Nurse as Educator: Improving Children's Preparedness in Facing Landslides through the Child Preparedness Model

Ika Rahmawati*, Putri Kristyaningsih

Institut Ilmu Kesehatan Bhakti Wiyata, Kediri, East Java, Jawa Timur 64114, Indonesia

*Corresponding Author’s Email: ika.rahmawati@iik.ac.id


ABSTRACT

Background: Disasters can significantly affect children, who are among the most vulnerable populations. Indonesia is geographically and hydrologically prone to various natural disasters. One region in East Java that includes highland areas is Kediri, which has a high risk of landslides. Landslides can cause extensive material and non-material losses within communities. In every stage of crisis management, nurses play a crucial role on the front lines. Careful planning must be conducted to manage disasters effectively, including those involving children. Nurses, as educators, can help enhance children’s preparedness in facing disasters. Methods: This study aimed to analyze disaster management, focusing on children’s preparedness for landslides through the Child Preparedness Model. This model is designed to improve children’s readiness to face landslides through structured and effective steps. The study was conducted over one year, continuing from the previous research phase, which included focus group discussions and model testing. Children received preparedness education aligned with the model twice. This research employed a quasi-experimental design using a one- group pretest–posttest approach involving 120 children from Petungroto Village, Mojo District, Kediri Regency, Indonesia. A purposive sampling technique was used, and a questionnaire assessed landslide preparedness. The independent variable was the Child Preparedness Model, while the dependent variable was children’s preparedness for landslides. Results: The model was analyzed using a paired t-test, which showed a p-value of 0.000 and t = 26.335, indicating that the Child Preparedness Model significantly influenced children’s preparedness for landslides. Conclusion: Implementation of the Child Preparedness Model is essential to enhance preparedness, particularly among children facing landslides.

Keywords: Highland Children; Landslide Preparedness; Nurse as Educator

INTRODUCTION

Disasters are events that can cause extensive loss of property, life, and environmental stability (Panda et al., 2020). Because of their sudden onset and destructive nature, disasters create enormous public health challenges, including loss of life, property damage, economic disruption, and long-term health impacts (Gençbaş & Yalcin, 2023). Disasters may result from natural, non-natural, or human factors and can occur anytime, affecting anyone and causing significant destruction. Many disasters occur when people are unprepared, leading to high numbers of casualties (BNPB, 2021). When faced with a real disaster, individuals often experience shock and unpreparedness due to the magnitude of the event and its impacts (Li et al., 2017). These conditions emphasize the need for effective disaster management to reduce both physical and non-physical losses. Planning and simulation for such events are key factors in achieving an effective response (Chartoff et al., 2023).

Indonesia is one of the most disaster-prone countries in the world, both in terms of hydrologically and geologically. Disasters can range from minor to catastrophic events. At every stage of crisis management, nurses play a crucial frontline role (Putra et al., 2020). To improve their capacity in emergency response, nurses must possess adequate knowledge and skills, which contribute to better preparedness in disaster situations (Pandawa et al., 2025).

Throughout 2022, Indonesia recorded 3,350 natural disasters. According to data from January 1 to November 30, 2022, the highest number of cases involved landslides, totaling 775 incidents. These disasters damaged thousands of homes and public facilities, including 12,367 residential buildings, 282 public facilities, 102 schools, 110 places of worship, and 27 healthcare facilities. A total of 85 people died, 131 were injured, and 30,505 were displaced. East Java is categorized as a multi-hazard region (BNPB, 2021). According to Indonesia’s Disaster Risk Index, Kediri Regency, an area with many highlands, is at high risk of landslides (Chandra et al., 2013). The Central Bureau of Statistics of East Java notes that Mojo District in Kediri Regency experiences landslides almost every year. Petungroto Village, located in this district, often suffers material and non-material losses due to recurring landslides (Rahmawati & Kristyaningsih, 2023).

