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Using qualitative mixed methods to study small health care organizations while maximising trustworthiness and authenticity

机译:使用定性混合方法研究小型医疗机构,同时最大程度地提高可信度和真实性

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Background The primary health care sector delivers the majority of health care in western countries through small, community-based organizations. However, research into these healthcare organizations is limited by the time constraints and pressure facing them, and the concern by staff that research is peripheral to their work. We developed Q-RARA-Qualitative Rapid Appraisal, Rigorous Analysis-to study small, primary health care organizations in a way that is efficient, acceptable to participants and methodologically rigorous. Methods Q-RARA comprises a site visit, semi-structured interviews, structured and unstructured observations, photographs, floor plans, and social scanning data. Data were collected over the course of one day per site and the qualitative analysis was integrated and iterative. Results We found Q-RARA to be acceptable to participants and effective in collecting data on organizational function in multiple sites without disrupting the practice, while maintaining a balance between speed and trustworthiness. Conclusions The Q-RARA approach is capable of providing a richly textured, rigorous understanding of the processes of the primary care practice while also allowing researchers to develop an organizational perspective. For these reasons the approach is recommended for use in small-scale organizations both within and outside the primary health care sector.
机译:背景信息初级卫生保健部门通过小型的社区组织为西方国家提供大部分卫生保健。但是,对这些医疗保健组织的研究受到时间限制和面临的压力的限制,并且工作人员担心研究是其工作的外围条件。我们开发了Q-RARA定性快速评估,严格分析-以有效,参与者可以接受且方法严格的方式研究小型初级医疗保健组织。方法Q-RARA包括现场访问,半结构化访谈,结构化和非结构化观察,照片,平面图和社交扫描数据。每个站点在一天的过程中收集数据,并且定性分析经过整合和迭代。结果我们发现Q-RARA可以为参与者所接受,并且可以在不中断实践的情况下有效地收集多个站点的组织功能数据,同时保持速度和可信度之间的平衡。结论Q-RARA方法能够对初级保健实践的过程提供丰富的纹理,严格的理解,同时还允许研究人员发展组织视角。由于这些原因,建议在初级保健部门内部和外部的小型组织中使用该方法。

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