Other TitlesFacing the COVID-19 Threat
We're Bigger Than The COVID-19 Crisis
How to be Resilient
Resiliency Tool: What's Your Why
Resiliency Tool: Who's in Your Pack
Resiliency Tool: Keep Your Power
What's Your Resiliency Plan
Contain the Crisis
AbstractSeries of eight - 3 minute videos that address how to build resilience with your employees in the workplace during the COVID-19 pandemic.
SponsorsPine Rest Employee Assistance Program
KeywordCoronavirus Disease 2019 (COVID-19)
Employee assistance programs
Identifier to cite or link to this itemhttp://hdl.handle.net/10713/12579
Showing items related by title, author, creator and subject.
Trends in Moral Injury, Distress, and Resilience Factors among Healthcare Workers at the Beginning of the COVID-19 Pandemic.Hines, Stella E; Chin, Katherine H; Glick, Danielle R; Wickwire, Emerson M (MDPI AG, 2021-01-09)The coronavirus severe acute respiratory syndrome (COVID-19) pandemic has placed increased stress on healthcare workers (HCWs). While anxiety and post-traumatic stress have been evaluated in HCWs during previous pandemics, moral injury, a construct historically evaluated in military populations, has not. We hypothesized that the experience of moral injury and psychiatric distress among HCWs would increase over time during the pandemic and vary with resiliency factors. From a convenience sample, we performed an email-based, longitudinal survey of HCWs at a tertiary care hospital between March and July 2020. Surveys measured occupational and resilience factors and psychiatric distress and moral injury, assessed by the Impact of Events Scale-Revised and the Moral Injury Events Scale, respectively. Responses were assessed at baseline, 1-month, and 3-month time points. Moral injury remained stable over three months, while distress declined. A supportive workplace environment was related to lower moral injury whereas a stressful, less supportive environment was associated with increased moral injury. Distress was not affected by any baseline occupational or resiliency factors, though poor sleep at baseline predicted more distress. Overall, our data suggest that attention to improving workplace support and lowering workplace stress may protect HCWs from adverse emotional outcomes. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
Perceived caregiving demands, family resiliency factors, and quality of life outcomes for family caregivers of traumatic brain injury victims during acute hospitalizationLarew, Charles Foster; Picot, Sandra J. (2006)This study was designed to examine predictors of quality of life (QOL) outcomes in family caregivers of traumatic brain injury (TBI) victims and empirically test the Resiliency Model of Family Stress, Adjustment, and Adaptation. A cross-sectional design was utilized. Family members (N=52) completed a worksheet measuring anticipated TBI victim care needs and anticipated caregiver roles. Caregiver demands were measured by the Family Inventory of Life Events (FILE). Resiliency factor indicators included the Family Hardiness Index (FHI), Family Crisis Oriented Personal Evaluation Scale (FCOPES), Family Inventory of Resources for Management (FIRM), Family Problem Solving Communications Index (FPSC). Caregiver QOL was measured with the Family Member Well Being Index (FMWB) and the Ladder of Life (LOL) Current Life Satisfaction tool. Data analysis using the Statistical Package for the Social Sciences included descriptive statistics, relationships among variables, and regression analyses. The majority of caregivers were female (65.4%), parents or spouses (59.6%), with at least an associate degree (51.9%), and co-resided with the TBI victim (57.7%). FILE was related to FHI (r = -.286, p<.05) and FIRM (r = -.508, p<.001). FILE was related to FMWB (r = -.346, p<.05). FHI was related to FCOPES (r = .462, p<.01), FIRM (r = .754, p<.001), and FPSC (r = .565, p<.001). FCOPES was related to FIRM (r = .385, p<.01) and FPSC (r = .422, p<.01). FHI was related to current life satisfaction (r = .277, p<.05). FIRM was related to both FMWB (r = .279, p<.05) and current life satisfaction (r = .375, p<.01). Caregiver well being was best predicted by FILE and LOS [Adjusted R2 .16,F(2,49) = 5.83, p<.01]. Current life satisfaction was best predicted by caregiver educational level, spousal relationship, and FIRM [Adjusted R2 .31, F(3,47) = 8.46, p<.001]. Decreased family demands and shorter hospitalizations were predictive of higher family caregiver well being. Lower educational levels, non-spousal relationships, and increased resources were predictive of higher caregiver current life satisfaction. This study validated the hypothesized relationships of the resiliency model and provided support for future use of this theoretical framework for health care providers working with family caregivers of TBI victims.