新生儿试验和新生儿重症监护室的知情同意:文献综述
Tiffany Dial1, Toby Yanowitz2, Burhan Mahmood2
1Department of Pediatrics, University of Pittsburgh, School of Medicine.
Current opinion in pediatrics
|January 28, 2026
概括
家长支持新生儿临床研究,当适当地接近时. 清晰的沟通和及时的同意过程对于新生儿重症监护室研究的有效招生至关重要.
科学领域:
- 新生儿护理和临床研究伦理学.
背景情况:
- 新生儿护理的进步需要对可存活的新生儿进行有效的临床试验.
- 在新生儿科进行研究和获得资金面临重大挑战.
研究的目的:
- 审查新生儿临床研究的现状.
- 确定影响父母参与和同意新生儿试验的因素.
- 为应对在新生儿科进行干预研究的挑战.
主要方法:
- 对父母对新生儿临床研究的看法和经验的审查.
- 分析影响同意过程的因素.
- 检查新生儿干预试验中的挑战.
主要成果:
- 在新生儿ICU的新生儿的父母通常支持临床研究.
- 接近的时间和信息的清晰度显著影响父母的感知和同意.
- 家长更喜欢临床团队在引入研究中的作用.
- 创新技术可以增强同意过程.
- 在分娩中同意的母亲需要仔细考虑时间和信息保留.
- 灵活的同意策略可以提高招生效率和多样性.
结论:
- 在新生儿科进行干预性研究面临重大挑战,影响研究公平.
- 当同意是及时,明确,并适当管理时,父母对新生儿研究的支持是很高的.
更多相关视频
04:33Spinal Hernia Repair and Cauda Equina Repositioning After Lumbar Decompression under Three-Dimensional Microscopy: A Case Report and Literature Review
Published on: November 8, 2024
849
09:31Hemodynamic Precision in the Neonatal Intensive Care Unit using Targeted Neonatal Echocardiography
Published on: January 27, 2023
1.5K
相关概念视频
Review and Preview
8.4K
In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
Percentiles are a type of fractile that partition data into...
Percentiles are a type of fractile that partition data into...
8.4K
Review and Preview
11.2K
Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
11.2K
Clinical Trials: Overview
4.9K
Clinical development focuses on how the drug will interact with the human body and encompasses four key phases of clinical trials, each serving a specific purpose in assessing the safety and effectiveness of new drugs. These phases overlap and build upon one another. Phase I involves a small group of healthy volunteers (typically 20-80 individuals) or, in cases where significant toxicity is expected, patients with the targeted disease, such as cancer or AIDS. The volunteers are tested for...
4.9K
Trial and Error and Algorithm
403
A problem-solving strategy is a plan of action used to find a solution. Different strategies have distinct action plans. Trial and error involves trying different solutions until one works. For instance, to fix a broken printer, you might check ink levels, ensure the paper tray isn't jammed, and verify the printer's connection to your laptop. This method can be time-consuming but is commonly used. Thomas Edison, for example, used trial and error to find a suitable filament for the light...
403
Clinical Trials
10.4K
Clinical trials are prospective experimental studies conducted on humans to determine the safety and efficacy of treatments, drugs, diet methods, and medical devices. Using statistics in clinical trials enables researchers to derive reasonable and accurate conclusions from the collected data, allowing them to make wise decisions in uncertain situations. In medical research, statistical methods are crucial for preventing errors and bias.
There are four phases in a clinical trial. A phase one...
There are four phases in a clinical trial. A phase one...
10.4K
Statistical Software for Data Analysis and Clinical Trials
1.5K
Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
1.5K
