Predictors of Disaster Response Self-Efficacy Among Adult Residents in Selected Highly-Dense Barangays in Tondo, Manila

Authors

  • Pamela Desalit College of Nursing, University of Santo Tomas, Manila, Philippines Author
  • Gielian Bernard Duque College of Nursing, University of Santo Tomas, Manila, Philippines Author
  • Trisha Mae Edradan College of Nursing, University of Santo Tomas, Manila, Philippines Author
  • Krizza Hana Enciso College of Nursing, University of Santo Tomas, Manila, Philippines Author
  • Micaela Raine Enriquez College of Nursing, University of Santo Tomas, Manila, Philippines Author
  • Warren Kemuel M. Pan College of Nursing, University of Santo Tomas, Manila, Philippines Author

DOI:

https://doi.org/10.18485/ijdrm.2025.7.1.17

Keywords:

predictors, disaster response, self-efficacy, highly-dense barangays, Tondo, Manila

Abstract

The Philippines' geographical location and high population density, along with the effects of climate change, make the country vulnerable to disasters like typhoons, fires, earthquakes, and volcanic eruptions. Densely populated areas, such as Tondo, Manila, are especially at risk, necessitating stronger community disaster preparedness and response efforts. Thus, this study examined the predictors and level of disaster response self-efficacy (DRSE) among adult residents of highly dense barangays in Tondo, Manila. The study utilised a descriptive correlational research design. A total of 281 participants from three selected, highly dense barangays in Tondo, Manila, were recruited through convenience sampling. Data were collected using an adapted and validated instrument that assessed disaster response self-efficacy and its associated predictors. The reliability of the instrument was confirmed using Cronbach’s alpha, and the data were analysed using multiple linear regression in IBM SPSS Version 25. Significant predictors of disaster response self-efficacy included community support (B = 0.382, p < 0.000), past disaster experience (B = 0.196, p < 0.000), perceived susceptibility (B = 0.169, p = 0.006), and monthly income (B = -0.00000685, p = 0.005). No significant associations were observed for gender, education level, duration of residence, geographical perspective, or perceived severity of the condition. Overall, participants exhibited high disaster response self-efficacy. Community support, past disaster experiences, and perceived susceptibility all enhance disaster response self-efficacy in highly dense urban populations, while income constraints appear to be a limiting factor. These findings underscore the need for targeted public health strategies to strengthen community resilience and preparedness in vulnerable areas.

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References

1. Adeola, F. (2009). Katrina Cataclysm: Does Duration of Residency and Prior Experience Affect Impacts, Evacuation, and Adaptation Behavior Among Survivors? Sage Journals. 41(4). https://doi.org/10.1177/0013916508316651

Approach. Sustainability, 15(8), 6427–6427. https://doi.org/10.3390/su15086427

2. Bempah, S. A., & Øyhus, A. O. (2017). The role of social perception in disaster risk reduction: Beliefs, perception, and attitudes regarding flood disasters in communities along the Volta River, Ghana. International Journal of Disaster Risk Reduction, 23, 104–108. https://doi.org/10.1016/j.ijdrr.2017.04.009

3. Bhandari, P. (2021). Correlational Research. https://www.scribbr.com/methodology/correlational-research/

4. Bollettino, V., Alcayna-Stevens, T., Sharma, M., Dy, P., Pham, P. & Vinck, P., (2020). Public perception of climate

5. Bronfman, N. C., Cisternas, P. C., Repetto, P. B., & Castañeda, J. V. (2019). Natural disaster preparedness in a multi-hazard environment: Characterizing the sociodemographic profile of those better (worse) prepared. PloS One, 14(4), e0214249–e0214249. https://doi.org/10.1371/journal.pone.0214249

6. Carla S, R. G. (2019). School-community collaboration: disaster preparedness towards building resilient communities. International Journal of Disaster Risk Management, 1(2), 45-59.

7. Chakma, U. K., Hossain, A., Islam, K., Hasnat, G. T., & Kabir. (2020). Water crisis and adaptation strategies by tribal community: A case study in Baghaichari Upazila of Rangamati District in Bangladesh. International Journal of Disaster Risk Management, 2(2), 37-46.

