Next Article in Journal
Smart City Capacities: Extant Knowledge and Future Research for Sustainable Practical Applications
Previous Article in Journal
Techno-Eco-Efficiency Assessment of Using Recycled Steel Fibre in Concrete
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Evaluation of the Knowledge and Awareness of Firefighters in Turkey in Disaster Risk Management

1
Property Protection and Security, Beypazarı Vocational School, Ankara University, 06730 Ankara, Turkey
2
Department of Industrial Engineering, Faculty of Mechanical Engineering, Yıldız Technical University, 34349 Istanbul, Turkey
*
Author to whom correspondence should be addressed.
Sustainability 2024, 16(9), 3720; https://doi.org/10.3390/su16093720
Submission received: 21 March 2024 / Revised: 23 April 2024 / Accepted: 24 April 2024 / Published: 29 April 2024

Abstract

:
Firefighters stand as one of the most effective task forces, striving to minimize losses incurred during disasters. Clarifying the present status of disaster risk management for firefighters can offer insights into the factors influencing response during disasters and how preparedness for such events can be enhanced. The aim of this study is to assess the current status of fire and rescue services, actively engage in crisis management during disaster risk management, to identify areas for improvement that enhance their involvement in preparatory stages, and to bolster their effectiveness in crisis management. This descriptive, cross-sectional study involved 772 firefighters who had prior experience in disaster response. The findings of this study revealed that firefighters who had undergone first aid training demonstrated the ability to anticipate hazardous situations and behaviors, regularly inspected their equipment, showed awareness of work-related accidents and occupational diseases, and scored statistically higher on the scales. These findings are expected to assist fire departments in establishing a sustainable and comprehensive disaster management cycle.

1. Introduction

Disasters pose significant threats to societal health, security, and well-being on a global scale, resulting in loss of life, injuries, displacement, and adverse impacts on the economy [1]. Given its geological, meteorological, and topographic characteristics, Turkey is situated in a region prone to frequent natural disasters, including earthquakes, landslides, floods, rockfalls, and avalanches [2].
In 2022, Turkey recorded over 20 thousand earthquakes [3], marking the highest number of earthquakes documented in 2023, with over 49 thousand occurring in the first half of the year [4]. On 6 February 2023, two earthquakes of magnitudes Mw 7.7 and Mw 7.6 struck the Pazarcık and Elbistan districts of Kahramanmaraş, approximately 9 h apart (at 04:17 and 13:24 Turkey time). This disaster resulted in the loss of more than 48 thousand lives and severe damage or destruction to over half a million buildings across 11 provinces along the Eastern Anatolian fault line [5].
It is suggested that Turkey’s average annual Gross Domestic Product (GDP), susceptible to earthquakes, could potentially increase fivefold between 2010 and 2080, contingent upon socioeconomic development [6]. Given these projections, establishing an effective disaster management system in Turkey has become imperative.
Disaster management endeavors to mitigate the potential impact on human life and property [7]. Emergency response teams have been organized in many parts of the world with the aim of minimizing the potential and subsequent effects of disasters. These teams serve a range of pre-disaster preparedness functions such as planning, training, and exercises [8]. Therefore, the readiness of these teams is of paramount importance.
Readiness is directly related to the challenges teams face in understanding hazards, interpreting risks, and determining the extent to which they wish to prepare for disasters [9]. Their readiness for disasters not only helps mitigate the impact of disasters, respond to the needs of the community post-disaster, and expedite effective recovery but also strengthens the community, local governments, and professional emergency response teams [10]. Therefore, understanding the effectiveness of institutions and organizations in preparing for disasters is of utmost importance.
In the event of a potential disaster, it is important to assess the current readiness of firefighters who play a significant role in the early stages of intervention and carry out a large and important portion of search and rescue operations in disaster risk management. Identifying their preparedness levels, identifying areas for improvement, and determining corrective actions are crucial for them to effectively combat disasters [11].
Building upon these premises, the aim of this study is to identify the current status of firefighters who actively engage in the intervention phase of disasters within the risk management process. By doing so, the study seeks to provide areas for improvement that not only enhance their participation in intervention efforts but also contribute to preparedness activities for risk management. To achieve this aim, a “Disaster Risk Management Scale” has been developed specifically for firefighting personnel and applied to firefighters who have previously participated in disaster interventions.
Another factor that positively influences the effectiveness of firefighters in emergencies and disasters is a healthy and safe working environment. Occupational Health and Safety (OHS) refers to systematic efforts aimed at protecting employees from various hazards that may arise during the course of work, as well as improving working conditions both inside and outside the workplace to enhance their well-being [12]. It is an important concept for the physical and mental health of employees [13].
This study aimed to investigate the impact of OHS knowledge and awareness among firefighters on the Disaster Risk Management Scale, pinpointing areas for improvement. The lack of previous research exploring the correlation between OHS and disaster management knowledge of firefighters underscores the significance of this study in addressing a notable gap in the literature. Moreover, given the global imperative of robust disaster preparedness and response, this research offers valuable insights into the readiness of the studied firefighters for disaster scenarios.

2. Conceptual Framework

A typical disaster management cycle comprises four phases: preparation, response, recovery, and mitigation. The effectiveness of the response and recovery phases, initiated when a disaster strikes, is closely tied to the preparatory activities conducted beforehand [14]. There is increasing agreement that preparedness at various levels represents one of the most influential and cost-effective methods for reducing disaster risk [14]. Consequently, the international approach to emergencies and disasters has primarily shifted from post-impact activities (such as temporary relief and reconstruction) towards a more systematic and comprehensive risk management process [15].
Disaster preparedness encompasses proactive measures taken before an emergency to enhance operational capabilities, enable an efficient response in the event of an emergency, and minimize losses. It involves activities such as planning, identifying resources, training, communicating risks, raising public awareness, and conducting drills to ensure the safety and security of a community’s response. Predictive activities are also included to enhance effectiveness [16,17,18,19].
The world relies on efficient task forces to minimize the impact of emergencies and reduce losses resulting from both human-made and natural disasters [20]. Firefighters, police officers, and healthcare workers are among the active-duty forces in most countries. With their specialized training and superior equipment, they play a crucial role, particularly in the crisis management phase of disaster response [21,22,23,24]. However, when examining the literature on disaster management, studies focusing on society and households (e.g., [25,26,27,28]), healthcare workers (e.g., [29,30,31,32,33,34,35,36,37,38]), and police officers (e.g., [39,40,41,42]) are abundant, while research specifically addressing firefighters within this subject area is notably limited (see [43,44]).
King et al. (2019) conducted a study with military health personnel, indicating a moderate level of preparedness for disasters. Similar results were found in a study conducted among health personnel in the Asia–Pacific region [45,46,47,48]. In a study evaluating the preparedness of rescue workers following an emergency, firefighters’ preparedness levels were assessed, and it was reported that their preparedness levels were adequate [49]. The common conclusion drawn from all these studies is the need to enhance preparedness.
Furthermore, upon reviewing the literature, it is evident that there is a limited number of studies focusing on the disaster preparedness of search and rescue personnel who have previously participated in disaster interventions [49]. This deficiency is considered significant within the field of disaster management. While some communities utilize voluntary accreditation programs to evaluate their emergency response capabilities, others depend on internal resources, leading to a lack of consistency and standardized self-assessments that may not accurately reflect actual preparedness [50].

