Social workers have engaged in promotive, preventive, and intervention work throughout the COVID-19 pandemic. Given that social workers are disproportionately women, and the essential nature of practice during the pandemic, how social workers experience caretaking and financial stressors warrants examination. Data are drawn from a larger cross-sectional survey of U.S.-based social workers (N = 3,118) conducted from June to August 2020. A convergent mixed-methods design included thematic content analysis and univariate, ordinal, and linear regression models. The sample was 90 percent female; average age was 46.4 years. Although 44 percent indicated moderate or significant caretaking stress, results varied by race/ethnicity, workplace setting, and age. Social workers of color were more likely to report caretaking (p < .001) and financial stress (p < .001) compared with White counterparts. Social workers in children/family services were more likely to report increased financial stress (p < .004). Older age was protective for both caretaking (p < .001) and financial stress (p < .001). Three distinct subthemes were found in caretaking stress (work/life balance, safety concerns, and positionality) and two in financial stress (uncertainty and absence of workplace recognition). Understanding workforce stressors may help organizations and policymakers better support an essential workforce integral to the United States' COVID-19 response and recovery.
The crisis created by the spread of COVID-19 brought increasing needs and referrals to social welfare services in many countries. However, at the same time, social services suffered from staff cutbacks and service closures, resulting in significant workload increases to address the hardships associated with the pandemic. This article investigates the impact of the COVID-19 pandemic on Israeli social workers' well-being, using a mixed-methods design with a sample of 2,542 licensed social workers. Findings show that over 70 percent of social workers suffered from at least one health problem related to their work. Path analysis findings indicated that social workers who experienced greater service restrictions reported a greater decrease in job satisfaction and experienced higher levels of stress and work-related problems. Machine learning emotion-detection analysis revealed that the pandemic affected their lives, causing feelings of fear, frustration, and sadness. This article demonstrates how social workers whose work was characterized by greater service restrictions were less satisfied with their jobs, more stressed, and experienced greater job-related health problems, and concludes with a discussion of the implications for social work practice in times of crisis.
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