When disasters strike, they have immediate impacts on the physical, biological, and social environment, resulting in property destruction and human suffering (Lai & La Greca, 2020). Children are particularly vulnerable during such events, facing physical health risks, psychological distress, and disruptions in learning. Each year, approximately 175 million children worldwide are affected by natural disasters such as floods, cyclones, droughts, heatwaves, severe storms, and earthquakes (Kaur & Kang, 2021). In Petungroto Village, children have never received education or information on disaster preparedness, especially regarding landslides. Currently, pre-disaster preparedness is still not prioritized, and children’s readiness to face landslides requires further study.

Disaster risk management represents a comprehensive approach that integrates policies, strategies, and practices aimed at minimizing disaster impacts (Thompson, 2020). According to Indonesian Law No. 24 of 2007, every region must have its own disaster management plan. Preventive measures, mitigation, and preparedness are essential elements in disaster management (Opabola, 2023). To effectively manage disaster situations, well-organized steps and coordination are critical. Proper coordination before a disaster occurs can significantly reduce fatalities, morbidity, and damage (Dehghani et al., 2023). Disaster risk management should therefore be implemented in a planned, integrated, and comprehensive manner (Zhong et al., 2014).

Actions to strengthen disaster preparedness should be enhanced through disaster risk management initiatives to minimize potential losses. The model of child preparedness can serve as a guide for stakeholders in disaster management, providing a structured framework for improving children’s readiness. Child preparedness encompassing input, control processes, affectors and output plays a key role in developing resilience (Rahmawati & Kristyaningsih, 2023). The model of child preparedness focuses on children’s readiness to face disasters and posits that structured interventions can enhance their preparedness through practical and effective strategies.

Disaster nursing plays a vital role in addressing the health needs of vulnerable populations during large-scale emergencies (Al Thobaity, 2024). Nurses are essential in mitigating disaster impacts on individuals and healthcare systems (Farokhzadian et al., 2024). As health educators, nurses contribute to improving community preparedness, particularly among children (Nopriyanti, 2023). Community nurses also play an essential role in promoting public health through local-level interventions (Akbar et al., 2020). Emergency nurses are responsible for providing preventive care, health education, and primary healthcare services (Bazyar et al., 2020). This study therefore aims to examine the role of nurses as educators in improving children’s preparedness for landslides.

Research Gap

Although numerous studies have examined disaster preparedness in children, most existing research has focused on general disaster education programs or broad disaster-risk-reduction strategies. These studies often do not address hazards with specific characteristics, such as landslides, which require distinct knowledge, skills, and behavioral responses. In Indonesia, one of the world’s most disaster-prone countries, research on child-centered preparedness remains limited, particularly in high-risk regions such as Kediri, East Java. Furthermore, while children are recognized as a vulnerable group in disaster settings, few studies have integrated nurses’ roles as educators into structured preparedness models tailored to children. Existing literature also lacks empirical evaluation of models designed specifically to strengthen children’s readiness for landslides through systematic and replicable steps. Consequently, there is a need for research that validates a targeted preparedness model emphasizing the role of nurses in educating children within landslide-prone communities. This study addresses these gaps by testing the Child Preparedness Model and examining its effectiveness in improving children’s preparedness for landslides.

Research Question

How effective is the Child Preparedness Model as an educational approach delivered by nurses in enhancing landslide preparedness among children living in high-risk areas?

METHODOLOGY

Research Design

This study is a continuation of previous research that developed the Child Preparedness Model. In the second year, the research was conducted over a one-year period in two main stages: the first stage involved Focus Group Discussions (FGDs) and the second stage tested the implementation of the Child Preparedness Model. This research employed a quasi- experimental design using a one-group pretest–posttest approach and adopted a quantitative method (Nwabuko, 2024).

This study’s exploratory design aimed to develop a deeper understanding of child preparedness and disaster management. The research procedure included two phases: (1) conducting FGDs and (2) implementing and testing the model of child preparedness in enhancing children’s readiness for landslides. The study design employed a one-group pretest–posttest approach to assess changes in knowledge and attitudes related to landslide preparedness.

Sample Size

A total of 120 children from Petungroto Village, Mojo District, Kediri Regency, Indonesia, participated in the study. The sampling technique used was purposive sampling, and a questionnaire was applied to measure disaster preparedness. Purposive sampling is commonly used in research because it allows for the intentional selection of participants who meet specific criteria, minimizing bias and enhancing the validity and credibility of the findings (Nyimbili & Nyimbili, 2024).