3. Methods

3.1. Study Group

The research was conducted in Turkey, and firefighters who voluntarily agreed to participate and had prior experience in disaster response were included in the study. During the scale development phase, a pilot test was administered to 30 randomly selected firefighters. The aim of this pilot test was to assess the applicability of the scale, address any issues based on feedback received, and measure the time required to complete the scale. In the main study, 772 firefighters were reached. Data collection in both phases was conducted face-to-face using a survey form. Descriptive statistics for the study group are presented in Table 1.
The vast majority of respondents were male firefighters (96.5%), with most participants falling between the ages of 28 and 51 (82.5%). Additionally, 78.1% of participants held a high school diploma or higher education qualification. In terms of tenure within the fire department, the majority of respondents (39.5%) had been on duty for 6–10 years. Regarding the roles undertaken by firefighters, the distribution is as follows: firefighters constitute 60.1%, fire sergeants 10.9%, fire chiefs 5.1%, and other roles account for 24%.
Table 2 presents the distribution of OHS and disaster-related knowledge within the main study group (n = 772).
Upon examination of Table 2, it is apparent that a significant portion of participants have received comprehensive training and possess essential knowledge and skills related to OHS and disaster preparedness. Specifically, 94.9% have undergone OHS training, 92.7% have received basic first aid training, and 92.4% have been equipped with necessary Personal Protective Equipment (PPE) by their employers. Additionally, a notable 90.2% reported being aware of hazardous situations and behaviors. Furthermore, 89.1% diligently conduct regular equipment checks, while 92.9% are knowledgeable about the appropriate actions to take in the event of a work-related accident. Moreover, 80.2% are familiar with the relevant authorities to contact in case of work-related illnesses. However, participation rates in disaster drills (61.9%) and training programs on disasters (74.5%) during in-service training indicate areas where further engagement may be warranted. Moreover, it is noteworthy that 42.7% have examined the Turkey Disaster Response Plan (TAMP), with 29.9% participating in drills within its scope. Lastly, the fact that 67.5% of participants reside in disaster-prone areas underscores their awareness of emergency risks and dangers.

3.2. Procedure

Administration: The data for this study was collected between 1 May and 30 May, 2023. The inclusion criterion for participation in the research was voluntary agreement. All participants received training and information regarding data collection methods, ethical considerations, and communication protocols in the field. The survey form comprised 5 questions pertaining to participants’ sociodemographic characteristics, 16 knowledge-related questions about OHS and disasters, and 35 awareness-related questions about emergencies and disasters. The “Fire Department Personnel’s Disaster Risk Management Scale” was developed using the ‘Awareness Questions on Emergencies and Disasters’ included in this survey form.
In both the initial trial and the primary study, participants were requested to select from five options for each item on the scale: ‘Strongly agree’, ‘Agree’, ‘Undecided’, ‘Disagree’, and ‘Strongly disagree’.
Initial Item Pool Generation/Criteria for selection of items: Initially, an exhaustive literature review was conducted to compile the scale items, supplemented by an examination of the ‘Municipal Fire Brigade Regulation’. Subsequently, a comprehensive item pool consisting of 35 statements across four dimensions (11 items on security perception, 11 on attitude, 6 on knowledge, and 7 on self-efficacy) was developed.
To assess the content validity of the scale, interviews were conducted with individuals and academics possessing expertise in disaster risk management and firefighting. Based on the informal feedback received from these experts, certain items were revised, an item pertaining to the attitude factor was eliminated, and the scopes of the factors were refined.

3.3. Ethics

To conduct the study, approval was obtained from the Yıldız Technical University Social and Human Sciences Research Ethics Committee, dated 3 May 2023, with meeting number 2023.05. Prior to commencing the survey, all participants were provided with information regarding the study’s objectives through a written consent form. Those who agreed to participate in the survey proceeded by accepting this written consent form and were assured that they could withdraw from the study at any point.

3.4. Data Analysis

The results of this study were analyzed in two stages. The first stage involved the analysis of scale development. In the second stage, the relationship between the valid and reliable scale and the independent variables was explored. The study data were assessed using the IBM SPSS Statistics Standard Concurrent User V26 statistical package program.
Scale development. Prior to conducting scale development and testing for construct validity, exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) for fit were employed.
In EFA, factors formed by observed variables were identified. These factors represent hypothetical variables [51]. The correlation matrix was scrutinized to assess the data’s suitability for factor analysis. Hwang and Henry (1990) excluded items with factor loading values below 0.40 from their scale [52]. Bartlett’s test of sphericity was utilized to statistically assess the correlation between variables in the data matrix [53]. This test determined whether the matrix formed between the questions resembled an identity matrix. Additionally, the Kaiser-Meyer-Olkin (KMO) criterion, derived from correlation and partial correlation coefficients, was evaluated to gauge the data’s suitability for factor analysis. The KMO, a sampling adequacy criterion, ranges from 0 to 1, with a value above 0.5 deemed adequate [54]. The principal component method was employed to derive the factors, considering as many factors as eigenvalues greater than one. Factor rotation was conducted using the Varimax Method to elucidate the variables contributing to each common factor. An item-total correlation coefficient value of 0.20 or higher indicated compatibility with the overall scale [55].
CFA was employed to confirm the factor structure obtained from EFA [56]. While EFA determines the appropriate number of factors based on the data matrix, in CFA, the number of factors is predetermined. IBM SPSS Statistics for Windows (Version 25.0) and Amos (Version 24.0) package programs were utilized for CFA.
Various indices, including χ2/df, RMSEA, SRMR, IFI, TLI, CFI, and GFI, were used to evaluate the factor validity of the models in CFA. RMSEA, being least affected by sample size, typically considers cutoff values near 0.06 or 0.08 acceptable. IFI, TLI, CFI, and GFI fit indices exceeding 0.90 indicate adequate model fit [57,58].
Analysis of the scale within dependent variables. The analysis was conducted using a rating scale ranging from 1 to 5 (1 = Strongly agree, 2 = Agree, 3 = Neutral, 4 = Disagree, 5 = Strongly disagree). As the scale score increases, firefighters’ proficiency in disaster risk management is expected to improve.
Independent Samples t-tests were employed to compare two groups and determine whether there were variations in scores on the ‘Firefighters’ Disaster Risk Management Scale’ based on gender, age, education level, length of service, and duty. Analysis of Variance was utilized for variables with more than two categories. In cases where the Analysis of Variance yielded significant results, multiple comparisons were conducted using the Bonferroni test. Relationships between numerical variables were assessed using the Pearson correlation coefficient.

