| Literature DB >> 35932110 |
Basma Salameh1, Ali Eyad Mahmoud Aboamash2.
Abstract
Sepsis is a widespread problem that can create clinical and economic difficulties. This study aimed to determine the knowledge, attitudes, practices, and barriers related to the sepsis and sepsis management among emergency nurses and physicians. Data was collected using a self-questionnaire completed by the participating nurses and physicians (n = 243), with a 61% response rate. The study found that both emergency nurses and physicians had poor-to-moderate levels of sepsis knowledge, with emergency physicians having better attitudes regarding sepsis and sepsis management than emergency nurses. However, moderate knowledge levels of sepsis practice and management were shown among both nurses and physicians. It is evident that for emergency nurses and physicians, the biggest barrier to providing quality care to patients with sepsis is the lack of monitoring equipment. Both nurses and physicians need consistent sepsis management information provided by continual education programs. Development of an approved protocol can improve nurses' knowledge, attitudes, and practices.Entities:
Keywords: attitudes; barriers; knowledge; management; practices; sepsis
Mesh:
Year: 2022 PMID: 35932110 PMCID: PMC9364222 DOI: 10.1177/00469580221115265
Source DB: PubMed Journal: Inquiry ISSN: 0046-9580 Impact factor: 2.099
Demographic and Characteristics of the Study Participants.
| Group |
|
| ||||
|---|---|---|---|---|---|---|
| Total, N (%) | Nurse, N (%) | Physician, N (%) | ||||
| Gender | Male | 191 (78.6) | 134 (77.9) | 57 (80.3) | 0.168 | .681 |
| Female | 52 (21.4) | 38 (22.1) | 14 (19.7) | |||
| Age (years) | 21-29 | 143 (58.8) | 103 (59.9) | 40 (56.3) | 2.58 | .460 |
| 30-39 | 82 (33.7) | 54 (31.4) | 28 (39.4) | |||
| 40-49 | 17 (7.0) | 14 (8.1) | 3 (4.2) | |||
| ≥50 | 1 (0.4) | 1 (0.6) | 0 (0.0) | |||
| Educational level | Diploma | 38 (15.6) | 38 (22.1) | 0 (0.0) | 41.5 | <.001 |
| Bachelor’s Degree | 179 (73.7) | 113 (65.7) | 66 (93.0) | |||
| High Diploma | 5 (2.1) | 5 (2.9) | 0 (0.0) | |||
| Master Degree | 16 (6.6) | 16 (9.3) | 0 (0.0) | |||
| Palestinian Board | 5 (2.1) | 0 (0.0) | 5 (7.0) | |||
| ED Experience (years) | <3 | 139 (57.2) | 101 (58.7) | 38 (53.5) | 10.5 | .015 |
| 3 to <5 | 55 (22.6) | 31 (18.0) | 24 (33.8) | |||
| 5 to <10 | 32 (13.2) | 24 (14.0) | 8 (11.3) | |||
| ≥10 | 17 (7.0) | 16 (9.3) | 1 (1.4) | |||
| Work experience (years) | <5 | 137 (56.4) | 91 (52.9) | 46 (64.8) | 4.11 | .249 |
| 5 to <10 | 68 (28.0) | 50 (29.1) | 18 (25.4) | |||
| 10 to <15 | 28 (11.5) | 22 (12.8) | 6 (8.5) | |||
| ≥15 | 10 (4.1) | 9 (5.2) | 1 (1.4) | |||
| Sepsis training & CE | Emergency Workshop | 62 (25.5) | 42 (24.4) | 20 (28.2) | 3.91 | .418 |
| Sepsis in Primary Care Course | 25 (10.3) | 16 (9.3) | 9 (12.7) | |||
| Online Education | 17 (7.0) | 12 (7.0) | 5 (7.0) | |||
| Residency Program | 1 (0.4) | 0 (0.0) | 1 (1.4) | |||
| None | 138 (56.8) | 102 (59.3) | 36 (50.7) | |||
| Follow a specific sepsis Management Protocol/Guideline | CDC Guidelines | 3 (1.2) | 0 (0.0) | 3 (4.2) | 17.4 | .001 |
| Surviving Sepsis Campaign (SSC) | 2 (0.8) | 0 (0.0) | 2 (2.8) | |||
| Sofa Score | 2 (0.8) | 0 (0.0) | 2 (2.8) | |||
| No | 236 (97.1) | 172 (100.0) | 64 (90.1) | |||
| Deal with sepsis patients at ED (%) | <10 | 91 (37.4) | 67 (39.0) | 24 (33.8) | 6.31 | .177 |
| 10-30 | 79 (32.5) | 58 (33.7) | 21 (29.6) | |||
| 31-50 | 56 (23.0) | 33 (19.2) | 23 (32.4) | |||
| 51-70 | 13 (5.3) | 10 (5.8) | 3 (4.2) | |||
| >70 | 4 (1.6) | 4 (2.3) | 0 (0.0) | |||
ED = emergency department.
