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Background: Improved understanding of the lasting ways trauma can impact self-regulatory and relational capacities have increased calls for Trauma-Informed Care (TIC) for child welfare-involved families. Little is known, however, about how the attitudes and characteristics of frontline workers impact the implementation of TIC and job retention. This work fills an important gap in knowledge regarding the relationship between staff relational capacities, the implementation of TIC and staff retention.
Objective: To understand the relationship between staff characteristics, endorsement of TIC and intent to turnover.
Participants And Setting: Three child and family serving agencies surveyed 271 staff from a populous Northeastern state.
Methods: Regression analyses were used to examine the relationship between staff characteristics, Attitudes Related to Trauma Informed Care (ARTIC) score, and intent to turnover.
Results: Higher levels of staff rejection sensitivity was associated with lower endorsement of Principles of Trauma-Informed Care (p < .05). Lower staff alignment with principles of TIC was associated with higher levels of intention to turnover and leave their organization (p < .05).
Conclusion: Staff histories of relational loss and trauma may impact both workforce buy-in and readiness to implement TIC. Therefore, identifying staff sensitivity to rejection in the hiring process or after hire, and providing specific supports, such as reflective supervision, may enhance both service delivery and staff experiences' of their work. Additionally, using the ARTIC scale in the hiring process may also reduce staff turnover and burnout. Attending to staff relational characteristics is a critical component of promoting worker resilience.
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http://dx.doi.org/10.1016/j.chiabu.2020.104536 | DOI Listing |
Community Ment Health J
September 2025
The University of Queensland, Herston, Australia.
Engaging residents with the support available at community-based residential mental health rehabilitation facilities is an ongoing challenge for health services. This study explored factors associated with residential rehabilitation engagement across Queensland, Australia through regression modelling of cross-sectional data from a statewide benchmarking activity completed in 2023 (n = 208). The Residential Rehabilitation Engagement Scale (RRES) assessed each resident's rehabilitation engagement.
View Article and Find Full Text PDFBackground: Hemoglobin A1c (HbA1c) is a stable compound, which is an important indicator for diagnosing glycemia, evaluating blood glucose control in patients with diabetes, and guiding the formulation of treatment plans. However, the detection of HbA1c is easily affected by many factors, resulting in a false increase or decrease, which affects the accuracy of test results.
Methods: In this paper, two abnormal HbA1c results were detected in the laboratory, which did not match the blood glucose detected at the same time.
Neurohospitalist
September 2025
Department of Neurology, Massachusetts General Hospital, Boston, MA, USA.
Background And Purpose: Informed consent (IC) practices for endovascular thrombectomy (EVT) in acute stroke are not well elucidated. We investigated the roles and specialties of those obtaining EVT IC, aiming to provide insights for enhancing the process.
Methods: We conducted a survey from July- December 2023 among acute stroke care clinicians.
BMJ Public Health
September 2025
Affiliated to Wenzhou Medical University, Evidence-Based Medicine Center, Taizhou Hospital of Zhejiang Province, Linhai, China.
Objective: The aim of this study is to analyse the factors affecting medical burnout in hospitals, identify the characteristics of staff experiencing high levels of burnout and devise a practical and sustainable prediction mechanism.
Methods: A survey was conducted to access the current situation, followed by a regression analysis using data from the Maslach Burnout Inventory General Survey, demographic information related to healthcare personnel and employee job satisfaction metrics from the hospitals under study. Subsequently, four predictive models-logistic regression, K-nearest neighbour, decision tree and random forest (RF)-were employed to predict the degree of healthcare burnout.
Appl Nurs Res
October 2025
School of Nursing, The Hong Kong Polytechnic University, Kowloon, Hong Kong. Electronic address:
Background: Workplace incivility experienced by nurses has a substantial impact on job withdrawal, psychological resilience and organizational commitment also show certain associations with both incivility and work withdrawal. However, the specific mechanisms underlying these factors remain unclear.
Aim: This study aimed to identify the relationship between workplace incivility and job withdrawal and the chain mediating effects of psychological resilience and organizational commitment.