Hubungan antara Persepsi Risiko COVID-19 dan Self-Efficacy Menghadapi COVID-19 dengan Kepatuhan terhadap Protokol Kesehatan pada Masyarakat Surabaya
DOI:
https://doi.org/10.35814/mindset.v1i01.2601Kata Kunci:
risk perception, self-efficacy, obedienceAbstrak
In 2020 the whole world is facing a coronavirus (COVID-19) pandemic that attacks human respiration and can cause death. The way to stop and slow down the transmission of the COVID-19 virus according to the WHO (World Health Organization) is to implement health protocols. A person's beliefs or beliefs about potential hazards are very important in shaping health behavior by complying with health protocols. The purpose of this study was to find a relationship between the variables of COVID-19 risk perception, self-efficacy and health protocol compliance in the people of Surabaya. The subjects in this study were the people of Surabaya aged 20-30 years as many as 256 respondents. The data analysis technique in this study used the Rho Spearman test which was processed with the help of SPSS (Statistical Product and Service Solution) version 20.0 for windows. The results of the analysis (1) Rho Spearman showed that the perceived risk of COVID-19 was positively correlated with obedience (rho = 0.591; p < 0.01). The results of the analysis (2) Rho Spearman self-efficacy was positively correlated with obedience (rho = 0.376; p < 0.01).
Referensi
Abdul, A. R., Nuraini, A., Elisa, K., & Iman, S. (2020). Faktor-Faktor Psikososial dari Ketidakpatuhan Masyarakat pada Masa Pandemik. Artikel, 19, 1-10.
Abusabha, R., & Acchterberg, C. (1997). Review of self efficacy and locus of control for nutritiona. Journal American Dietitian Association, 97, 1122-1132.
Arini, A. T. (2016). Persepsi risiko di Indonesia: Tinjauan kualitatif sistematik. Buletin Psikologi, 20(1-2), 66-81. https://doi.org/10.22146/bpsi.11949
Blass, T. (1991). Understanding behavior in the Milgram Obedience Experiment: The role of personality, situations, and their interactions. Journal of Personality and Social Psychology, 60(3), 398-413. https://doi.org/10.1037/0022-3514.60.3.398
Brewer, N. T., Chapman, G. B., Gibbons, F. X., Gerrard, M., McCaul, K. D., & Weinstein, N. D. (2017). Meta-analysis of the relationship between risk perception and health behavior: The example of vaccination. Health Psychology, 26(2), 136-145. https://doi.org/10.1037/0278-6133.26.2.136
Brewer, N. T., Chapman, G. B., Rothman, A. J., Leask, J., & Kempe, A. (2017). Increasing vaccination: Putting psychological science into action. Psychological Science in the Public Interest, 18(3), 149-207. https://doi.org/10.1177/1529100618760521
Carlucci, L., D’ambrosio, I., & Balsamo, M. (2020). Demographic and attitudinal factors of adherence to quarantine guidelines during covid-19: The italian model. Frontiers in Psychology, 11(October), 1-13. https://doi.org/10.3389/fpsyg.2020.559288
Cori, L., Bianchi, F., Cadum, E., & Anthonj, C. (2020). Risk perception and covid-19. International Journal of Environmental Research and Public Health, 17(9). https://doi.org/10.3390/ijerph17093114
Dryhurst, S., Schneider, C. R., Kerr, J., Freeman, A. L. J., Recchia, G., van der Bles, A. M., & van der Linden, S. (2020). Risk perceptions of COVID- 19 around the world. Journal of Risk Research, 23(7-8), 994-1006. https://doi.org/10.1080/13669877.2020.1758193
Leppin, A., & Aro, A. R. (2009). Risk perceptions related to SARS and avian influenza: Theoretical foundations of current empirical research. International Journal of Behavioral Medicine, 16(1), 7-29. https://doi.org/10.1007/s12529-008-9002-8
Martos-Méndez, M. J. (2015). Self-efficacy and adherence to treatment: the mediating effects of social support. Journal of Behavior, Health & Social Issues, 7(2), 19-29. https://doi.org/10.5460/jbhsi.v7.2.52889
Milgram, S. (1963). Behavioral study of obedience. Journal of Abnormal and Social Psychology, 67(4), 371-378. https://doi.org/10.1037/h0040525
Plohl, N., & Musil, B. (2021). Modeling compliance with COVID-19 prevention guidelines: The critical role of trust in science. Psychology, Health and Medicine, 26(1), 1-12. https://doi.org/10.1080/13548506.2020.1772988
Roma, P., Monaro, M., Muzi, L., Colasanti, M., Ricci, E., Biondi, S., & Mazza, C. (2020). How to improve compliance with protective health measures during the covid-19 outbreak: Testing a moderated mediation model and machine learning algorithms. International Journal of Environmental Research and Public Health, 17(19), 1-17. https://doi.org/10.3390/ijerph17197252
Rundmo, T., & Iversen, H. (2004). Risk perception and driving behaviour among adolescents in two Norwegian counties before and after a traffic safety campaign. Safety Science, 42(1), 1-21. https://doi.org/10.1016/S0925-7535(02)00047-4
Sinuraya, R. K., Destiani, D. P., Puspitasari, I. M., & Diantini, A. (2018). Medication adherence among hypertensive patients in primary healthcare in Bandung city. Indonesian Journal of Clinical Pharmacy, 7(2), 124-133. https://doi.org/10.15416/ijcp.2018.7.2.124
Slovic, P., Fischhoff, B., Lichtenstein, S., & Roe, F. J. C. (1981). Perceived risk: Psychological factors and social implications. Proceedings of the Royal Society of London. A. Mathematical and Physical Sciences, 376(1764), 17-34. https://doi.org/10.1098/rspa.1981.0073
Yıldırım, M., & Güler, A. (2020). Factor analysis of the COVID-19 perceived risk scale: A preliminary study. Death Studies, 0(0), 1-8. https://doi.org/10.1080/07481187.2020.1784311
