Predictors of Early Departure among Recently Hired Child Welfare Workers

Social Work ◽  
2019 ◽  
Vol 64 (3) ◽  
pp. 188-197 ◽  
Author(s):  
Dina J Wilke ◽  
Sarah Rakes ◽  
Karen A Randolph
Keyword(s):  
Child Welfare ◽  
Work Experience ◽  
Child Welfare Workers ◽  
Organizational Influences ◽  
Worker Characteristics ◽  
Organizational Attention ◽  
Workforce Turnover ◽  
Early Departure ◽  
Welfare Workers ◽  
Newly Hired

Abstract Child welfare workforce turnover has been well studied, although there is limited understanding of factors related to the timing of departure. This study examines predictors of early job departure among newly hired child welfare workers. Data come from the first two waves of a longitudinal study. The sample for this analysis included 1,257 respondents. Hierarchical logistical regression was used to investigate worker characteristics and organizational influences on early departure. Early leavers, or those who left within the first six months, were 14.8 percent (n = 186) of the sample. Regression results indicated that two worker characteristics—years of previous work experience and major of college degree—predicted early departure. Two measures of organizational influences during the transition from training to casework were significant predictors of early departure: (1) caseload size the first week after training and (2) role ambiguity. These findings suggest that organizational attention to the orientation and socialization of newly hired child welfare professionals are likely to be instrumental to preventing early turnover.

scholarly journals Self-Efficacy in Newly-Hired Child Welfare Workers

2014 ◽  
Vol 15 (2) ◽  
pp. 318-333 ◽  
Author(s):  
Donna Cherry ◽  
Bruce Dalton ◽  
Angela Dugan
Keyword(s):  
Child Welfare ◽  
Self Efficacy ◽  
The United States ◽  
Retention Rates ◽  
Child Welfare Workers ◽  
Supervisory Support ◽  
Training And Supervision ◽  
Worker Characteristics ◽  
Welfare Workers ◽  
Newly Hired

Child abuse and neglect in the United States resulted in 676,569 reports in 2011 (U.S. Dept. of Health and Human Services, 2012). Workers in this field struggle with low pay, high caseloads, inadequate training and supervision, and risk of violence, all of which contribute to worker burnout and poor worker retention rates. Worker self-efficacy is predictive of worker retention, job performance, and persistence in this difficult field. This paper reports the development of a new measure of self-efficacy from a sample of 395 child welfare workers. Factor analysis revealed two domains of self-efficacy, direct practice and indirect practice, which can be modestly predicted by worker characteristics upon hire and the training program the workers attend. Worker self-efficacy can be used to identify vulnerable workers who may be especially in need of strong supervisory support as well as understand who to target for recruitment. A review of the literature of self-efficacy in child welfare workers is included.

scholarly journals Risk of Future Maltreatment: Examining Whether Worker Characteristics Predict Their Perception

2021 ◽  
pp. 107755952110314
Author(s):  
Kristen Lwin ◽  
Joanne Filippelli ◽  
Barbara Fallon ◽  
Jason King ◽  
Nico Trocmé
Keyword(s):  
Logistic Regression ◽  
Child Welfare ◽  
Secondary Data ◽  
Well Being ◽  
Child Welfare System ◽  
Welfare System ◽  
Child Welfare Workers ◽  
Perception Of Risk ◽  
Worker Characteristics ◽  
Welfare Workers

Child welfare workers aim to promote the well-being and safety of children and are the link between the child welfare system and families. Families served by the child welfare system should expect similar service based on clinical factors, not based on their caseworker’s characteristics. Using secondary data analyses of the most recent Canadian Incidence Study of Reported Child Abuse and Neglect (CIS-2008) and multilevel modeling, this study examines whether child welfare worker characteristics, such as education level and field, age, and experience predict their perception of the risk of future maltreatment. A total of 1729 case-level investigations and 419 child welfare workers were included in this study. Several one-level logistic regression and two-level logistic regression analyses were run. The best-fit model suggests that caseworkers with a Master’s degree, more than 2 years of experience, and more than 18 cases were significantly more likely to perceive risk of future maltreatment. Further, the interaction between degree level and age also significantly predicted the perception of risk of future maltreatment. Results suggest that the perception of risk of future maltreatment may be influenced by caseworker factors, thus service to families may differ based on caseworker characteristics.

Children’s Participation in Decision Making From Child Welfare Workers’ Perspectives: A Systematic Review

2021 ◽  
pp. 104973152098484 ◽  
Author(s):  
Karmen Toros
Keyword(s):  
Systematic Review ◽  
Decision Making ◽  
Child Welfare ◽  
Child Protection ◽  
Child Welfare Workers ◽  
Children’S Participation ◽  
Participation In Decision Making ◽  
Children's Participation ◽  
Meta Analyses ◽  
Welfare Workers

This article explores child welfare workers’ experiences of children’s participation in decision making in the child protection system. The systematic review follows the principles of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement and includes 12 peer-reviewed articles published in academic journals from 2009 to 2019. Findings indicate that children’s participation in decision making is generally limited or nonexistent. The age of the child is an important determining factor concerning whether the child is given the opportunity to participate in decision making. Potential harm for children that may result from participation is considered when deciding on whether to include a child in the decision-making process.

scholarly journals Association between Work-Related Trauma Exposure and Posttraumatic Stress Symptoms among Child Welfare Workers in Japan: A Cross-Sectional Study

2021 ◽  
Vol 18 (7) ◽  
pp. 3541
Author(s):  
Mayumi Kataoka ◽  
Daisuke Nishi
Keyword(s):  
Multivariate Analysis ◽  
Child Welfare ◽  
Traumatic Event ◽  
Traumatic Events ◽  
Child Welfare Workers ◽  
Cumulative Number ◽  
Ptsd Symptoms ◽  
Post Traumatic Stress ◽  
Work Related ◽  
Welfare Workers

Child welfare workers often experience work-related traumatic events and may be at risk of post-traumatic stress disorder (PTSD), which can hinder early interventions for child abuse. This study examined the association between each single work-related traumatic event experienced by child welfare workers and the cumulative number of traumatic event types with PTSD symptoms. A checklist of traumatic events was used to investigate work-related traumatic events. The PTSD checklist for DSM-5 (PCL-5) was used to screen for PTSD symptoms. Two multivariate analyses were performed. A total of 140 workers were included in the analyses. In the first multivariate analysis, the event, “Witnessed a parent violently beating, hitting, kicking, or otherwise injuring a child or the other parent during work” (β = 11.96; 95% CI, 2.11–21.80; p < 0.05) and resilience (β = −0.60; 95% CI, −0.84 to −0.36; p < 0.01) were significantly associated with PTSD symptoms, as was resilience in the second multivariate analysis (β = −0.60; 95%CI, −0.84 to −0.36; p < 0.01). The association between the cumulative number of event types and PTSD symptoms was not significant, but it was stronger when the cumulative number was four or more. The findings suggest the importance of reducing child welfare worker exposure to traumatic events.

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