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The role of simulation in mixed-methods research: a framework

Overview of attention for article published in BMC Health Services Research, May 2017
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Title
The role of simulation in mixed-methods research: a framework & application to patient safety
Published in
BMC Health Services Research, May 2017
DOI 10.1186/s12913-017-2255-7
Pubmed ID
Authors

Jeanne-Marie Guise, Matthew Hansen, William Lambert, Kerth O’Brien

Abstract

Research in patient safety is an important area of health services research and is a national priority. It is challenging to investigate rare occurrences, explore potential causes, and account for the complex, dynamic context of healthcare - yet all are required in patient safety research. Simulation technologies have become widely accepted as education and clinical tools, but have yet to become a standard tool for research. We developed a framework for research that integrates accepted patient safety models with mixed-methods research approaches and describe the performance of the framework in a working example of a large National Institutes of Health (NIH)-funded R01 investigation. This worked example of a framework in action, identifies the strengths and limitations of qualitative and quantitative research approaches commonly used in health services research. Each approach builds essential layers of knowledge. We describe how the use of simulation ties these layers of knowledge together and adds new and unique dimensions of knowledge. A mixed-methods research approach that includes simulation provides a broad multi-dimensional approach to health services and patient safety research.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 58 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 16%
Researcher 8 14%
Student > Doctoral Student 4 7%
Lecturer 3 5%
Student > Master 3 5%
Other 13 22%
Unknown 18 31%
Readers by discipline Count As %
Medicine and Dentistry 12 21%
Nursing and Health Professions 10 17%
Arts and Humanities 5 9%
Social Sciences 3 5%
Computer Science 2 3%
Other 8 14%
Unknown 18 31%