4. Results

4.1. Scale Development

Following the analyses, three items with factor loadings below 0.40 and inadequate distribution in the dimensions were eliminated from the scale. Consequently, the scale was reconstructed with 31 items encompassing four factors. Items that fell outside the scope were removed, and question numbers were revised accordingly. The final iteration of the original scale is depicted in Table 3.
The scale comprises security perception (12 items), attitude (7 items), knowledge (5 items), and self-efficacy (7 items). Total score calculation involves summing the responses to all questions, and there are no reverse-scored items in the scale. The scale ranges from a minimum score of 31 points to a maximum of 155 points.
The KMO value, utilized to assess the suitability of the newly formulated scale distribution for factor analysis, yielded an excellent level. The Bartlett test result was obtained as 19,699.651 (p < 0.05), suggesting that the applied measurement indicates multivariate distribution within the universal parameter. Heteroscedasticity ratios exceeding 60% typically denote a perfect explanatory value in factor analysis. In this study, the variance accounted for was 67.88%, which is deemed excellent (Appendix A).
The findings reveal that the factor loadings of questions within the security perception dimension range from 0.537 to 0.778, for attitude dimension from 0.599 to 0.806, for self-efficacy dimension from 0.529 to 0.704, and for knowledge dimension from 0.601 to 0.758. With Cronbach’s Alpha (α) exceeding 0.70, the reliability of the scale was considered sufficient. Therefore, it effectively measures the four-dimensional sub-features of the ‘Disaster Risk Management Scale for Firefighters.’ Based on these outcomes, the scale created is regarded as a reliable measurement tool.
A Total Correlation exceeding 0.20 signifies the item’s significance for the question. The total correlation values obtained range from 0.704 to 0.823. Based on these results, the scale was deemed a valid measurement tool.
Statistical values concerning the fit of the scale model are provided in Table 4.
This study established acceptable fit indices as RMSEA ≤ 0.05, IFI, TLI, CFI ≥ 0.90, and GFI ≥ 0.85. The model developed for the disaster risk management scale for firefighters (χ2 = 1497.149, dF = 411) comprises four dimensions. The fit indices for this model indicate that it is compatible at an acceptable level.
The model generated through the applied CFA is visually presented in Figure 1. Each path coefficient of the dimensions on the 31 questions is statistically significant (p < 0.05). All subscales significantly influence the questions, with each path coefficient of security perception, attitude, self-efficacy, and knowledge above the scale being statistically significant (p < 0.05).
Introductory statistical data of the scale are presented in Table 5. The average of the security perception dimension of the scale is calculated as 47.84 ± 9.26 points, while the total score average of the scale falls between 127.68 ± 20.49 points. A positive and statistically significant relationship between the ‘Disaster Risk Management Scale for Firefighters’ and its dimensions was determined (p < 0.05).

4.2. Results of Independent Sample t-Tests

When comparing the created scale across demographic characteristics, the average scores of firefighters on the disaster risk management scale do not exhibit a statistically significant difference based on demographic traits (p > 0.05). These findings suggest that the disaster risk management scale scores of firefighters are independent of demographic characteristics, indicating that these factors do not influence the scale results (Appendix B).
Upon examining significant outcomes from the scale comparison concerning knowledge about OHS and disaster, it was found that scale score averages were notably higher among individuals who had received basic first aid training (F = 3.683, p = 0.026), had access to necessary personal protective equipment provided by their employer (F = 4.867, p = 0.008), and demonstrated an ability to anticipate dangerous situations and behaviors (F = 4.939, p = 0.007). Additionally, those who routinely inspected their equipment (F = 17.191, p < 0.001), remained vigilant regarding work accidents and occupational diseases (F = 3.803, p = 0.023; F = 11.920, p < 0.001), engaged in disaster drills previously (F = 4.896, p = 0.008), received disaster training (F = 9.516, p < 0.001), were familiar with the TAMP (F = 5.932, p = 0.003), and were knowledgeable about the disaster/emergency risks in their residential area (F = 8.357, p < 0.001) exhibited statistically higher scores among firefighters.

5. Discussion

The primary objective of intervening in disasters such as major earthquakes is to save as many lives as possible. A crucial component of such emergency response is the search and rescue operations to locate and extricate individuals trapped under debris. Over the past decade, large-scale natural and man-made disasters have underscored the importance of disaster response efforts.
This study aimed to assess the current status of firefighters, who often serve as the primary responders in disaster scenarios, within the risk management framework. It sought to identify areas for enhancement to enable their involvement in pre-disaster preparedness efforts.
One common obstacle to effective response, both in learning and executing first aid during emergencies, is the apprehension of making mistakes and the associated fear of shouldering responsibility [59]. This psychological barrier can hinder swift and confident action when facing critical situations. Additionally, firefighters often experience heightened stress when they are the first or sole responders at the scene, particularly if they feel ill-equipped compared to other emergency personnel [60]. Such circumstances can diminish the efficacy of disaster interventions, underscoring the importance of adequate preparation.
According to the findings of this study, 92.7% of the participants had received first-aid training. Similarly, previous research on firefighters by Kanat (2019) reported a percentage of 98.9% [44], Ergün (2012) found 86.8% [61], Yıldırım (2019) noted 89.9% [62], and Adıgüzel (2010) reported a figure of 98.9% [63], indicating a consistent trend across studies in the literature.
Drills that define emergency response functions or roles are crucial for first responders to ensure their competency during emergencies or disasters [64]. Full-scale participation exercises involve the operational mobilization of all or most elements of the emergency management program and incorporate realistic scenarios to test response capabilities under stress [65]. Disaster drills, specifically, assess the adequacy of existing disaster plans, personnel training, hands-on checks of communication systems, equipment, and other materials, as well as the effectiveness of the emergency response network in relation to the applied threat [66].
Fung et al. (2008) highlighted in their study that disaster drills are instrumental in helping nurses prepare for disasters [67]. According to the data from this study, 61.9% of the participants reported participating in disaster drills. In contrast, other studies examining the situation of firefighters in this regard revealed that 80% of participants [68] in the study by El and Avşar (2022) and 38.9% of participants [43] in the research conducted by Karatutlu (2021) and Adıgüzel (2010) reported 24.2% participation in disaster drills [63].
In many disaster response operations, first responders have encountered difficulties due to limited access to necessary and appropriate equipment [69]. The 11 September 2001 terrorist attacks resulted in the loss of 2819 lives and injured over 6290 people. It was reported that during disaster response operations, first responders faced inadequate equipment supply [70]. In China, during the earthquake measuring 7.9 on the Richter scale, search and rescue operations were hampered due to limited equipment, and intervention teams were reported to have dug out survivors with their bare hands [71]. In Haiti, during the earthquake measuring 7.0 in 2010, the lack of appropriate vehicles and equipment hindered search and rescue operations [72]. In our study, 83.3% of firefighters identified having an adequate number of vehicles, equipment, and manpower as one of the most crucial factors in disaster response, while 86% emphasized the importance of experienced manpower as another critical factor. In conclusion, access to vehicles and equipment is of critical importance to support life-saving operations and facilitate effective disaster response operations.
Furthermore, one of the most important factors influencing the readiness and performance of an emergency response team is coordination among teams [73]. Coordinating first response teams who are not familiar with appropriate training, technical skills, and disaster management organizational structures can be extremely challenging. To overcome these challenges, there is a need to enhance the technical skills of teams and establish policies, operational agreements, and standardized procedures and protocols for effective inter-agency disaster response [74].
According to research, the lack of coordination among response teams has been identified as one of the most significant challenges that can impair teamwork during situations such as major California wildfires [22]. Therefore, the efficiency and performance of an emergency response team are significantly influenced by effective coordination among its members, which is crucial for enhancing readiness [73]. In our study, 88.4% of firefighters identified rapid and effective coordination as one of the most important factors in disaster response.
Training plays a crucial role in equipping first responders and critical workers with the necessary skills to effectively respond to the unique challenges posed by disasters. Additionally, it instills accepted norms and best practices for executing specific tasks or skills [75]. In Turkey, the basic firefighting training for firefighters is regulated in the “Municipal Fire Brigade Regulation” in its 8th Annex [76]. In this annex, it is stipulated that firefighters should receive annual training of 8 h on “Basic Disaster and Emergency Management” and “Turkey Disaster Response Plan (TAMP)”.
According to the findings of this study, 74.5% of the participants reported receiving training on disaster management. In comparison, another study examining the preparedness of firefighters in a similar context, conducted by Karatutlu (2021), indicated that only 41.3% of participants received disaster-related training [43]. Among studies focusing on healthcare workers, Goniewicz and Goniewicz (2020) reported a lower percentage, with 46.3% of participants receiving disaster training [33], whereas Susila et al. (2019) found that 70.9% of participants had received such training [35]. These results suggest that participants in this study exhibited higher levels of disaster education compared to those in other studies.
TAMP encompasses a network of working groups and coordination units involving various governmental bodies, institutions, private sector entities, NGOs, and individuals. This comprehensive plan was established in 2014 to delineate the roles and obligations of stakeholders in disaster response activities across Turkey [77]. It outlines fundamental response principles to be adhered to before, during, and after disasters of any scale or nature. By delving into this plan, firefighters gain invaluable insights that aid in their preparedness and response efforts during emergencies.
The findings from this study reveal that 42.7% of the participants reported examining TAMP. In comparison, previous studies investigating firefighters’ engagement with TAMP yielded consistent results. For instance, El and Avşar (2022) found that 28% of participants reviewed TAMP [68], while Kanat (2019) reported a slightly higher percentage of 47.9% who examined TAMP [44]. These results align with the trends observed in related literature, indicating a notable portion of firefighters engaging with TAMP.
Fire departments play a crucial role in safeguarding public safety and managing risks effectively [78,79]. Adequate allocation of emergency resources tailored to the known risk profiles of local communities is vital for mitigating the impact of emergencies and disasters [80]. According to the findings of this study, 67.5% of participants demonstrated awareness of the disaster and emergency risks in their living area. Similarly, previous research examining firefighters’ awareness of local risks reported consistent findings. For instance, one study found that 72% of participants were knowledgeable about the hazards in their region, while another study indicated that 52.1% were aware of disaster and emergency risks. These results are in line with those reported in existing literature, underscoring the importance of firefighters’ awareness of local risks.
Moreover, firefighters who exhibited high scores in areas such as employer-provided PPE, ability to anticipate potential hazards, regular equipment inspections, and knowledge regarding work-related accidents and occupational diseases demonstrated superior performance on the disaster risk management scale.
Many studies have examined the impact of OHS on employee productivity, and as a result, it has been stated that there is a positive and significant relationship between all measures related to OHS and the productivity of employees in this context [81,82,83,84]. However, literature exploring the interplay between firefighters’ roles in disaster management and OHS remains noticeably absent.
These findings underscore the significance of firefighters’ comprehension and awareness of OHS and disaster-related issues in influencing their disaster risk management scale scores. It highlights the crucial role that such knowledge and awareness play in shaping the scale’s performance. Consequently, these factors warrant careful consideration for enhancing firefighters’ proficiency in managing the disaster risk management process. This study stands as a vital contribution to bridging the existing gap in the literature.
Through this study, the preparedness of firefighters for disasters has been assessed, and their knowledge and awareness within the scope of disaster preparedness have been identified. The results obtained from the study can be shared with municipalities, disaster and emergency management centers, fire departments, and other relevant institutions involved in disaster management with the aim of improving the preparedness of firefighters for disasters. By sharing the findings, these organizations can reassess existing policies and develop practices aimed at determining training and planning strategies within the scope of disaster preparedness.
Although the job descriptions of firefighters vary in many parts of the world, the general procedures to be followed during a disaster and the practices within the scope of disaster preparedness are similar. Therefore, the scale developed in this study can be used by firefighting organizations in other countries as well.

