了解数据驱动的多病症模式中包含的条件:一个范围审查
Luxsena Sukumaran1,2, Alan Winston3, Caroline A Sabin1,2
1Institute for Global Health, University College London, London, UK.
European journal of public health
|October 14, 2023
概括
数据驱动的多病症研究缺乏一致的条件选择标准. 这次审查发现包括条件的显著差异,敦促研究人员为更好的研究可比性和可重复性证明选择.
科学领域:
- 医疗保健服务研究 医疗服务研究
- 计算流行病学计算流行病学
- 生物统计学 生物统计学
背景情况:
- 数据驱动的方法越来越多地用于识别多病态模式.
- 关于在这些分析中包括哪些健康状况,缺乏共识.
- 这种异质性阻碍了多病症研究的可比性和可重复性.
研究的目的:
- 系统地审查包括在研究中的健康状况类型,使用数据驱动技术来识别多病症模式.
- 检查在这些研究中选择条件时使用的标准.
- 突出多样性病态模式识别条件选择中的异质性.
主要方法:
- 在三个主要的电子数据库 (MEDLINE,Web of Science,Scopus) 进行了全面的文献搜索.
- 在2022年2月28日之前,使用预定义的术语和包含/排除标准进行了搜索.
- 参考列表和相关文章的引用也被选.
主要成果:
- 在7326个初始结果中,60篇文章被纳入了审查.
- 一半的研究报告了条件选择的明确标准,人口患病率是最常见的 (40%).
- 神经,肌肉骨,呼吸系统和心理健康状况经常被包括在内,而皮肤,感染和自身免疫状况很少被选择. 九种疾病 (高血压,糖尿病,癌症,关节炎,COPD,喘,抑郁症,中风,骨质疏松症) 是常见的.
结论:
- 在选择多重疾病模式分析的健康状况方面存在显著的异质性.
- 研究人员应该清楚地阐述他们选择条件的理由,以提高研究的可比性和可重复性.
- 建议考虑各种各样的疾病,以准确地反映多病症的复杂性.
更多相关视频
相关概念视频
Factors Affecting Illness
4.2K
When a person's physical, emotional, intellectual, social development or spiritual functioning is compromised, this deviation from a healthy normal state is called illness. Illness creates stress that in turn harms individuals. Irritation, anger, denial, hopelessness, and fear are behavioral and emotional changes an individual experiences in the phases of illness. A variety of factors influence a person's health and well-being.
For instance, risk factors are connected to illness,...
For instance, risk factors are connected to illness,...
4.2K
Methods of Documentation VI: Case Management Model
581
The case management model is a multidisciplinary approach that involves healthcare professionals from diverse disciplines, such as physicians, nurses, therapists, social workers, and pharmacists, working collaboratively to address the various needs of patients. Each healthcare professional brings unique expertise and perspectives, contributing to a more comprehensive understanding of the patient's condition and tailoring treatment plans accordingly.
For example, a patient with a chronic...
For example, a patient with a chronic...
581
Dimensions of Health and Illness
7.4K
The factors influencing the health-illness continuum can be internal or external and may or may not be under conscious control. They are related to the following eight human dimensions, and each dimension is interrelated to one other.
7.4K
Criteria for Causality: Bradford Hill Criteria - II
333
The Bradford Hill criteria serve as guidelines for establishing causative links in epidemiological research. Beyond Strength, Consistency, Specificity, and Temporality, key criteria also include Biological Gradient, Plausibility, Coherence, Experiment, and Analogy. These principles assist scientists in assessing the likelihood of causation in complex biological contexts. Below is a summary of these concepts:
333
Bias in Epidemiological Studies
316
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:
316
Classification of Illness
7.6K
The meaning of illness is individualized to each person who experiences an alteration in health. In contrast, disease is a medical term indicating a pathological change in the structure and function of the body or mind. It is a condition that has specific symptoms and boundaries.
An illness is a response to a disease in which the person's level of functioning is changed compared with a previous level. The general classification of illness includes acute and chronic.
Acute illness is severe...
An illness is a response to a disease in which the person's level of functioning is changed compared with a previous level. The general classification of illness includes acute and chronic.
Acute illness is severe...
7.6K


