Factors Related to Academic Success Among Nursing Students: A Descriptive Correlational Research Study

Background:The current rise in employment is improving forecasts for the future supply of registered nurses; however sizeable shortages are still projected. With the intention of improving academic success in nursing students, related factors need to be better understood. Objectives: The purpose of the correlational study was to describe the relationship between emotional intelligence, psychological empowerment, resilience, spiritual well-being, and academic success in undergraduate and graduate nursing students. Design/setting: A descriptive correlational design was utilized. The study was set in a private Catholic university. Participants: There were 124 participants. There were 59% undergraduate and 41% graduate students. Methods: Background data, in addition to the Spreitzer Psychological Empowerment Scale, the Wagnild and Young Resilience Scale, and the Spiritual Well-Being Scale and the Mayer –Salovey–Caruso Emotional Intelligence Test, was collected from students who met study criteria. Results: In a combined sample, academic success was correlated with overall spiritual well-being, empowerment and resilience. Although academic success was not correlated with overall emotional intelligence, it was correlated with the emotional intelligence branch four (managing emotions) score.When undergraduate and graduate students were considered separately, only one correlation was found to be significantly related to academic success in the undergraduate sample, namely, emotional intelligence branch one (perceiving emotions). When examining the data from just graduate level nurses, significant relationshipswere found between total emotional intelligence with academic success, resilience with academic success, and psychological empowerment with academic success. Conclusion: The significant relationship between psychological empowerment, resilience, spiritual well-being and academic success in this study supports the statements in the literature that these concepts may play an important role in persistence through the challenges of nursing education. Research is needed to examine if strategies to enhance empowerment, resilience, and spiritual well-being can increase academic success in a test-retest design

Emotional Intelligence and Spiritual Well-Being

Understanding factors that influence spiritual well-being may improve nurses’ spiritual caregiving. This study examined relationships between emotional intelligence (EI) and spiritual well-being (SWB) in undergraduate and graduate nursing students. Using the Mayer–Salovey–Caruso Emotional Intelligence Test (MSCEIT) and the Spiritual Well-Being Scale (SWBS), relationships were found between managing emotion and spiritual well-being, and managing emotion and existential well-being. Implications for education and practice are discussed

Educating Nursing Students Through the Pandemic: The Essentials of Collaboration

Introduction: Throughout the COVID-19 pandemic, meeting regulatory educational requirements and graduating students competent for nursing practice was essential. Competent graduates were needed to support a strong nursing workforce in Connecticut during this chaotic time in health care. This paper describes the powerful impact of statewide collaboration toward meeting this goal. Methods: The Connecticut League for Nursing Council of Deans and Directors (Council) organized six work groups to address the practice issues brought about by COVID-19 to continue educating nursing students and ensure a robust nursing workforce for the state. Volunteers from the Council offered to lead the groups and members joined based on interest. The six work groups were: (1) enhance communication with the Connecticut Board of Examiners for Nursing (BOEN), (2) examine academic progression policies across programs to ensure academic rigor, (3) examine integration of nursing students into professional practice and the provision of support for new graduates, (4) Strategize on transition to practice issues, (5) ensure APRN students meet the required 500 precepted direct client care hours, and (6) examine summer clinical experience options for RN and LPN students. Conclusion: The Council\u27s top priority was to graduate competent nursing students ready for practice. This necessitated the establishment of a framework for ongoing deep, timely discussions among Council members and with the BOEN regarding the new education imperative for creative patient care learning experiences. Through collaborative efforts, the Council was able to enhance robust and timely sharing of strategies, policies, and other guidelines. The Council has partnered with the Connecticut Nurses Association, Connecticut Hospital Association, and the Connecticut Center for Nursing Workforce to provide a strong united nursing voice for executive decision-making and within the political arena in support of the role of nursing students and faculty, and their continuous involvement within direct caregiving environments

How the Practice/Academic Partnership Model Helped One State During COVID-19

During the spring and summer of 2020, boards of nursing (BONs) throughout the U.S. were faced with requests from educational programs for ways to replace clinical hours due to the inability to access clinical sites caused by the COVID-19 pandemic. While many clinical sites have since reopened to nursing students, some barriers still remain, resulting in a backlog of clinical hours for many nursing students throughout the state of Connecticut. Reflecting on lessons learned over the past year, collaboration between the BON and nursing leaders throughout the state has proved essential to providing the practice hours and clinical learning experiences needed to assure that students meet graduation goals and expectations for future clinical practice as an RN

Machine learning algorithms performed no better than regression models for prognostication in traumatic brain injury

Objective: We aimed to explore the added value of common machine learning (ML) algorithms for prediction of outcome for moderate and severe traumatic brain injury. Study Design and Setting: We performed logistic regression (LR), lasso regression, and ridge regression with key baseline predictors in the IMPACT-II database (15 studies, n = 11,022). ML algorithms included support vector machines, random forests, gradient boosting machines, and artificial neural networks and were trained using the same predictors. To assess generalizability of predictions, we performed internal, internal-external, and external validation on the recent CENTER-TBI study (patients with Glasgow Coma Scale <13, n = 1,554). Both calibration (calibration slope/intercept) and discrimination (area under the curve) was quantified. Results: In the IMPACT-II database, 3,332/11,022 (30%) died and 5,233(48%) had unfavorable outcome (Glasgow Outcome Scale less than 4). In the CENTER-TBI study, 348/1,554(29%) died and 651(54%) had unfavorable outcome. Discrimination and calibration varied widely between the studies and less so between the studied algorithms. The mean area under the curve was 0.82 for mortality and 0.77 for unfavorable outcomes in the CENTER-TBI study. Conclusion: ML algorithms may not outperform traditional regression approaches in a low-dimensional setting for outcome prediction after moderate or severe traumatic brain injury. Similar to regression-based prediction models, ML algorithms should be rigorously validated to ensure applicability to new populations

