Abstract
To contribute to healthcare improvements, qualitative health research must adapt to the demanding pace of constantly changing healthcare practices and policies. To meet this challenge, researchers need methods for rigorous and rapid data analysis. This article introduces the Rapid Group Analysis Process (Rap-GAP), a new approach for rapid qualitative data analysis. This method is more efficient than other rapid qualitative analysis methods. It allows for the direct involvement of diverse participants in the analysis process, including patients or healthcare decision-makers with limited qualitative research experience, while keeping the analysis grounded in the primary data (e.g., transcripts). These attributes make Rap-GAP a unique and valuable alternative to traditional qualitative analysis. This article describes the 5-step Rap-GAP process and 3 case studies that demonstrate how to use the method and adapt it for different analytical goals. Future research will evaluate and describe the outcomes of Rap-GAP compared to traditional qualitative analysis.