TY - JOUR
T1 - Practical Applications of Rapid Qualitative Analysis for Operations, Quality Improvement, and Research in Dynamically Changing Hospital Environments
AU - Keniston, Angela
AU - McBeth, Lauren
AU - Astik, Gopi
AU - Auerbach, Andrew
AU - Busch, Johanna
AU - Kangelaris, Kirsten N.
AU - Kulkarni, Shradha A.
AU - Linker, Anne S.
AU - Sakumoto, Matthew
AU - Leykum, Luci
AU - Burden, Marisha
N1 - Funding Information:
Dr. Leykum receives salary support from the Health Services Research and Development service in the US Department of Veterans Affairs. The views expressed do not represent the position of the Department of Veterans Affairs or other organizations affiliated with the authors. Dr. Auerbach has received funding from the Gordon and Betty Moore Foundation for his work with the HOMERuN Research Network. He also receives royalties from UpToDate (not related to this work). Dr. Burden and Ms. Keniston have received funding from the Agency for Healthcare Research and Quality and a Total Worker Health Grant (neither related to this work). Dr. Sakumoto reports personal fees or honoraria from the following companies in the past 12 months: PlushCare, Clearstep, Matter Health, Carbon Health, American Medical Association. This is not related to this work. Ms. McBeth and Drs. Astik, Busch, Kangelaris, Kulkarni, and Linker do not report any conflicts of interest related to this work.
Publisher Copyright:
© 2022 The Joint Commission
PY - 2023/2
Y1 - 2023/2
N2 - Background: Health care systems are in a constant state of change. As such, methods to quickly acquire and analyze data are essential to effectively evaluate current processes and improvement projects. Rapid qualitative analysis offers an expeditious approach to evaluate complex, dynamic, and time-sensitive issues. Methods: We used rapid data acquisition and qualitative methods to assess six real-world problems the hospitalist field faced during the COVID-19 pandemic. We iteratively modified and applied a six-step framework for conducting rapid qualitative analysis, including determining if rapid methods are appropriate, creating a team, selecting a data collection approach, data analysis, and synthesis and dissemination. Virtual platforms were used for focus groups and interviews; templated summaries and matrix analyses were then applied to allow for rapid qualitative analyses. Results: We conducted six projects using rapid data acquisition and rapid qualitative analysis from December 4, 2020, to January 14, 2022, each of which included 23 to 33 participants. One project involved participants from a single institution; the remainder included participants from 15 to 24 institutions. These projects led to the refinement of an adapted rapid qualitative method for evaluation of hospitalist-driven operational, research, and quality improvement efforts. We describe how we used these methods and disseminated our results. We also discuss situations for which rapid qualitative methods are well-suited and strengths and weaknesses of the methods. Conclusion: Rapid qualitative methods paired with rapid data acquisition can be employed for prompt turnaround assessments of quality, operational, and research projects in complex health care environments. Although rapid qualitative analysis is not meant to replace more traditional qualitative methods, it may be appropriate in certain situations. Application of a framework to guide projects using a rapid qualitative approach can help provide structure to the analysis and instill confidence in the findings.
AB - Background: Health care systems are in a constant state of change. As such, methods to quickly acquire and analyze data are essential to effectively evaluate current processes and improvement projects. Rapid qualitative analysis offers an expeditious approach to evaluate complex, dynamic, and time-sensitive issues. Methods: We used rapid data acquisition and qualitative methods to assess six real-world problems the hospitalist field faced during the COVID-19 pandemic. We iteratively modified and applied a six-step framework for conducting rapid qualitative analysis, including determining if rapid methods are appropriate, creating a team, selecting a data collection approach, data analysis, and synthesis and dissemination. Virtual platforms were used for focus groups and interviews; templated summaries and matrix analyses were then applied to allow for rapid qualitative analyses. Results: We conducted six projects using rapid data acquisition and rapid qualitative analysis from December 4, 2020, to January 14, 2022, each of which included 23 to 33 participants. One project involved participants from a single institution; the remainder included participants from 15 to 24 institutions. These projects led to the refinement of an adapted rapid qualitative method for evaluation of hospitalist-driven operational, research, and quality improvement efforts. We describe how we used these methods and disseminated our results. We also discuss situations for which rapid qualitative methods are well-suited and strengths and weaknesses of the methods. Conclusion: Rapid qualitative methods paired with rapid data acquisition can be employed for prompt turnaround assessments of quality, operational, and research projects in complex health care environments. Although rapid qualitative analysis is not meant to replace more traditional qualitative methods, it may be appropriate in certain situations. Application of a framework to guide projects using a rapid qualitative approach can help provide structure to the analysis and instill confidence in the findings.
UR - http://www.scopus.com/inward/record.url?scp=85146917327&partnerID=8YFLogxK
U2 - 10.1016/j.jcjq.2022.11.003
DO - 10.1016/j.jcjq.2022.11.003
M3 - Article
C2 - 36585315
AN - SCOPUS:85146917327
SN - 1553-7250
VL - 49
SP - 98
EP - 104
JO - Joint Commission Journal on Quality and Patient Safety
JF - Joint Commission Journal on Quality and Patient Safety
IS - 2
ER -