A scoping review of resilience scales of adults to develop a prototype disaster resilience tool for healthcare rescuers

Mao, Xiaorong; Wang, Zonghua; Hu, Xiuying; Loke, Alice Yuen

doi:10.1016/j.ijdrr.2020.101678

Cited by 8 publications

(5 citation statements)

References 59 publications

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“…14 Resilience research began with a focus on poor children and then expanded to adults and chronic diseases (including patients and their informal caregivers), general college students and nursing students, school teachers, and disaster survivors and rescuers (including those deployed to disaster and emergency management officers). 15,16 Resilience is defined as 'the process of adapting well in the face of adversity, trauma, tragedy, threats, or major sources of stress, such as family and relationship conflicts, serious health problems, or workplace and financial stressors.' 17 This definition implicitly indicates that people may 'rebound' regardless of various adversities and challenges.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Resilience, Coping Style, Anxiety, and Depression Among Rescue Nurses on EMTs During the Disaster Preparedness Stage in Sichuan, China: A Descriptive Cross-Sectional Survey

Huang

et al. 2022

Disaster med. public health prep.

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Objective: The purpose of this study was to investigate the current situation and influencing factors of resilience, coping style, anxiety, and depression among rescue nurses on Emergency Medical Teams (EMTs) during the disaster preparedness stage, and to explore the relationship between resilience, coping style, anxiety, and depression. Methods: A descriptive cross-sectional survey was used. The convenience sampling method was used to select rescue nurses from 4 national EMTs in Sichuan Province, China. CD-RISC, SCSQ, Zung SAS, and SDS were used as research tools. Results: A total of 197 valid questionnaires were returned, with a 98.5% response rate. The results of multiple regression analysis showed that average monthly income, depression level, and coping style were the main factors affecting nurses’ resilience. Resilience was significantly and positively correlated with coping style and negatively correlated with anxiety and depression. There were significant differences in SCSQ, Zung SAS, and SDS scores among Clusters. Conclusion: In the disaster preparedness stage, rescue nurses on EMTs have a medium level of resilience and good coping styles, but their levels of anxiety and depression are high. It is suggested that more attention should be devoted to the target population to formulate effective intervention plans, reduce psychological pressures, and improve their capacity for coping with disasters.

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Section: Introductionmentioning

confidence: 99%

Analysis of Resilience, Coping Style, Anxiety, and Depression Among Rescue Nurses on EMTs During the Disaster Preparedness Stage in Sichuan, China: A Descriptive Cross-Sectional Survey

Huang

et al. 2022

Disaster med. public health prep.

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“…The aim of this study was to evaluate the psychometric properties of a disaster resilience measuring tool (DRMT-C) developed by the research team based on a series of studies (Mao et al 2019;Mao, Fung, et al 2020;Mao, Wang, et al 2020), and according to the guidelines on the development of scales (DeVellis 2017). The ultimate aim of establishing the psychometric properties of the measuring instrument was to measure disaster resilience in healthcare rescuers.…”

Section: Discussionmentioning

confidence: 99%

“…However, almost all of these measurements have focused on the community level of disaster resilience and not the individual level. A scoping review of resilience scales of adults found that two measurements have been adopted to assess resilience among disaster healthcare rescue workers at the individual level (Mao, Wang, et al 2020)-the Connor-Davidson Resilience Scale (Connor and Davidson 2003) and the Resilience Scale (Wagnild and Young 1993). However, the two scales were developed among patients with psychiatric disorders and senior citizens, respectively, rather than among healthcare rescue workers in disasters.…”

Section: Introductionmentioning

confidence: 99%

“…The process began with an extensive review of the literature on the characteristics of resilience among disaster rescue workers (Mao, Fung, et al 2020), and a focus group interview study on the views of healthcare rescuers who have been deployed to disaster rescue work on disaster resilience (Mao et al 2019). A scoping review of resilience scales for adults was conducted, and the results of the two previous studies were incorporated, to develop a prototype disaster resilience tool for healthcare rescuers (Mao, Wang, et al 2020). The prototype tool then underwent two rounds of modified Delphi expert survey in proposing the measurement tool .…”

Section: Introductionmentioning

confidence: 99%

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Establishment of the Psychometric Properties of a Disaster Resilience Measuring Tool for Healthcare Rescuers in China: A Cross-Sectional Study

