仆人式领导与健康公平:考察黑人健康差异的因果比较影响以及美国在首批强制开展隐性偏见培训的州中的情况

Ayanna Alexander-Laine
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摘要

美国的种族健康差距正在扩大。本分析采用非实验性定量因果比较分析来支持研究结果。对黑人和全国变量的比率和百分比进行了比较,以突出具有破坏性和不成比例的黑人健康差距。数据主要集中在一些最早要求医疗保健专业人员参加隐性偏见培训的州的统计数据。所选的健康差异是困扰黑人社区最突出的差异。此外,文章还将研究如何通过实施仆人式领导来改善组织行为,从而帮助改善黑人的健康差异。研究将突出黑人健康差异、隐性偏见、组织行为和仆人式领导。研究表明,通过将组织行为方法转向仆人式领导,医疗保健专业人员能够意识到自己的隐性偏见,从而以合乎道德的方式进行领导。研究还显示,仆人式领导提供了一种更具同情心、关爱、同理心、无私和培育性的护理形式,这将在黑人患者和患者与提供者之间建立信任关系,从而减少因潜意识中的隐性决定而导致的黑人健康差异。研究人员对该方法进行了测试,发现数据提供了变量之间的比较分析,并显示了美国黑人健康差异的普遍性;但是,分析并不能证明因果推论或因果关系。
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Servant Leadership Meets Health Equity: Examining the Causal Comparative Impact of Black Health Disparities and the United States in the First States to Mandate Implicit Bias Training
The racial health disparities gap is widening in the United States. This analysis uses a non-experimental quantitative causal-comparative analysis to support the study's findings. The rates and percentages of Black and National variables were compared to highlight devastating and disproportionate Black health disparities. The data focuses on statistics from some of the first states to require healthcare professionals to take implicit bias training. The health disparities chosen are the most prominent ones plaguing the Black community. Additionally, the article will examine how improving organizational behavior by implementing servant leadership will help improve Black health disparities. The research will highlight Black health disparities, implicit bias, organizational behavior, and servant leadership. The research shows that healthcare professionals become aware of their implicit bias to lead ethically by shifting the organizational behavioral approach toward servant leadership. It also revealed that servant leadership provided a more compassionate, caring, empathetic, selfless, and nurturing form of care that will build trust amongst Black patients and patient-provider relationships, lessening Black health disparities stemming from subconscious implicit decisions. The researcher tested the methodology and found that the data provided a comparative analysis between variables and showed the prevalence of Black health disparities in the United States; however, the analysis did not prove causal inference or cause and effect.
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