Background: Patients' recall of memories from the ICU plays an important role in the occurrence of post-traumatic stress disorder. This study aimed to determine the effect of nurse-initiated diary intervention on post-traumatic stress disorder and recall of memories in ICU survivors.
Methods: This RCT study included all patients admitted to two trauma ICUs in Southeast of Iran. Thirty patients considered in control and intervention groups. Data collection tools included the Impact of Events Scale-Revised (IES-R), and the ICU Memory Tool (ICU-MT). The researcher wrote daily diaries of the intervention and control groups during the first 72 h of their admissions. SPSS25 was used to analyze the data.
Results: The total mean PTSD score in the intervention group was significantly lower than that in the control group (p > 0.0001, z = -3.75). The number of those in the intervention group who clearly recalled their admission to hospital, their hospital stay before being admitted to the ICU and all memories from the ICU stay, was more than those in the control group; this difference was statistically significant (p > 0.0001).
Conclusion: The results showed that the nurse-initiated diary was effective on the PTSD and recall clear memories of patients admitted to the ICU. We suggest medical and educational centers to use this intervention in order to reduce the posttraumatic stress disorder in these patients. As nurse-initiated diary intervention had no significant difference in the recall of different types of memories from the ICU, we require further studies in this field.
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http://dx.doi.org/10.1186/s12888-024-05581-x | DOI Listing |
Introduction: Delirium is a common acute cognitive impairment characterised by confusion, disorientation and attention deficits, particularly prevalent in intensive care unit (ICU) settings. Given its significant impact on patients, caregivers and healthcare resources, preventing delirium in patients in the ICU is of paramount importance. This is the first randomised-controlled trial designed to evaluate the effects of a virtual reality-based sensory stimulation intervention on preventing delirium in ICU patients.
View Article and Find Full Text PDFJ Perioper Pract
January 2025
Department of Nursing, Nippon Kokan Hospital, Kanagawa, Japan.
Intensive care unit patients often experience memory disturbances, including missing or delusional memories. These memory distortions can contribute to the development of psychiatric disorders, such as anxiety and depression. In addition, distorted memories may adversely affect long-term quality of life.
View Article and Find Full Text PDFBMC Prim Care
January 2025
Institute of General Practice and Family Medicine, University Hospital, LMU Munich, Munich, Germany.
Background: Approximately 20-25% of patients who survive medical treatment at an intensive care unit (ICU) develop post-traumatic stress symptoms. There is currently a gap in follow-up care for them. As part of the PICTURE study, general practitioners (GPs) carried out a brief interview-based intervention.
View Article and Find Full Text PDFCrit Care Explor
January 2025
Department of Critical Care Medicine, Alberta Health Services, AB, Canada.
Importance: Nursing workforce changes, knowledge translation gaps, and environmental/organizational barriers may impact sepsis recognition and management within the ICU.
Objectives: To: 1) evaluate current ICU nursing knowledge of sepsis recognition and management, 2) explore individual and environmental or organizational factors impacting nursing recognition and management of sepsis using the Theoretical Domains Framework (TDF), and 3) describe perceived barriers and facilitators to nursing recognition and management of patients with sepsis.
Design, Setting, And Participants: This cross-sectional survey was administered to nurses working in four general system ICUs between October 24, 2023, and January 30, 2024.
Comput Biol Med
January 2025
INESC TEC - Institute for Systems and Computer Engineering, Technology and Science, Porto, Portugal; FCTUC - Faculty of Sciences and Technology of the University of Coimbra, Coimbra, Portugal. Electronic address:
Traumatic Brain Injury (TBI) is a form of brain injury caused by external forces, resulting in temporary or permanent impairment of brain function. Despite advancements in healthcare, TBI mortality rates can reach 30%-40% in severe cases. This study aims to assist clinical decision-making and enhance patient care for TBI-related complications by employing Artificial Intelligence (AI) methods and data-driven approaches to predict decompensation.
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