The purpose of this study was to evaluate the psychometric properties of three questionnaires to measure fatigue with myocardial infarction. The Fatigue Symptom Inventory Interference Scale, Profile of Moods States Fatigue subscale (POMS-F), and Short Form 36 (SF-36) Vitality Scale were completed during hospitalization (n = 116) and 30 days after hospital admission (n = 49). Moderate to strong correlations were found among each of these fatigue scales and between each fatigue scale and measures of other variables to include vigor, depressed mood, anxiety, and physical functioning. POMS-F scores decreased significantly at Time 2, but this decline in fatigue was not validated on the other fatigue scales. Patients’ Time 1 scores reflected significantly more fatigue compared to published scores for healthy adults. The ability to discriminate between groups suggests that the instruments may be useful for identifying patients with cardiovascular risk factors who report clinically significant fatigue.
INTRODUCTION
Fatigue is a symptom of acute myocardial infarction (AMI); however, few studies have characterized the fatigue associated with AMI in men and women.
METHODS
The convenience sample included 88 men and 28 women admitted with a diagnosis of AMI at 6 Midwestern facilities. Data were collected upon hospital admission and 30 days after discharge. A total of 37 men and 10 women responded to the 30-day questionnaires. The Profile of Mood States Fatigue (POMS-F) subscale was used to measure fatigue and the Depression-Dejection subscale to measure depressed mood.
RESULTS
At baseline, significant gender differences were found, with women more likely to have higher POMS-F scores (15.80, SD = 7.33) than men (11.19, SD = 7.04, P = .004). Significant gender differences were also found at 30 days (t = 2.40, df = 45, P = .02). POMS-F scores for women were higher at baseline, with decreased fatigue levels 30 days after discharge (t = 5.36, df = 9, P ≤ .05). No differences were found in POMS-F scores for men (t = 1.26, df = 36, P = .213) between baseline and 30 days after discharge. Fatigue was associated with depressed mood and gender at baseline (R2 = 0.48, P < .05) and 30 days after discharge (R2 = 0.308, P < .05).
CONCLUSIONS
In this sample, fatigue at baseline and at 30 days after discharge was associated with gender and depressed mood. Women reported high levels of fatigue with AMI and lower fatigue after discharge. Men reported moderate to high fatigue levels, which did not change over time. Further research is needed to discern fatigue patterns before and after AMI.
This integrative review explores the question, "What is known about blogging as a pedagogical tool in nursing education?" The qualitative methods of this review are based in social constructivism and collaborative learning principles. Results of a literature search that used inclusion and exclusion criteria identified 15 articles, five of which were related to nursing. Deductive analysis was focused on capturing data under three broad themes that reflect collaborative learning principles with respect to blogging and microblogging. These themes include (a) learning occurs through dialogue and collaboration, (b) learning involves challenging opportunities that stimulate learner engagement, and (c) learning is a social process. Analysis indicates that blogging has the potential to enhance knowledge acquisition, provide stimulating learning opportunities, and recognize the social aspects of learning. However, further research is needed to fully understand the development, implementation, and evaluation of blogging on student knowledge acquisition in nursing education.
A multimodal nursing pedagogy utilizing simulation was incorporated into annual nurse competencies at a 465-bed academic medical center to translate into practice the required surveillance of a potentially septic patient and the necessary clinical decision-making. Pretest/posttest was used to determine knowledge retention from simulation. Nurses’ sepsis knowledge following simulation was improved. Simulation can provide long-term knowledge retention of sepsis for application into clinical practice and be a viable option for competency assessment for professional nurses.
The COVID-19 pandemic required a significant pivot in nursing education, whereby in-person simulations moved to an online format. Kaplan’s i-Human Patients was a virtual simulation platform utilized at a large Midwestern university for student nurses. This online virtual simulation platform helped evaluate students’ clinical knowledge and understanding using the Bloom’s taxonomy framework to scaffold cases. In addition, the five phases of professional development was incorporated to aid faculty instruction.
Background:
Simulation faculty development refers to the education of faculty in preparation and facilitation of simulation-based experiences. A college of nursing with six campuses implemented a simulation work group to ensure consistent simulation faculty development across six campuses.
Method:
The simulation work group was formed in four stages and used the International Nursing Association for Clinical Simulation and Learning Standards as a framework for standardizing simulation. The work group consisted of 14 faculty from five nursing campuses. Members were recruited via email, telephone call, or a simulation newsletter.
Results:
Challenges were identified and addressed. Work group implementation has provided the simulation program with new initiatives and a unified scheduling system, budget, standardized debriefing, and student evaluation method.
Conclusion:
With the greater dependence on simulation as an educational modality, implementation of a simulation work group may enable collaboration and growth across campuses while decreasing the disparity of simulation experiences.
[
J Nurs Educ
. 2021;60(3):165–168.]
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