Journal of Neuroscience Nursing最新文献

Abstract: BACKGROUND: A seizure is a sudden, uncontrolled electrical disturbance of the cortical neurons in the brain, which can cause changes in behavior, movements, feelings, and consciousness. Clinical signs and symptoms before, during, and after a seizure can help to determine the seizure onset. The use of standardized clinical testing tools has been reported as being valuable, although also challenging, by some institutions. This study investigated the effectiveness of implementing a new clinical testing tool designed with an emphasis on simplicity for use during and after seizures. METHODS: A pre-and-post evaluation study was conducted from January 2020 to November 2020 in the epilepsy monitoring unit/neurology unit at a hospital in Sydney, Australia. The primary outcome of interest was the incidence of clinical testing during seizures. The secondary outcome of interest was nurse knowledge about clinical testing during a seizure. This knowledge was measured via testing before and after clinical education sessions. The third outcome of interest was nurse confidence regarding the use of the clinical testing tool. The confidence level was measured via posteducation session follow-up surveying. RESULTS: Forty-seven nursing staff (10 neurophysiology nurse technologists and 37 neurology unit nurses) participated in the education program. Forty-four seizures were evaluated. Clinical testing during ictal and postictal periods was performed by nursing staff 82% of the time during 2020, compared with 67% during the 2018 to 2019 preeducation comparison period. This difference was not statistically significant, but it was clinically relevant (P = .07). In addition, the time from seizure alarm to clinical testing improved significantly from a median of 30.5 seconds in 2018 to 2019 to 14 seconds in 2020 (P < .001). CONCLUSION: The tool is easy and convenient for nursing staff to perform clinical examinations accurately during ictal and postictal periods.

Abstract: BACKGROUND: Delirium is a common, often iatrogenically induced syndrome that may impede the physical, cognitive, and psychological recovery of critically ill adults. The effect delirium has on outcomes of intensive care unit patients having acute neurologic injury remains unclear because previous studies frequently exclude this vulnerable population. The aim of this scoping review was to describe the incidence, predictors, and outcomes of delirium among adults admitted to an intensive care unit experiencing an acute ischemic stroke, intracerebral hemorrhage, or aneurysmal subarachnoid hemorrhage. METHODS: PubMed, CINAHL, Web of Science, EMBASE, and Scopus were searched with the terms (1) stroke, (2) critical care, and (3) delirium. Inclusion criteria were original peer-reviewed research reporting the incidence, outcomes, or predictors of delirium after acute stroke among critically ill adults. Editorials, reviews, posters, conference proceedings, abstracts, and studies in which stroke was not the primary reason for admission were excluded. Title and abstract screening, full-text review, and data extraction were performed by 2 authors, with disagreements adjudicated by a third author. RESULTS: The initial search yielded 1051 results. Eighteen studies met eligibility criteria and were included in the review. Stroke type was not mutually exclusive and included persons given a diagnosis of acute ischemic stroke (11), intracerebral hemorrhage (12), aneurysmal subarachnoid hemorrhage (8), and other (1) strokes. Incidence of delirium among stroke patients ranged from 12% to 75%. Predictors of delirium included older age, preexisting dementia, higher severity of illness, and physical restraint use. Outcomes associated with delirium included higher mortality, longer length of stay, worse cognition and quality of life, and lower functional status. CONCLUSIONS: Current findings are limited by heterogenous populations, assessments, and measurement parameters. Detection and management of delirium among critically ill stroke patients requires an approach with specific considerations to the complexities of acute neurological injury and concomitant critical illness.

Abstract: BACKGROUND: Establishing research priorities is essential not only to support evidence-based nursing practice but also to direct research agendas for nursing organizations such as the American Association of Neuroscience Nursing. METHODS: A 6-member Research Agenda Task Force selected potential research priorities based on a literature search of neuroscience nursing research. Using a 2-round, modified Delphi methodology, electronic surveys were distributed to 53 neuroscience nursing experts to gain consensus on the research priorities for neuroscience nursing. Survey data included demographics, agreement with selected gaps in neuroscience nursing research, and impact of selected neuroscience nursing research topics on the field. RESULTS: Twenty-six of 53 experts (49% response rate) participated in round 1, and 30 of 53 experts (57% response rate) participated in round 2. In round 1, the Research Agenda Task Force members revised the list of gaps in neuroscience nursing research to include only the top 39 ranked topics with greater than or equal to 73% agreement, created a new category "Professional Practice Issues," and added 1 additional topic. In round 2, 14 topics were ranked greater than or equal to 70% impactful and identified as the top neuroscience nursing research priorities. CONCLUSION: The results of this study served as an effort for creating research priorities and enhancing research collaboration that focuses on neuroscience nursing. Focusing on gaps in the literature and setting research priorities can ultimately improve patient outcomes. Neuroscience nursing research priorities can be used to inform, guide, and aid nurse scientists, educators, and providers, and to inform agencies that provide research and program funding.

