Social engagement, self-efficacy, and posttraumatic stress symptoms across 6 months of psychotherapy

Social cognitive mechanisms in healthcare worker resilience across time during the pandemic

PURPOSE

Healthcare workers are at increased risk for mental health problems during disasters such as the COVID-19 pandemic. Identifying resilience mechanisms can inform development of interventions for this population. The current study examined pathways that may support healthcare worker resilience, specifically testing enabling (social support enabled self-efficacy) and cultivation (self-efficacy cultivating support) models.

METHODS

Healthcare workers (N = 828) in the Rocky Mountain West completed self-report measures at four time points (once per month from April to July of 2020). We estimated structural equation models to explore the potential mediating effects that received social support and coping self-efficacy had (at time 2 and time 3) between traumatic stress symptom severity (at time 1 and time 4). Models included covariates gender, age, minority status, and time lagged co-variations between the proposed mediators (social support and coping self-efficacy).

RESULTS

The full model fit the data well, CFI = .993, SRMR = .027, RMSEA = .036 [90% CIs (0.013, 0.057)]. Tests of sequential mediation supported enabling model dynamics. Specifically, the effects of time 1 traumatic stress severity were mediated through received social support at time 2 and time 3 coping self-efficacy, in sequential order to reduce time 4 traumatic stress severity.

CONCLUSIONS

Findings show the importance of received social support and coping self-efficacy in mitigating psychopathology risk. Interventions can support mental health by focusing on social resource engagement that facilitates coping empowerment, which may decrease risk for mental health job-related problems among frontline healthcare workers exposed to highly stressful events.

An assessment of the mental health of front-line medical staff involved in the COVID-19 outbreak in Chongqing, China

In response to the coronavirus disease 2019 (COVID-19) outbreak in December 2019 in China, medical staff went to work across the country to combat widespread infection. When health workers are suddenly faced with such a serious event, it is important to assess their mental health in order to determine whether they can meet the challenge effectively. Herein, Symptom Checklist-90 (SCL-90) was used to assess the psychological problems of 382 front-line medical staff in Chongqing. The average SCL-90 score was low, and no specific mental health problems were found. With the exception of the phobic-anxiety factor, the scores were close to normal values. A single-factor analysis of variance showed that the SCL-90 scores of male and older staff were higher than those of female and younger staff, implying that they were at greater psychological risk. We found that both gender and age have a significant impact on mental health, and our findings suggest that more attention should be given to the mental health of male and older front-line medical staff.