Pilot Study

The preparedness questionnaire was tested for validity using Pearson’s Product Moment correlation, while reliability testing employed Cronbach’s Alpha, yielding a coefficient of 0.984, which indicates satisfactory reliability. The reliability coefficient of 0.7 indicates satisfactory internal consistency, meaning the items in the questionnaire consistently measure the same concept. The validity test was conducted using Pearson’s Product Moment correlation, and the results showed that all 25 questionnaire items met the established criteria.

Each item demonstrated an r-count value greater than the r-table value and a p-value less than 0.05, indicating that all items are statistically valid and appropriately measure the intended construct. A Pearson validity test deems an instrument valid when its significance value is less than 0.05 (Hidayati et al., 2023).

Validity/Reliability Explanation

The validity and reliability of the preparedness questionnaire were evaluated prior to its use in the study. Instrument validity was assessed using Pearson’s Product Moment correlation, which examines the relationship between each questionnaire item and the total score. An item is considered valid when its r-count value exceeds the r-table value and its p-value is less than 0.05, indicating a significant contribution to measuring the intended construct. All 25 items met these criteria, demonstrating strong content validity. The reliability of the instrument was measured using Cronbach’s Alpha, a statistical coefficient that evaluates the internal consistency of the items. A Cronbach’s Alpha value of 0.70 or higher is generally regarded as acceptable, reflecting consistent measurement across items. In this study, the questionnaire achieved a Cronbach’s Alpha of 0.984, indicating excellent reliability and confirming that the instrument consistently and accurately measures children’s preparedness for landslides.

Table 1: Validity Summary


Item No.

Corrected Item-Total Correlation

r-table

Validity Status

1

0.412

0.312

Valid

2

0.523

0.312

Valid

3

0.352

0.312

Valid

4

0.489

0.312

Valid

5

0.351

0.312

Valid

6

0.411

0.312

Valid

7

0.561

0.312

Valid

8

0.434

0.312

Valid

9

0.376

0.312

Valid

10

0.368

0.312

Valid

11

0.502

0.312

Valid

12

0.471

0.312

Valid

13

0.389

0.312

Valid

14

0.518

0.312

Valid

15

0.463

0.312

Valid

16

0.534

0.312

Valid

17

0.448

0.312

Valid

18

0.367

0.312

Valid

19

0.458

0.312

Valid

20

0.551

0.312

Valid

21

0.482

0.312

Valid

22

0.399

0.312

Valid

23

0.390

0.312

Valid

24

0.563

0.312

Valid

25

0.426

0.312

Valid


Based on Table 1, it can be seen that 25 questions have been declared valid because the calculated r-value exceeds the table r-value and the p-value is less than 0.05.

Inclusion and Exclusion Criteria

The inclusion criteria were (1) children residing in Petungroto Village and (2) children aged 6– 12 years. The exclusion criterion was lack of willingness to participate as respondents.

Tools for Data Collection

The independent variable of this study was the model of child preparedness, while the dependent variable was children’s landslide preparedness. After data collection, data processing and analysis were carried out accordingly.

The intervention included educational sessions lasting approximately eight hours, accompanied by distribution of modules and leaflets. A pretest was conducted on the first day, education sessions on the second day, and a posttest on the third day. In addition to implementing the Child Preparedness Model, this study assessed children’s preparedness levels before and after the intervention.

Study Setting

The study took place in Petungroto Village, Mojo District, Kediri Regency, Indonesia. The FGDs were conducted to elaborate on the model of child preparedness and improve disaster readiness. Focus groups serve as a vital qualitative research method that fosters interactive discussions, enabling in-depth exploration of diverse perspectives (Chai et al., 2024).

Data Analysis

Data analysis for model evaluation employed the paired t-test to determine the significance of changes in preparedness levels before and after the model’s implementation. The model was analyzed using a paired t-test with SPSS 28.0, which showed a p-value of 0.000, t=26.335, and d=2.40, indicating that the Child Preparedness Model significantly influenced children’s preparedness for landslides.

