Designing a mixed methods study in primary care
Designing a mixed methods study in primary care
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DOI：
10.1370/afm.104
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发表时间：
2004-01-01
影响因子：
4.4
通讯作者：
Ivankova, NV
中科院分区：
文献类型：
--
作者：
Creswell, JW;Fetters, MD;Ivankova, NV
背景混合方法或多方法研究具有在初级保健中进行严格的、方法上合理的研究的潜力。本研究的目的是使用文献中的标准来评估初级保健中的 5 项混合方法研究，并提出 3 个可用于设计此类调查的模型。方法我们首先确定了社会和行为科学的标准来分析初级保健研究中的混合方法研究。然后，我们使用该标准评估了初级保健研究期刊上发表的 5 项混合方法调查。 结果 在所分析的 5 项研究中，3 项包括基于从定性数据开发定量工具或聚合信息以最好地理解研究主题的需要而进行混合的基本原理。定量数据收集涉及结构化访谈、观察清单和图表审核，并使用描述性和推论性统计程序进行分析。定性数据包括半结构化访谈和现场观察，使用编码进行分析以开发主题和类别。研究显示了多种形式的优先权：同等优先权、定性优先权和数量优先权。数据收集涉及同时和顺序收集的定量和定性数据。这些研究中定量和定性数据的整合发生在一个阶段的数据分析和后续阶段的数据收集之间，同时分析数据和报告结果。讨论我们建议混合方法设计的仪器构建、三角测量和数据转换模型作为有用的框架，以增加初级保健调查的严谨性。我们还讨论了我们研究的局限性和未来研究的必要性。
BACKGROUND Mixed methods or multimethod research holds potential for rigorous, methodologically sound investigations in primary care. The objective of this study was to use criteria from the literature to evaluate 5 mixed methods studies in primary care and to advance 3 models useful for-designing such investigations.METHODS We first identified criteria from the social and behavioral sciences to analyze mixed methods studies in primary care research. We then used the criteria to evaluate 5 mixed methods investigations published in primary care research journals.RESULTS Of the 5 studies analyzed, 3 included a rationale for mixing based on the need to develop a quantitative instrument from qualitative data or to converge information to best understand the research topic. Quantitative data collection involved structured interviews, observational checklists,, and chart audits that were analyzed using descriptive and inferential statistical procedures. Qualitative data consisted of semistructured interviews and field observations that were analyzed using coding to develop themes and categories. The studies showed diverse forms of priority: equal priority, qualitative priority, and quantitative priority. Data collection involved quantitative and qualitative data gathered both concurrently and sequentially. The integration of the quantitative and qualitative data in these studies occurred between data analysis from one phase and data collection from a subsequent phase, while analyzing the data, and when reporting the results.DISCUSSION We recommend instrument-building, triangulation, and data transformation models for mixed methods designs as useful frameworks to add rigor to investigations in primary care. We also discuss the limitations of our study and the need for future research.