6. Conclusions

Fire departments play a crucial role in mitigating the impact of emergencies and disasters in Turkey by effectively managing risks and crises. The findings of this study highlight the importance of first aid, OHS training, awareness programs, familiarity with the TAMP, disaster and emergency training as essential areas for improvement among fire department personnel. Moreover, the limited participation in disaster psychology training and drills within TAMP indicates a notable area for improvement.
Furthermore, safeguarding the health and safety of firefighters is paramount for effective disaster management. Enhancing OHS knowledge and awareness can empower firefighters to make informed decisions and intervene more effectively during disasters.
By implementing these recommendations, firefighters can enhance their effectiveness in the disaster risk management process, thereby improving crisis management interventions. Additionally, this study serves as a model for establishing a sustainable and integrated disaster management system within fire departments.
One limitation of the study is that all participants have prior experience working in disasters, which may potentially inflate their scores on the disaster awareness questions of the scale. Moreover, the assessment of firefighters’ competencies in disaster risk management relies solely on subjective data, which could introduce biases. However, despite these limitations, the study yields significant findings that address practical and scientific gaps in understanding firefighters’ capabilities. The insights gained from this study can serve as a foundation for future research aimed at enhancing the effectiveness of Turkish fire departments across all phases of disaster management. Additionally, this study offers valuable clues for designing more comprehensive research initiatives and provides essential data for researchers in this field.

Author Contributions

A.Ü.: Conceptualization, Methodology, Software, Data curation, Writing—Original draft preparation; Visualization, Investigation. H.B.: Data curation, Writing—Original draft preparation, Software, Validation, Writing—Reviewing and Editing. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

This study was approved by Yıldız Technical University, Social and Humanities Research Ethics Committee at the meeting numbered 2023.05 held on 3 May 2023.

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

The data presented in this study are available on request from the corresponding author.

Acknowledgments

This paper is part of Ayşe Ütük’s dissertation in their doctoral thesis, thesis titled “Lean Fire Department System Design in Digital Transformation Environment”, Department of Industrial Engineering, University of Yıldız Technical University.

Conflicts of Interest

The authors declare no conflicts of interest.

Appendix A. Validity and Reliability Results of the Disaster Risk Management Scale for Firefighters

FactorItem NumberFactor LoadingTotal CorrelationExplained Variance %Cronbach Alpha
1234
Perception of Security10.729 0.70323.590.942
20.733 0.733
30.634 0.726
40.713 0.663
50.703 0.551
60.722 0.740
70.582 0.747
80.716 0.718
90.778 0.684
100.776 0.708
110.730 0.719
240.537 0.585
Attitude27 0.599 0.66917.520.923
28 0.774 0.660
29 0.763 0.675
30 0.784 0.696
32 0.806 0.663
33 0.766 0.675
34 0.617 0.583
Self-Efficacy12 0.704 0.68813.510.925
13 0.704 0.753
14 0.752 0.760
15 0.651 0.769
16 0.529 0.661
17 0.550 0.708
31 0.665 0.762
Knowledge19 0.6580.65213.260.894
20 0.7350.711
21 0.7320.663
22 0.7580.683
23 0.6010.641
Scale67.880.967
KMO = 0.968 Df = 465 χ2 = 19,699.651 p < 0.001

Appendix B. Descriptive Statistics Detailing the Demographic Characteristics of the Participants (N = 772) and a Comparison of the Developed Scale across These Characteristics