Ethical Consideration


The researchers obtained ethical clearance from the Research Ethics Committee of the Institut Ilmu Kesehatan Bhakti Wiyata Kediri, Indonesia, with reference number 03/FKes/TK/VI/2024 on 13th June 2024. All procedures conducted in this study adhered to ethical standards for research involving human participants, including informed consent, confidentiality and voluntary participation.


RESULTS

Table 2: Respondents’ Characteristics (N=120)


Characteristics

Category

Sum

Percentage(%)

Age

6-8 years

54

45%

8-12 years

66

55%

Gender

Male

24

20%

Female

96

80%

Education History

Never

108

87.5%

Ever

15

12.5%

Table 2 presents the demographic characteristics of the respondents. The data show that 55% of respondents were aged 8–12 years, while 45% were aged 6–8 years. A majority of respondents were female (80%), and 87.5% had previously received some form of education about natural disasters, although primarily through indirect sources such as posters or flyers.

Table 3: Descriptive Statistics

N

Minimum

Maximum

Mean

Std. Deviation

Age

120

1.00

2.00

1.5500

0.49958

Gender

120

1.00

2.00

1.8000

0.40168

Education History

120

1.00

2.00

1.1000

0.30126

Valid N (listwise)

120


Based on Table 3, the results show that the mean age is 1.5500, the mean gender is 1.8000, and the mean education history is 1.1000. Meanwhile, the standard deviation values indicate that age has a standard deviation of 0.49958, gender has 0.40168, and education history has 0.30126.


image

Figure 1: Model for Children’s Preparedness


The Child Preparedness Model illustrates a disaster risk management framework centered on children’s preparedness. The model encompasses input, control processes, affectors, and outputs that collectively contribute to disaster resilience. It is an adaptation of Roy’s Adaptation Model, emphasizing how children can develop adaptive responses when facing natural disasters such as landslides.

Table 4: Children’s Preparedness Before and After Implementation of the Model (N=120)


Indicators

Preparedness

Difference between pretest and post test

Pretest

Percentage (%)

Post test

Percentage (%)

Ready

0

0%

80

66.6%

80

Less ready

24

20%

20

33.4%

4

Not ready

96

80%

0

0%

96


As shown in Table 4, children’s preparedness levels improved significantly following the implementation of the Child Preparedness Model. Prior to the intervention, 80% of respondents were categorized as “not ready,” while only 20% were “less ready.” After the intervention, 66.6% of respondents were classified as “ready,” 33.4% as “less ready,” and none were “not ready.” These results indicate a marked improvement in children’s readiness to respond to landslide disasters following the educational intervention. The difference between the pretest and posttest is 80 ready, 4 less ready, and 96 not ready.

Table 5: Paired T-Test Results (N=120)


Paired Samples Test

Paired Differences

T

df

Significa nce level (2-

tailed)

Effect Size (Cohen’s d)

Mean

Standard Deviation

Standard Error Mean

95% Confidence Interval of the Difference

Lower

Upper

Pair 1

Pretest Posttest

- 62.70000

6.16114

0.56243

-63.81367

-61.58633

26.335

119

0.000

2.40

T=statistical t-value from the t-test; 2-tailed= The test checks for differences in both directions (whether the mean is higher or lower); Significance level=(p-value)- p-value is statistically highly significant; Effect Size (Cohen’s d) is large


According to the results of the paired t-test, the application of the Child Preparedness Model significantly influenced children’s preparedness for landslides, t(119)=26.335, p<0.001, d=2.40. This indicates a statistically significant difference between pretest and posttest scores. After the intervention, children demonstrated improved understanding and behavior related to disaster response. They were able to identify evacuation routes, recognize safe areas during landslides, prepare emergency kits, and memorize important emergency contact numbers (Table 5).