Change and disaster preparedness: Evidence from the Philippines. Climate Risk Management. https://doi.org/10.1016/j.crm.2020.100250

8. Choi, J. (2021, December 27). Life in the Peripheries - Tondo and Baseco. School of Advanced International Studies Perspectives.

9. Çiriş Yildiz, C., & Yildirim, D. (2022). The Effects of Disaster Nursing Education Program on Beliefs in General Disaster Preparedness, Disaster Response Self-Efficacy, and Psychological Resilience in Nursing Students. Nursing Education Perspectives, Publish Ahead of Print. https://doi.org/10.1097/01.nep.0000000000001011

10. Cvetković, V. (2024). Essential Tactics for Disaster Protection and Rescue. Scientific-Professional Society for Disaster Risk Management, Belgrade.

11. Cvetković, V. M. (2019). Risk Perception of Building Fires in Belgrade. International Journal of Disaster Risk Management, 1(1), 81–91. https://doi.org/10.18485/ijdrm.2019.1.1.5

12. Cvetković, V. M., & Janković, B. (2020). Private Security Preparedness for Disasters Caused by Natural and Anthropogenic Hazards. International Journal of Disaster Risk Management, 2(1), 23–33. https://doi.org/10.18485/ijdrm.2020.2.1.3

13. Donner, W., & Rodiguez, H. (2011). Disaster risk and vulnerability. https://www.prb.org/resources/disaster-risk/

14. Drabek, T. E. (2005). Predicting disaster response effectiveness. International Journal of Mass Emergencies & Disasters, 23(1), 49–72. https://doi.org/10.1177/028072700502300103

E. M. (2023). Simulation Training Needs Assessment for Disaster Preparedness and Disaster Response among selected agencies in the National Capital Region, Philippines. International Journal of Disaster Risk Reduction, 94, 103824. https://doi.org/10.1016/j.ijdrr.2023.103824

15. El-Mougher, Arch. M. M. A. (2022). Level of Coordination Between the Humanitarian and Governmental Organizations in Gaza Strip and Its Impact on the Humanitarian Interventions to the Internally Displaced People (IDPs) Following May Escalation 2021. International Journal of Disaster Risk Management, 4(2), 15–44. https://doi.org/10.18485/ijdrm.2022.4.2.2

16. Gammoh, L.A., Dawson, I. G. J., & Katsikopoulos, K. (2023). How flood preparedness among Jordanian citizens is influenced by self-efficacy, sense of community, experience, communication, trust and training. International Journal of Disaster Risk Reduction, 87, 103585–103585. https://doi.org/10.1016/j.ijdrr.2023.103585

17. Gilbuena, R., Kawamura, A., Medina, R., Nakagawa, N., & Amaguchi, H. (2013). Environmental impact assessment using a utility-based recursive evidential reasoning approach for structural flood mitigation measures in Metro Manila, Philippines. Journal of Environmental Management, 131, 92–102. https://doi.org/10.1016/j.jenvman.2013.09.020

18. Gumasing, Ma. J. J., & Sobrevilla, Ma. D. M. (2023, April 10). Determining Factors Affecting the Protective Behavior of Filipinos in Urban Areas for Natural Calamities Using an Integration of Protection Motivation Theory, Theory of Planned Behavior, and Ergonomic Appraisal: A Sustainable Disaster Preparedness

19. Gumasing, Ma. J., Ong, A. K., Prasetyo, Y. T., & Nadlifatin, R. (2022, January 4). Determination of factors affecting the response efficacy of Filipinos under Typhoon Conson 2021 (Jolina): An extended protection motivation theory approach. International Journal of Disaster Risk Reduction, 70, 102759–102759. https://doi.org/10.1016/j.ijdrr.2021.102759

20. Holden, W., Nadeau, K., & Porio, E. (2017). The Philippines: Understanding the Economic and Ecological Crisis. http://www.saisperspectives.com/2021-22-issue/2021/12/27/life-in-the-peripheries-tondo-and-baseco

https://doi.org/10.1007/s11069-022-05731-y

21. Hudson, P., Hagedoorn, L., & Bubeck, P. (2020). Potential Linkages Between Social Capital, Flood Risk Perceptions, and Self-Efficacy. International Journal of Disaster Risk Science, 11(3), 251–262. https://doi.org/10.1007/s13753-020-00259-w

