Background: Local health departments and public health nurses are crucial in surveillance and response during public health emergencies. Simulated exercises are useful to train personnel and test emergency preparedness plans, but these exercises can be inconvenient or unrealistic. To address these drawbacks, "Public Health Investigation" (PHI), a multicounty, electronic infectious disease exercise, was created.
Methods: After the 4-week PHI exercise, 6 separate focus groups and 1 regional focus group were conducted with participating health departments to explore perceptions of whether the format was useful, how to improve future exercises, and how well exercise objectives were met.
Results: Counties reported improvements in all exercise objectives, especially surge capacity and coordination between counties. Small health departments requested state assistance with risk communication. Existing protocols and procedures were reported as helpful. Suggested improvements to the exercise format included a shorter, 3-week exercise, interviews with mock patients, pertinent scene information provided with scene questions, instruction on technology used, and clarifications to the "Rules of the Game."
Conclusions: Participants indicated that the format of the PHI exercise was successful in addressing exercise objectives. Increased regional collaboration may be the greatest strength of an exercise of this format.
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http://dx.doi.org/10.1111/j.1525-1446.2008.00742.x | DOI Listing |
Chemosphere
January 2025
Utrecht University, Utrecht, the Netherlands.
Geriatr Nurs
January 2025
School of Nursing, Fudan University, Shanghai 200032, China. Electronic address:
Objective: To explore the network structure of common geriatric syndromes and conditions in physically disabled older adults.
Methods: We chose fourteen common geriatric syndromes and conditions from the dataset and estimated networks with the partial correlation network method. We tested the stability and accuracy of the network using the package "bootnet" in R software.
Int J Med Inform
January 2025
Rheumatology and Allergy Clinical Epidemiology Research Center and Division of Rheumatology, Allergy, and Immunology, and Mongan Institute, Department of Medicine, Massachusetts General Hospital Boston MA USA. Electronic address:
Background: ANCA-associated vasculitis (AAV) is a rare but serious disease. Traditional case-identification methods using claims data can be time-intensive and may miss important subgroups. We hypothesized that a deep learning model analyzing electronic health records (EHR) can more accurately identify AAV cases.
View Article and Find Full Text PDFJMIR Form Res
January 2025
Department of Epidemiology and Biostatistics, College of Human Medicine, Michigan State University, East Lansing, MI, United States.
Background: Telehealth approaches can address health care access barriers and improve care delivery in resource-limited settings around the globe. Yet, telehealth adoption in Africa has been limited, due in part to an insufficient understanding of effective strategies for implementation.
Objective: This study aimed to conduct a multi-level formative evaluation identifying barriers and facilitators for implementing telehealth among health service providers and patients in Central Uganda.
JMIR Form Res
January 2025
Centre for Patient Reported Outcomes Research, Institute of Applied Health Research, University of Birmingham, Birmingham, United Kingdom.
Background: Traumatic brain injury (TBI) is a significant public health issue and a leading cause of death and disability globally. Advances in clinical care have improved survival rates, leading to a growing population living with long-term effects of TBI, which can impact physical, cognitive, and emotional health. These effects often require continuous management and individualized care.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!