使用CARE进行量化:在定量健康研究中应用关键认识论的框架
Oluwatoyin Olukotun1, Yamikani Nkhoma, Tosin Adebayo
1Author Affiliations: School of Nursing, University of Portland, Portland, OR (Dr Olukotun); School of Nursing, University of Wisconsin- Madison, Madison, WI (Ms Nkhoma); Department of Communication Studies, Towson University, Towson, MD (Dr Adebayo); Faculty of Nursing, University of Alberta, Edmonton, Alberta, Canada (Ms Olukotun); and School of Nursing, University of Minnesota, Minneapolis, MN (Drs Mkandawire-Valhmu, Walton).
本研究介绍了CARE模型 (社区问责制,反压迫,反射性,以公平为中心的证据) 以改善定量健康研究. 它帮助研究人员通过将关键理论整合到研究设计和分析中来解决结构性不平等问题.
科学领域:
- 公共卫生 公共卫生
- 健康 公平 研究 健康 公平 研究
- 量化方法 量化方法
背景情况:
- 定量健康研究往往依赖于积极主义假设,可能忽视健康差异的系统原因.
- 需要研究方法来解决健康结果不平等的结构性驱动因素.
研究的目的:
- 引入CARE模型 (以社区问责制,反压迫,反射性,公平为中心的证据).
- 为调整定量研究方法与关键认识论提供框架.
- 引导健康研究的发展,不仅可以识别差异,还可以针对它们的系统起源.
主要方法:
- 该模型整合了关键理论,定性方法和现有的关键定量方法.
- 它提供了关于研究设计,测量,数据编码,统计建模,解释和传播的指导.
- 该模型在整个研究过程中强调社区指导和反射性.
主要成果:
- CARE模型提供了一种系统的方法,用于进行严格的,反思性的和社区引导的定量健康研究.
- 它促进了变量的重构,将结构上下文整合到分析中,并为可操作的干预提供了信息.
- 这一框架使定量研究能够超越记录差异,积极解决维持差异的系统.
结论:
- 凯尔模型提供了一个新的框架,通过结合关键观点来增强定量健康研究.
- 采用CARE模型可以使研究更有效地理解和消除健康不平等.
- 这种方法支持制定有针对性的战略,以解决健康差异的根本原因.
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