Figure 1.The level of knowledge about sepsis and sepsis management among nurses and physicians.
Figure 2.Knowledge related to definition and cause of sepsis among nurses and physicians.
Knowledge Related to Monitoring Lactate, Scoring, and Hemodynamic Parameters of Sepsis Among Nurses and Physicians.
| Group | ||||
|---|---|---|---|---|
| Total, N (%) | Nurse, N (%) | Physician, N (%) | ||
| Patient with symptoms suggest sepsis. the time (minutes) elapses before a lactate test are performed is: | 0-30 | 69 (28.4) | 50 (29.1) | 19 (26.8) |
| 30-60 | 81 (33.3) | 60 (34.9) | 21 (29.6) | |
| 61-120 | 49 (20.2) | 30 (17.4) | 19 (26.8) | |
| 121-180 | 11 (4.5) | 7 (4.1) | 4 (5.6) | |
| 181-240 | 2 (0.8) | 2 (1.2) | 0 (0.0) | |
| Not typically performed | 31 (12.8) | 23 (13.4) | 8 (11.3) | |
| The lactate threshold which indicates that your patients are septic is: | 4 mmol/L | 95 (39.1) | 67 (39.0) | 28 (39.4) |
| <2 mmol/L | 20 (8.2) | 16 (9.3) | 4 (5.6) | |
| 2 mmol/L | 77 (31.7) | 56 (32.6) | 21 (29.6) | |
| <4 mmol/L | 51 (21.0) | 33 (19.2) | 18 (25.4) | |
| How often in the ED in taking the BP, RR, SPO2, JVP, and mental status of a septic patient. At least once every: | 30 min | 124 (51.0) | 81 (47.1) | 43 (60.6) |
| 1 h | 85 (35.0) | 63 (36.6) | 22 (31.0) | |
| 2 h | 16 (6.6) | 14 (8.1) | 2 (2.8) | |
| 3 h | 18 (7.4) | 14 (8.1) | 4 (5.6) | |
| The scoring assessing system for sepsis is used in daily practice in my working place. | False | 142 (58.4) | 88 (51.2) | 54 (76.1) |
| True | 101 (41.6) | 84 (48.8) | 17 (23.9) | |
The highest Percentage
Knowledge Related to Sepsis and Sepsis Management Among Nurses and Physicians.
| Group | ||||
|---|---|---|---|---|
| Total, N (%) | Nurse, N (%) | Physician, N (%) | ||
| Septic shock patients have hypotension despite IV fluids volume restoration. | True | 189 (77.8) | 133 (77.3) | 56 (78.9) |
| False | 54 (22.2) | 39 (22.7) | 15 (21.1) | |
| In patient with symptoms suggestive sepsis, the ER time (minutes) elapses before the he receives antibiotics is: | 0-30 | 70 (28.8) | 52 (30.2) | 18 (25.4) |
| 31-60 | 117 (48.1) | 80 (46.5) | 37 (52.1) | |
| 61-120 | 44 (18.1) | 31 (18.0) | 13 (18.3) | |
| 121-180 | 8 (3.3) | 6 (3.5) | 2 (2.8) | |
| 181-240 | 4 (1.6) | 3 (1.7) | 1 (1.4) | |
| Antibiotic is given before the blood cultures are collected | False | 136 (56.0) | 94 (54.7) | 42 (59.2) |
| True | 107 (44.0) | 78 (45.3) | 29 (40.8) | |
The highest Percentage
Knowledge related to early detection and diagnosis of sepsis among nurses and physicians.
