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Open Access 01.12.2024 | Research

The associated factors of disaster literacy among nurses in China: a structure equation modelling study

verfasst von: Yan Yang, Yuping Zhang, Yuanfei Liu, Qian Li, Lizhu Wang, Yong Du, Meijuan Lan, Jingfen Jin

Erschienen in: BMC Nursing | Ausgabe 1/2024

Abstract

Aims

To examine the association of disaster literacy with collectivism, social support, psychological resilience and self-efficacy among nurses and analyze the influencing mechanisms among these factors.

Background

Nurses’ disaster literacy is important for future preparation. However, there is a paucity of research in this field.

Methods

From January to August 2023, we recruited 1573 nurses in 15 hospitals in Zhejiang province, China using convenient sampling. Based on Social-Ecological Model, questionnaires regarding collectivism, social support, psychological resilience, self-efficacy and disaster literacy were distributed via online platform. Data were analyzed using structural equation model to examine the relationships between the study variables.

Results

Nurses had a medium level of disaster literacy with the lowest score in critical literacy. Nurses’ collectivism not only had positive direct effect on disaster literacy, but also had indirect pathways from social support, psychological resilience and self-efficacy to influence the level of disaster literacy.

Conclusions

Multilevel factors including collectivism, social support, psychological resilience and self-efficacy were associated with disaster literacy. Understanding the influencing mechanism would inform effective interventions.

Implications for nursing management

Our findings illustrate the importance for nurse managers, administrators and authorities to work together to develop and implement effective nursing curriculum and training programs to improve nurses’ disaster literacy for future preparation.
Hinweise

