This column is the second in a 3-part series on blending methods for quality improvement (QI) with traditional methods of experimental research for the purpose of producing a scientifically rigorous evaluation of implementation. In Part I, “Design and Data Collection,”1 we described the first 3 steps for blending QI and research methods: step 1—begin with a focused topic; step 2—select qualitative and quantitative metrics; and step 3—identify time intervals for evaluation. The following information builds on Part I by describing the next 3 steps in the process for blending the observational data from QI processes with the experimental design of a randomized controlled intervention: step 4—choose the unit of randomization; step 5—evaluate the quality of implementation over time; and step 6—evaluate differences in the quality of implementation across sites. These 3 steps describe how to address the QI component of the blended...
Blending Quality Improvement and Research Methods for Implementation Science, Part II: Analysis of the Quality of Implementation
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Bradi B. Granger, Sean D. Pokorney, Charles Taft; Blending Quality Improvement and Research Methods for Implementation Science, Part II: Analysis of the Quality of Implementation. AACN Adv Crit Care 1 October 2015; 26 (4): 366–371. doi: https://doi.org/10.4037/NCI.0000000000000109
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