Disaster Risk Management Scale for FirefightersTest (p)
Gender t = 0.282 p = 0.778
Male127.72 ± 20.45
Female126.59 ± 21.81
Age F = 0.513 p = 0.726
20–27 130.14 ± 18.69
28–35 127.2 ± 19.11
36–43 128.41 ± 18.09
44–51 126.87 ± 22.05
52 and over126.32 ± 28.34
Educational Status F = 0.811 p = 0.445
Primary and secondary school128.47 ± 21.28
High school126.64 ± 22.13
University128.56 ± 17.5
Years of experience F = 2.383 p = 0.055
0–5129.38 ± 19.61
6–10127.21 ± 19.44
11–15127.41 ± 20.92
16–20131.54 ± 18.68
20+123.54 ± 24.59
Mission F = 2.488 p = 0.059
Fireman128.46 ± 18.36
Fire Sergeant127.02 ± 21.54
Fire Chief133.44 ± 24.19
Other124.83 ± 23.75

References

  1. Bosmans, M.W.G.; Baliatsas, C.; Yzermans, C.J.; Dückers, M.L.A. A systematic review of rapid needs assessments and their usefulness for disaster decision making: Methods, strengths and weaknesses and value for disaster relief policy. Int. J. Disaster Risk. Reduct. 2022, 71, 102807. [Google Scholar] [CrossRef]
  2. Benli, H.; Bacanlı, M.; Gündoğdu, Ş.T.; Yaman, M.M. Türkiye’de Afet Yönetimi ve Doğa Kaynaklı Afet İstatistikleri; AFAD: Ankara, Turkey, 2018. [Google Scholar]
  3. AFAD. 2022 Yılı Doğa Kaynaklı Olay İstatistikleri. Afet ve Acil Durum Yönetimi Başkanlığı. Available online: https://www.afad.gov.tr/kurumlar/afad.gov.tr/e_Kutuphane/Istatistikler/2022-Yili-Doga-Kaynakli-Olay-Istatistikleri.pdf (accessed on 20 December 2023).
  4. Dierks, Z. Number of Earthquakes in Turkey 1990–2023. Available online: https://www.statista.com/statistics/1309531/turkey-number-of-earthquakes/#statisticContainer (accessed on 15 December 2023).
  5. T. C. Cumhurbaşkanlığı Strateji ve Bütçe Başkanlığı. SBB. Kahramanmaraş ve Hatay Depremleri Raporu. Available online: https://www.sbb.gov.tr/wp-content/uploads/2023/03/2023-Kahramanmaras-ve-Hatay-Depremleri-Raporu.pdf (accessed on 15 December 2023).
  6. Global Facility for Disaster Reduction and Recovery. The Making of a Riskier Future: How Our Decisions Are Shaping Future Disaster Risk; Global Facility for Disaster Reduction and Recovery: Washington, DC, USA, 2016; pp. 1–166. [Google Scholar]
  7. Mintzberg, H. An Emerging Strategy of Direct Research. Adm. Sci. Q. 1979, 24, 582–589. [Google Scholar] [CrossRef]
  8. Ford, J.K.; Schmidt, A.M. Emergency response training: Strategies for enhancing real-world performance. J. Hazard. Mater. 2000, 75, 195–215. [Google Scholar] [CrossRef] [PubMed]
  9. Harris, C.; McCarthy, K.; Liu, E.L.; Klein, K.; Swienton, R.; Prins, P.; Waltz, T. Expanding understanding of response roles: An examination of immediate and first responders in the United States. Int. J. Environ. Res. Public Health 2018, 15, 534. [Google Scholar] [CrossRef] [PubMed]
  10. McEntire, D.A. Coordinating multi-organisational responses to disaster: Lessons from the March 28, 2000, Fort Worth tornado. Disaster Prev. Manag. Int. J. 2002, 11, 369–379. [Google Scholar] [CrossRef]
  11. Gaillard, J.C.; Cadag, J.R.D.; Rampengan, M.M.F. People’s capacities in facing hazards and disasters: An overview. Nat. Hazards 2019, 95, 863–876. [Google Scholar] [CrossRef]
  12. Ünsar, S. Türkiyede Işçi Sağlığı ve Iş Güvenliği Uygulamalarının Mevcut Durumu ve Konuyla İlgili Yapılan Bir Araştırma; Ph.D. Thesis, İstanbul Üniversitesi, İstanbul, Turkey, 2003. [Google Scholar]
  13. Rajendran, S.; Giridhar, S.; Chaudhari, S.; Gupta, P.K. Technological advancements in occupational health and safety. Meas. Sens. 2021, 15, 100045. [Google Scholar] [CrossRef]
  14. Yu, J.; Sim, T.; Qi, W.; Zhu, Z. Communication with local officials, self-efficacy, and individual disaster preparedness: A case study of rural northwestern China. Sustainability 2020, 12, 5354. [Google Scholar] [CrossRef]
  15. Keim, M.E. Building human resilience. The role of public health preparedness and response as an adaptation to climate change. Am. J. Prev. Med. 2008, 35, 508–516. [Google Scholar] [CrossRef]
  16. ISDR. UNISDR Terminology on Disaster Risk Reduction; United Nations International Strategy for Disaster Reduction (UNISDR): Geneva, Switzerland, 2009; pp. 1–13. [Google Scholar]
  17. Said, A.M.; Ahmadun, F.R.; Mahmud, A.R.; Abas, F. Community preparedness for Tsunami disaster: A case study. Disaster Prev. Manag. Int. J. 2011, 20, 266–280. [Google Scholar] [CrossRef]
  18. Aka, F.T.; Buh, G.W.; Fantong, W.Y.; Issa; Zouh, I.T.; Djomou, S.L.B.; Ghogomu, R.T.; Gibson, T.M.; Marmol del, M.A.; Sigha, L.N.; et al. Disaster prevention, disaster preparedness and local community resilience within the context of disaster risk management in Cameroon. Nat. Hazards 2017, 86, 57–88. [Google Scholar] [CrossRef]
  19. Atreya, A.; Czajkowski, J.; Botzen, W.; Bustamante, G.; Campbell, K.; Collier, B.; Ianni, F.; Kunreuther, H.; Michel-Kerjan, E.; Montgomery, M. Adoption of flood preparedness actions: A household level study in rural communities in Tabasco, Mexico. Int. J. Disaster Risk. Reduct. 2017, 24, 428–438. [Google Scholar] [CrossRef]
  20. Rubaca, U.; Majid Khan, M. The impact of perceived organizational support and job resourcefulness on supervisor-rated contextual performance of firefighters: Mediating role of job satisfaction. J. Contingencies Crisis Manag. 2021, 29, 281–292. [Google Scholar] [CrossRef]
  21. Perry, R.W. Incident management systems in disaster management. Disaster Prev. Manag. 2003, 12, 405–412. [Google Scholar] [CrossRef]
  22. Waugh, W.L., Jr.; Streib, G. Collaboration and leadership for effective emergency management. Public Adm. Rev. 2006, 66, 131–140. [Google Scholar] [CrossRef]
  23. Wolbers, J.; Boersma, K.; Groenewegen, P. Introducing a fragmentation perspective on coordination in crisis management. Organ. Stud. 2018, 39, 521–1546. [Google Scholar] [CrossRef]
  24. Barton, C.C.; Locke, E.P.; Mohapatra, A. Disaster preparedness and management. In Information Resources in Toxicology; Volume 1: Background, Resources, and Tools; Elsevier: Amsterdam, The Netherlands, 2020; Volume 3, pp. 249–262. [Google Scholar] [CrossRef]
  25. Kim, Y.; Kim, M.Y. Factors affecting household disaster preparedness in South Korea. PLoS ONE 2022, 17, e0275540. [Google Scholar] [CrossRef] [PubMed]
  26. Ma, Z.; Guo, S.; Deng, X.; Xu, D. Community resilience and resident’s disaster preparedness: Evidence from China’s earthquake-stricken areas. Nat. Hazards 2021, 108, 567–591. [Google Scholar] [CrossRef]