| Group | ||||
|---|---|---|---|---|
| Total, N (%) | Nurse, N (%) | Physician, N (%) | ||
| Which sign/s, increase/s the suspicion of sepsis? | Fall in MAP <70 mmHg | 105 (43.2) | 67 (39.0) | 38 (53.5) |
| Blood glucose >120 mg | 36 (14.8) | 27 (15.7) | 9 (12.7) | |
| Increased Fe & S. ferritin | 14 (5.8) | 12 (7.0) | 2 (2.8) | |
| Oxygen saturation’s fall | 24 (9.9) | 20 (11.6) | 4 (5.6) | |
| Reduction of hourly UOP | 64 (26.3) | 46 (26.7) | 18 (25.4) | |
| Vomiting, diarrhea, gastroparesis, ileum may be an early sign of organ dysfunction. | True | 151 (62.1) | 103 (59.9) | 48 (67.6) |
| False | 92 (37.9) | 69 (40.1) | 23 (32.4) | |
| I consider patient has the septic syndrome, when the LOC alters. | True | 143 (58.8) | 103 (59.9) | 40 (56.3) |
| False | 100 (41.2) | 69 (40.1) | 31 (43.7) | |
| Hyperglycemia (>7.7 mmol/L) in the absence of diabetes meets the diagnostic criteria for sepsis. | True | 113 (46.5) | 76 (44.2) | 37 (52.1) |
| False | 130 (53.5) | 96 (55.8) | 34 (47.9) | |
| WBC count of 4 * 109/L meets diagnostic criteria for sepsis. | False | 118 (48.6) | 82 (47.7) | 36 (50.7) |
| True | 125 (51.4) | 90 (52.3) | 35 (49.3) | |
| The level of SPO2 on sepsis patients are <90%. | True | 165 (67.9) | 121 (70.3) | 44 (62.0) |
| False | 78 (32.1) | 51 (29.7) | 27 (38.0) | |
WBC = white cell count; ED = emergency department.
True answer.
Linear Regression for Predictors’ Variables of Emergency Participants’ Demographics Variables and Their Level of Knowledge Related to Sepsis and Sepsis Management.
| 95.0% CI for B | |||||
|---|---|---|---|---|---|
| B | t | Sig. | Lower bound | Upper bound | |
| (Constant) | 5.316 | 2.81 | .005 | 1.592 | 9.040 |
| Gender | –0.176 | –0.540 | .590 | –0.818 | 0.466 |
| Age | –0.090 | –0.304 | .761 | –0.675 | 0.495 |
| Group | 0.271 | 0.876 | .382 | –0.339 | 0.882 |
| Educational level | 0.090 | 0.499 | .618 | –0.265 | 0.444 |
| ED experience | –0.437 | –2.01 | .046 | –0.865 | –0.009 |
| Work experience | 0.487 | 1.67 | .095 | –0.085 | 1.059 |
| Sepsis training & CE | 0.017 | 0.215 | .830 | –0.143 | 0.178 |
| Follow a specific sepsis Management Protocol/Guidelines | 0.213 | 0.582 | .561 | –0.508 | 0.933 |
| percentage have deal with sepsis patients at the ED | –0.037 | –0.269 | .788 | –0.312 | 0.237 |
| Attitudes | –0.010 | –0.369 | .713 | –0.061 | 0.042 |
| Practice | 0.030 | 1.62 | .105 | –0.006 | 0.066 |
Level of Attitudes Regarding Sepsis and Sepsis Management Among Emergency Nurses and Physicians.
| Strongly disagree, N (%) | Disagree, N (%) | Natural, N (%) | Agree, N (%) | Strongly agree, N (%) | ||
|---|---|---|---|---|---|---|
| IVF’s is a positive factor | Nurse | 14 (8.1) | 25 (14.5) | 30 (17.4) | 79 (45.9) | 24 (14.0) |
| Physician | 1 (1.4) | 3 (4.2) | 12 (16.9) | 36 (50.7) | 19 (26.8) | |
| Total | 15 (6.2) | 28 (11.5) | 42 (17.3) | 115 (48.3) | 43 (17.7) | |
| Antibiotics is most important | Nurse | 14 (8.1) | 16 (9.3) | 41 (23.8) | 70 (40.7) | 31 (18.0) |
| Physician | 1 (1.4) | 4 (5.6) | 33 (46.5) | 20 (28.2) | 13 (18.3) | |
