Background: Despite the significant role of scientific knowledge pertaining to public health, the discipline of public health remained outside the centre stage within the pandemic discourse. Against this background, we investigated the role of German public health academics during the pandemic in our study, focusing on their orientations and associated values.
Methods: We interviewed 21 public health scholars from Germany and collected 36 documents published by public health scientific societies. We analyzed data by grounded theory and situational mapping.
Results: We identified five types of self-images identified among healthcare academics: the scientific study supplier, the expert facing political issues, the restrained scholar, the public informer and the changemaker. The typology yields insights into the multiple dimensions of public health and its role in times of crisis.
Conclusions: The findings provide implications to inter- and transdisciplinary interaction and to managing the expectations of public health professionals in relation to crisis management.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11197170 | PMC |
http://dx.doi.org/10.1186/s12889-024-19167-5 | 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!