The article "Achieving Integration in Mixed Methods Designs—Principles and Practices" by Michael D. Fetter, Leslie A. Curry, and John W. Creswell, explores the integration of qualitative and quantitative data in mixed methods research, particularly in health services research. It outlines three levels of integration: study design, methods, and interpretation and reporting. At the study design level, integration occurs through basic designs (exploratory sequential, explanatory sequential, and convergent) and advanced frameworks (multistage, intervention, case study, and participatory). At the methods level, integration is achieved through connecting, building, merging, and embedding. Connecting involves linking data through sampling, building involves using one data set to inform the other, merging involves combining data for analysis, and embedding involves linking data collection and analysis at multiple points. At the interpretation and reporting level, integration is facilitated through narrative, data transformation, and joint displays. The article emphasizes the importance of understanding these principles to enhance the quality and rigor of mixed methods research in health services. Two examples are provided to illustrate the integration practices in an exploratory sequential and a convergent mixed methods study.The article "Achieving Integration in Mixed Methods Designs—Principles and Practices" by Michael D. Fetter, Leslie A. Curry, and John W. Creswell, explores the integration of qualitative and quantitative data in mixed methods research, particularly in health services research. It outlines three levels of integration: study design, methods, and interpretation and reporting. At the study design level, integration occurs through basic designs (exploratory sequential, explanatory sequential, and convergent) and advanced frameworks (multistage, intervention, case study, and participatory). At the methods level, integration is achieved through connecting, building, merging, and embedding. Connecting involves linking data through sampling, building involves using one data set to inform the other, merging involves combining data for analysis, and embedding involves linking data collection and analysis at multiple points. At the interpretation and reporting level, integration is facilitated through narrative, data transformation, and joint displays. The article emphasizes the importance of understanding these principles to enhance the quality and rigor of mixed methods research in health services. Two examples are provided to illustrate the integration practices in an exploratory sequential and a convergent mixed methods study.