DISCUSSION

The findings of this study demonstrated that most children were initially unprepared to face disasters before the implementation of the Child Preparedness Model. After the intervention, a significant improvement was observed, with the majority of participants categorized as ready to respond to landslides. Globally, healthcare systems continue to exhibit inadequate levels of preparedness for pediatric disaster events, with the issue being particularly pronounced in resource-constrained environments (Onyejesi et al., 2025). Educational interventions play a crucial role in improving children’s readiness to face disasters. By receiving appropriate disaster education, children can develop knowledge, attitudes, and behaviors that support disaster preparedness. This finding aligns with Nofal et al. (2018), who emphasized that healthcare providers, particularly nurses, play an essential role in minimizing the impact of disasters on victims and healthcare systems (Nofal et al., 2018).

Emergency nurses are key actors in disaster preparedness and response. To ensure effective responses during real emergencies, they participate in disaster drills and simulation exercises (Olorunfemi & Adesunloye, 2024). This aligns with national recommendations emphasizing that nurses must be equipped to advance community health and disaster readiness (Wakefield et al., 2021) and also aligns with the nursing role as an educator (Siregar et al., 2022). Nurses also enhance community knowledge through education and counseling activities (Bastina, 2022). Health education can be delivered through counseling or training sessions (Ulya et al., 2023). While the lecture method has been proven effective for increasing knowledge, it can be complemented with interactive methods such as educational games (Komala & Febriani, 2023). In this study, nurses and researchers provided direct counseling to respondents, followed by the distribution of informational leaflets to reinforce learning. Factors such as experience, education, and training significantly influence nurses’ knowledge and preparedness for disaster response (Olorunfemi & Adesunloye, 2024). Previous studies have shown that the frequency and quality of training are directly associated with higher disaster preparedness among healthcare workers (Almukhlifi et al., 2021). Nurses with greater experience in disaster management demonstrate higher confidence and competence in handling emergency situations (Labrague et al., 2018).

The child preparedness model incorporates several components—stimuli, input, control processes, affectors, and outputs—that collectively determine disaster preparedness levels among children. Inputs such as age and gender can affect children’s readiness, as older children tend to have greater cognitive maturity and access to information. This finding supports previous research indicating that children’s knowledge of disaster preparedness remains limited. Control processes include coping mechanisms and learning activities that shape children’s adaptive responses during disasters. Affectors involve physiological factors, self- concept elements (such as anxiety and fear), and social interactions. Social interaction plays a particularly important role in determining behavioral responses during emergencies; for example, knowing evacuation routes and appropriate actions during landslides (Rahmawati & Kristyaningsih, 2023). Enhancing children’s capacity through structured education can therefore improve their adaptive responses.

Preparedness involves proactive measures and organizational effectiveness that can reduce casualties and property loss (BNPB, 2021). Since young children are often unable to protect themselves effectively, they are considered a vulnerable group with a higher risk of disaster- related impacts (Humsona et al., 2019). Therefore, strengthening disaster preparedness among children is essential for building resilience. Developing personal capacity and strengthening individual character are critical to improving disaster preparedness (Putra et al., 2020). Community-based disaster risk management is another promising approach to enhance resilience (Zhao et al., 2025). This study reaffirms that children play a central role in community preparedness and that targeted educational interventions can significantly improve their readiness to face disasters such as landslides.

Limitations

This study had several limitations. First, its geographic scope was limited to landslide-prone regions in Kediri Regency, which may restrict the generalizability of findings to other disaster contexts. Second, the use of self-reported questionnaires and observations may have introduced response biases. Third, the study’s short evaluation timeframe may not capture long-term knowledge retention. Additionally, variations in the training and experience of nurses involved in model implementation could have influenced the outcomes. Future research should expand geographic coverage, employ longitudinal designs, and standardize nurse training to ensure consistent model application.

CONCLUSION

This study concludes that the Child Preparedness Model, comprising input factors, coping mechanisms, affectors, and adaptive behavioral outputs, significantly improves children's preparedness for landslides. The model led to substantial gains in children’s ability to identify hazards, recognize evacuation routes, prepare emergency items, and demonstrate appropriate responses during a landslide scenario.

