Aim: The aim of the study was to explore nurses' barriers to the pressure ulcer risk assessment scales implementation.
Design: A qualitative descriptive phenomenological study.
Methods: The research participants comprised of 10 nurses at various medical and surgical departments in a teaching hospital northeast of Namibia. Data were collected between August and September 2022 through in-depth, semi-structured face-to-face individual interviews and analysed using Colaizzi's 7-step method.
Results: The interviews with nurses, led to two major themes being discovered: (1) factors hindering the effective prevention of pressure ulcers; (2) suggestions for improvements in the utilization of risk assessment scales. The participants noted that they had inadequate knowledge of the formal risk assessment scales; there were inadequate resources and insufficient staff; there were no policies or guidelines regarding the management of pressure ulcers, all of which influenced their utilization of pressure risk assessment scales. Education and training, the provision of equipment, the hiring of new staff and the formulation of policies/guidelines would thus improve the nurses' utilization of the scales.
Conclusion: The findings of this study have uncovered three primary factors that have a detrimental impact on the utilization of risk assessment scales by nurses, that is their lack knowledge on pressure ulcer risk assessment scales; a shortage of staff and equipment; and an absence of policies/guidelines. The findings from this study provide valuable implications for guiding quality improvement initiatives aimed at enhancing the standard of care in Namibia and other resource-limited settings.
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http://dx.doi.org/10.1002/nop2.2079 | DOI Listing |
Ann Intern Med
January 2025
Durham VA Health Care System, Durham; and Division of General Internal Medicine, Department of Medicine, Duke University School of Medicine, Durham, North Carolina (K.M.G.).
Background: Tissue-based genomic classifiers (GCs) have been developed to improve prostate cancer (PCa) risk assessment and treatment recommendations.
Purpose: To summarize the impact of the Decipher, Oncotype DX Genomic Prostate Score (GPS), and Prolaris GCs on risk stratification and patient-clinician decisions on treatment choice among patients with localized PCa considering first-line treatment.
Data Sources: MEDLINE, EMBASE, and Web of Science published from January 2010 to August 2024.
J Med Internet Res
January 2025
Department of Neurosurgery, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
Background: Delayed cerebral ischemia (DCI) is a primary contributor to death after subarachnoid hemorrhage (SAH), with significant incidence. Therefore, early determination of the risk of DCI is an urgent need. Machine learning (ML) has received much attention in clinical practice.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Department of Basic and Community Nursing, School of Nursing, Nanjing Medical University, NanJing, China.
Background: Telehealth interventions can effectively support caregivers of people with dementia by providing care and improving their health outcomes. However, to successfully translate research into clinical practice, the content and details of the interventions must be sufficiently reported in published papers.
Objective: This study aims to evaluate the completeness of a telehealth intervention reporting in randomized controlled trials (RCTs) conducted for caregivers of people with dementia.
J Clin Psychiatry
January 2025
Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan, Division of Drug Informatics, Keio University Faculty of Pharmacy, Tokyo, Japan.
Although antipsychotics are used commonly for delirium, they increase the risk of mortality in elderly patients and those with dementia. As hydroxyzine has sedative and anxiolytic effects, it can be used in the treatment of delirium. We performed a retrospective study to compare the effects of intravenous hydroxyzine and haloperidol monotherapy on delirium.
View Article and Find Full Text PDFGac Med Mex
January 2025
Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, United Kingdom.
FRAX, a risk calculator that provides individualized 10-year probabilities of hip and major osteoporotic fracture, has been widely used for fracture risk assessment since its launch in 2008. It is now incorporated into very many guidelines worldwide to inform osteoporosis management. In this review, we explore the development of FRAX and how it enhances fracture risk prediction as compared to use of bone mineral density alone, as well as approaches to utilizing FRAX in determining intervention and assessment thresholds.
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