在JBI定性系统审查中解决公平,多样性和包容性问题:一个方法论范围审查
Catrin Evans1, Zeinab M Hassanein1,2, Manpreet Bains3
1The Nottingham Centre for Evidence-based Healthcare: A JBI Centre of Excellence, School of Health Sciences, University of Nottingham, Nottingham, UK.
JBI evidence synthesis
|September 3, 2024
概括
质量系统审查往往没有关注公平,多样性和包容性 (EDI). 本综述提出了在定性证据综合中更好地嵌入EDI的方法,以避免延续不平等.
科学领域:
- 卫生科学 卫生科学 卫生科学
- 社会科学 社会科学 社会科学
- 证据综合 证据综合
背景情况:
- 促进健康公平需要将公平,多样性和包容 (EDI) 整合到证据综合中.
- 目前对EDI进行审查的指导主要针对定量研究,在定性证据综合方面存在差距.
- 目前对定性审查团队如何处理EDI的理解有限.
研究的目的:
- 调查定性审查团队在进行和报告定性系统性审查时如何处理公平,多样性和包容性 (EDI).
- 确定在JBI指导的定性证据综合中嵌入EDI的当前做法和局限性.
主要方法:
- 2022年出版的英语语言定性系统审查的方法范围审查,遵守JBI指南.
- 在MEDLINE和CINAHL数据库中进行的搜索.
- 数据提取侧重于EDI特征,搜索策略和分析方法 (反射性,交叉性,知识用户参与),以描述和叙述的方式分析.
主要成果:
- 在43个审查中,大多数 (n=30) 缺乏EDI特定框架;只有6个以EDI问题为基础的人口重点.
- 主要研究中的社会人口统计数据报告不足,阻碍了EDI分析.
- 很少有评论结合了交叉性 (n=10) 或讨论了审查团队组成/反射性 (n=8);只有1个包括知识用户.
结论:
- 目前的定性证据综合实践表明,系统地解决EDI的问题存在局限性.
- 如果不整合EDI,可能会加剧现有的不平等现象和占主导地位的知识要求.
- 提供了建议,以帮助定性审查团队更有效地将EDI嵌入其方法和实践中.
相关概念视频
Bias
3.9K
Bias refers to any tendency that prevents a question from being considered unprejudiced. In research, bias occurs when one outcome or answer is selected or encouraged over others in sampling or testing. Bias can occur during any research phase, including study design, data collection, analysis, and publication.
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...
3.9K
Humanistic Psychology
1.1K
Humanistic psychology emerged in the mid-20th century as a response to the deterministic and pessimistic nature of behaviorism and psychoanalysis. While behaviorism focused on observable behaviors influenced by the environment and psychoanalysis delved into unconscious motivations, both theories suggested that human actions lacked free will. In contrast, humanistic psychology offers a perspective that emphasizes the innate potential for goodness and growth within every individual.
This approach...
This approach...
1.1K
Stereotype Content Model
14.0K
The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
14.0K
Ethics in Research
22.9K
Today, scientists agree that good research is ethical in nature and is guided by a basic respect for human dignity and safety. However, this has not always been the case. Modern researchers must demonstrate that the research they perform is ethically sound.
22.9K
Criticisms of the Evolutionary Perspective
92
In a study where individuals posing as strangers offered compliments and proposed casual sex to students, the responses differed significantly based on gender. Not a single woman accepted the proposal, while 70% of the men agreed. This outcome provides a useful scenario to explore through the lens of evolutionary psychology and social learning theory, highlighting the diverse perspectives on human sexual behaviors.
Evolutionary psychology provides one explanation for these findings, suggesting...
Evolutionary psychology provides one explanation for these findings, suggesting...
92
Bias in Epidemiological Studies
180
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:
180


