View clinical trials related to Death.
Filter by:This research is planned to be carried out by using a mixed method that combines quantitative and qualitative approaches to investigate the effect of teaching with augmented reality and the Benner model on the learning of the pediatric end-of-life care module of nursing students. The population of the research will be approximately 140 students who are enrolled in Istanbul Medipol University Faculty of Health Sciences Nursing Department Child Health and Diseases Nursing Course in the Fall Term of the 2023-2024 Academic Year. Since it is aimed to reach the universe in the study, sample selection will not be made. Data collection tools of the research; "Descriptive Characteristics Form", "Pediatric Patient End of Life Care Module Knowledge Test", and "Tanatophobia Scale" will be administered to the control and experimental groups before and after the application. "Child Patient End of Life Care Module Evaluation Guide" and "Semi-Structured Interview Form" will be given to the experimental groups after the application, while the "Augmented Reality Evaluation Form" and the E-Learning Attitude Scale are planned to be administered only to the experimental2 group. A quasi-experimental design with the pretest-posttest control group, one of the quantitative research methods, will be applied. Qualitative data, on the other hand, will be administered to the experimental groups in the form of a focus group interview with a "Semi-Structured Interview Form". In the research, the control group will form the control group of both experiment one and experiment two. After the research, teaching the Child Patient End-of-Life Care module according to Augmented Reality and Benner model, increasing the professional skill performance/academic success level of the students who improve the knowledge and skill levels of the nurse students before they go to the clinical area, orienting the student to learn by experimenting with three-dimensional visual/auditory animations, In a complicated end-of-life situation, it is aimed to increase the stress, motivation and skill competence of the student before the clinical environment to the "expert level at the beginner level", with fast decision making and a realistic education environment.
This clinical study will be conducted with funding from European Innovation Council(EIC) after approval of the fund grant and is part of our organization's European Pathfinder Project(Ref: HORIZON-EIC-2022-PATHFINDERCHALLENGES-01). The clinical study step of this project will be started in a retrospective time prospective manner by gathering the phenotypic(clinical measuring factors) data from patients who underwent ICD implantation therapy. The study will be done as a case-control type in which patients who did not get any shocks in 6 months post-implantation will be allocated to the control group. A customized and highly specific cardiogenomics panel will be designed and ordered to be specially manufactured as a standard kit by Illumina® (San Diego, California, U.S.) following an exhaustive investigation for collecting genetic variants which correlated to cardiovascular development. Mentioned kit bears the standard and validated technology which is part of the genetic tests routine and is being produced by Illumina® incorporate. However, as an option manufacturer is designing custom kits for research purposes by getting the desired variant lists using the same technology. Accordingly, enrolled patients in the study will be prospectively sampled ( Non-Invasive saliva sampling) for getting genetically analysed by Illumina®'s Infinium Assay Microarray platform with fully customized 700,000 single nucleotide polymorphism kits. The result of this sampling will be data and statistically analysed in a genome-wide association study(GWAS) manner by considering the 5x10-8 p.value and will be associated with each phenotypic parameter. Accordingly, the study will assess the genetic risk stratification in ICD patients in a much more detailed fashion. Following this assessment genophenotypic statistical analysed will be done to combine both parameters and generate a formula for scoring the indicator factors based on each odds ratio. Correspondingly, this new scaling formula will be analysed, verified and validated further by a randomized sampling of the population in our study before being stated. Additionally, This study will not only help to improve current genetic polymorphism clinal significant status (pathogenicity and significance of variant) but also can associate new markers with high significance that can be directly used in clinical screening, diagnosis or clinical approaches.
The newborn feels pain and the newborn at the end of life, in the delivery room, is potentially exposed to pain and respiratory distress. Protocols for the management of end-of-life symptoms in the delivery room are used in current practice with very few validation studies. The protocol used in delivery rooms in Alsace uses fentanyl and midazolam intranasally. It has been used for 3 years and seems to provide satisfactory relief to newborn babies. In doing so, it seems to reassure parents about the quality of support and it seems to meet the expectations of professionals in these anxiety-provoking contexts. Scientific validation of these practices would allow wider dissemination to other maternity teams.
This is a multicenter randomised controlled trial to assess whether standardised enteral feeding in newborns with duct dependenty congenital heart disease decreases the risk of necrotising enterocolitis (NEC). The investigators plan to include a total 384 infants. The study will be carried out in three level III hospitals in Poland. The primary end will be NEC and/or death. Secondary end points include weight gain, hospital length of stay, time required to reach full feeding.
The investigators are aimed to develop and externally validate a prediction model of clinical risk factors that quantifies postoperative death after elective surgery. We identify all patients treated with elective surgery, between 2000 and 2020, within the Wuhan Union hospital and all collaborators. The surgical patient cohort will be matched with the National Death database to determine the patient's postoperative death data. 60% patients were randomly selected to the development cohort. Logistic regression analysis for prediction of postoperative death adjusted for different covariates. The model was externally validated in the remaining 40% patients.
The investigators are aimed to develop and externally validate a prediction model of clinical risk factors that quantifies postoperative death after emergency surgery. The investigators identify all patients treated with emergency surgery, between 2000 and 2020, within the Wuhan Union hospital and all collaborators. The surgical patient cohort will be matched with the National Death database to determine the patient's postoperative death data. 60% patients were randomly selected to the development cohort. Logistic regression analysis for prediction of postoperative death adjusted for different covariates. The model was externally validated in the remaining 40% patients.
The investigators are aimed to develop and externally validate a prediction model of clinical risk factors that quantifies postoperative death after prolonged surgery. The investigators identify all patients undergoing prolonged surgery which the operation time >3 h, between 2000 and 2020, within the Wuhan Union hospital and all collaborators. The surgical patient cohort will be matched with the National Death database to determine the patient's postoperative death data. 60% patients were randomly selected to the development cohort. Logistic regression analysis for prediction of postoperative death adjusted for different covariates. The model was externally validated in the remaining 40% patients.
The investigators are aimed to develop and externally validate a prediction model of clinical risk factors that quantifies postoperative death after cardiac and vascular surgery. The investigators identify all patients treated with cardiovascular surgery, between 2000 and 2020, within the Wuhan Union hospital and all collaborators. The surgical patient cohort will be matched with the National Death database to determine the patient's postoperative death data. 60% patients were randomly selected to the development cohort. Logistic regression analysis for prediction of postoperative death adjusted for different covariates. The model was externally validated in the remaining 40% patients.
Latin America is one of the worst-hit areas from the COVID-19 pandemic worldwide. Policy responses to COVID-19 in Latin America have sought to reduce viral spread, increase the capacity of the health system response, mitigate negative consequences, and strengthen governance. Few studies have examined the effectiveness of COVID-19 policies in Latin America or explored subnational variation in their effectiveness. In this observational study, the investigators will use a two-stage interrupted time series to estimate the effectiveness of nonpharmaceutical interventions in third-tier subnational units on SARS-COV2 transmission and COVID-19 mortality in Latin America. The investigators will estimate the effects in each local government, and then run a random-effects meta-analysis to obtain pooled effects for each intervention (and combinations of) and heterogeneity estimates. Finally, the investigators will explore potential explanations for the heterogeneity at the local level.
This study aims to assess brain death and deep coma with the self-made near infrared spectroscopy (NIRS) instrument. The investigators used the noninvasive method to monitor the Δ[HbO2] (the concentration changes in oxy-hemoglobin) and Δ[Hb] (the concentration changes in deoxy-hemoglobin) in the region around the forehead of medically evaluated participating patients and healthy subjects. A multiple-phase protocol at varied fraction of inspired O2 were utilized during the assessment.