Variation in neurosurgical management of traumatic brain injury

Background: Neurosurgical management of traumatic brain injury (TBI) is challenging, with only low-quality evidence. We aimed to explore differences in neurosurgical strategies for TBI across Europe. Methods: A survey was sent to 68 centers participating in the Collaborative European Neurotrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) study. The questionnaire contained 21 questions, including the decision when to operate (or not) on traumatic acute subdural hematoma (ASDH) and intracerebral hematoma (ICH), and when to perform a decompressive craniectomy (DC) in raised intracranial pressure (ICP). Results: The survey was completed by 68 centers (100%). On average, 10 neurosurgeons work in each trauma center. In all centers, a neurosurgeon was available within 30 min. Forty percent of responders reported a thickness or volume threshold for evacuation of an ASDH. Most responders (78%) decide on a primary DC in evacuating an ASDH during the operation, when swelling is present. For ICH, 3% would perform an evacuation directly to prevent secondary deterioration and 66% only in case of clinical deterioration. Most respondents (91%) reported to consider a DC for refractory high ICP. The reported cut-off ICP for DC in refractory high ICP, however, differed: 60% uses 25 mmHg, 18% 30 mmHg, and 17% 20 mmHg. Treatment strategies varied substantially between regions, specifically for the threshold for ASDH surgery and DC for refractory raised ICP. Also within center variation was present: 31% reported variation within the hospital for inserting an ICP monitor and 43% for evacuating mass lesions. Conclusion: Despite a homogeneous organization, considerable practice variation exists of neurosurgical strategies for TBI in Europe. These results provide an incentive for comparative effectiveness research to determine elements of effective neurosurgical care

Primary versus early secondary referral to a specialized neurotrauma center in patients with moderate/severe traumatic brain injury: a CENTER TBI study

Funder: ZNS - Hannelore Kohl Stiftung; doi: http://dx.doi.org/10.13039/501100007731Funder: Integra LifeSciences CorporationFunder: OneMindAbstract: Background: Prehospital care for patients with traumatic brain injury (TBI) varies with some emergency medical systems recommending direct transport of patients with moderate to severe TBI to hospitals with specialist neurotrauma care (SNCs). The aim of this study is to assess variation in levels of early secondary referral within European SNCs and to compare the outcomes of directly admitted and secondarily transferred patients. Methods: Patients with moderate and severe TBI (Glasgow Coma Scale < 13) from the prospective European CENTER-TBI study were included in this study. All participating hospitals were specialist neuroscience centers. First, adjusted between-country differences were analysed using random effects logistic regression where early secondary referral was the dependent variable, and a random intercept for country was included. Second, the adjusted effect of early secondary referral on survival to hospital discharge and functional outcome [6 months Glasgow Outcome Scale Extended (GOSE)] was estimated using logistic and ordinal mixed effects models, respectively. Results: A total of 1347 moderate/severe TBI patients from 53 SNCs in 18 European countries were included. Of these 1347 patients, 195 (14.5%) were admitted after early secondary referral. Secondarily referred moderate/severe TBI patients presented more often with a CT abnormality: mass lesion (52% vs. 34%), midline shift (54% vs. 36%) and acute subdural hematoma (77% vs. 65%). After adjusting for case-mix, there was a large European variation in early secondary referral, with a median OR of 1.69 between countries. Early secondary referral was not associated with functional outcome (adjusted OR 1.07, 95% CI 0.78–1.69), nor with survival at discharge (1.05, 0.58–1.90). Conclusions: Across Europe, substantial practice variation exists in the proportion of secondarily referred TBI patients at SNCs that is not explained by case mix. Within SNCs early secondary referral does not seem to impact functional outcome and survival after stabilisation in a non-specialised hospital. Future research should identify which patients with TBI truly benefit from direct transportation

Build an instinct for feelings

Reports that nursing students applying to a Scottish university are undergoing emotional intelligence tests as part of the selection process have caused concern

Build an Instinct for Feelings

Reports that nursing students applying to a Scottish university are undergoing emotional intelligence tests as part of the selection process have caused concern. Audrey Beauvais says emotional intelligence training may bring important insights to nurse education and practice

El carbayón diario asturiano de la mañana: Año L Número 16558 - 1928 marzo 4

Falls and the fear of falling are major health concerns among older adults. The purpose of this study was to assess the effects of an evidence-based fall prevention program on the fear of falling and health-related quality of life among community-dwelling elders. The program consisted of 6 classes that covered topics such as risk factors for falls, balance exercises, medications, safe footwear, and home safety. Of those elders who were most fearful at baseline, the fall prevention program decreased their fear of falling and improved 1 dimension of their health-related quality of life