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A standardized set of measures to assess functioning after trauma in humanitarian settings has been called for. The Activity Independence Measure for Trauma (AIM-T) is a clinician-rated measure of independence in 20 daily activities among patients after trauma. Designed in Afghanistan, it has since been used in other contexts. Before recommending the AIM-T for wider use, its measurement properties required confirmation. This study aims at item reduction followed by content validity assessment of the AIM-T. Using a two-step revision process, first, routinely collected data from 635 patients at five facilities managing patients after trauma in Haiti, Burundi, Yemen, and Iraq were used for item reduction. This was performed by analyzing inter-item redundancy and distribution of the first version of the AIM-T (AIM-T1) item scores, resulting in a shortened version (AIM-T2). Second, content validity of the AIM-T2 was assessed by item content validity indices (I-CVI, 0-1) based on structured interviews with 23 health care professionals and 60 patients in Haiti, Burundi, and Iraq. Through the analyses, nine pairs of redundant items (r≥0.90) were identified in the AIM-T1, leading to the removal of nine items, and resulting in AIM-T2. All remaining items were judged highly relevant, appropriate, clear, feasible and representative by most of participants (I-CVI>0.5). Ten items with I-CVI 0.5-0.85 were revised to improve their cultural relevance or appropriateness and one item was added, resulting in the AIM-T3. In conclusion, the proposed 12-item AIM-T3 is overall relevant, clear, and representative of independence in daily activity after trauma and it includes items appropriate and feasible to be observed by clinicians across different humanitarian settings. While some additional measurement properties remain to be evaluated, the present version already has the potential to serve as a routine measure to assess patients after trauma in humanitarian settings., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2022 Gohy et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

In the midst of the Spring 2020 initial surge of the COVID-19 pandemic in New York, members of the Psychiatry Department of Weill Cornell Medicine/NewYork-Presbyterian Hospital rapidly created and implemented a brief, behavioral skills-based intervention program, "CopeNYP", to address the immediate mental health needs of the employees of the hospital and medical school. We describe the development, implementation and evolution of this telehealth-delivered program staffed primarily by in-house clinical psychologists, postdoctoral fellows, pre-doctoral interns and counselors who were redeployed or volunteered their time to provide urgent support for employees. We discuss the challenges and lessons learned in providing brief, skills-based psychological interventions for employees subjected to chronic stress. As the impact of the pandemic became prolonged, employees faced compounding stressors including social isolation, fear of infection, grief and loss, and sequelae of COVID-19-related illness combined with work-related demands. Our goal is to present our program design, implementation, and utilization as a blueprint for other institutions that would like to develop an evidence-based clinician-staffed psychological intervention program to support ongoing employee mental health needs., (Copyright © 2021 Elsevier Inc. All rights reserved.)

Introduction: Delays in arrival and treatment at health facilities lead to negative health outcomes. Individual and external factors could be associated with these delays. This study aimed to assess common factors associated with arrival and treatment delays in the emergency departments (ED) of three hospitals in humanitarian settings., Methodology: This was a cross-sectional study based on routine data collected from three MSF-supported hospitals in Afghanistan, Haiti and Sierra Leone. We calculated the proportion of consultations with delay in arrival (>24 hours) and in treatment (based on target time according to triage categories). We used a multinomial logistic regression model (MLR) to analyse the association between age, sex, hospital and diagnosis (trauma and non-trauma) with these delays., Results: We included 95,025 consultations. Males represented 65.2%, Delay in arrival was present in 27.8% of cases and delay in treatment in 27.2%. The MLR showed higher risk of delay in arrival for females (OR 1.2, 95% CI 1.2-1.3), children <5 (OR 1.4, 95% CI 1.4-1.5), patients attending to Gondama (OR 30.0, 95% CI 25.6-35.3) and non-trauma cases (OR 4.7, 95% CI 4.4-4.8). A higher risk of delay in treatment was observed for females (OR 1.1, 95% CI 1.0-1.1), children <5 (OR 2.0, 95% CI 1.9-2.1), patients attending to Martissant (OR 14.6, 95% CI 13.9-15.4) and non-trauma cases (OR 1.6, 95% CI 1.5-1.7)., Conclusions: Women, children <5 and non-trauma cases suffered most from delays. These delays could relate to educational and cultural barriers, and severity perception of the disease. Treatment delay could be due to insufficient resources with consequent overcrowding, and severity perception from medical staff for non-trauma patients. Extended community outreach, health promotion and support to community health workers could improve emergency care in humanitarian settings., Competing Interests: The authors have declared that no competing interests exist.