| Literature DB >> 35854268 |
Islam Azizpour1, Saeid Mehri2, Aghil Habibi Soola3.
Abstract
BACKGROUND: Hospital and pre-hospital emergency nurses are at the forefront of disaster response. Disaster incidents continue to pose a threat to healthcare systems by exposing them to an overwhelming surge of patients.Entities:
Keywords: Disaster preparedness; Hospital emergency nurses; Pre-hospital emergency nurses; Triage decisions
Mesh:
Year: 2022 PMID: 35854268 PMCID: PMC9296334 DOI: 10.1186/s12913-022-08311-9
Source DB: PubMed Journal: BMC Health Serv Res ISSN: 1472-6963 Impact factor: 2.908
Demographic characteristics of emergency nursing staff (N = 472)
| Variables | N | % | Mean ± SD | ||
|---|---|---|---|---|---|
| 2.95 ± .710 | |||||
| Male | 247 | 52.3 | 3.01 ± .695 | t = 1.912 | |
| Female | 225 | 47.7 | 2.88 ± .722 | ||
| Single | 163 | 34.5 | 2.99 ± .748 | t = 0.898 | |
| Married | 309 | 65.5 | 2.93 ± .689 | ||
| ≤5 years | 194 | 41.1 | 2.94 ± .719 | ||
| 6–10 years | 132 | 28.0 | 2.97 ± .706 | ||
| 11–15 years | 89 | 18.9 | 2.87 ± .659 | ||
| 16–20 years | 44 | 9.3 | 3.03 ± .644 | ||
| > 20 years | 13 | 2.8 | 3.13 ± 1.12 | ||
| ≤5 years | 270 | 57.2 | 2.90 ± .702 | ||
| 6–10 years | 123 | 26.1 | 3.08 ± .683 | ||
| 11–15 years | 56 | 11.9 | 2.78 ± .709 | ||
| 16–20 years | 16 | 3.4 | 2.95 ± .555 | ||
| > 20 years | 7 | 1.5 | 3.69 ± 1.13 | ||
| Fixed work shift rotating shifts | 59 | 12.5 | 3.02 ± .765 | t = 0.810 | |
| 413 | 87.5 | 2.94 ± .702 | |||
| Associate degree | 48 | 10.2 | 2.93 ± .645 | ||
| Bachelor | 401 | 85.00 | 2.96 ± .716 | ||
| Master or PhD | 23 | 4.8 | 2.86 ± .756 | ||
| EDd | 320 | 67.8 | 2.89 ± .706 | t = − 2.572 | |
| EMSe | 152 | 32.2 | 3.07 ± .706 | ||
| Yes | 368 | 75.00 | 3.03 ± .689 | t = 4.759 | |
| No | 104 | 22.00 | 2.66 ± .712 | ||
| Yes | 405 | 85/8 | 2.99 ± .705 | t = 2.928 | |
| No | 67 | 14.2 | 2.71 ± .700 | ||
| Yes | 356 | 75.4 | 3.02 ± .699 | t = 4.052 | |
| No | 116 | 24.6 | 2.72 ± .699 | ||
| No course | 106 | 22.5 | 2.68 ± .725 | ||
| Hospital disaster Management Course | 80 | 16.9 | 3.09 ± .598 | ||
| In-service training | 198 | 41.9 | 2.95 ± .730 | ||
| disaster Workshop | 88 | 18.6 | 3.12 ± .654 | ||
| Yes | 393 | 83.3 | 2.98 ± .690 | t = 2.457 | |
| No | 79 | 16.7 | 2.77 ± .783 | ||
| Center of province | 327 | 69.3 | 2.96 ± .672 | t = 0.568 | |
| Countryside | 145 | 30.7 | 2.92 ± .791 |
acorrelation test
bT-test
cANOVA
dEmergency Department
eEmergency Medical Services
Mean of the scores and Coefficient α obtained from disaster preparedness information (N = 472)
| Subsets | Mean ± Standard Deviation | Coefficient α |
|---|---|---|
| Incident command system | 3.07 ± 0.84 | 0.90 |
| Triage | 3.45 ± 0.77 | 0.87 |
| Communication and connectivity | 2.95 ± 0.83 | 0.89 |
| Vulnerable population and psychological problems | 2.94 ± 0.83 | 0.89 |
| Isolation, quarantine, and decontamination | 2.76 ± 0.92 | 0.90 |
| Accessing critical resources and reporting | 2.81 ± 0.93 | 0.87 |
| Epidemiology and clinical decision making | 2.79 ± 0.89 | 0.86 |
| Biological agent detection | 2.56 ± 0.95 | 0.90 |
| Self-reported overall familiarity | 2.80 ± 0.95 | a |
| Calculated overall familiarity | 2.95 ± 0.71 | 0.97 |
The (a) indicates single response item
Descriptive statistics and Correlations of the study variables (N = 472)
| Variable | Mean ± SD | 1 | 2 | 3 | 4 | 5 |
|---|---|---|---|---|---|---|
| 2.95 ± 0.71 | 1.00 | |||||
| 117.71 ± 19.57 | 0.532a | 1.00 | ||||
| Cognitive Abilities TDMI | 63.86 ± 11.33 | 0.453a | 0.931a | 1.00 | ||
| Intuition TDMI | 27.91 ± 6.44 | 0.437a | 0.727a | 0.467a | 1.00 | |
| Experience TDMI | 25.94 ± 4.97 | 0.493a | 0.869a | 0.777a | 0.501a | 1.00 |
1 = Total EPIQ
2 = Total TDMI
3 = Cognitive Abilities TDMI
4 = Intuition TDMI
5 = Experience TDMI
aCorrelation is significant at the 0.01 level
Multiple linear regression predicting disaster Preparedness knowledge (N = 472)
| Variables | B | Std. Error | Beta | T | Sig |
|---|---|---|---|---|---|
| Cognitive Abilities TDMI | 0.008 | 0.004 | 0.128 | 2.058 | 0.040 |
| Intuition TDMI | 0.024 | 0.005 | 0.215 | 4.867 | 0.000 |
| Experience TDMI | 0.040 | 0.009 | 0.278 | 4.431 | 0.000 |
| Gender | 0.083 | 0.064 | −0.058 | −1.294 | 0.196 |
| Age | 0.016 | 0.007 | −0.137 | − 2.312 | 0.021 |
| Level of Education | 0.083 | 0.072 | 0.047 | 1.157 | 0.248 |
| Years working as an emergency nurse | 0.011 | 0.009 | 0.071 | 1.193 | 0.233 |
| Workplace | 0.003 | 0.006 | −0.027 | − 0.530 | 0.596 |
| Residence | 0.039 | 0.017 | −0.093 | −2.330 | 0.020 |
| Triage training | 0.157 | 0.101 | 0.083 | 1.553 | 0.121 |
| Training organization | 0.86 | 0.039 | 0.131 | 2.175 | 0.030 |
| Passing special management or care courses in disaster preparedness | 0.040 | 0.030 | 0.058 | 1.318 | 0.188 |
| Training in disaster preparedness | 0.204 | 0.077 | −0.199 | −2.466 | 0.009 |
| Worked during a disaster | 0.163 | 0.066 | −0.099 | −2.466 | 0.014 |
R = 0.600
R square = 0.360
F = 18.38
p = 0.000