case 8 | 65.6 % | 63.6 % | n.s. |
Proportion of patients deemed in need of ICU care dependent of patient gender
Respondent: female vs. male, regardless of the gender of the patient
| Female respondent | Male respondent |
| |
|---|---|---|---|
| Case 1 | 42.4 % | 37.0 % | 0.04 |
| Case 2 | 37.1 % | 38.9 % | n.s |
| Case 3 | 41.4 % | 42.8 % | n.s. |
| Case 4 | 72.0 % | 67.3 % | n.s. |
| Case 5 | 67.5 % | 58.7 % | 0.001 |
| Case 6 | 73.5 % | 64.4 % | <0.001 |
| Case 7 | 47.4 % | 54.1 % | 0.01 |
| Case 8 | 62.8 % | 66.1 % | n.s. |
Respondent: Anesthesiology/intensive care vs. others, regardless of the gender of the patient
| Anesthesiology/intensive care | Others |
| |
|---|---|---|---|
| Case 1 | 53.0 % | 35.5 % | <0.001 |
| Case 2 | 50.6 % | 34.3 % | <0.001 |
| Case 3 | 44.5 % | 41.5 % | n.s. |
| Case 4 | 70.3 % | 69.1 % | n.s. |
| Case 5 | 73.6 % | 59.1 % | <0.001 |
| Case 6 | 67.3 % | 68.6 % | n.s. |
| Case 7 | 65.5 % | 46.9 % | <0.001 |
| Case 8 | 80.0 % | 60.0 % | <0.001 |