Abstract: BACKGROUND: Biosignal data acquired during quantitative electroencephalography (QEEG) research may ultimately be used to develop algorithms for more accurate detection of delirium. This study investigates the biosignal changes during delirium states by using the QEEG data of patients in a medical intensive care unit. METHODS: This observational study was conducted between September 2018 and December 2019 at a tertiary hospital in South Korea. Delirium was measured using the Korean version of Confusion Assessment Method for the Intensive Care Unit in intensive care unit patients. Quantitative EEG measurements were recorded for 20 minutes in a natural state without external treatment or stimuli, and QEEG data measured in the centroparietal and parietal regions with eyes open were selected for analysis. Power spectrum analysis with a 5-minute epoch was conducted on the selected 65 cases. RESULTS: QEEG changes in the presence of delirium indicated that alpha, beta, gamma, and spectral edge frequency 50% waves showed significantly lower absolute power spectra than the corresponding findings in the absence of delirium. Brain-mapping results showed that these brain waves were inactivated in delirious states. CONCLUSION: QEEG assessments can potentially detect the changes in the centroparietal and parietal regions of delirium patients. QEEG changes, including lower power spectra of alpha, beta, and gamma waves, and spectral edge frequency 50%, can be successfully used to distinguish delirium from the absence of delirium.

Abstract: BACKGROUND: In addition to the available medical treatment options, multiple sclerosis (MS) patients may tend toward complementary and integrative therapies. Relaxation techniques are a nonpharmacological and side-effect-free therapy option currently available to alleviate the symptoms of many different chronic diseases. The aim of this study was to examine and compare the effects of relaxation techniques on the pain, fatigue, and kinesiophobia in MS patients. METHODS: This 3-arm randomized controlled trial consisted of 80 MS patients. Relaxation techniques, progressive muscle relaxation and Benson relaxation technique were applied to 2 intervention groups, the third was the control group. The study lasted 12 weeks, and the patient information form, visual analog scale, Fatigue Severity Scale, and Tampa Scale for Kinesiophobia were used for data collection. RESULTS: There was a statistically significant decrease in pain, fatigue, and kinesiophobia levels in the intervention groups compared with the control group (P < .05). Progressive muscle relaxation was more effective than Benson relaxation technique (P < .05). CONCLUSION: Relaxation techniques are recommended for the management of symptoms of pain, fatigue, and kinesiophobia, which can often cause disability in MS patients, because they have no side effects and are practical administrations. These exercises are also promising in the rehabilitation process of MS patients.

Abstract: BACKGROUND: The American Association of Neuroscience Nurses established a 6-member Research Agenda Task Force in 2019 to identify neuroscience nursing research priorities to lead the field for the next 3 to 5 years. An early step in the process was a literature search to gain an understanding of the current landscape of neuroscience nursing research. METHODS: A search strategy was developed to locate relevant neuroscience nursing research. An experienced medical librarian performed a comprehensive systematic search of multiple databases. Task force members then further refined the search. A separate search was conducted to locate published research by 21 known neuroscience nurse researchers. RESULTS: An initial search located 466 qualitative articles and 1243 quantitative articles, with a further 655 articles published by known neuroscience nurse researchers. All 2364 citations were reviewed by task force members of the working in pairs to screen titles and abstracts for relevance. Nine categories of neuroscience nursing research were identified: quality of life, nursing practice, biomarkers, health promotion, professional development, technology, nursing care outcomes, assessment, and caregivers. Most of the research used descriptive methods, including both quantitative and qualitative methods of inquiry, providing a foundation for more rigorous investigation and interventional research. Research following stroke and the critical care setting were most prevalent. DISCUSSION: New and emerging trends in neuroscience nursing research include the use of technology, biomarkers, lay caregivers, strategies, and tools, including measure development for neurological assessment, and the evaluation of nursing practice including the practice environment and advanced practice nurse providers. Gaps were also evident. CONCLUSION: There is a significant need to expand neuroscience nursing in areas of emerging trends and to use rigorous methods to evaluate nursing practice effects on patient outcomes. The results of this search were used to revise the neuroscience nursing priorities last determined in 2011.

Abstract: BACKGROUND: Mobile stroke units (MSUs) are ambulance-based prehospital stroke care services. Through immediate roadside assessment and onboard brain imaging, MSUs provide faster stroke management with improved patient outcomes. Mobile stroke units have enabled the development of expanded scope of practice for stroke nurses; however, there is limited published evidence about these evolving prehospital acute nursing roles. AIMS: The aim of this study was to explore the expanded scope of practice of nurses working on MSUs by identifying MSUs with onboard nurses; describing the roles and responsibilities, training, and experience of MSU nurses, through a search of the literature; and describing 2 international MSU services incorporating nurses from Memphis, Tennessee, and Melbourne, Australia. METHODS: We searched PubMed, CINAHL, and the Joanna Briggs Institute Evidence-Based Practice database using the terms "mobile stroke unit" and "nurse." Existing MSUs were identified through the PRE-hospital Stroke Treatment Organization to determine models that involved nurses. We describe 2 MSUs involving nurses: one in Memphis and one in Melbourne, led by 2 of our authors. RESULTS: Ninety articles were found describing 15 MSUs; however, staffing details were lacking, and it is unknown how many employ nurses. Nine articles described the role of the nurse, but role specifics, training, and expertise were largely undocumented. The MSU in Memphis, the only unit to be staffed exclusively by onboard nurse practitioners, is supported by a neurologist who consults via telephone. The Melbourne MSU plans to trial a nurse-led telemedicine model in the near future. CONCLUSION: We lack information on how many MSUs employ nurses, and the nurses' scope of practice, training, and expertise. Expert stroke nurse practitioners can safely perform many of the tasks undertaken by the onboard neurologist, making a nurse-led telemedicine model an effective and potentially cost-effective model that should be considered for all MSUs.