| Literature DB >> 35152935 |
Sally Farghaly1,2, Nadiah A Baghdadi1, Amira Suliman Al Anizi1.
Abstract
AIM: To assess and compare nurses' and physicians' knowledge of disaster management preparedness.Entities:
Keywords: Disaster; Management; Nurses; Physicians; Preparedness
Year: 2022 PMID: 35152935 PMCID: PMC9021579 DOI: 10.1017/dmp.2022.34
Source DB: PubMed Journal: Disaster Med Public Health Prep ISSN: 1935-7893 Impact factor: 5.556
Figure 1.Sampling flowchart.
Mean scores distribution of study subjects’ knowledge of disaster management preparedness and its stages
| Disaster management preparedness and its stages | Nursing staff | Physicians | Total | Student t-test | P-Value |
|---|---|---|---|---|---|
| Mean ± SD | Mean ± SD | Mean ± SD | |||
| Disaster preparedness stage | 3.64 ± 0.56 | 3.64 ± 0.33 | 3.64 ± 0.51 | 0.019 | 0.985 |
| a. Disaster knowledge specific to preparedness | 3.68 ± 0.55 | 3.67 ± 0.35 | 3.68 ± 0.50 | 0.381 | 0.703 |
| b. Disaster skills specific to preparedness | 3.61 ± 0.75 | 3.65 ± 0.47 | 3.62 ± 0.68 | 0.932 | 0.352 |
| c. Family preparedness for disaster | 3.39 ± 0.82 | 3.35 ± 0.77 | 3.38 ± 0.81 | 0.575 | 0.565 |
| Disaster mitigation/response stage | 3.50 ± 0.71 | 3.39 ± 0.60 | 3.47 ± 0.68 | 1.996 | 0.046 |
| a. Disaster knowledge specific to response | 3.45 ± 0.87 | 3.42 ± 0.84 | 3.44 ± 0.86 | 0.391 | 0.696 |
| b. Patient management specific to response | 3.51 ± 0.69 | 3.38 ± 0.60 | 3.47 ± 0.67 | 2.459 | 0.014 |
| Disaster recovery stage | 3.41 ± 0.70 | 3.41 ± 0.58 | 3.41 ± 0.67 | 0.102 | 0.919 |
| a. Disaster knowledge specific to recovery | 3.61 ± 0.82 | 3.61 ± 0.92 | 3.61 ± 0.85 | 0.006 | 0.995 |
| b. Management specific to recovery | 3.37 ± 0.75 | 3.37 ± 0.62 | 3.37 ± 0.72 | 0.105 | 0.916 |
| Overall disaster management Preparedness | 3.56 ± 0.59 | 3.53 ± 0.41 | 3.58± 0.63 | 0.883 | 0.377 |
Statistically significant at P ≤ 0.0.
Correlation between study subjects’ demographic and work-related characteristics and their knowledge of disaster management preparedness stages
| Demographic and work-related characteristics | Nursing staff (n = 549) | Physicians (n = 205) | ||||
|---|---|---|---|---|---|---|
| Disaster preparedness stage | Disaster mitigation/response stage | Disaster recovery stage | Disaster preparedness stage | Disaster mitigation/response stage | Disaster recovery stage | |
| Age (y) | ||||||
| <30 | 3.57 ± 0.56 | 3.49 | 3.29 ± 0.41 | 3.69 ± 0.25 | 3.44 ± 0.54 | 3.45 ± 0.51 |
| 30– 40 | 3.73 ±0.51 | 3.74 ± 0.60 | 3.71 ± 0.61 | 3.60 ± 0.41 | 3.34 ± 0.67 | 3.37 ± 0.66 |
| >40 | 3.54 ± 0.62 | 3.05 ± 0.85 | 2.98 ± 0.86 | 3.61 ± 0.26 | 3.38 ± 0.57 | 3.44 ± 0.52 |
| F(p) | 6.839 | 49.085 | 62.989 | 1.724 (0.181) | 0.570(0.566) | 0.471(0.625) |
| Level of education | ||||||
| Diploma degree | 3.73 ± 0.79 | 3.38 ± 1.18 | 3.25 ± 1.07 | – | – | – |
