One of the hallmarks of the communication revolution over the past decade has been its support for participation, whether that be in the active engagement of patients searching the Web for answers to vital health questions, or in the collective energies of self-organizing communities through social media. At the same time, some of the major obstacles to achieving a full and equitable reach of evidence-based cancer control knowledge have been traced back to discontinuities in communication either within clinical care or the broader public awareness system. Communication scientists from the National Cancer Institute, the Centers for Disease Control and Prevention, and the American Cancer Society joined forces in 2010 to investigate ways in which communication science can be used to improve coordination and enhance participation in cancer control for the nation. From 2010 to 2013, the three organizations worked together in 1) convening two meetings designed to assess the status of funded research in communication science, 2) completing a systematic review of literature published over the previous 10 years, and 3) authoring a blueprint for coordinated efforts using the implications of communication science. The blueprint consists of three major goals: first, to identify high-yield targets of opportunity using the health impact pyramid articulated by Centers for Disease Control and Prevention Director, Thomas Frieden; second, to leverage opportunities within the new communication environment, including the opportunities catalyzed by national efforts to create an infrastructure for evidence implementation through health information technology; and third, to assist in coordinating efforts across collaborative entities through participative media.
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http://dx.doi.org/10.1093/jncimonographs/lgt024 | DOI Listing |
Neurol Res Pract
January 2025
Institute of Clinical Epidemiology and Biometry, Julius-Maximilians-Universität Würzburg (JMU), Haus D7, Josef-Schneider-Straße 2, 97080, Würzburg, Germany.
Background: Comprehensive clinical data regarding factors influencing the individual disease course of patients with movement disorders treated with deep brain stimulation might help to better understand disease progression and to develop individualized treatment approaches.
Methods: The clinical core data set was developed by a multidisciplinary working group within the German transregional collaborative research network ReTune. The development followed standardized methodology comprising review of available evidence, a consensus process and performance of the first phase of the study.
BMC Health Serv Res
January 2025
Institute of Health and Care Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Introduction: The COVID-19 pandemic forced leaders and employees in health care services to take difficult decisions to manage risks associated with employee health and the organizations' functioning. This study aims to identify the changes in employee working routines, job demands, and job resources within Swedish maternal healthcare during the COVID-19 pandemic, and how these changes affected workload and health.
Methods: Data were derived from the longitudinal COPE Staff study involving midwives and physicians within maternal healthcare.
BMC Palliat Care
January 2025
Departments of Emergency and Critical Care Medicine, Graduate School of Medicine, Nippon Medical School, Tokyo, Japan.
Background: Families of critically ill patients in the intensive care unit (ICU) need a variety of information about the patient. Meeting these information needs improves the quality of communication between the family and ICU staff, as well as reduces the risk of post-intensive care syndrome-family (PICS-F). However, information needs continue to be unmet, and information regarding which specific information needs are met or unmet is insufficient.
View Article and Find Full Text PDFJMIR Mhealth Uhealth
January 2025
HIV Unit, Hospital Civil de Guadalajara, Hospital 278, Guadalajara, 44280, Mexico, 52 3338093219.
Background: HIV continues to be a public health concern in Mexico and Latin America due to an increase in new infections, despite a decrease being observed globally. Treatment adherence is a pillar for achieving viral suppression. It prevents the spread of the disease at a community level and improves the quality and survival of people living with HIV.
View Article and Find Full Text PDFJ Imaging Inform Med
January 2025
Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, U.S. Food and Drug Administration, 10903 New Hampshire Ave, Silver Spring, MD, 20993, USA.
Continuous and consistent access to quality medical imaging data stimulates innovations in artificial intelligence (AI) technologies for patient care. Breakthrough innovations in data-driven AI technologies are founded on seamless communication between data providers, data managers, data users and regulators or other evaluators to determine the standards for quality data. However, the complexity in imaging data quality and heterogeneous nature of AI-enabled medical devices and their intended uses presents several challenges limiting the clinical translation of novel AI technologies.
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