Mao

Chen

et al. 2021

Int J Disaster Risk Sci

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The aim of this study was to test the validity and reliability of a tool for measuring the disaster resilience of healthcare disaster rescuers. A cross-sectional study involving 936 healthcare disaster rescuers of the Sichuan Disaster Response Team was conducted to establish the psychometric properties of the disaster resilience measuring tool (DRMT). Item analysis, exploratory factor analysis, confirmatory factor analysis, and correlation analysis were adopted to analyze the data. Item analysis showed that all but three items had the critical ratio over 3, which indicates adequate discriminability for inclusion in the measuring tool. The exploratory factor analysis showed that 65.93% of the total variance was explained by four factors—self-efficacy, social support, positive growth, and altruism. The confirmatory factor analysis showed goodness of fit for the four-factor model: CMIN/DF (2.846), GFI (0.916 ≥ 0.90), CFI (0.949 ≥ 0.90), AGFI (0.891 ≥ 0.80), and RMSEA (0.063 ≤ 0.08). Criterion validity demonstrated significant associations of the DRMT and the Connor-Davidson Resilience Scale (P < 0.01, r = 0.566). Convergent validity was established by correlation with stress (P < 0.05, r = − 0.095), depression (P < 0.01, r = − 0.127), posttraumatic stress disorder-PCL-C (P < 0.05, r = − 0.100), compassion satisfaction (P < 0.01, r = 0.536), and burnout (P < 0.01, r = − 0.330). The DRMT demonstrated adequate internal consistency (Cronbach’s alpha > 0.84) and stability over the two-week study period (intraclass correlation coefficient > 0.85), and a cut-off point of 61 was suggested. The disaster resilience measuring tool has satisfactory psychometric properties and is a valid, reliable, and valuable instrument for assessing disaster resilience in healthcare rescue workers. The scale needs to be tested further among other populations and those from other cultures.

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“…Based on some of these definitions it can be concluded that resilience is a dynamic process because many factors influence the process of forming personal resilience. (Xiaorong, Zonghua, Xiuying, & Alice, 2020). Therefore, understanding personal resilience, especially for students, is very important so that school can increase the level of student resilience.…”

Section: Building Resilient Schoolmentioning

confidence: 99%

School Strategies in Strengthening Student Resilience in Disaster-Prone Areas

Dwiningrum

Nahdi²,

Aswasulasikin³

et al. 2020

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Resilience is needed by students who live in disaster-prone areas. With strong resilience, students can implement disaster mitigation. This study aims to describe the profile of students' resilience and the strategies carried out by students in strengthening personal resilience. The mixed method research approach was conducted on a research population of SMA/SMK in Lombok Regency, specifically North Lombok, East Lombok, and West Lombok. The respondents were 779 people from 10 schools in disaster-prone areas determined by the Slovin formula. Student resilience profiles were explored according to Reivich and Shatte. Data on how teachers increase students’ resilience were obtained from a focus group discussion (FGD) with 20 teachers from 10 schools. The results of the research prove that the personal resilience profile of students in Lombok from the seven aspects is still not optimal, which is not enough to form resilience personalities (less than 60%). This study affirms that personal resilience is essential in building school resilience to provide a massive contribution to education and disaster mitigation. Regarding recommendations for schools to increase student resilience, it can be done by increasing resilience resources, strengthening social support, having resilient teachers, building resilient school, all aspects of which must work systemically and synergistically.

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A scoping review of resilience scales of adults to develop a prototype disaster resilience tool for healthcare rescuers

Cited by 8 publications

References 59 publications

Analysis of Resilience, Coping Style, Anxiety, and Depression Among Rescue Nurses on EMTs During the Disaster Preparedness Stage in Sichuan, China: A Descriptive Cross-Sectional Survey

Analysis of Resilience, Coping Style, Anxiety, and Depression Among Rescue Nurses on EMTs During the Disaster Preparedness Stage in Sichuan, China: A Descriptive Cross-Sectional Survey

Establishment of the Psychometric Properties of a Disaster Resilience Measuring Tool for Healthcare Rescuers in China: A Cross-Sectional Study

School Strategies in Strengthening Student Resilience in Disaster-Prone Areas

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