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Mixed methods embedded design in medical education, mental health and health services research: A methodological analysis.

机译:混合方法嵌入设计在医学教育,心理健康和保健服务研究中的应用:方法论分析。

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摘要

Quantitative methods aimed at producing generalizable results have long dominated the health sciences, while the essence of qualitative research is to explore and understand complex dynamic phenomena. This study examines the ways mixed methods embedded designs have been applied to intervention studies across three specific areas in health science and, based on this examination, seeks to develop a general methodological template for researchers interested in using embedded designs.;I chose a multiple case study approach to qualitative inquiry to gain in-depth knowledge of the status of mixed methods embedded design applications in health interventions. I obtained collective case study data from mixed methods embedded design articles published during the last 10 years and one-on-one interviews with a purposeful sample of six mixed methods researchers across three areas in health science: health services research, mental health, and medical education.;Across these three areas in health science, the common reasons to incorporate qualitative research into intervention studies were to add depth, detail, and meaning to empirical findings; to describe the implementation process; to help develop the evaluation plan; and to test and inform the intervention. This study concludes that more rigorous designs and more widespread use of mixed methods are needed to capture the complexity of intervention programs in health science. New methods for implementation research and evidence-based practice need to be explored, and valid qualitative and mixed methods should be developed to enhance the implementation process and improve the effectiveness of health intervention programs. Implementation research moves qualitative methods to a more central place in the research design process. Methodologists might consider adopting a new phrase—"embedded mixed methods implementation research"—to describe what the future holds for health intervention studies. Combining a mixed methods framework with discipline-specific models allows for the development of a comprehensive yet practical methodological template.
机译:长期以来,旨在产生可概括结果的定量方法一直主导着健康科学,而定性研究的实质是探索和理解复杂的动态现象。这项研究探讨了将混合方法的嵌入式设计应用于健康科学三个特定领域的干预研究的方式,并基于此检查,力求为有兴趣使用嵌入式设计的研究人员开发通用的方法模板。定性询问的研究方法,以深入了解混合方法在卫生干预措施中嵌入式设计应用程序的状态。我从过去10年间发表的混合方法嵌入式设计文章以及一对一的访谈中收集了案例研究的集体数据,这些样本来自健康科学三个领域(卫生服务研究,心理健康和医学)的六个混合方法研究人员的有针对性样本。在健康科学的这三个领域中,将定性研究纳入干预研究的共同原因是为经验发现增加深度,细节和意义。描述实施过程;帮助制定评估计划;并测试并告知干预措施。这项研究得出结论,需要更严格的设计和更广泛地使用混合方法来捕获健康科学中干预计划的复杂性。需要探索实施研究和循证实践的新方法,并应开发有效的定性和混合方法,以增强实施过程并提高健康干预计划的有效性。实施研究将定性方法移至研究设计过程中的中心位置。方法学家可能会考虑采用一个新词组“嵌入式混合方法实施研究”来描述健康干预研究的未来。将混合方法框架与特定学科模型结合在一起,可以开发出全面而实用的方法模板。

著录项

  • 作者

    Zhang, Wanqing.;

  • 作者单位

    The University of Nebraska - Lincoln.;

  • 授予单位 The University of Nebraska - Lincoln.;
  • 学科 Health Sciences Mental Health.;Education Health.;Education Educational Psychology.
  • 学位 Ph.D.
  • 年度 2011
  • 页码 194 p.
  • 总页数 194
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:44:14

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