Your browser doesn't support javascript.
Show: 20 | 50 | 100
Results 1 - 2 de 2
Filter
Add filters

Main subject
Language
Document Type
Year range
1.
Dissertation Abstracts International: Section B: The Sciences and Engineering ; 83(12-B):No Pagination Specified, 2022.
Article in English | APA PsycInfo | ID: covidwho-2276082

ABSTRACT

Through the use of virtual simulations (VS) in nursing education, nursing students are exposed to a variety of clinical scenarios that may potentially improve their learning of competencies, increase their self-efficacy, and enhance their future clinical performance. Despite limited quantitative research incorporating evidence-based strategies such as prebriefing and debriefing as part of the VS experience, this educational technology continues to gain popularity. In 2020, the use of VS in the nursing curriculum exponentially increased when the global COVID-19 pandemic impacted traditional in-person clinicals, laboratory, and human patient simulation (HPS) experiences. Associate Degree Nursing (ADN) programs have benefited from the use of VS. Among the various types of programs that educate prelicensure nursing students, ADN programs prepare the greatest number of students, educate more culturally and academically diverse students, and are challenged to prepare competent nurse graduates within a short curriculum timeframe. The researcher aimed to explore the effect of the Virtual Simulation Paired Prebriefing-Debriefing (VSPPD) strategy on ADN students' self-efficacy perceptions and VS performance concerning the care of patients experiencing a myocardial infarction (COPE-MI). Guided by the National League for Nursing (NLN) Jeffries Simulation Theory (JST) and principles of Bandura's self-efficacy theory, this quasi-experimental, two-group (intervention group and control group), pretest and post-test educational intervention study examined five research questions: 1) What is the effect of the Virtual Simulation Paired Prebriefing-Debriefing (VSPPD) strategy on Associate Degree Nursing (ADN) students' self-efficacy perceptions concerning the care of patients experiencing an MI? 2) What is the effect of the VSPPD strategy on VS performance scores? 3) What is the correlation between students' self-efficacy perceptions and VS performance scores? 4) What is the influence of selected demographic variables on students' self-efficacy perceptions concerning the care of patients experiencing an MI? 5) What is the influence of selected demographic variables on students' VS performance scores? Implemented with a third-semester, five-credit, advanced medical-surgical nursing course in the ADN curriculum, the VSPPD strategy aimed to positively influence nursing students' self-efficacy for performing cognitive, practical, and affective COPE-MI nursing skills and VS performance scores through students' participation in a paired prebriefing-debriefing and repeated completion of the same VS scenario preceded and followed by structured briefing conversations. The VSPPD strategy was developed by the researcher based on the International Nursing Association for Clinical Simulation and Learning (INACSL) Standards of Best Practice: SimulationSM, constructs of the JST, and the NLN vSim for Nursing Curriculum Integration Guide for Faculty. The effectiveness of this educational strategy was measured by the Care of Patients Experiencing a Myocardial Infarction Self-Efficacy Tool (COPE-MI SET©), the Virtual Simulation Survey (VSS), and students' VS performance scores. Data analysis results for the five research questions support the effectiveness of the VSPPD educational strategy on students' COPE-MI self-efficacy perceptions (in the cognitive, psychomotor, and affective domains) and VS performance scores. Results also support that there is a positive correlation between students' COPE-MI self-efficacy perceptions and VS performance scores. While sample size limitation was a concern, this study also provided evidence that the VSPPD strategy caused positive changes in students' COPE-MI self-efficacy perceptions and VS performance scores regardless of students' age, previous experience with video or computer gaming, or previous healthcare work experience. (PsycInfo Database Record (c) 2022 APA, all rights reserved)

2.
Nurs Open ; 9(2): 1456-1464, 2022 03.
Article in English | MEDLINE | ID: covidwho-1230218

ABSTRACT

AIMS: To investigate the status and influencing factors of illness uncertainty among patients with coronavirus disease 2019 (COVID-19) in the mobile cabin hospital. DESIGN: A cross-sectional study. METHODS: 114 patients with COVID-19 admitted to a mobile cabin hospital in Wuhan, Hubei Province, in February 2020 were enrolled by a convenience sampling method. The Chinese version of the Mishel Illness Uncertainty Scale (MUIS) was used to assess patients' degree of illness uncertainty, and multiple regression analysis was used to explore the influencing factors. RESULTS: The average total score of MUIS (Chinese version) was 52.22 ± 12.51, indicating a moderate level of illness uncertainty. The dimension unpredictability turned out to have the highest mean score: 2.88 ± 0.90. The multiple stepwise regression analysis showed that female (t = 2.462, p = .015), monthly family income not less than RMB 10,000 (t = -2.095, p = .039), and disease duration of 28 days or more (t = 2.249, p = .027) were independent influencing factors of illness uncertainty. CONCLUSION: Patients with COVID-19 are at a moderate level of illness uncertainty. Medical staffs should pay more attention to female patients, patients with lower monthly family income, patients with the prolonged disease, and take targeted interventions to help them reduce illness uncertainty. IMPACT: Facing the brand new and unknown infectious disease, patients confirmed of COVID-19 suffer from immense physical and psychological stress, where illness uncertainty is a major stressor that troubles patients. The present study surveys illness uncertainty among patients with COVID-19 in the mobile cabin hospital with results revealing a moderate level. Study results will benefit nurses in any setting where care for patients with COVID-19 is provided, public policymakers and future researchers.


Subject(s)
COVID-19 , Cross-Sectional Studies , Female , Humans , Mobile Health Units , SARS-CoV-2 , Uncertainty
SELECTION OF CITATIONS
SEARCH DETAIL