Publisher’s note

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Background

Disasters often happen unexpectedly leading to serious human, material, economic and environmental losses and impacts [1]. The world has witnessed various unprecedented disasters and public emergency such as COVID-19 pandemic, Ebola outbreak, Zika virus disease and regional wars. It was reported that over 42,000 health professionals fought in the frontline during the peak of the pandemic in Wuhan China in 2020, of which 68% were nurses [2]. As the largest group of healthcare professionals, nurses tend to actively engage in national disaster response and public safety. However, disaster emergency usually sharply contrasts with routine clinical practice and involves challenges of totally new contexts. For example, nurses reported feeling powerless to deal with patients’ conditions during the COVID-19 crisis [3], which might lead to high prevalence of emotional, physical, and mental exhaustion. As shown in a large-scale nationwide survey, 34%, 55.5% and 41.8% nurses reported burnout, depression and anxiety, respectively [4]. A recent qualitative study found that nurses attached importance to disaster literacy as crisis management goes beyond being mere clinical nursing and consists of multidimensional skills such as coordination, problem-solving and social responsibilities [5]. Another umbrella review indicated that disaster literacy is essential for empowering nurses to make critical decisions, collaborate with other professionals, and communicate effectively in emergencies. This is not only crucial for responding to the immediate medical needs but also for handling the psychological and emotional challenges nurses face in the aftermath of such events [6]. Therefore, their disaster literacy serves as a critical component to enhance effective disaster risk management and strengthen public health emergency preparedness and response [7].
Literacy is a complex and dynamic concept with a broader meaning of being knowledgeable or educated in a specific area and a common view as the abilities to read and write text [8]. It should be noted that literacy is not equivalent to the acquisition of knowledge, skill and ability only. Instead, it encompasses the capacity to utilize psychosocial resources effectively in complex situations and integrate knowledge, attitude and values in problem-solving [9]. It is important to distinguish disaster literacy from other types of literacy (e.g., health literacy) and literacy in general. Although there are various definitions of disaster-related literacy such as disaster prevention literacy defined by Chen et al. [10] and disaster risk literacy defined by Hung et al. [11], these concepts only focus on individual’s competencies for survival purpose in the context of disaster risk. In 2014, Brown et al. proposed a conceptual definition of disaster literacy referring to individuals’ capacity to identify, comprehend and utilize information to make decisions in prevention, preparation, response, and recovery when encountering a disaster [12]. Recently, Çalışkan et al. proposed a more comprehensive definition and integrated model of disaster literacy exhibiting the phases of disasters and the perspective of life course [13]. It emphasized that individual’s skills and ability in the phase of prevention, preparation, response, and recovery are shaped throughout life. This conceptual framework informs public health nursing practice. Adapted from previous literature, nurses’ disaster literacy means that they are equipped with the knowledge and skills, confidence and responsibility as well as the ability of decision-making to handle stressful situations and take action against risk reduction [14]. However, previous studies have shown that nurses have insufficient disaster literacy. A cross-sectional study in Sweden found that nurses in Emergency Department had low level of disaster competency and may overestimate their disaster preparedness [14]. Similarly, another study in Turkey showed that nurses were not prepared for disasters due to a lack of training [15]. This evidence implied that nurses with limited disaster literacy may struggle to provide appropriate care during emergencies and experience heightened stress and anxiety when they feel unprepared for disaster situations. This could further negatively impact patient outcomes during a major incident. Therefore, understanding the associated factors of disaster literacy in nurses would inform what strategies can be taken to better prepare nurses for effective response to disasters.
The Social-Ecological Model is a well-established framework that examines the complex interplay of multiple systems that influence one’s behaviour [16]. From the individual perspective, psychological resilience and self-efficacy are important factors as they play a role in individuals’ ability to adapt to and cope with stressors as well as maintain a positive attitude. When responding to disasters, nurses often face tremendous psychological pressure and may suffer from negative emotional problems such as depression, anxiety and post-traumatic stress disorder [4]. However, nurses with higher level of psychological resilience and self-efficacy are more likely to be confident about their understanding of the crisis [17], have perceived competence and exert effective coping strategies in disaster events [18]. Moreover, research has shown that there is a positive association between self-efficacy and psychological resilience [19, 20]. Self-efficacy could empower individuals to face difficulties with confidence and adaptability, indicating that resilience can be potentially built by strengthening self-efficacy. As psychological resilience and self-efficacy are dynamic recourses, enhancing these individual factors would improve nurses’ response efficacy and disaster preparedness [21] and thus may influence disaster literacy.
Moreover, social support is conceptualized as an interpersonal process with a focus on thriving, which helps individuals cope successfully with adversities [22]. A considerable body of research has shown that there is a significant negative correlation between social support and various mental health problems [2325]. This indicates that good social support can effectively reduce the occurrence of traumatic experience in nurses and motivate them to respond to disaster events. Meanwhile, the association between social support and psychological recourses such as resilience and self-efficacy in nurses is well-documented [26, 27]. For example, a recently study showed that perceived social support has a positive impact on psychological resilience and self-efficacy [28].It is plausible that social support can enhance an individual’s psychological resources. Nurses with higher level of social support are more likely to utilize assistance from family, friends and colleagues and gain confidence and courage to face adversity [27]. This indicates that they may be more willing to be engaged in difficult tasks such as disaster events and have higher level of disaster literacy.
In terms of organizational and societal factors, culture fundamentally shapes how people respond to crises such as the COVID-19 pandemic. Collectivism, as a cultural value, defines individuals as parts of groups and emphasizes prioritization of collective goals [29]. Collectivist cultures often emphasize strong social bonds and shared responsibilities. A study on 240 nurses during COVID-19 found that collectivism will affect nurses’ willingness to care. Nurses with higher levels of collectivism have stronger ties with society and are more likely to respond to disasters [30]. Besides, collectivism can predict positive coping style and lower psychological maladjustment during the COVID-19 [31]. When facing challenges, people work together toward common objectives, fostering resilience at the individual level [32]. This evidence indicates its pathways through interpersonal and individual resources. With the globalization, disaster events are more serious than at any time. In the face of major disasters, no individual or country can survive alone. Major disasters often overwhelm the resources and capabilities of any single entity. Collective action and international cooperation are essential to effectively respond to and recover from such events [33]. Existing evidence indicates that nurses who embrace collectivism are more likely to prioritize group goals over individual ones, leading to better teamwork and more effective disaster response [34]. Therefore, collectivism would be an important factor associated with disaster literacy both directly and indirectly.
During the post-COVID era, it is necessary to enhance nurses’ disaster literacy for future preparation. However, there is a paucity of research in this field. The Social-Ecological Model recognizes the interplays of individual, interpersonal and societal factors. Collectivism, social support, resilience, and self-efficacy all play crucial roles in shaping human behavior within this framework. Understanding the influencing factors of disaster literacy based on the Social-Ecological Model would inform multilevel interventions to promote preparedness and efficacy in crisis management. This study aims to examine the factors associated with disaster literacy in nurses from micro (individual), meso (interpersonal) and macro (organizational and societal) levels and analyze the influencing mechanisms among these factors. The hypotheses are shown in Fig. 1.
Hypothesis 1
Direct effect: Collectivism is positively related to disaster literacy.
Hypothesis 2
Mediating effect: Collectivism indirectly influences disaster literacy through social support.
Hypothesis 3
Mediating effect: Collectivism indirectly influences disaster literacy through psychological resilience.
Hypothesis 4
Mediating effect: Collectivism indirectly influences disaster literacy through self-efficacy.
Hypothesis 5
Series mediating effect: Collectivism indirectly influences disaster literacy through social support and psychological resilience.
Hypothesis 6
Series mediating effect: Collectivism indirectly influences disaster literacy through social support and self-efficacy.
Hypothesis 7
Series mediating effect: Collectivism indirectly influences disaster literacy through self-efficacy and psychological resilience.