| Total | 15 (6.2) | 20 (8.2) | 74 (30.5) | 90 (37.0) | 44 (18.1) | |
| Adequate & in good advanced machines, & Equipment | Nurse | 13 (7.6) | 22 (12.8) | 50 (29.1) | 58 (33.7) | 29 (16.9) |
| Physician | 0 (0.0) | 5 (7.0) | 20 (28.2) | 36 (50.7) | 10 (14.1) | |
| Total | 13 (5.3) | 27 (11.1) | 70 (28.8) | 94 (38.7) | 39 (16.0) | |
| laboratory tests (blood culture bottles) & drugs | Nurse | 13 (7.6) | 21 (12.2) | 45 (26.2) | 62 (36.0) | 31 (18.0) |
| Physician | 0 (0.0) | 5 (7.0) | 11 (15.5) | 39 (54.9) | 16 (22.5) | |
| Total | 13 (5.3) | 26 (10.7) | 56 (23.0) | 101 (41.6) | 47 (19.3) | |
| Feel confident in dealing with sepsis patient | Nurse | 14 (8.1) | 19 (11.0) | 54 (31.4) | 62 (36.0) | 23 (13.4) |
| Physician | 1 (1.4) | 3 (4.2) | 20 (28.2) | 32 (45.1) | 15 (21.1) | |
| Total | 15 (6.2) | 22 (9.1) | 74 (30.5) | 94 (38.7) | 38 (15.6) | |
| Confident in recognizing S&S of sepsis | Nurse | 16 (9.3) | 12 (7.0) | 51 (29.7) | 72 (41.9) | 21 (12.2) |
| Physician | 2 (2.8) | 2 (2.8) | 21 (29.6) | 29 (40.8) | 17 (23.9) | |
| Total | 18 (7.4) | 14 (5.8) | 72 (29.6) | 101 (41.6) | 38 (15.6) | |
| Confident in recognizing early laboratory diagnostics test for sepsis | Nurse | 12 (7.0) | 22 (12.8) | 43 (25.0) | 78 (45.3) | 17 (9.9) |
| Physician | 2 (2.8) | 2 (2.8) | 20 (28.2) | 31 (43.7) | 16 (22.5) | |
| Total | 14 (5.8) | 24 (9.9) | 63 (25.9) | 109 (44.9) | 33 (13.6) | |
| Educational training about sepsis should be implemented in the hospital | Nurse | 13 (7.6) | 16 (9.3) | 44 (25.6) | 71 (41.3) | 28 (16.3) |
| Physician | 0 (0.0) | 3 (4.2) | 18 (25.4) | 33 (46.5) | 17 (23.9) | |
| Total | 13 (5.3) | 19 (7.8) | 62 (25.5) | 104 (42.8) | 45 (18.5) | |
| Early screening & intervention will improve outcome for sepsis patients | Nurse | 20 (11.6) | 15 (8.7) | 35 (20.3) | 55 (32.0) | 47 (27.3) |
| Physician | 2 (2.8) | 1 (1.4) | 13 (18.3) | 32 (45.1) | 23 (32.4) | |
| Total | 22 (9.1) | 16 (6.6) | 48 (19.8) | 87 (35.8) | 70 (28.8) |
Linear Regression for Predictors’ Variables of Attitudes Regarding Sepsis and Sepsis Management Among Emergency Nurses and Physicians.
| 95.0% CI for B | |||||
|---|---|---|---|---|---|
| B | T | Sig. | Lower bound | Upper bound | |
| (Constant) | 10.676 | 2.226 | .027 | 1.225 | 20.127 |
| Gender | 0.797 | 0.972 | .332 | –0.819 | 2.413 |
| Age | 1.533 | 2.067 | .040 | 0.072 | 2.995 |
| Group (nurse vs. physician) | 1.870 | 2.419 | .016 | 0.347 | 3.394 |
| Educational level | 0.389 | 0.858 | .392 | –0.504 | 1.281 |
| ED experience | –0.261 | –0.473 | .637 | –1.350 | 0.827 |
| Work experience | –0.784 | –1.068 | .287 | –2.232 | 0.663 |
| Sepsis training & CE | –0.206 | –1.004 | .316 | –0.609 | 0.198 |
| Follow a specific sepsis Management Protocol/Guidelines | –1.042 | –1.132 | .259 | –2.855 | 0.772 |
| percentage have deal with sepsis patients at the ED | –0.915 | –2.646 | .009 | –1.596 | –0.234 |
| Practice | 0.483 | 14.169 | <.001 | 0.416 | 0.550 |
| Knowledge | –0.061 | –0.369 | .713 | –0.388 | 0.266 |
Figure 3.Barriers Level regarding sepsis and sepsis management among Palestinian’s emergency Nurses and physicians.