| Bachelor degree | 3.61 ± 0.51 | 3.50 ± 0.62 | 3.42 ± 0.63 | 3.63 ± 0.35 | 3.38 ± 0.61 | 3.41 ± 0.58 |
| Master degree | 4.88 ± 0.0 | 4.57 ± 0.0 | 4.33 ± 0.0 | 3.69 ± 0.22 | 3.42 ± 0.56 | 3.41 ± 0.56 |
| F(p) | F = 11.508 | F = 5.503 | F = 5.332 | t = 1.295 | t = 0.364 | t = 0.027 |
| Working units | ||||||
| Surgical | 3.59 ± 0.05 | 3.25 ± 0.13 | 3.41 ± 0.42 | 3.63 ± 0.40 | 3.04 ± 0.81 | 2.92 ± 0.79 |
| ICU/NICU | 4.73 ± 0.37 | 4.57 ± 0.36 | 4.06 ± 0.27 | 3.54 ± 0.27 | 3.21 ± 0.53 | 3.34 ± 0.57 |
| Medical | 3.61 ±0.55 | 3.72 ± 0.60 | 3.53 ± 0.74 | 3.67 ± 0.34 | 3.53 ± 0.51 | 3.52 ± 0.37 |
| F(p) | 65.639 | 70.385 | 27.486 | 2.973 | 4.630 | 4.159 |
| Years of experience | ||||||
| <5 | 3.64 ± 0.0 | 3.36 ± 0.0 | 3.0 ± 0.0 | 3.76 ± 0.15 | 3.50 ± 0.12 | 3.79 ± 0.25 |
| 5-10 | 3.75 ± 0.54 | 3.73 ± 0.60 | 3.62 ± 0.59 | 3.70 ± 0.35 | 3.51 ± 0.62 | 3.45 ± 0.57 |
| >10 | 3.46 ± 0.57 | 3.15 ± 0.76 | 3.12 ± 0.78 | 3.51 ± 0.31 | 3.18 ± 0.59 | 3.25 ± 0.59 |
| F(p) | 17.530 | 49.625 | 40.876 | 9.068 | 7.686 | 8.018 |
Note: t, Student t-test; F, F for ANOVA test; p, P-value for association between different categories.
Statistically significant at P ≤ 0.05.
Mixed linear regression models of demographic and work-related characteristics and overall of nurse’s and physician’s knowledge of disaster management preparedness
| Groups | Items | Unstandardized coefficients | Standardized coefficients | t | P-Value | Collinearity | ||
|---|---|---|---|---|---|---|---|---|
| B | SE | Beta | Tolerance | VIF | ||||
| Nurses | Constant/ predictor
| 70.899 | 5.092 | 13.924* | <0.001* | |||
| Age | 0.204 | 0.139 | 0.086 | 1.474 | 0.141 | 0.484 | 2.064 | |
| Sex (female) | – | – | – | – | – | – | – | |
| Level of education | 2.813 | 1.849 | 0.063 | 1.521 | 0.129 | 0.949 | 1.053 | |
| Years of experience | 9.655 | 1.543 | 0.357 | 6.256* | <0.001* | 0.507 | 1.974 | |
| Previous training | 4.880 | 1.386 | 0.153 | 3.521* | <0.001* | 0.874 | 1.145 | |
| ANOVA(c) | R square (R
| Adjusted R square | SE of the estimate | F | Sig. | |||
| 0.101 | 0.095 | 14.123 | 15.330* | <0.001* | ||||
| Physicians | Constant/ predictor
| 55.524 | 8.310 | 6.682* | <0.001* | |||
| Age | 0.233 | 0.172 | 0.138 | 1.355 | 0.177 | 0.408 | 2.451 | |
| Sex (female) | 2.764 | 3.235 | 0.059 | 0.854 | 0.394 | 0.901 | 1.110 | |
| Level of education | 6.634 | 2.414 | 0.251 | 2.748* | 0.007* | 0.508 | 1.969 | |
| Years of experience | 8.153 | 1.498 | 0.507 | 5.444* | <0.001* | 0.489 | 2.044 | |
| Previous training | -2.222 | 1.431 | -0.102 | 1.552 | 0.122 | 0.986 | 1.014 | |
| ANOVA
| R square (R
| Adjusted R square | SE of the estimate | F | Sig. | |||
| 0.156 | 0.134 | 9.472 | 7.333* | <0.001* | ||||
Predictors: (constant), age, sex, education, experience, and training.
Dependent variable: overall disaster management preparedness.