Workplace Resilience and Stress Among Certified Nursing Assistants in Long-Term Care Institutions During the COVID-19 Pandemic.

PURPOSE: To explore the relationship among resilience, stress, and demographic factors in certified nursing assistants (CNAs) who worked in long-term care institutions during the coronavirus disease 2019 pandemic. METHOD: A cross-sectional correlation-based research design was used. Data were collected using a demographic questionnaire, Connor-Davidson Resilience Scale, and Occupational Stress Scale. CNAs from 21 long-term care institutions in Taiwan were recruited. RESULTS: This study included 118 female and 26 male CNAs (response rate = 80%). Mean age was 46.8 years. A moderately negative correlation was found between workplace resilience and stress. Overall, being a woman and parent were found to be significantly correlated with CNAs' resilience. Furthermore, resilience and shift work were important predictors of stress. CONCLUSION: We suggest that leadership and management pay more attention to CNAs' basic demographic background information. Furthermore, timely, relevant strategies can be provided to enhance resilience and reduce workplace stress. [Journal of Gerontological Nursing, 50(7), 19-26.].

Examining the Factors Affecting Psychological Well-Being in Certified Nurse Aides Working at Long-Term Care Institutions.

BACKGROUND: The demand for certified nurse aides (CNAs) in long-term care institutions is gradually increasing. Factors such as well-being that positively influence the work of CNAs have been inadequately explored in the literature. PURPOSE: This study was designed to examine the relationships among social support, self-efficacy, demographics, and psychological well-being in CNAs during the recent COVID-19 pandemic and to assess the moderating role of social support on self-efficacy and well-being in this population. METHODS: In this quantitative correlational study, CNAs from 24 legally registered long-term care institutions were recruited as participants. Data were collected using a demographic questionnaire, the General Self-Efficacy Scale, the Social Support Scale, and the Chinese Happiness Inventory. Partial least squares structural equation modeling was used to test the research hypotheses model. The Strengthening the Reporting of Observational Studies in Epidemiology checklist was followed in this cross-sectional study. RESULTS: A total of 148 CNAs were enrolled as participants. The mean age of the participants was 46.48 years. Social support and having children were identified as being significantly and positively correlated with well-being, and self-efficacy was identified as having no significant impact on well-being. Importantly, social support was found to moderate the relationship between self-efficacy and well-being. Overall, social support and having children were important predictors of well-being, with a combined explanatory power of 41.6% ( Q2 = .28, f2 = 0.40). CONCLUSIONS/IMPLICATIONS FOR PRACTICE: Self-efficacy was found to be less predictive of well-being in the presence of higher levels of social support. Being a parent was also identified as an important factor affecting the well-being of CNAs under stress. Managers of long-term care institutions should intervene to improve the CNA's social support. Also, CNAs who do not have children should pay more attention to their well-being.

Effects of individual characteristics on insomnia severity trajectory among nurses: A prospective longitudinal study.

AIMS: To examine the longitudinal effects of individual characteristics on the change pattern of insomnia and the association of occupational stress with insomnia over time in newly graduated nurses. BACKGROUND: The association between individual factors and insomnia in nurses is inconclusive. Longitudinal research on insomnia in newly graduated nurses is limited. METHODS: This prospective longitudinal study included 200 participants generating 800 observations of insomnia severity during their first year of nursing. We employed growth mixture modelling for data analyses. Both time-varying covariate (occupational stress) and time-invariant covariates (nurses' characteristics) were entered into the model simultaneously. RESULTS: Nurses had a homogeneous insomnia trajectory during the whole year of survey. The educational level significantly predicted the growth rate of insomnia severity among nurses. Occupational stress at each time point was significantly associated with worse insomnia across time points (all p < .001). CONCLUSIONS: Nurses with a baccalaureate degree were more resilient to the development of severe insomnia. Additional studies have an opportunity to investigate the reason for the effects of the educational level on the pattern of insomnia. IMPLICATIONS FOR NURSING MANAGEMENT: Considering nurses' occupational stress and educational level would lead more effective management of stress and insomnia in newly graduated nurses.