View clinical trials related to Nurse.
Filter by:This study aims to objectively evaluate student nurses' crisis management skills in drug safety simulation and examine an effective intervention to improve these skills through a randomized controlled study. The research aims to provide important findings that will contribute to the determination of strategies to increase the competencies of student nurses in the fields of drug safety and crisis management. Research Hypotheses: H1: The application of drug safety simulation has an effect on the crisis management skill level of nursing students. The aim of the intervention is to develop a simulation program to enhance nursing students' crisis management skills in drug safety. This simulation program will provide students with the opportunity to recognize, assess, and effectively intervene in medication errors in real-world scenarios. The simulation program will include interactive case scenarios, virtual patients, and simulation sessions led by an instructor providing feedback to students. Additionally, learning materials covering topics such as prevention, recognition, and correction of medication errors will be provided
This study aims to evaluate the effects of animated films and story books on the fear and anxiety levels of children with newly diagnosed type 1 diabetes.
The goal of this type of study: quasi-experimental clinical trial . The purpose of this study is to explore the effects of applying mindfulness-based mobile applications program to maintaining mental health of emergency nurses during providing care to COVID-19 patients. The main question[s] it aims to answer are: 1. To explore the effect of mindfulness-based mobile device-assisted program on care stress of emergency nurses caring for COVID-19 patients. 2. To explore the impact of mindfulness-based mobile device-assisted programs on the psychological distress of emergency nurses caring for COVID-19 patients. 3. To explore the impact of a mindfulness-based mobile device-assisted program on compassion fatigue in emergency nurses caring for COVID-19 patients. Participants will Mindfulness-based mobile device is provided to experimental group as assistance for 2 weeks. In the contrary, no intervention measure was assigned in the control group. Scale exam was performed before and after the program in both groups at the same time.
No study has been found in which kinesiology taping, mobilization and breathing exercises were used regarding postoperative pain and postpartum comfort after cesarean section. This study aims to determine the effects of kinesiology taping, mobilization and breathing exercise on post-cesarean section pain and postpartum comfort. The study will be conducted with three groups, two intervention groups and one control group. It has been calculated that a minimum of 33 people in each group and 99 people in total will be sufficient. Anticipating the possibility of data loss in the study, it was planned to include 15% more patients (n = 114). Research Questions Is there a difference in terms of pain between the groups that received kinesiology taping, mobilization training and breathing exercises after cesarean section and those that did not? Is there a difference in postpartum comfort level between the groups that received kinesiology taping, mobilization training and breathing exercises after cesarean section and those that did not? Is there a difference in terms of pain between groups with and without post-cesarean mobilization training and breathing exercise? Is there a difference in postpartum comfort level between groups with and without post-cesarean mobilization training and breathing exercise?
The purpose of this clinical study is to evaluate the effect of using virtual reality glasses on the surgical fear and anxiety levels of patients undergoing open heart surgery on the morning of surgery. The main hypotheses are: 1. The surgical fear level of patients who use virtual reality glasses on the morning of surgery is lower than patients who do not use virtual reality glasses. 2. The anxiety level of patients who use virtual reality glasses on the morning of surgery is lower than patients who do not use virtual reality glasses. Before the surgery, study group patients will be asked to watch videos using virtual reality glasses.