  27. Sim, T.; Han, Z.; Guo, C.; Lau, J.; Yu, J.; Su, G. Disaster preparedness, perceived community resilience, and place of rural villages in northwest China. Nat. Hazards 2021, 108, 907–923. [Google Scholar] [CrossRef]
  28. Rañeses, M.K.; Chang-Richards, A.; Richards, J.; Bubb, J. Measuring the level of disaster preparedness in Auckland. Procedia Eng. 2018, 212, 419–426. [Google Scholar] [CrossRef]
  29. Fetene, S.; Ayenew, T.; Dires, T.; Bantie, B. Knowledge levels of health professional working in Ethiopia toward disaster preparedness: Systematic review and meta-analysis. Int. J. Afr. Nurs. Sci. 2024, 20, 100649. [Google Scholar] [CrossRef]
  30. Kako, M.; Hutton, A. Disaster preparedness of Hiroshima community health nurses: A mixed-method study. Prog. Disaster Sci. 2023, 20, 100295. [Google Scholar] [CrossRef]
  31. Labrague, L.J.; Hammad, K. Disaster preparedness among nurses in disaster-prone countries: A systematic review. Australas. Emerg. Care 2023, 26, 1–9. [Google Scholar] [CrossRef] [PubMed]
  32. Zhai, L.; Lee, J.E. Analyzing the disaster preparedness capability of local government using AHP: Zhengzhou 7.20 rainstorm disaster. Int. J. Environ. Res. Public Health 2023, 20, 20952. [Google Scholar] [CrossRef] [PubMed]
  33. Goniewicz, K.; Goniewicz, M. Disaster preparedness and professional competence among healthcare providers: Pilot study results. Sustainability 2020, 12, 4931. [Google Scholar] [CrossRef]
  34. Gowing, J.R.; Walker, K.N.; Elmer, S.L.; Cummings, E.A. Disaster preparedness among health professionals and support staff: What is effective? An integrative literature review. Prehospital Disaster Med. 2017, 32, 321–328. [Google Scholar] [CrossRef]
  35. Susila, I.M.D.P.; Januraga, P.P.; Utami, N.W.A. Perception of disaster preparedness and participation in training are associated with disaster preparedness among health workers. Public Health Prev. Med. Arch. 2019, 7, 8–13. [Google Scholar] [CrossRef]
  36. Rizqillah, A.F.; Suna, J. Indonesian emergency nurses’ preparedness to respond to disaster: A descriptive survey. Australas. Emerg. Care 2018, 21, 64–68. [Google Scholar] [CrossRef]
  37. Berhanu, N.; Abrha, H.; Ejigu, Y.; Woldemichael, K. Knowledge, experiences and training needs of health professionals about disaster preparedness and response in southwest Ethiopia: A cross-sectional study. Ethiop. J. Health Sci. 2016, 26, 415–426. [Google Scholar] [CrossRef]
  38. Labrague, L.J.; Yboa, B.C.; Mcenroe-Petitte, D.M.; Lobrino, L.R.; Brennan, M.G.B. Disaster preparedness in Philippine nurses. J. Nurs. Sch. 2016, 48, 98–105. [Google Scholar] [CrossRef]
  39. Chepkwony, P.C. Factors Affecting Police Officers Effectiveness in Disaster Scene Management in Nairobi Central Business District. Ph.D. Thesis, University of Nairobi, Nairobi, Kenya, 2015. [Google Scholar]
  40. Chun, Y.; Kim, M. A Study on Improvement of the police disaster crisis management system. J. Korean Soc. Disaster Inf. 2015, 11, 556–569. [Google Scholar] [CrossRef]
  41. Pagan, L.; Ojo, D. A Qualitative Study of Disaster Preparedness Perceptions among Law Enforcement Officers; ProQuest LLC: Totowa, NJ, USA, 2015; Volume 131, p. 3680636. [Google Scholar]
  42. Varano, S.P.; Schafer, J.A. Policing disasters: The role of police in pre-disaster planning and post-disaster responses. In Sociology of Crime Law and Deviance (C. 17, Sayı 2012); Emerald Group Publishing Ltd.: Bingley, UK, 2012. [Google Scholar] [CrossRef]
  43. Karatutlu, C. Türkiye’deki İtfaiyelerin Afete Hazırlıklarının Değerlendirilmesi. Master’s Thesis, Hacettepe Üniversitesi Sağlık Bilimleri Enstitüsü, Ankara, Turkey.
  44. Kanat, M. İtfaiye Çalışanlarının Afet Bilgi Düzeyi ve Afetlere Hazırlık Durumu. Master’s Thesis, Çanakkale Onsekiz Mart Üniversitesi Fen Bilimleri Enstitüsü, Çanakkale, Turkey, 2019. [Google Scholar]
  45. King, H.C.; Spritzer, N.; Al-Azzeh, N. Perceived Knowledge, Skills, and Preparedness for Disaster Management Among Military Health Care Personnel. Mil. Med. 2019, 184, e548–e554. [Google Scholar] [CrossRef] [PubMed]
  46. Al Thobaity, A.; Plummer, V.; Innes, K.; Copnell, B. Perceptions of knowledge of disaster management among military and civilian nurses in Saudi Arabia. Australas. Emerg. Nurs. J. 2015, 18, 156–164. [Google Scholar] [CrossRef] [PubMed]
  47. Chen, T.F.; Chou, K.R.; Liao, Y.M.; Ho, C.H.; Chung, M.H. Construct validity and reliability of the Chinese version of the Disaster Preparedness E valuation Tool in Taiwan. J. Clin. Nurs. 2015, 24, 1132–1143. [Google Scholar] [CrossRef] [PubMed]
  48. Fattah, S.; Krüger, A.J.; Andersen, J.E.; Vigerust, T.; Rehn, M. Major incident preparedness and on-site work among Norwegian rescue personnel–a cross-sectional study. Int. J. Emerg. Med. 2012, 5, 1–7. [Google Scholar] [CrossRef] [PubMed]
  49. Pedersen, M.J.B.; Gjerland, A.; Rund, B.R.; Ekeberg, Ø.; Skogstad, L. Emergency preparedness and role clarity among rescue workers during the terror attacks in Norway July 22, 2011. PLoS ONE 2016, 11, e0156536. [Google Scholar] [CrossRef] [PubMed]
  50. Sutton, J.; Tierney, K. Disaster Preparedness: Concepts, Guidance, and Research; Natural Hazards Center Institute of Behavioral Science University of Colorado: Boulder, CO, USA, 2006; Available online: http://www.colorado.edu/hazards (accessed on 20 October 2023).
  51. Rencher, A.C. Methods of Multivariate Analysis, 2nd ed.; John Wiley & Sons, Inc.: Hoboken, NJ, USA, 1997; Volume 12, p. 419. [Google Scholar]
  52. Hwang, C.; Henry, L. Development and validation of the mathematics anxiety scale for children. Meas. Eval. Couns. Dev. 1990, 23, 121–127. [Google Scholar]
  53. Bartlett, M.S. Tests of significance in factor analysis. Br. J. Psychiatry 1950, 3, 77–85. [Google Scholar] [CrossRef]
  54. Cerny, B.A.; Kaiser, H.F. A study of a measure of sampling adequacy for factor-analytic correlation matrices. Multivar. Behav. Res. 1977, 12, 43–47. [Google Scholar] [CrossRef]
  55. Crocker, L.; Algina, J. Introduction to Classical and Modern Test Theory; Wadsworth Pub. Co.: Belmont, MA, USA, 2006. [Google Scholar]
  56. Brown, T.A. Confirmatory Factor Analysis for Applied Research; Guilford Publications: New York, NY, USA, 2015. [Google Scholar]
  57. Şimşek, Ö.F. Yapısal Eşitlik Modellemesine Giriş; Ekinoks: Ankara, Turkey, 2007. [Google Scholar]
