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Journal : Jurnal NERS

The Psychological Capital and Anxiety Felt by Post-Market Fire Disaster Victims Dian Fitria; Mustikasari Mustikasari; Ria Utami Panjaitan
Jurnal Ners Vol. 15 No. 1 (2020): APRIL 2020
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jn.v15i1.17363

Abstract

Introduction: Traditional markets are a financial resource for traders. Fire disasters at the traditional markets will have a bad effect in terms of generating both financial and psychological problems. There is a lack of studies about the psychological problems experienced by traditional market fire victims. The aim of this study is to identify the correlation of psychological capital (hope, self-efficacy, resilience, and optimism) with the anxiety level among the victims of market fire disasters in Central Jakarta.Methods: This study used a cross-sectional approach with a non-probability sampling method. This study involved 174 market fire victims from Central Jakarta. The independent variables were psychological capital, which includes hope, self-efficacy, resilience, and optimism. The dependent variable was anxiety level. The instruments used the Hope scale, the General Self Efficacy scale, The 14-item Resilience scale (RS-14), the Life Orientation Test-Revised (LOT-R) scale and the Generalized Anxiety Disorder scale. The data analysis used an Independent T-Test, Chi-Square, and multiple logistic regression prediction modeling.Results: The more kiosks burned, the more that the informant’s anxiety increased by about4.845 times after applying a control factor of self-efficacy and optimism with a Wald value of 23.146.Conclusion: Psychological capital (self-efficacy and optimism) have a significant correlation with anxiety in the market fire disaster victims. Good self-efficacy and optimism can reduce the level of anxiety felt.  This study highlighted that psychological capital is a part of the disaster assessment as the basis for providing disaster nursing interventions.
The Effect of Thinking Like a Nurse Simulation as an Online Clinical Learning Method on Nursing Students’ Satisfaction and Confidence during the COVID-19 Pandemic Dian Fitria; Jehan Puspasari; Puspita Hanggit Lestari
Jurnal Ners Vol. 16 No. 2 (2021): OCTOBER 2021
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jn.v16i2.25701

Abstract

Introduction: Corona Virus Disease (Covid-19) was declared as a pandemic by the World Health Organization (WHO) resulting in changes in existing patterns of life. This impact also affects the world of education, including nursing vocational education. Nursing vocational education must be able to design online methods for the clinical competency with existing facilities and infrastructure. The online clinical method can describe the achievements achievable in clinical facilities so as to build students’ satisfaction and confidence.Methods: This research used quasi-experimental pre-posttest without control group method by providing clinical learning thinking like a nurse simulation. The research sample consists of 110 diploma students with purposive sampling method. Simulation focuses on clinical judgment, communication skills, and skill simulations by adopting clinical practice in hospitals. Assessment is measured using Simulation Design Scale (SDS) and Student Satisfaction and Self-Confidence in Learning Scale (SCLS). Pair t test with level of significance 0.05 is used to process data.Results: It is found that there is an increase in students’ satisfaction and confidence using the clinical simulation method of “thinking like a nurse” having an average 40.69%. Meanwhile, online clinical learning methods has an average increase of 114%. There is an effect of thinking like a nurse simulation method on students’ satisfaction and self-confidence (p < 0.05).Conclusion: This research is recommended to add to the reference for online nursing clinical learning methods during Covid-19. Determining the   ratio between students and lecturers in online clinic learning can be considered for further research.