Note: if you have specific questions about how to write a research paper, you should seek advice from your professor before you begin.
Requirements set forth by your professor will always supersede instructions provided in these general guidelines.
This brief focuses on using mixed methods to evaluate patient-centered medical home (PCMH) models.
It is part of a series commissioned by the Agency for Healthcare Research and Quality (AHRQ) and developed by Mathematica Policy Research under contract, with input from other nationally recognized thought leaders in research methods and PCMH models.
This involves first collecting qualitative exploratory data, analyzing the information, and using the findings to develop a psychometric instrument well adapted to the sample under study.
This instrument is then, in turn, administered to a sample of a population.The two types of data can provide validation for each other and also create a solid foundation for drawing conclusions about the intervention.Use qualitative data to explore quantitative findings.An outcomes study, for example a randomized, controlled trial, with qualitative data collection and analysis added, is called an .Within this type of an outcomes study, the researcher collects and analyzes both quantitative and qualitative data.The core characteristics of a well-designed mixed methods study in PCMH research include the following: This brief focuses on the potential uses of this methodology for PCMH research as well as on specific mixed methods designs in primary care research (Creswell, Fetters, and Ivankova, 2004) that offer feasible, information-rich data that can enhance traditional quantitative research to top Mixed methods can be an ideal technique to assess complex interventions such as PCMHs (Homer, Klatka, Romm, et al., 2008; Nutting, Miller, Crabtree, et al., 2009).PCMH evaluators can choose from five primary mixed methods designs depending on the research questions they want to answer and resources available for the evaluation.Validate findings using quantitative and qualitative data sources.Evaluators can use a to compare findings from qualitative and quantitative data sources.For example, a PCMH study could begin with a qualitative exploration through interviews with primary care providers to assess what constructs should be measured to best understand improved quality of care.From this exploration, an instrument could be developed using rigorous scale development procedures (De Vellis, 1991) that is then tested with a sample.