产科种族主义,教育和种族一致性
1Terri L. Major-Kincade is an Associate Professor, Department of Pediatrics, Director, Pediatric Palliative Care Service Memorial Hermann Children's Hospital, University of Texas Health Science Center at Houston, McGovern Medical School, Houston, TX. Dr. Major-Kincade can be reached at Terri.L.MajorKincade@uth.tmc.edu.
MCN. The American journal of maternal child nursing
|December 18, 2023
概括
系统性种族主义,而不是基于种族的医学,推动了黑人妇女的不良产周结果. 解决产科种族主义需要集中黑人妇女的声音和增加劳动力的多样性.
科学领域:
- 公共卫生 公共卫生
- 生殖健康 生殖健康
- 健康 公平 卫生 公平
背景情况:
- 美国人均医疗保健支出最高,但在发达国家中表现最差的围产期结果.
- 与白人女性相比,黑人女性面临的不良分娩结果的风险是白人女性的3-4倍,不论保险或教育等社会经济因素如何.
- 现有的差异凸显了基于种族的医学的谬误,并强调了系统性种族主义在产科种族主义中的基本作用.
研究的目的:
- 承认基于种族的医学的谬误以及系统性种族主义对黑人妇女生殖健康的影响.
- 强调在产妇护理中集中黑人妇女生活经验和声音的重要性.
- 探索拆除系统性障碍和改善有色人种妇女护理的策略.
主要方法:
- 分析系统性种族主义作为产科差异的根本原因.
- 探索种族一致性和文化谦卑作为改善患者接触的工具.
- 对提高有色女性怀孕护理体验的患者驱动指标的审查.
主要成果:
- 系统性种族主义,而不是生物差异,被确定为黑人妇女不良分娩结果的主要驱动因素.
- 种族一致和文化谦卑被提出为创造更安全的医疗保健环境的关键策略.
- 拆除微型和宏观攻击对于克服产妇护理中的系统障碍至关重要.
结论:
- 集中黑人妇女的经验和倡导劳动力多样性对于公平的产妇护理至关重要.
- 解决产科种族主义需要从根本上从基于种族的医学转向理解系统性不平等.
- 实施诸如种族一致性和文化谦卑之类的策略可以减轻不良遭遇,并改善黑人妇女的结果.
相关概念视频
Stereotypes, Prejudice, and Discrimination
90.2K
Humans are very diverse and although we share many similarities, we also have many differences. The social groups we belong to help form our identities (Tajfel, 1974). These differences may be difficult for some people to reconcile, which may lead to prejudice toward people who are different. Prejudice is a negative attitude and feeling toward an individual based solely on one’s membership in a particular social group (Allport, 1954; Brown, 2010). Prejudice is common against people who...
90.2K
Regression Toward the Mean
6.3K
Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
6.3K
Bias in Epidemiological Studies
287
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:
287
Strategies for Assessing and Addressing Confounding
102
Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
102
Types of Records II: Educational and Administrative Records
758
Maintaining nurses' educational and administrative records in healthcare settings, including hospitals and nursing schools, is paramount. Here's a breakdown of the types of academic records mentioned:
758
Confounding in Epidemiological Studies
170
Confounding in statistical epidemiology represents a pivotal challenge, referring to the distortion in the perceived relationship between an exposure and an outcome due to the presence of a third variable, known as a confounder. This variable is associated with both the exposure and the outcome but is not a direct link in their causal chain. Its presence can lead to erroneous interpretations of the exposure's effect, either exaggerating or underestimating the true association. This...
170


