由社区组织从业者和学者所持的基于证据的干预措施实施技能的不同概念地图:一个多维缩放比较
Shoba Ramanadhan1, Jennifer L Cruz1, Maggie Weese1
1Department of Social and Behavioral Sciences, Harvard TH Chan School of Public Health, Boston, MA 02115, USA.
Translational behavioral medicine
|November 20, 2024
概括
基于社区的组织 (CBO) 建立基于证据的干预 (EBI) 能力,以减少癌症不平等. 了解从业人员和学者的核心技能是改善EBI实施和健康公平的关键.
科学领域:
- 实施科学 实施科学
- 公共卫生 公共卫生
- 健康 公平 卫生 公平
背景情况:
- 基于社区的组织 (CBO) 对于提供基于证据的干预措施 (EBI) 来解决癌症不平等至关重要.
- 缺乏关于基本技能的共识,阻碍了有效实施EBI的能力建设.
- 在实践者和学者之间存在对EBI和技能的不同观点.
研究的目的:
- 从CBO从业者和学者的角度确定和比较EBI实施的核心技能.
- 通过了解群体之间的技能一致性和差异,为能力建设策略提供信息.
- 通过结合专业知识,促进EBI的利用和解决健康不平等问题.
主要方法:
- 集团概念绘制涉及34名CBO从业者和30名学术界人士,他们有着解决宫癌不平等问题的经验.
- 技能被绘制使用多维缩放和等级集群分析.
- 用Procrustes比较 permutations对特定组的地图进行比较,以评估结构相似性和差异性.
主要成果:
- CBO从业人员确定了六个技能集群,而学者确定了五个,具有统计学上可比较的基础结构,但存在显著的分歧.
- 在诸如"管理资金和外部资源"等技能中发现了很高的一致性.
- 在与适应EBI相关的技能集群中注意到了分歧,实践者专注于"适应EBI",学者专注于"选择和适应EBI".
结论:
- 两个群体的关键技能集群包括社区参与,理解EBI和上下文,调整干预措施,建立伙伴关系,数据利用和资源管理.
- 将从业者以社区为重点的框架与学者以EBI为重点的框架相结合,可以提高EBI的利用率.
- 这种综合方法对于推进癌症治疗和解决更广泛的健康不平等至关重要.
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