Objective: To evaluate the utility and difficulty of writing the nursing discharge report perceived by nurses working in the hospitalization unit of the Fuenlabrada Hospital in Spain.
Method: We performed a cross-sectional, descriptive study in all nurses working in hospitalization units in the Fuenlabrada Hospital (Madrid) in the last trimester of 2006. A questionnaire was used to collect sociodemographic variables, variables related to perceived utility of the report in general and variables measuring the difficulty of completing the report. The questionnaires were delivered to the hospitalization units and collected personally. For the statistical analysis, the chi-square test and Student's t-test and/or analysis of variance were used. The SPSS/PC statistical package, version 12.0, was used.
Results: Seventy-four completed questionnaires were obtained (57.4 % of the population analyzed). Of the nurses surveyed, 61 (82.4 %) considered the report to be useful in assuring continuity of care and 57 nurses (77 %) thought it useful in providing information to the patients. In total, 60 nurses (82.1 %) considered the report's structure to be not very suitable or unsuitable.
Conclusions: Nurses' satisfaction with the report is high. The report is seen as effective in assuring continuity of care and as useful to patients. However, the report's structure should be improved.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/s1130-8621(08)70702-2 | DOI Listing |
J Med Case Rep
December 2024
Department of Microbiology, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta, 55281, Indonesia.
Background: Severe acute respiratory syndrome coronavirus 2 was found first in Wuhan and declared a pandemic by the World Health Organization. Coinfection with other respiratory viruses may occur, complicating the diagnosis and treatment of coronavirus disease 2019 . Herein, we identified a Karolinska Institute polyomavirus Stockholm 60 present in a nasopharyngeal swab of a patient with severe acute respiratory syndrome coronavirus 2 infection using next-generation sequencing with an enrichment method.
View Article and Find Full Text PDFBMJ Open
December 2024
Health Services, University of Washington, Seattle, Washington, USA.
Introduction: Ineffective coordination during care transitions from hospitals to skilled nursing facilities (SNFs) costs Medicare US$2.8-US$3.4 billion annually and results in avoidable adverse events.
View Article and Find Full Text PDFHeart Lung
December 2024
Østfold Hospital Trust, Intensive Care Department, Postbox 300, 1714 Grålum, Norway; Østfold University College, Faculty of Health and Welfare, Postbox 700, 1757 Halden, Norway.
Background: Hope is essential for mental health in general and for recovery following severe illness. However, the associations between posttraumatic stress symptoms (PTSS) and hope among intensive care unit (ICU) survivors has not been investigated.
Objectives: To assess hope at 3, 6 and 12 months after ICU admission and examine possible associations between hope and selected demographic data, clinical characteristics, and 3-month PTSS-levels among ICU patients.
Int Emerg Nurs
December 2024
Higher colleagues of technology Higher colleagues of Technology, Faculty of Health Science, Nursing Program, Fujairah, United Arab Emirates.
Background: Long waiting times in emergency departments (EDs) are a major challenge for healthcare systems worldwide. These extended delays can have a profound negative impact on patient quality of life, leading to increased stress, anxiety, and even deterioration in health conditions.
Purpose: identify factors that contribute to low satisfaction levels and long waiting times in EDs in the United Arab Emirates (UAE).
J Perinat Neonatal Nurs
December 2024
Author Affiliations: Faculty of Health Sciences, Department of Nursing, Hasan Kalyoncu University, Gaziantep, Turkey (Dr Coşkun); School of Nursing and Health Sciences, The College of New Jersey, Council of International Neonatal Nurses, Inc, Augusta, Georgia (Dr Kenner); and Yusuf Şerefoğlu Faculty of Health Sciences, Department of Nursing, Kilis 7 Aralik University, Kilis, Turkey (Dr Elmaoğlu).
Objective: This study aims to examine neonatal intensive care unit (NICU) nurses' perceptions of artificial intelligence (AI) technologies, particularly language models, and their impact on nursing practices.
Background: AI is rapidly spreading in healthcare, transforming nursing practice. Understanding the role of AI in NICUs in the discharge process is crucial for understanding nurses' perceptions of these technologies.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!