用现实数据评估健康干预研究研究质量的评估工具:文献综述和内容分析
Li Jiu1, Michiel Hartog1, Junfeng Wang2
1Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, Netherlands.
BMJ open
|February 14, 2024
概括
这项研究评估了对干预措施的非随机研究 (NRSIs) 的评估工具,发现没有一个工具涵盖了所有质量问题. RTI项目银行和STROBE是全面的,但可以改进.
科学领域:
- 健康研究方法的方法论.
- 基于证据的实践实践.
背景情况:
- 对干预的非随机研究 (NRSIs) 对于证据综合至关重要.
- 评估NRSI的质量对于可靠的研究结果至关重要.
- 现有的评估工具在涵盖NRSI质量领域方面有所不同.
研究的目的:
- 识别和比较NRSIs的评估工具.
- 在项目层面分析这些工具所涵盖的质量标准.
- 为选择合适的工具提供信息,并识别研究缺口.
主要方法:
- 一个文献综述,包括系统搜索,雪球和灰色文献搜索.
- 纳入标准集中在解决NRSI质量的工具上,不包括用于诊断或预后研究的工具.
- 两个独立的研究人员提取和综合了每个工具所涵盖的质量项目数据.
主要成果:
- 分析中包括了49种评估工具.
- 质量问题被分为4个领域和26个项目.
- RTI项目银行和STROBE分别是方法质量和报告的最全面的工具,但没有一个涵盖了所有项目.
结论:
- 没有一个单一的评估工具可以全面解决NRSI的所有质量问题.
- 即使是最全面的工具也有局限性,并且可以得到增强.
- 决策者和研究人员在选择或开发评估工具时应考虑工具的异质性.
相关概念视频
Nursing Evaluation
4.1K
The evaluation stage signals the end of the nursing process. The nurse gathers evaluative data to assess whether or not the patient has attained the expected results. Whereas the nurse collects data in the nursing assessment to identify the patient's health concerns, the evaluation stage data determines if the indicated health issues are resolved. Evaluative data collection includes two sections: the data acquired to evaluate patient outcomes and the time criteria for data collection.
4.1K
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
627
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
627
Study Designs in Epidemiology
1.6K
Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
1.6K
Bias in Epidemiological Studies
1.7K
Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:
1.7K
Statistical Methods for Analyzing Epidemiological Data
1.3K
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
1.3K
Hazard Ratio
756
The hazard ratio (HR) is a widely used measure in clinical trials to compare the risk of events, such as death or disease recurrence, between two groups over time. It reflects the ratio of hazard rates—the instantaneous risk of the event occurring—between a treatment group and a control group. This measure provides valuable insights into the relative effectiveness of a treatment by assessing how the risk of an event differs between the two groups.
For example, in a clinical trial...
For example, in a clinical trial...
756