  58. Kline, R.B. Principles and Practice of Structural Equation Modelling, 2nd ed.; Guilford Press: New York, NY, USA, 2005. [Google Scholar]
  59. Heard, C.L.; Pearce, J.M.; Rogers, M.B. Mapping the public first-aid training landscape: A scoping review. Disasters 2020, 44, 205–228. [Google Scholar] [CrossRef]
  60. Beth, C.; William, M. The High Rates of Mental Health Conditions Experienced by First Responders, Emergency Service Workers and Volunteers; University of Newcastle: New South Wales, Australia, 2013; pp. 1–7. [Google Scholar]
  61. Ergün, O.F. Türkiye’de Büyük ve Küçük İtfaiye Örneklerinde Müdahale Biriminde Çalışan İtfaiyecilerin İş Kazası Geçirme Durumları, Çalışma Şartları ve Mesleki Memnuniyetleri. Master’s Thesis, Kazaların Demografisi ve Eğidemiyolojisi Anabilim Dalı, Sağlık Bilimleri Enstitüsü, Gazi Üniversitesi, Ankara, Turkey, 2012. [Google Scholar]
  62. Yıldırım, E. Tokat İl Sınırları İçinde Görev Alan İtfaiye Çalışanlarının Temel Yaşam Desteği ve İlk Yardım Bilgi Düzeylerinin Değerlendirilmesi. Master’s Thesis, Tokat Gaziosmanpaşa Üniversitesi Sağlık Bilimler Enstitüsü, Acil Tıp Hemşireliği Ana Bilim Dalı, Tokat, Turkey, 2019. [Google Scholar]
  63. Adıgüzel, M.O. Ankara Büyükşehir Belediyesi İtfaiye Dairesi Başkanlığının Afetlere Hazırlık Durumunun Değerlendirilmesi. Master’s Thesis, Hacettepe Üniversitesi Tıp Fakültesi Halk Sağlığı Anabilim Dalı, Ankara, Turkey, 2010. [Google Scholar]
  64. Gebbie, K.; Qureshi, K. Emergency and Disaster Preparedness: Core Competencies for Nurses What every nurse should but may not know. Am. J. Nurs. 2002, 102, 46–51. [Google Scholar] [CrossRef] [PubMed]
  65. Henstra, D. Evaluating local government emergency management programs: What framework should public managers adopt? Public Adm. Rev. 2010, 70, 236–246. [Google Scholar] [CrossRef]
  66. Peterson, D.M.; Perry, R.W. The impacts of disaster exercises on participants. Disaster Prev. Manag. Int. J. 1999, 8, 241–254. [Google Scholar] [CrossRef]
  67. Fung, O.W.; Loke, A.Y.; Lai, C.K. Disaster preparedness among Hong Kong nurses. J. Adv. Nurs. 2008, 62, 698–703. [Google Scholar] [CrossRef] [PubMed]
  68. El, G.; Avşar, E. The evaluation of the readiness of fire departments for disasters and emergencies: The case of Niksar fire department in Tokat, Turkey. J. Emerg. Econ. Policy 2022, 7, 370–382. [Google Scholar]
  69. McGuigan, D.M. Urban Search and Rescue and the Role of the Engineer: A Report Submitted in Partial Fulfilment of the Requirements for the Degree of. Master of Engineering. Ph.D. Thesis, University of Canterbury, Christchurch, New Zealand, 2002. [Google Scholar]
  70. Simon, R.; Teperman, S. The World Trade Center attack: Lessons for disaster management. Crit. Care 2001, 5, 1–3. [Google Scholar] [CrossRef]
  71. Ju, X.; Fan, Y.; Li, T.; Niu, Y.; Liang, H.; Wang, Y.; Xu, X. Method for site selection of relief supply warehouses in earthquakes with Ms ≥ 7—A case study of western Yunnan, China. Nat. Hazards 2023, 116, 3495–3520. [Google Scholar] [CrossRef]
  72. Margesson, R.; Taft-Morales, M. Haiti Earthquake: Crisis and Response; Congressional Research Service: Washington, DC, USA, 2010. [Google Scholar]
  73. Comfort, L.K.; Haase, T.W. Communication, coherence, and collective action: The impact of Hurricane Katrina on communications infrastructure. Public Works Manag. Policy 2006, 10, 328–343. [Google Scholar] [CrossRef]
  74. Holguín-Veras, J.; Pérez, N.; Ukkusuri, S.; Wachtendorf, T.; Brown, B. Emergency logistics issues affecting the response to Katrina: A synthesis and preliminary suggestions for improvement. Transp. Res. Rec. 2007, 2022, 76–82. [Google Scholar] [CrossRef]
  75. McEntire, D.A.; Myers, A. Preparing communities for disasters: Issues and processes for government readiness. Disaster Prev. Manag. Int. J. 2004, 13, 140–152. [Google Scholar] [CrossRef]
  76. T.C. Resmi Gazete. Sayılı Belediye İtfaiye Yönetmeliği; 2006; p. 26326. Available online: https://www.mevzuat.gov.tr/mevzuat?MevzuatNo=10713&MevzuatTur=7&MevzuatTertip=5 (accessed on 7 January 2024).
  77. AFAD. Türkiye Afet Müdahale Planı-TAMP. Available online: https://www.afad.gov.tr/turkiye-afet-mudahale-plani (accessed on 10 January 2024).
  78. Deng, T.; Hsieh, C.; Yang, C. A conceptual framework for improving fire-fighting service quality of a public fire department. Int. J. Public Adm. 2001, 24, 405–422. [Google Scholar] [CrossRef]
  79. Lee, W.; Moon, K.-M. A study of the relationship between volunteer fire brigade management and the efficiency of the fire administrations of metropolitan governments. Fire Sci. Eng. 2021, 35, 82–98. [Google Scholar] [CrossRef]
  80. IFSJLM. Internatıonal Fıre Servıce Journal of leadershıp and Management; Fire Protection Publications (FPP), Oklahoma State University (OSU): Stillwater, OK, USA, 2021; Volume 15, ISSN 1554-3439. [Google Scholar]
  81. Ibrar, M.; Khan, M.S.; Khan, H.; Shah, M.I.; Khan, A.U.; Khan, M.T. Impact of Occupational Health And Safety Measures on Employees’productivity. Palarch’s J. Archaeol. Egypt/Egyptol. 2021, 18, 1875–1885. [Google Scholar]
  82. Ahmad, F. Implementation of Occupational Safety and Health (K3) for Increasing Employee Productivity. J. Econ. Resour. 2022, 5. [Google Scholar]
  83. Okpe, S.A.; Makinde, J.K. Impact of Occupational Health and Safety Standards on Productivity of Employees. In Proceedings of the 20th Academic Conference on African Content in the Fast-moving World: New Strategies and Approaches, Bauchi, Nigeria, 12 December 2020; 1000 Capacity Hall, Abubakar Tafawa Balewa University, Yelwa Campus ATBU: Bauchi, Nigeria, 2019. [Google Scholar]
  84. Rifqi, M.; Fajarianto, O.; Thamrin, H. Recommendations for Occupational Safety and Health (K3) as a Means in Increasing Employee Performance Productivity. IJESS Int. J. Educ. Soc. Sci. 2023, 4, 52–56. [Google Scholar] [CrossRef]
Figure 1. Confirmatory factor analysis for the Disaster Risk Management Scale for Firefighters.
Figure 1. Confirmatory factor analysis for the Disaster Risk Management Scale for Firefighters.
Sustainability 16 03720 g001
Table 1. Descriptive Statistics for Participants (n = 772).
Table 1. Descriptive Statistics for Participants (n = 772).
n%
Gender
Male74596.5
Female273.5
Age
20–27739.5
28–3518624.1
36–4323530.4