Level of Practices Regarding Sepsis and Sepsis Management Among Palestinian’s Emergency Nurses and Physicians.
| Strongly disagree, N (%) | Disagree, N (%) | Natural, N (%) | Agree, N (%) | Strongly agree, N (%) | ||
|---|---|---|---|---|---|---|
| I use these following available laboratory investigations for sepsis/suspected patient: Blood Sugar, Blood gas analysis, Bilirubin, PT/INR, Serum Lactate, Other coagulation tests | ||||||
| Nurse | 22 (12.8) | 19 (11.0) | 33 (19.2) | 74 (43.0) | 24 (14.0) | |
| Physician | 2 (2.8) | 7 (9.9) | 12 (16.9) | 41 (57.7) | 9 (12.7) | |
| Total | 24 (9.9) | 26 (10.7) | 45 (18.5) | 115 (47.3) | 33 (13.6) | |
| I use Urinalysis or microscopy for leukocytosis as a first test for patient presents to your department with symptoms suggestive of sepsis | ||||||
| Nurse | 9 (5.2) | 22 (12.8) | 48 (27.9) | 69 (40.1) | 24 (14.0) | |
| Physician | 3 (4.2) | 10 (14.1) | 26 (36.6) | 24 (33.8) | 8 (11.3) | |
| Total | 12 (4.9) | 32 (13.2) | 74 (30.5) | 93 (38.3) | 32 (13.2) | |
| I follow the Urinalysis per week from (0 to 5 times) at Emergency department | ||||||
| Nurse | 21 (12.2) | 24 (14.0) | 56 (32.6) | 56 (32.6) | 15 (8.7) | |
| Physician | 7 (9.9) | 12 (16.9) | 27 (38.0) | 20 (28.2) | 5 (7.0) | |
| Total | 28 (11.5) | 36 (14.8) | 83 (34.2) | 76 (31.3) | 20 (8.2) | |
| I use Ceftriaxone /Flagyl as a broad-spectrum antibiotic to treatment a patient presents to your department with sepsis. | ||||||
| Nurse | 10 (5.8) | 19 (11.0) | 43 (25.0) | 73 (42.4) | 27 (15.7) | |
| Physician | 3 (4.2) | 13 (18.3) | 19 (26.8) | 29 (40.8) | 7 (9.9) | |
| Total | 13 (5.3) | 32 (13.2) | 62 (25.5) | 102 (42.0) | 34 (14.0) | |
| According the previous questions are these antibiotics available? | ||||||
| Nurse | 6 (3.5) | 15 (8.7) | 44 (25.6) | 74 (43.0) | 33 (19.2) | |
| Physician | 0 (0.0) | 3 (4.2) | 17 (23.9) | 35 (49.3) | 16 (22.5) | |
| Total | 6 (2.5) | 18 (7.4) | 61 (25.1) | 109 (44.9) | 49 (20.2) | |
| I use these indicators of inflammation to diagnose sepsis in your patients: WBC count >12 000%, WBC < 4000%,and >10% immature forms, CRP, and Plasma pro-calcitonin | ||||||
| Nurse | 9 (5.2) | 21 (12.2) | 39 (22.7) | 73 (42.4) | 30 (17.4) | |
| Physician | 0 (0.0) | 6 (8.5) | 16 (22.5) | 42 (59.2) | 7 (9.9) | |
| Total | 9 (3.7) | 27 (11.1) | 55 (22.6) | 115 (47.3) | 37 (15.2) | |
| I use Crystalloid solutions (eg, NS 0.9, & RL or Hartmann’s Solution), as a most common type of rehydration fluid in your Department. | ||||||
| Nurse | 9 (5.2) | 22 (12.8) | 45 (26.2) | 67 (39) | 29 (16.9) | |
| Physician | 1 (1.4) | 3 (4.2) | 15 (21.1) | 31 (43.7) | 21 (29.6) | |
| Total | 10 (4.1) | 25 (10.3) | 60 (24.7) | 98 (40.3) | 50 (20.6) | |
| I use Drop count when I follow the rate of flow of the IV fluid during start infusion. | ||||||
| Nurse | 10 (5.8) | 22 (12.8) | 51 (29.7) | 65 (37.8) | 24 (14.0) | |
| Physician | 3 (4.2) | 8 (11.3) | 22 (31.0) | 32 (45.1) | 6 (8.5) | |
| Total | 13 (5.3) | 30 (12.3) | 73 (30.0) | 97 (39.9) | 30 (12.3) | |