Methods

Participants and setting

We conducted a multicenter cross-sectional study using convenient sampling from January to August 2023. Participants were recruited from 15 hospitals in Zhejiang province in China. The included criteria were nurses who (a) were registered with license, (b) worked in clinical setting, and (c) participated in the research voluntarily. Nurses who were having an internship or training program were excluded. The number of study variables (including dummied variables and subscales) was 51. The sample size was determined by 15 ~ 20 participants per variable which was 765 ~ 1020. To avoid invalid answers, it was enlarged by 20% as 918 ~ 1224. This met the requirement for conducting structural equation model [35]. Considering the future subgroup analysis, we chose the upper value as minimum sample size. Finally 1600 questionnaires were collected with 1573 of them valid. The eligible proportion was 98.3%.

Measurement

Self-designed survey was used to measure participants’ basic information including gender, age, education level, marital status, years of working, job position, department and experience in disaster events.
Clinical Nurses Disaster Literacy Scale was used to assess nurses’ disaster literacy. It was developed by Zhang et al. [36] based on disaster literacy conceptualization [6] and health literacy theory [37]. There are 34 items and three subscales including functional (e.g., knowledge and skills), interactive (e.g., motivation and confidence), and critical (e.g., analyze and apply information) literacy. It was rated by Likert 10-point scale from 1 (completely disagree) to 10 (completely agree), with higher scores indicating higher level of disaster literacy. The validated Chinese version was used [36]. The Cronbach α of this scale in our study was 0.985.
Collectivism Scale was used to measure nurses’ collectivism [38] including 32 items and four subscales: vertical collectivism, horizontal collectivism, vertical individualism and horizontal individualism. Vertical Collectivism emphasizes hierarchy within the group (e.g., It is important that I respect the decisions made by my groups) whereas horizontal Collectivism focuses on equality within the group (e.g., If a coworker gets a prize, I would feel proud). Vertical Individualism recognizes individual autonomy (e.g., It is important that I do my job better than others) whereas horizontal Individualism values individual uniqueness (e.g., I often do my own thing) [38]. It was rated by Likert 5-point scale from 1 (completely disagree) to 5 (completely agree), with higher scores indicating higher level of collectivism. The validated Chinese version was used [39]. The Cronbach α of this scale in our study was 0.957.
Perceived Social Support Scale was used to assess nurses’ social support [40] including 12 items and three subscales: the support from friend, family and others. It was rated by Likert 7-point scale from 1 (completely disagree) to 7 (completely agree), with higher scores indicating higher level of social support. The validated Chinese version was used [41]. The Cronbach α of this scale in our study was 0.980.
The 10-item brief Connor-Davidson Resilience Scale [42] was used to measure nurses’ psychological resilience. It was rated by Likert 5-point scale from 0 (never) to 4 (always), with higher scores indicating higher level of psychological resilience. The validated Chinese version was used [43]. The Cronbach α of this scale in our study was 0.960.
General self-efficacy scale was used to measure nurse’ self-efficacy [44]. It includes 10 items rated by Likert 4-point scale from 1 (completely disagree) to 4 (completely agree), with higher scores indicating higher level of self-efficacy. The validated Chinese version was used [44]. The Cronbach α of this scale in our study was 0.947.

Data collection

We reached out to nurse managers of the department of nursing in each hospital and explained the purpose of the study. One of the nurses in each hospital was selected as research staff to assist with data collection. Informed consent was obtained from each participant online. Questionnaires were distributed via an online platform (Questionnaire Star: https://​www.​wjx.​cn). We did not set optional questions to avoid missing data. The minimum time for completing the questionnaire was set as 5 min to avoid invalid information. There was only once for each IP address to finish the questionnaire. All the participants completed the anonymous questionnaires independently. We collected 1600 questionnaires and excluded the questionnaires with all the same answers. Finally, 1573 questionnaires were used for analyses.