44–5121628
52 and over628
Educational Status
Primary and secondary school16921.9
High school34444.6
University25933.5
Years of experience
0–513317.2
6–1030539.5
11–1511514.9
16–2010713.9
20+11214.5
Mission
Fireman46460.1
Fire Sergeant8410.9
Fire Chief395.1
Other18524
Table 2. Distribution of firefighters’ knowledge about OHS and disaster (n = 772).
Table 2. Distribution of firefighters’ knowledge about OHS and disaster (n = 772).
YesNoNo Idea
Received training on OHS733 (94.9%)27 (3.5%)12 (1.6%)
Received basic first-aid training716 (92.7%)48 (6.2%)8 (1%)
Experienced a work accident141 (18.3%)598 (77.5%)33 (4.3%)
Experienced an incident at the work site245 (31.7%)487 (63.1%)40 (5.2%)
Knows about what needs to be done after a work accident687 (89%)57 (7.4%)28 (3.6%)
Is provided with the necessary PPE by the employer713 (92.4%)43 (5.6%)16 (2.1%)
Has the ability to predict dangerous situations and dangerous behaviors696 (90.2%)54 (7%)22 (2.8%)
Checks equipment regularly688 (89.1%)64 (8.3%)20 (2.6%)
Knows what to do in case of a work accident717 (92.9%)38 (4.9%)17 (2.2%)
Is aware of the competent authorities to contact in case of an illness after work.619 (80.2%)114 (14.8%)39 (5.1%)
Received disaster psychology training314 (40.7%)422 (54.7%)36 (4.7%)
Participated in a disaster drill before478 (61.9%)277 (35.9%)17 (2.2%)
Received disaster-related training in in-service training575 (74.5%)173 (22.4%)24 (3.1%)
Reviewed the Turkey Disaster Response Plan (TAMP)330 (42.7%)382 (49.5%)60 (7.8%)
Participated in a disaster drill within TAMP231 (29.9%)495 (64.1%)46 (6%)
Is aware of the disaster and emergency risks prevalent in one’s residing region521 (67.5%)190 (24.6%)61 (7.9%)
Summary statistics are given as Number (Percentage) values.
Table 3. Items in the Disaster Risk Management Scale for Firefighters.
Table 3. Items in the Disaster Risk Management Scale for Firefighters.
FactorElements
Perception of Security1. Firefighter health and safety is supported in my organization.
2. Safety training is built into all our training.
3. Vehicle inspection schedules and equipment checks are strictly adhered to.
4. We have a post-incident critique process for firefighting operations.
5. All firefighters have the authority to stop unsafe practices.
6. We understand risk analysis and apply risk assessment analysis in every fire incident.
7. I do not hesitate to tell my supervisor when I need urgent and long-term medical help.
8. In my institution, records of near-miss incidents, work accidents, and occupational diseases are taken regularly.
9. Technological developments are followed for a safer and healthier working environment.
10. Corrective action plans are developed to eliminate deficiencies.
11. Standards and policies are developed for emergency responses.
24. Our institution has sufficient tools and equipment to respond to emergencies or disasters.
Attitude27. I would be willing to take part in a possible disaster.
28. Improving my working conditions will make me more efficient when responding to emergencies or disasters.
29. The training I received is essential in responding efficiently to emergencies and disasters.
30. Personal protective equipment is required when responding to emergencies and disasters and is provided by my institution.
32. Teamwork is essential when responding to emergencies and disasters.
33. I trust my teammates when responding to emergencies and disasters.
34. To mitigate disasters, fire brigades can engage in proactive activities both before and during interventions.
Self-Efficacy12. I reviewed the current disaster and emergency action plans.
13. I know what to do in any disaster.
14. I have the knowledge and competence to intervene in an emergency or disaster.
15. In the event of a disaster, I can collaborate with other institutions and organizations in a coordinated manner.
16. The fire department is one of the most competent institutions to respond to a disaster.
17. I received the necessary information about emergencies and disasters during the fire department in-service training.
31. I have the strength to respond to an emergency or disaster.
Knowledge19. One of the most critical factors in disaster response is the sufficient number of vehicles, equipment, and workforce.
20. Fast and effective coordination is one of the most critical factors in disaster response.
21. One of the most critical factors in disaster response is the experienced workforce.
22. One of the most critical factors in disaster response is proper pre-disaster risk management.
23. A linear relationship exists between faster recovery after a disaster and disaster awareness.
Table 4. Statistical values pertaining to the fit of the Disaster Risk Management Scale for Firefighters.
Table 4. Statistical values pertaining to the fit of the Disaster Risk Management Scale for Firefighters.
Scale2/sd)RMSEASRMRIFICFIGFITLI
Model3.6430.0590.0490.9450.9440.8810.937
Table 5. Introductory Statistics for the Disaster Risk Management Scale for Firefighters.
Table 5. Introductory Statistics for the Disaster Risk Management Scale for Firefighters.
Mean ± SDM (Min-Max)Dimension 1Dimension 2Dimension 3Dimension 4
Perception of security47.84 ± 9.2648 (12–60)1
Attitude30.29 ± 4.8031 (7–35)r = 0.605
p < 0.001
1
Self-sufficiency28.56 ± 5.5428 (7–35)r = 0.740
p < 0.001
r = 0.682
p < 0.001
1
Knowledge20.99 ± 3.8021 (5–25)r = 0.624
p < 0.001
r = 0.709
p < 0.001
r = 0.714
p < 0.001
1
Disaster Risk Management Scale for Firefighters127.68 ± 20.49127 (31–155)r = 0.910
p < 0.001
r = 0.824
p < 0.001
r = 0.897
p < 0.001
r = 0.837
p < 0.001
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Ütük, A.; Baraçlı, H. Evaluation of the Knowledge and Awareness of Firefighters in Turkey in Disaster Risk Management. Sustainability 2024, 16, 3720. https://doi.org/10.3390/su16093720

AMA Style

Ütük A, Baraçlı H. Evaluation of the Knowledge and Awareness of Firefighters in Turkey in Disaster Risk Management. Sustainability. 2024; 16(9):3720. https://doi.org/10.3390/su16093720

Chicago/Turabian Style

Ütük, Ayşe, and Hayri Baraçlı. 2024. "Evaluation of the Knowledge and Awareness of Firefighters in Turkey in Disaster Risk Management" Sustainability 16, no. 9: 3720. https://doi.org/10.3390/su16093720

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop