Comprehensive meta-analysis of resilience interventions

Liu, Jenny J. W.; Ein, Natalie; Gervasio, Julia; Battaion, Mira; Reed, Maureen J.; Vickers, Kristin S.

doi:10.1016/j.cpr.2020.101919

Cited by 101 publications

(90 citation statements)

References 45 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Our results reinforce the relevance of targeting individuals (77-79) and organizational factors to promote mental health workers facing high-stress situations. Resiliency can be worked on and improved, as it has been previously demonstrated in a meta-analysis on resilience-focused interventions (80). It is important to acknowledge that although one's resilience can be strengthened and worked on, it wouldn't translate into unacceptable environmental conditions being tolerated as a result.…”

Section: Discussionmentioning

confidence: 95%

Factors Associated With Burnout, Post-traumatic Stress and Anxio-Depressive Symptoms in Healthcare Workers 3 Months Into the COVID-19 Pandemic: An Observational Study

et al. 2021

View full text Add to dashboard Cite

Objective: This study examined how best to identify modifiable protective and risk factors for burnout in healthcare workers in the face of the COVID-19 pandemic. Individual, occupational, organizational and social factors were investigated. The study also assessed the impact of these factors on post-traumatic stress disorder (PTSD), anxiety, and depression.Methods: Healthcare workers in the Quebec (Canada) healthcare system were recruited between May 21 to June 5, 2020. Participants answered an electronic survey 3 months after the COVID-19 epidemic outbreak began in Canada. Using the Maslach Burnout Inventory, PTSD Checklist for DSM-5, and Hospital Anxiety and Depression Scale, we studied the prevalence of burnout, PTSD, anxiety and depression in this cohort. Multivariable logistic or linear regression models including resilience, social and organizational support, workload and access to mental health help, simulation techniques and protective personal equipment (PPE) as well as perception of PPE security were conducted for each outcome.Results: In mid-June 2020, 467 participants completed the survey. We found that half (51.8%) of the respondents experienced burnout characterized by emotional exhaustion and/or depersonalization at least once a week. In total, 158 healthcare workers (35.6%) displayed severe symptoms of at least one of the mental health disorders (24.3% PTSD, 23.3% anxiety, 10.6% depression). Resilience (OR = 0.69, 95% CI: [0.55–0.87]; p = 0.002) and perceived organizational support (OR = 0.75, 95% CI: [0.61–0.93]; p = 0.009) were significantly associated with burnout and other outcomes. Social support satisfaction, perception of PPE security, work type and environment, mental health antecedents and reassignment were associated with PTSD and/or anxiety and/or depression, but not burnout.Conclusion: Future studies should address primarily resilience and perceived organizational support to promote mental health and prevent burnout, PTSD, anxiety and depression.

show abstract

Section: Discussionmentioning

confidence: 95%

Factors Associated With Burnout, Post-traumatic Stress and Anxio-Depressive Symptoms in Healthcare Workers 3 Months Into the COVID-19 Pandemic: An Observational Study

et al. 2021

View full text Add to dashboard Cite

show abstract

“…This finding highlights the complex relationship between resilience and well-being. Several studies have shown that resilience is positively correlated with psychological well-being and vice versa, however, the directional causality of resilience and well-being has not been clearly explored ( Fredrickson and Joiner, 2002 ; Mak et al, 2011 ; Souri and Hasanirad, 2011 ; Rodriguez-Fernandez et al, 2018 ; Liu et al, 2020 ; Wu et al, 2020 ). A study conducted with Chinese college students found further support for the reciprocal relationship between resilience and mental health status, indicating that resilience predicted the level of mental health and vice versa within 1 year from baseline.…”

Section: Discussionmentioning

confidence: 99%

Improving Healthcare Worker Resilience and Well-Being During COVID-19 Using a Self-Directed E-Learning Intervention