Data analysis

Data analyses were performed using SPSS 22.0 and AMOS 24.0. The normality of the distribution of continuous variables was tested using the Kolmogorov-Smirnov test. Since data in our study were normally distributed, we described mean and standard deviation (SD) for continuous variables and frequency and percentage for categorical variables. Univariate analyses were conducted using two independent sample t test or one-way ANOVA to compare the differences of nurses’ disaster literacy according to the demographic variables. Pearson correlation coefficients between study variables were calculated. Structural equation model using maximum-likelihood estimation was performed to examine the relationships between these variables controlled for significant demographic variables. The measurement model was deemed as satisfactory if composite reliability ≥ 0.7, average variance extracted (AVE) per construct (convergent validity) ≥ 0.5 and AVE for each construct ≥ the squared correlations with all other constructs (discriminate validity) [45]. The structural model fit were evaluated according to the following standards: χ2 / degrees of freedom < 3.0, standardized root mean square residual (SRMR) < 0.08, goodness-of-fit index (GFI) > 0.90, comparative fit index (CFI) > 0.90 and Tucker-Lewis index (TLI) > 0.90 [46]. We adopted bootstrapping approach with 1000 sample sizes to estimate indirect pathways. The level of significance was set as P ≤ 0.05.

Results

Participant characteristics

Among the 1573 nurses, most of them were female (95.0%), 18–29 years (44.2%), held baccalaureate degree as highest education level (94.2%). 53.0% of the nurses had experience in disaster events previously. The average score of disaster literacy was 257.54 ± 49.66. Nurses scored highest in the interactive literacy (average score per item 8.30 ± 1.41), followed by functional literacy (7.46 ± 1.47) and critical literacy (7.18 ± 1.81). The results of univariate analysis showed that age, marital status, job position, years of working, experience in disaster events, number of experience and duration of experience were significant factors associated with disaster literacy (Table 1).
Table 1
Participant characteristics (n = 1573)
  
Number
Percentage
Mean
SD
t/F
P
Age
18–29 years
695
44.20
247.52
49.12
23.313
<0.001***
 
30–39 years
627
39.90
261.24
49.67
  
 
40–49 years
209
13.30
275.22
44.4
  
 
≥ 50 years
42
2.70
280.24
44.56
  
Gender
Male
78
5.00
263.17
50.59
1.026
0.305
 
Female
1495
95.00
257.25
49.61
  
Marital status
Single
685
43.50
247.38
49.81
27.383
<0.001***
 
Married
868
55.20
265.01
48.1
  
 
Divorced
20
1.30
281.60
47.15
  
Education level
Certificate
32
2.00
242.92
52.03
1.009
0.383
 
Bachelor
1481
94.20
257.51
49.8
  
 
Master and above
60
3.80
263.67
45.59
  
Department
Emergency
89
5.70
257.87
50.07
1.809
0.108
 
ICU
209
13.30
258.11
55.32
  
 
Internal
393
25.00
253.77
50.75
  
 
Surgical
633
40.20
256.70
47.51
  
 
Operating room
91
5.80
268.91
43.95
  
 
Other
158
10.00
262.80
49.64
  
Job position
Nurse manager
44
2.80
289.10
28.35
15.1
<0.001***
 
Nurse-in-charge
739
47.00
264.99
48.09
  
 
Nurse practitioner
511
32.50
249.71
52.24
  
 
Nurse
279
17.70
247.32
46.15
  
Years of working
< 1 year
199
12.70
242.87
43.34
16.365
<0.001***
 
1–2 years
186
11.80
247.67
52.76
  
 
3–5 years
219
13.90
253.30
51.09
  
 
6–10 years
426
27.10
252.81
50.1
  
 
11–15 years
280
17.80
267.83
49.59
  
 
> 15 years
263
16.70
275.87
42.57
  
Experience in disaster events#
Yes
834
53.00
265.74
48.39
7.062
<0.001***
 
No
739
47.00
248.29
49.47
  
Number of experience##
Once
379
45.40
258.69
50.22
6.383
<0.001***
 
Twice
207
24.80
265.04
49.03
  
 
Three times
92
11.00
270.46
45.90
  
 
Four times
28
3.40
286.25
42.21
  
 
≥ Five times
128
15.30
279.86
40.05
  
Duration of experience##
Less than 1 week
147
17.60
263.64
48.80
2.764
0.017*
 
1 week – 1 month
260
31.20
260.02
51.04
  
 
1–3 months
287
34.40
266.00
47.10
  
 
3–6 months
70
8.40
274.90
44.93
  
 
6–12 months
18
2.20
284.89
33.22
  
 
More than 1 year
52
6.20
279.87
45.07
  
#Disaster events included fire, earthquake, blaster, COVID-19 pandemic, etc
##The denominator is the number of people who had experience in disaster events
*P<0.05, **P<0.01, ***P<0.001