Beyond statistical significance, the model provides practical value for disaster-prone rural communities. Its structured educational components can be adopted by schools, community health nurses, and village disaster response teams to strengthen local resilience. Nurses, in particular, play a vital role as educators in delivering disaster readiness programs and supporting vulnerable populations such as children. The model holds strong potential for integration into school-based disaster curricula and community preparedness initiatives, contributing to long-term disaster risk reduction in high-risk regions.

Future research should include longitudinal studies to assess the sustainability and long-term impact of the Child Preparedness Model on children’s knowledge, attitudes, and behaviors. Expanding the research into various geographical regions and disaster types, such as floods, earthquakes, or volcanic eruptions, would enhance the model’s generalizability and applicability. Moreover, future interventions should involve parents, teachers, and community leaders to strengthen support systems surrounding children. The integration of interactive digital media, simulation-based learning, and school curricula could also enhance engagement and retention of disaster preparedness skills. The Child Preparedness Model holds potential to be further developed as a guideline for national disaster preparedness programs, with nurses serving as key educators and facilitators. Testing the model across different cultural and socio- economic settings may also help refine its structure for broader implementation.

Conflict of Interest

The authors declare no conflict of interest regarding the publication of this study.

ACKNOWLEDGEMENT

The authors would like to express their sincere gratitude to the respondents, the headmaster of Petungroto Elementary School, and the village head of Petungroto, Kediri Regency, East Java, Indonesia, for their cooperation and support throughout the research process. Appreciation is also extended to the research enumerators for their assistance in data collection.

The authors acknowledge the Directorate General of Higher Education, Research, and Technology of Indonesia for providing financial support for this study (Grant Number: 109/E5/PG.02.00.PL/2024).

REFERENCES

Akbar, M. A., Juniarti, N., & Yamin, A. (2020). Meta-synthesis of community health nursing strategy. Asian Community Health Nursing Research, 2(1), 33–40. https://doi.org/10.29253/achnr.v2i1.44

Al Thobaity, A. (2024). Overcoming challenges in nursing disaster preparedness and response: An umbrella review. BMC Nursing, 23(1), 562. https://doi.org/10.1186/s12912-024-02226-y

Almukhlifi, Y., Crowfoot, G., Wilson, A., & Hutton, A. (2021). Emergency healthcare workers’ preparedness for disaster management: An integrative review. Journal of Clinical Nursing, 34(12), 4958–4973. https://doi.org/10.1111/jocn.15965

Badan Nasional Penanggulangan Bencana. (2021). Indeks Risiko Bencana Indonesia (IRBI) Tahun 2021[Indonesian Disaster Risk Index (IRBI) 2021]. Pusat Data, Informasi dan Komunikasi Kebencanaan, (BNPB). https://inarisk.bnpb.go.id/PDF/BUKU%20IRBI%202021.pdf

Bastina, N. (2022, June 15). Peran perawat dalam memberikan pendidikan kesehatan [The role of nurses in providing health education]. Dinas Kesehatan Provinsi Kepulauan Bangka Belitung. https://dinkes.babelprov.go.id/content/peran-perawat-dalam-memberikan- pendidikan-kesehatan

Bazyar, J., Pourvakhshoori, N., & Safarpour, H. (2020). Hospital disaster preparedness in Iran: A systematic review and meta-analysis. Iranian Journal of Public Health, 49(5), 837–850. https://doi.org/10.18502/ijph.v49i5.3201

Chai, C. A., Barrios, M., Gómez-Benito, J., Berrío, A. I., & Guilera, G. (2024). Information retrieval in face-to-face and online focus groups: A systematic review. International Journal of Qualitative Methods, 23, 1–13. https://doi.org/10.1177/16094069241286856

Chandra, A., Williams, M., Plough, A., Stayton, A., Wells, K. B., Horta, M., & Tang, J. (2013). Getting actionable about community resilience: The Los Angeles County Community Disaster Resilience Project. American Journal of Public Health, 103(7), 1181-1189. https://doi.org/10.2105/AJPH.2013.301270

Chartoff, S. E., Kropp, A. M., & Roman, P. (2023). Disaster Planning. In StatPearls. StatPearls Publishing. Bookshelf.