22. Islam, R., & Walkerden, G. (2022). Livelihood assets, mutual support and disaster resilience in coastal Bangladesh.

23. Jackson, E. L. (1981). Response to earthquake hazard: The west coast of North America. Environment and Behaviour, 13, 387–416. https://doi.org/10.1177/001391658113400

24. Kato, T. (2021). Sharing experience by residents of past disaster sites: Effects of time from disasters and types of experience. International Journal of Disaster Risk Reduction. https://doi.org/10.1016/j.ijdrr.2021.102390

25. Kurata, Y. B., Prasetyo, Y. T., Ong, A.K., Nadlifatin, R., & Chuenyindee. T. (2021). Factors affecting perceived effectiveness of Typhoon Vamco (Ulysses) flood disaster response among Filipinos in Luzon, Philippines: An integration of protection motivation theory and extended theory of planned behavior. International Journal of

26. Labrague, L.J., Kamanyire, J.K., Achora, S., Wesonga, R., Malik, A., & Sultan, A.S. (2021). Predictors of disaster response self-efficacy among nurses in Oman. International Journal of Disaster Risk Reduction, 61, 102300–102300. https://doi.org/10.1016/j.ijdrr.2021.102300

27. Legesse, S.M., Galang, D.D., Balila, J.S., Balila, E.A., Estrada, M.R., Balagtas, M., & Marticio, F.V. (2016). Cognitive Factors, Attitude, And Social Support As Determinants Of Disaster Preparedness: Basis For A Risk Management Program, 4(1). https://doi.org/10.35974/isc.v4i1.1800.

28. Lena. (2022, July 30). The Worst Slums in Manila: One Day in “Happyland.” Not AnotherBackpacker. https://notanotherbackpacker.com/en/slums-in-manila-happyland/

29. Li, H., Bi, R., & Zhong, Q. (2017). The development and psychometric testing of a Disaster Response Self-Efficacy Scale among undergraduate nursing students. Nurse Education Today, 59, 16–20. https://doi.org/10.1016/j.nedt.2017.07.009

30. Lindell, M. K., & Perry, R. W. (2011). The Protective Action Decision Model: Theoretical Modifications and Additional Evidence. Risk Analysis, 32(4), 616–632. https://doi.org/10.1111/j.1539-6924.2011.01647.x

31. Mideksa, S. (2021). Cognitive Factors as Determinants of Typhoon Preparedness among Public High School Students in the Philippines. Ethiopian Journal of Health Sciences, 31(4). https://doi.org/10.4314/ejhs.v31i4.16

32. Mizrak, S. & Turan, M. (2022). Effect of Individual characteristics, risk perception, self-efficacy and social support on willingness to relocate due to floods and landslides. PubMed Central. 116(2): 1615-1637.

33. Motsholapheko, M., Kgathi, D., & Vanderpost, C. (2010). Rural livelihoods and household adaptation to extreme flooding in the Okavango Delta, Botswana. Physics and Chemistry of the Earth, Parts A/B/C, 36(14-15), 984-995. https://doi.org/10.1016/j.pce.2011.08.004

34. Okazaki, K., & Pribadi, K. S. (2015). Resilient Homes Make Cities Resilient. Urban Disasters and Resilience in Asia, 49-68. https://doi.org/10.1016/B978-0-12-802169-9.00004-5

35. Olawuni, P., Olowoporoku, O., & Daramola, O. (2020, November 1). Determinants of residents’ participation in Disaster Risk Management in Lagos metropolis Nigeria. International Journal of Disaster Risk Management. https://doi.org/10.18485/ijdrm.2020.2.2.1

36. Ong, A. K. S., Prasetyo, Y. T., Lagura, F. C., Ramos, R. N., Sigua, K. M., Villas, J. A.,

37. Panighari, G. S., & Suar, D. (2021). Resilience among survivors in the aftermath of the 2018 Kerala flood: An avenue toward recovery. International Journal of Disaster Risk Reduction. https://doi.org/10.1016/j.ijdrr.2021.102477

38. Parvin, G. A., Surjan, A., & Shaw, R. (2015). Urban Risk, City Government, and Resilience. Urban Disasters and Resilience in Asia, 21-34. https://doi.org/10.1016/B978-0-12-802169-9.00002-1