Measurement model

There were significant moderate correlations between disaster literacy and collectivism (r = 0.599, P < 0.001), social support (r = 0.587, P < 0.001), psychological resilience (r = 0.672, P < 0.001) and self-efficacy (r = 0.611, P < 0.001). The composite reliability and AVEs of all the variables were above 0.7 and 0.5, indicating satisfactory reliability and convergent validity. The AVE for each construct is higher than the squared correlations with all other constructs, suggesting satisfactory discriminate validity. The Standardized factor loadings were all above 0.6 (Table 2).
Table 2
Descriptions of study variables (n = 1573)
Variable
Subscale
Lowest score
Highest score
Mean
SD
Standardized factor loading
AVE
CR
Disaster literacy
Functional
23
120
89.48
17.59
0.616–0.797
0.589
0.945
Interactive
19
90
74.68
12.67
0.557
0.918
Critical
15
130
93.38
23.51
0.580
0.947
Collectivism
 
47
112
87.19
13.96
0.633–0.863
0.529
0.947
Social support
Friend
4
28
22.57
3.85
0.728–0.869
0.573
0.843
Family
6
28
22.51
4.02
0.606
0.859
Others
4
28
22.18
3.93
0.528
0.817
Psychological resilience
 
14
50
36.76
6.43
0.687–0.793
0.574
0.931
Self-efficacy
 
10
40
29.07
4.73
0.701–0.816
0.546
0.923
SD: standard deviation; CR: composite reliability; AVE: average variance extracted

Structural model

The pathways in our hypothetic graph were all significant (P < 0.001). This model showed an acceptable fit: χ2/df = 1.758<3, SRMR = 0.021, CFI = 0.984, TLI = 0.983 and GFI = 0.959. The coefficients are shown in Fig. 2. The direct effect of collectivism on disaster literacy was 0.161, which accounted for 24.69% of total effect. There were significant mediating effects of collectivism via social support and/or psychological resilience or self-efficacy on nurses’ disaster literacy, accounting for 75.31% of total effect. Among the indirect effects, the single mediating effects via social support / psychological resilience / self-efficacy on disaster literacy were 0.102, 0.076 and 0.106, accounting for 39.57% of total effect. The series mediating effects accounted for 35.74% of total effect. Standardized path estimates are summarized in Table 3; Fig. 2.
Table 3
Structure model of study variables (n = 1573)
Effect
Path
Estimate
P
Bootstrapping
95%CI
Ratio (%)
Lower
Upper
Direct
C→DL
0.161
<0.001
0.093
0.238
24.69
Mediator
C→SS→DL
0.102
<0.001
0.046
0.165
15.64
C→PR→DL
0.072
<0.001
0.047
0.102
11.04
C→SE→DL
0.106
<0.001
0.075
0.143
16.26
Series mediator
C→SS→PR→DL
0.080
<0.001
0.058
0.109
12.27
C→SS→SE→DL
0.099
<0.001
0.071
0.131
15.18
C→SE→PR→DL
0.032
<0.001
0.021
0.047
4.91
Total
C→DL
0.652
<0.001
0.581
0.732
 
C: collectivism, SS: social support, PR: psychological resilience, SE: self-efficacy, DL: disaster literacy

