Automation of nursing documentation in client records is one of today's formidable challenges in healthcare settings. Some stakeholders view standardized nursing language as a fundamental component of an automated record, with the end goal of generating valid, reliable data on nursing services and client outcomes. However, few successful applications of standardized nursing language for practice standards and data generation exist in the literature. A joint practice-and-data quality project based on standardized nursing language in an automated platform was undertaken by four local public health departments. Outcomes of this project included articulation of standards for nursing practice and creation and implementation of a sound data quality infrastructure for nursing documentation of client assessments, service delivery information, and client outcomes.
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http://dx.doi.org/10.1097/00024665-200605000-00012 | DOI Listing |
Eur J Cardiovasc Nurs
January 2025
Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Level 5, Centre for Translational Medicine, Block MD 6, 14 Medical Drive, Singapore 117599, Singapore.
Aims: Myocardial infarction (MI) can lead to post-traumatic stress disorder (PTSD) which frequently occurs with anxiety and depression, impairing daily functioning and increasing the risk of recurrent cardiovascular events. While psychological interventions have shown promise in reducing anxiety and depression, their effectiveness for PTSD in post-MI patients remains unexplored. This systematic review and meta-analysis aim to evaluate the effectiveness of psychological interventions on PTSD, anxiety, and depression in post-MI patients.
View Article and Find Full Text PDFJAMA Netw Open
January 2025
Faculty of Medicine, Sana'a University, Sana'a, Yemen.
Importance: Rapid digitalization of health care and a dearth of digital health education for medical students and junior physicians worldwide means there is an imperative for more training in this dynamic and evolving field.
Objective: To develop an evidence-informed, consensus-guided, adaptable digital health competencies framework for the design and development of digital health curricula in medical institutions globally.
Evidence Review: A core group was assembled to oversee the development of the Digital Health Competencies in Medical Education (DECODE) framework.
Int J Nurs Knowl
January 2025
Nursing Paulista School, Federal University of São Paulo, São Paulo, Brazil.
Objective: The objective of study was to present evidence of the content validity of conceptual and operational definitions of the "Blood Transfusion Reaction (code 0700)" nursing outcome from the Nursing Outcomes Classification (NOC).
Method: A methodological study was implemented in four phases. The first phase consisted of a narrative literature review in which the main indicators related to blood transfusion were identified: 25 new indicators that were not present in NOC, in addition to 14 existing indicators, for a total of 39 to be studied.
Surg Open Sci
September 2024
Clinical Nursing Research Unit, Aalborg University Hospital, Aalborg, Denmark.
Objective: This study presents the results of a surgical instrument tray optimization process implemented across all surgical specialties within the largest university hospital in Denmark.
Methods: Data was extracted from a comprehensive instrument optimization process including all Operating Rooms at Aarhus University Hospital. Adopting a holistic perspective, the optimization process, involved aligning instrument trays across various surgical specialties.
Asia Pac J Oncol Nurs
December 2025
Department of Nursing, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.
Objective: This study was aimed at investigating the network structures of fatigue symptoms in patients with advanced cancer, with a focus on identifying the central symptom-an aspect crucial for targeted and effective fatigue symptom management.
Methods: In this cross-sectional study, patients with advanced cancer were recruited from the cancer treatment center of a tertiary hospital in China between January and December of 2022. Symptom occurrence and severity were assessed with the Cancer Fatigue Scale.
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