39. Philippine Statistics Authority. (2021a, July 13). Highlights of the Population Density of the Philippines 2020 Census of Population and Housing (2020 CPH). Psa.gov.ph. https://psa.gov.ph/statistics/population-and-housing/node/164857

40. Qiu, D., Lv, B., Cui, Y. & Zhan, Z. (2023). The role of response efficacy and self-efficacy in disaster preparedness actions for vulnerable households. EGUsphere. 23 (12). 3789-3803. https://doi.org/10.5194/nhess-23-3789-2023

41. Rao, S., Doherty, F. C., Teixeira, S., Takeuchi, D. T., & Pandey, S. (2022). Social and Structural Vulnerabilities: Associations with Disaster Readiness. Global Environmental Change, 78, 102638.

42. Ridulme, Q.R. & Garcia, P.G. (2017). An Analysis of Narratives on Natural Disaster: Social Construction of Earthquake Experience of Selected Respondents in an Academic Institution in the Philippines. Journal of Nature Studies. 16 (2): 94-114

43. Rivera, J. D. (2022). Factors Influencing Preparedness Self-Efficacy Among Hispanics and Latinos in the United States. Disaster Prevention and Management: An International Journal, 31(4), 475–490. https://doi.org/10.1108/DPM-11-2021-0299 Romo‐Murphy, E., James, R., & Adams, M. (2011). Facilitating disaster preparedness

44. Rüstemli, A., & Karanci, A. N. (1999). Correlates of earthquake cognitions and preparedness behaviour in a population affected by earthquakes. The Journal of Social Psychology, 139, 91–101.

45. Selya, A. S., Rose, J. S., Dierker, L. C., Hedeker, D., & Mermelstein, R. J. (2012). A Practical Guide to Calculating Cohen’s f2, a Measure of Local Effect Size, from PROC MIXED. Frontiers in Psychology, 3. https://doi.org/10.3389/fpsyg.2012.00111

46. Sofyana, H., Ibrahim, K., Afriandi, I., & Herawati, E. (2024). The implementation of disaster preparedness training integration model based on Public Health Nursing (ILATGANA-PHN) to increase community capacity in natural disaster-prone areas. BMC Nursing, 23(1). https://doi.org/10.1186/s12912-024-01755-w

47. Tan, H. et al. (2024). Meta-analyses of motivational factors of response to natural disaster, Journal of Environmental Management, 351, p. 119723. https://doi.org/j.jenvman.2023.119723.

Through local radio broadcasting. Disasters, 35(4), 801–815

48. Uhm, D., Jung, G., Yun, Y., Lee, Y., & Lim, C. (2019). Factors Affecting the Disaster Response Competency of Emergency Medical Technicians in South Korea. Asian Nursing Research, 13(4), 264–269. https://doi.org/10.1016/j.anr.2019.09.005

49. UNDRR. (2023, March 28). Vulnerable Philippines – working towards climate adaptation. Preventionweb.net. https://www.preventionweb.net/news/vulnerable-philippines-working-towards-cli mate-adaptation

50. UNDRR. (2024). Disaster. United Nations Office for Disaster Risk Reduction. https://www.undrr.org/terminology/disaster

51. Young, M. N., Diaz, J. F., Persada, S. F., & Redi, A. A. N. P. (2021). Factors affecting intention to prepare for mitigation of “the big one” earthquake in the Philippines: Integrating protection motivation theory and extended theory of planned behavior. International Journal of Disaster Risk Reduction, 63, 102467.

52. Yu, J., Sim, T., & Qi, W. (2022). Informal social support and disaster preparedness: Mediating roles of perceived collective efficacy and self-efficacy. International Journal of Disaster Risk Reduction, 68, 102734. https://doi.org/10.1016/j.ijdrr.2021.102734.

International Journal of Disaster Risk Management (IJDRM)

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Published

2025-06-16

How to Cite

Desalit, P., Duque, G. B., Edradan, T. M., Enciso, K. H., Enriquez, M. R., & M. Pan, W. K. (2025). Predictors of Disaster Response Self-Efficacy Among Adult Residents in Selected Highly-Dense Barangays in Tondo, Manila. International Journal of Disaster Risk Management, 7(1), 301-312. https://doi.org/10.18485/ijdrm.2025.7.1.17

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