Dehghani, A., Ghomian, Z., Rakhshanderou, S., Khankeh, H., & Kavousi, A. (2023). Components of health system preparedness in disaster risk communication in Iran: A qualitative study. International Journal of Disaster Risk Reduction, 84, 103462. https://doi.org/10.1016/j.ijdrr.2022.103462 .

Farokhzadian, J., Mangolian Shahrbabaki, P., Farahmandnia, H., Taskiran Eskici, G., & Soltani Goki, F. (2024). Nurses’ challenges for disaster response: A qualitative study. BMC Emergency Medicine, 24(1), 1–15, 1. https://doi.org/10.1186/s12873-023-00921-8

Gençbaş, D., & Yalcin, E. K. (2024). Factors affecting the disaster attitudes of volunteers in a non-governmental organization: Path analysis. Disaster Medicine and Public Health Preparedness, 18, e311. https://doi.org/10.1017/dmp.2024.264

Hidayati, R., Kusmanto, A. S., & Kurniawan, A. (2023). Development and construct validation of Indonesian students’ self-confidence scale using Pearson product moment. Pegem Journal of Education and Instruction, 13(3), 94–103. https://doi.org/10.47750/pegegog.13.03.11

Humsona, R., Yuliani, S., & Pranawa, S. (2019). Kesiapsiagaan anak dalam menghadapi bencana: Studi di Kabupaten Sleman [Children’s preparedness in facing disasters: A study in Sleman Regency]. Talenta Conference Series: Local Wisdom Social and Arts (LWSA), 2(1), 1– 8. https://doi.org/10.32734/lwsa.v2i1.619

Kaur, A., & Kang, T. K. (2021). Natural disasters and children’s well-being: A review study. Disaster & Development, 10(2), 65–79.https://nidm.gov.in/journal/PDF/Journal/NIDMJOURNAL_JulDec2021/NIDMJOURNAL_J ulDec2021d.pdf

Komala, R., & Febriani, W. (2023). Knowledge improvement of nutrition and English in school-age children during the COVID-19 pandemic era. Darmabakti Cendekia: Journal ofCommunity Service and Engagements, 5(2), 90–96. https://doi.org/10.20473/dc.v5.i2.2023.90- 96

Labrague, L. J., Hammad, K., Gloe, D. S., McEnroe-Petitte, D. M., Fronda, D. C., Obeidat, A. A., Leocadio, M. C., Cayaban, A. R., & Mirafuentes, E. C. (2018). Disaster preparedness among nurses: A systematic review of literature. International Nursing Review, 65(1), 41–53. https://doi.org/10.1111/inr.12369

Lai, B. S., & La Greca, A. M (2020). Understanding the impacts of natural disasters on children. Society for Research in Child Development, 12(4), 303–318.https://www.srcd.org/research/understanding-impacts-natural-disasters-children

Li, Y. H., Li, S. J., Chen, S. H., Xie, X. P., Song, Y. Q., Jin, Z. H., & Zheng, X. Y. (2017).Disaster nursing experiences of Chinese nurses responding to the Sichuan Ya'an earthquake. International Nursing Review, 64(2), 309–317. https://doi.org/10.1111/inr.12316

Nofal, A., Alfayyad, I., Khan, A., Al Aseri, Z., & Abu-Shaheen, A. (2018). Knowledge, attitudes, and practices of emergency department staff towards disaster and emergency preparedness at a tertiary health care hospital in central Saudi Arabia. Saudi Medical Journal, 39(11), 1123–1129. https://doi.org/10.15537/smj.2018.11.23026

Nopriyanti, R. (2023, February 24). Peran perawat dalam pelayanan kesehatan [The role of nurses in health services]. Dinas Kesehatan Provinsi Kepulauan Bangka Belitung. https://dinkes.babelprov.go.id/content/peran-perawat-dalam-pelayanan-kesehatan

Nwabuko, O. (2024). An overview of research study designs in quantitative research methodology. American Journal of Medical and Clinical Research & Reviews, 3(5), 1–6. https://doi.org/10.58372/2835-6276.1169