et al. 2021

View full text Add to dashboard Cite

Introduction: High rates of burnout, depression, anxiety, and insomnia in healthcare workers responding to the COVID-19 pandemic have been reported globally.Methods: Responding to the crisis, the Foundation for Professional Development (FPD) developed an e-learning course to support healthcare worker well-being and resilience. A self-paced, asynchronous learning model was used as the training intervention. Each module included practical, skill-building activities. An outcome evaluation was conducted to determine if completing the course improved healthcare worker knowledge of and confidence in the learning outcomes of the course, their use of resilience-building behaviours, their resilience, and their well-being. A secondary objective was to explore if there were any associations between behaviours, resilience, and well-being. Participants completed pre- and post-course questionnaires to measure knowledge of and confidence in the learning outcomes, y, frequency of self-reported resilience-building behaviours, and levels of resilience (CD-RISC) and well-being (WHO-5). Results were analysed in STATA using paired T-tests, univariate and multivariate linear regression models.Results: Participants (n = 474; 77.6% female; 55.7% primary care) exhibited significant increases in knowledge, confidence, resilience-building behaviour, resilience, and well-being scores. Statistically significant improvements in the frequency of resilience-building behaviours led to significant improvements in resilience (0.25 points; 95% CI: 0.06, 0.43) and well-being (0.21 points; 95% CI: 0.05, 0.36). Increasing changes in well-being scores had a positive effect on change in resilience scores (β = 0.20; 95% CI: 0.11, 0.29), and vice versa (β = 0.28; 95% CI: 0.14, 0.41).Conclusion: A healthcare worker e-learning course can build knowledge and skills that may prompt changes in resilience-building behaviours and improvements in well-being and resilience scores. The findings suggest that e-learning courses may improve more than competency-based outcomes alone but further research is warranted to further explore these relationships.

show abstract

“…The University of Minnesota Center for Nursing Informatics Omaha System Partnership and Nursing Knowledge Big Data Science initiatives are leading efforts to advance the use of standardized data across settings and systems to advance knowledge discovery to improve population health (Delaney & Weaver, 2019; Pruinelli et al, 2016). Numerous previous studies have demonstrated the value of data generated by structured documentation for use in clinical trials and big data science initiatives using visualization techniques and machine learning methods for pattern discovery, hypothesis generation, and testing (e.g., Bose, Maganti, Bowles, Brueshoff, & Monsen, 2019; Gao et al, 2019; Kaya, Secginli, & Olsen, 2020; Liu et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Exploring Large Community‐ and Clinically‐Generated Datasets to Understand Resilience Before and During the COVID‐19 Pandemic

Monsen

Austin

Goparaju

et al. 2021

J of Nursing Scholarship

View full text Add to dashboard Cite

Purpose: To explore resilience in the context of whole-person health and the social determinants of health at the individual and community levels using large, standardized nursing datasets. Design: A retrospective, observational, correlational study of existing deidentified Health Insurance Portability and Accountability Act (HIPAA)compliant data using the Omaha System and its equivalent, Simplified Omaha System Terms. Methods: We used three samples to explore for patterns of resilience: pre-COVID-19 community-generated data (N = 383), pre-COVID-19 clinical documentation data (N = 50,509), and during-COVID-19 communitygenerated data (N = 102). Community participants used the My Strengths + My Health (MSMH) app to generate the two community datasets. The clinical data were obtained from the Omaha System Data Collaborative. We operationalized resilience as Omaha System Status scores of 4 (minimal signs or symptoms) or 5 (no signs or symptoms) as a discrete strengths measure for each of 42 Omaha System problem concepts. We used visualization techniques and standard descriptive and inferential statistics for analysis. Findings: It was feasible to examine resilience, operationalized as strengths by problem concept, within existing Omaha System or Simplified Omaha System Terms (MSMH) data. We identified several patterns indicating strengths and resilience that were consistent with literature related to community connectedness for community participants, and sleep for individuals in the clinical data. Conclusions: When used consistently, the Omaha System within MSMH enabled robust data collection for a comprehensive, holistic assessment, resulting in better whole-person data including strengths, and enabled us to discover a potentially useful approach for defining resilience in new ways using standardized nursing data. Clinical Relevance: The notion that how we assess individuals and communities (i.e., the completeness of our assessments in relation to wholeperson health) determines what we can know about resilience is seemingly in opposition to the critical need to decrease documentation burden, despite the potential to shift from a problem deficit-based assessment to one of strengths and resilience. However, a patient-facing comprehensive assessment that includes resilience and the social determinants of health can provide a transformative, whole-person platform for strengths-based care and population management.

show abstract

Comprehensive meta-analysis of resilience interventions

Cited by 101 publications

References 45 publications

Factors Associated With Burnout, Post-traumatic Stress and Anxio-Depressive Symptoms in Healthcare Workers 3 Months Into the COVID-19 Pandemic: An Observational Study

Factors Associated With Burnout, Post-traumatic Stress and Anxio-Depressive Symptoms in Healthcare Workers 3 Months Into the COVID-19 Pandemic: An Observational Study

Improving Healthcare Worker Resilience and Well-Being During COVID-19 Using a Self-Directed E-Learning Intervention

Exploring Large Community‐ and Clinically‐Generated Datasets to Understand Resilience Before and During the COVID‐19 Pandemic

Contact Info

Product

Resources

About