The U.S. registered nurse (RN) workforce is the largest in the Healthcare and Social Assistance Sector and is at high risk for injuries and errors due to poor sleep and fatigue. Shift work (i.e., nights, evenings, rotating shifts) can contribute to RNs not obtaining adequate, restful sleep. Work intensity, including heavy physical and emotional workloads of caring for critically ill patients, can contribute to job stress, resulting in spill-over effects at home when RNs experience difficulties falling and staying asleep. To address work and home sleep barriers, this project proposes the development and pilot testing of RN-SLEEP, a skill-building mobile application designed to improve sleep. RN-SLEEP will provide a convenient, flexible space to learn sleep-enhancing evidence-based shift work-specific strategies, and cognitive-behavioral methods, (e.g., goal setting, relaxation training). Using NIOSH's Research 2 Practice (R2P) approach, the study team will collaborate with participants (N=18-24) from an RN union to refine RN-SLEEP content, integrating current sleep literature (including National Institute for Occupational Safety and Health [NIOSH] material) with cognitive-behavioral based training. RN-SLEEP will be pilot-tested using a two-group pretest-posttest study design, comparing sleep outcome measures (duration, quality) of RN-SLEEP participant users (n=38) with participants from an education control group (n=38). Data trends on fatigue, what drives behavior change (beliefs and self-efficacy), and other sleep outcome measures (timing, regularity, efficiency, daytime sleepiness) will be explored. RN-SLEEP goals align with Healthy People 2030, NIOSH's strategic goal to promote safe and healthy work design and well-being through two NIOSH Healthcare and Social Assistance Sector/Healthy Work Design Cross-Sector (HCSA/HWD) intermediate goals. HWD goal 7.2A is to conduct intervention research addressing fatigue (poor sleep sequela) due to suboptimal work designs (shift work) in the healthcare industry. HCSA/HWD goal 7.12A prioritizes interventions designed to impact work and non-work contributors to safety and health. This RN-SLEEP intervention aims to improve sleep by building skills that help RNs overcome obstacles to sleep from work and home, thus improving health and safety. Immediate outputs include a mobile app, designed and tested in collaboration with RNs, to improve sleep. Study results will be disseminated through our union collaborators, nursing conferences and journal publications, and our University's NIOSH-sponsored Education and Research Center social media outlets. Intermediate outcomes include enhancing RN sleep through training rarely available in nursing schools and traditional hospital health and safety training programs. Improving sleep can reduce fatigue and may decrease occupational injuries and errors. RN-SLEEP is adaptable, where future versions could be modified to meet the needs of other HCSA workers (i.e., nursing aides) and workers in other industries (e.g., oil and gas) scheduled to work non-standard work hours. End outcomes include integrating RN-SLEEP into a broader hospital organization intervention to mitigate fatigue risks.
In processes such as illness, hospital, medical procedures, and nursing interventions, the fears experienced by children should be reduced before the procedure. It may be more effective to give interventions to reduce children's fears in a school setting rather than in a complex environment such as a hospital. In this context, there is a need for experimental studies that reveal the effect of therapeutic play on nursing interventions and fear of medical materials in preschool children.
The aim this crossover designed study is to examine the effect of watching a relaxing video with using virtual reality glasses (VR-G) during the break period of a working shift on the stress levels of surgical nurses. Nurses will be asked to watch a relaxing video with using VR-G for 20 minutes at their break time (the first procedure). After one-week wash-out period, researchers will compare second procedure (no video watch with VR-G) to see if there is any difference on the stress levels of the nurses.
The main goal of this study was to understand the perceptions of nurses who cared for patients with Covid-19 at the onset of the pandemic in Northeast USA. Private interviews were held three times with each participant, over the period of 18 months. The interviews were examined for common themes and expressions used by nurses to describe such topics as their professional image, memories, and advise to other nurses.
The aim of the study was to examine the effect of counselling and follow-up after education on the risks and prevention methods of breast cancer on early diagnosis behaviours and healthy lifestyle behaviours. The population of the study will consist of female administrative staff working at Mersin University. The sample of the study will consist of 160 people. A total of 160 personnel determined by randomisation will be divided into group A (study) and group B (control) formed by the independent researcher in the computer environment. All participants will be given a one-hour training on breast cancer and will be practised with a model as well as a presentation. Group A will be counselled for 6 months after the training and a reminder message will be sent via SMS on Monday every week as "Check your modifiable risk factors for breast cancer" and their feedback will be received. In group B, no additional application will be made except for the training. The data of the study will be collected before and 6 months after the training by using the Descriptive Characteristics Form, Breast Cancer Early Diagnosis Behaviours Form, Counselling Form and Healthy Lifestyle Behaviours Scale II. The data obtained from the study will be analysed in a computer environment. Number, percentage, mean and standard deviation will be used as descriptive statistics in the evaluation of the data.