Discussion

Overall, this large-scale study investigated disaster literacy and associated factors in nurses, which is critical competence in post-pandemic era for future preparation. The results showed that nurses had a medium level of disaster literacy with the lowest score in critical literacy, indicating the need to improve their critical thinking and decision-making when facing disaster events. Multilevel factors including macro (collectivism), meso (social support) and micro (psychological resilience and self-efficacy) were associated with disaster literacy. There were different influencing mechanisms among these factors. Collectivism was positively associated with disaster literacy and indirectly influenced disaster literacy through social support, psychological resilience and self-efficacy.
The medium level of disaster literacy in our study was consistent with previous research examining disaster preparedness in both developed countries [47, 48] and developing areas [4951]. This indicates the need to strengthen nurses’ disaster literacy on an international scale. In this study, nurses had the highest score in interactive literacy which reflected their motivation and confidence and the lowest score in critical literacy which means the ability to analyze and apply information in disaster response. Similarly, nurses scored lowest in disaster management in another studies [52, 53]. This suggests that nursing leadership and knowledge transformation skills need to be incorporated into nursing education the training for disaster literacy.
This study showed that collectivism not only had positive direct effect on disaster literacy, but also had indirect pathways from social support, psychological resilience and self-efficacy to influence the level of disaster literacy in nurses, indicating the mediating role meso (social support) and micro (psychological resilience and self-efficacy) variables. Collectivism is rooted in the long history of Asian culture and has a profound impact on individuals’ values and behavioral intentions. When facing unprecedented public emergencies, nurses tend to give priority to the interests of the country and even all mankind and actively engage in building a community with a shared future [54]. Furthermore, social support was a mediator between collectivism and disaster literacy. A systematic review showed that collectivistic leadership in healthcare can lead to better staff engagement and team performance [55]. This evidence indicates that nurses with a high sense of collectivism may be more likely to obtain support from the organization and community. Meanwhile, teamwork and collective honor may enhance nurse’s utilization of support, which helps them better cope with stress and challenges and demonstrate effective disaster response [56].
In addition, there were mediating effects of psychological resilience and self-efficacy between the pathways from collectivism and/or social support to disaster literacy. This indicates that mediators at individual level (psychological resilience and self-efficacy) can explain the relationships between interpersonal and societal factors (collectivism and social support) and disaster literacy. This was consistent the scope of disaster literacy which consists of the capacity to utilize psychosocial resources effectively in complex situations. Specifically, collective values and social support may enhance nurses’ confidence in coping with difficulties, so that they are more likely to show positive emotional regulation and adaptability and have better resilience in the face of disaster situations [57]. This means that nurses with high resilience are more likely to effectively use social support and collectivist values to improve their understanding and preparedness for disasters. Moreover, nurses may also be more inclined to believe that they are able to provide assistance to the patients, team and community. This belief can enhance their self-confidence in disaster response and make them more likely to take positive actions in disaster management [19]. Therefore, self-efficacy can mediate the relationship by enhancing the confidence individuals have in their ability to use social support and collectivist values to improve their disaster literacy [58].However, there are some limitations in this study. Firstly, the cross-sectional design fails to examine causal relationships which indicates the need of longitudinal research to investigate the predictors of subsequent disaster literacy. Secondly, there may be other factors that have not been considered but could contribute to disaster literacy in nurses. More potential mechanisms could be explored to inform effective interventions. Despite the limitations, our study provides evidence that can be used to develop education and training strategies to improve nurses’ disaster literacy. Further studies should be done to examine the effectiveness of such training with the purpose to improve frontline nurses’ response to future disaster events.

Conclusion

Nurses demonstrated relative poor disaster literacy. Multilevel factors including collectivism, social support, psychological resilience and self-efficacy were associated with disaster literacy. Our findings illustrate the importance for nurse administrators, authorities and policy makers to work together to develop and implement effective nursing curriculum and training programs to improve nurses’ disaster literacy for future preparation.

Implications

Our findings illustrate the critical importance for nurse managers, administrators, and authorities to collaborate closely in the development and implementation of effective nursing curricula and training programs aimed at improving disaster literacy among nurses. This collaboration should involve a comprehensive assessment of current educational gaps and needs in disaster preparedness. By integrating up-to-date, evidence-based practices and guidelines, these curricula can ensure that nurses are equipped with the essential knowledge and skills required to respond effectively to disasters.

Acknowledgements

We would like to acknowledge the participants of the nurses in the study.

Declarations

We received ethics approval from the Second Affiliated Hospital Zhejiang University School of Medicine (No. 2020 − 205). The study followed the Declaration of Helsinki and ensured the ethical principles of anonymity, confidentiality, and voluntary participation. All the participants agreed to take part and gave their informed consent. They were guaranteed the rights to withdraw the study at any time. All the information and research data will be confidential and only the researchers in this study can have access.
Not applicable.

Competing interests

The authors declare no competing interests.
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Metadaten
Titel
The associated factors of disaster literacy among nurses in China: a structure equation modelling study
verfasst von
Yan Yang
Yuping Zhang
Yuanfei Liu
Qian Li
Lizhu Wang
Yong Du
Meijuan Lan
Jingfen Jin
Publikationsdatum
01.12.2024
Verlag
BioMed Central
Erschienen in
BMC Nursing / Ausgabe 1/2024
Elektronische ISSN: 1472-6955
DOI
https://doi.org/10.1186/s12912-024-02486-8