| I follow orthostatic BP when appropriate fluid resuscitation has been achieved for sepsis patient | ||||||
| Nurse | 14 (8.1) | 22 (12.8) | 50 (29.1) | 63 (36.6) | 23 (13.4) | |
| Physician | 3 (4.2) | 7 (9.9) | 21 (29.6) | 29 (40.8) | 11 (15.5) | |
| Total | 17 (7.0) | 29 (11.9) | 71 (29.2) | 92 (37.9) | 34 (14.0) | |
| I use urinary catheters to monitor UOP for severely septic patients. | ||||||
| Nurse | 12 (7.0) | 13 (7.6) | 45 (26.2) | 63 (36.6) | 39 (22.7) | |
| Physician | 0 (0.0) | 3 (4.2) | 14 (19.7) | 33 (46.5) | 21 (29.6) | |
| Total | 12 (4.9) | 16 (6.6) | 59 (24.3) | 96 (39.5) | 60 (24.7) | |
| I use this equipment that can monitor of sepsis patient: Body temperature, Noninvasive or Invasive BP, Oxygen saturation, CVP, CO, PAP, and End-tidal CO2 | ||||||
| Nurse | 9 (5.2) | 22 (12.8) | 44 (25.6) | 70 (40.7) | 27 (15.7) | |
| Physician | 0 (0.0) | 5 (7.0) | 20 (28.2) | 29 (40.8) | 17 (23.9) | |
| Total | 9 (3.7) | 27 (11.1) | 64 (26.3) | 99 (40.7) | 44 (18.1) | |
| Are these diagnostic tests available used when working for the patient with sepsis? X-Ray, Ultrasonography, and Echocardiography | ||||||
| Nurse | 17 (9.9) | 16 (9.3) | 44 (25.6) | 69 (40.1) | 26 (15.1) | |
| Physician | 2 (2.8) | 5 (7.0) | 16 (22.5) | 38 (53.5) | 10 (14.1) | |
| Total | 19 (7.8) | 21 (8.6) | 60 (24.7) | 107 (44.0) | 36 (14.8) | |
| I use these vasopressors, when working with severe sepsis progresses to septic shock: Norepinephrine, Epinephrine, Vasopressin, & Dopamine | ||||||
| Nurse | 16 (9.3) | 16 (9.3) | 49 (28.5) | 54 (31.4) | 37 (21.5) | |
| Physician | 0 (0.0) | 6 (8.5) | 13 (18.3) | 36 (50.7) | 16 (22.5) | |
| Total | 16 (6.6) | 22 (9.1) | 62 (25.5) | 90 (37.0) | 53 (21.8) | |
| I following Decreased UOP as a leader to begin an infusion of vasopressors. | ||||||
| Nurse | 6 (3.5) | 26 (15.1) | 41 (23.8) | 65 (37.8) | 34 (19.8) | |
| Physician | 4 (5.6) | 5 (7.0) | 20 (28.2) | 27 (38.0) | 15 (21.1) | |
| Total | 10 (4.1) | 31 (12.8) | 61 (25.1) | 92 (37.9) | 49 (20.2) | |
Linear Regression for Predictors’ Variables of Practices Regarding Sepsis and Sepsis Management Among Palestinian’s Emergency Nurses and Physicians.
| 95.0% CI for B | |||||
|---|---|---|---|---|---|
| B | T | Sig. | Lower Bound | Upper Bound | |
| (Constant) | 7.326 | 1.072 | .285 | –6.135 | 20.787 |
| Gender | –1.342 | –1.159 | .248 | –3.623 | 0.939 |
| Age | –0.917 | –0.868 | .386 | –2.997 | 1.164 |
| Group | –0.842 | –0.762 | .447 | –3.018 | 1.334 |
| Educational level | 0.987 | 1.548 | .123 | –0.270 | 2.244 |
| ED experience | 0.889 | 1.141 | .255 | –0.646 | 2.423 |
| Work experience | –0.771 | –0.742 | .459 | –2.818 | 1.277 |
| Sepsis training & CE | 1.023 | 3.630 | <.001 | 0.468 | 1.579 |
| Follow a specific sepsis Management Protocol/Guidelines | 1.147 | 0.881 | .379 | –1.418 | 3.712 |
| percentage have deal with sepsis patients at the ED | 0.889 | 1.806 | .072 | –0.081 | 1.859 |
| Knowledge | 0.380 | 1.629 | .105 | –0.080 | 0.839 |
| Attitudes | 0.963 | 14.169 | <.001 | 0.829 | 1.097 |