Nyimbili, F., & Nyimbili, L. (2024). Types of purposive sampling techniques with their examples and application in qualitative research studies. British Journal of Multidisciplinary and Advanced Studies, 5(1), 90–99. https://doi.org/10.37745/bjmas.2022.0419

Olorunfemi, O., & Adesunloye, O. B. (2024). Disaster preparedness and first aid response: The role of emergency nurses. Archives of Medicine and Health Sciences, 12(2), 231–236. https://doi.org/10.4103/amhs.amhs_12_24

Onyejesi, C., Alsabri, M., Del Castillo, J. C., Aziz, M. M., Doulat Ram, M., Abady, E., & Abdelbar, S. M. M. (2025). Pediatric emergency disaster preparedness: A narrative review of global disparities, challenges, and policy solutions. International Journal of Emergency Medicine, 18(1), 91. https://doi.org/10.1186/s12245-025-00856-w

Opabola, E. A., Galasso, C., Rossetto, T., Meilianda, E., Idris, Y., & Nurdin, S. (2023). Investing in disaster preparedness and effective recovery of school physical infrastructure. International Journal of Disaster Risk Reduction, 90, 103623. https://doi.org/10.1016/j.ijdrr.2023.103623

Panda, S., Mishra, S. P., & Mishra, S. (2020). Disaster risk reduction with a resilient built environment in Odisha, India. Journal of Xidian University, 14(5), 6024–6038. https://doi.org/10.37896/jxu14.5/653

Pandawa, R. M., Saleh, F. M., & Muhammad, R. (2025). Development of disaster nursing competency assessment instruments. International Journal of Public Health Science, 14(1), 94–106. https://doi.org/10.11591/ijphs.v14i1.24697

Putra, D. G. S., Putra, K. R., & Noorhamdani, N. (2020). Factors related to disaster preparedness among nurses: A systematic review. The Malaysian Journal of Nursing, 12(2), 71–79. https://doi.org/10.31674/mjn.2020.v12i02.010

Rahmawati, I., & Kristyaningsih, P. (2023). Children’s preparedness model in facing with landslide disasters. Journal of Nurses and Midwifery, 10(3), 386–390. https://doi.org/10.26699/jnk.v10i3.ART.p386-390

Siregar, P. S., Nurhayati, E. L., Giawa, B., Manalu, M., & Laia, Y. (2022). Pengaruh peran perawat sebagai edukator dalam melakukan perawatan luka di Rumah Sakit Royal Prima Medan [The effect of nurses’ role as educators in performing wound care at Royal Prima Hospital Medan]. Manuju: Malahayati Nursing Journal, 4(9). https://doi.org/10.33024/mnj.v4i9.6902

Thompson, D. D. P. (2019). Disaster risk governance: Four cases from developing countries. Routledge, USA. https://doi.org/10.4324/9781315401171

Ulya, R., Fikri, M., & Jessica, F. (2023). Efektivitas pendidikan kesehatan dengan e-book terhadap pengetahuan dan sikap remaja tentang SADARI tahun 2022 [Effectiveness of health education using an e-book on’ knowledge and attitudes of adolescents about BSE year 2022]. Jurnal Kesehatan Medika Saintika, 14(1), 287–295.http://dx.doi.org/10.30633/jkms.v14i1.1782

Wakefield, M. K., Williams, D. R., Le Menestrel, S., & Flaubert, J. L. (2021). The future of nursing 2020–2030: Charting a path to achieve health equity. National Academies Press. https://doi.org/10.17226/25982

Zhao, G., Hui, X., Zhao, F., Feng, L., Lu, Y., & Zhang, Y. (2025). How does social capital facilitate community disaster resilience? A systematic review. Frontiers in Environmental Science, 12, 1496813. https://doi.org/10.3389/fenvs.2024.1496813

Zhong, S., Hou, X.-Y., Clark, M., Zang, Y., & Fitzgerald, G. (2014). Validation of a framework for measuring hospital disaster resilience using factor analysis. International Journal of Environmental Research and Public Health, 11(6), 6335–6353. https://doi.org/10.3390/ijerph110606335