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Mapping Healthcare Spaces: A Systematic Scoping Review of Spatial and Behavioral Observation Methods
Ruby Lipson-Smith1, Rebecca McLaughlan1,2
1School of Architecture and the Built Environment, University of Newcastle, Australia.
This study categorizes spatial observation methods in healthcare research, finding that combining methods improves results. Choosing the right method for your research question and setting is key for success.
Area of Science:
- Healthcare Environments Research
- Spatial Observation Methods
- Research Methodology
Background:
- Spatial observation is crucial but resource-intensive in healthcare research.
- Existing literature lacks a comprehensive catalog of spatial and behavioral observation methods, their benefits, and limitations.
- Inconclusive results are common due to the resource-intensive nature of these methods.
Purpose of the Study:
- To develop a taxonomy of spatial observation methods used in healthcare environments research.
- To describe the relative success and limitations of various spatial observation techniques.
- To offer practical guidance for selecting appropriate spatial observation methods.
Main Methods:
- Systematic review adhering to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines.
- Searched ten key databases for relevant studies.
- Screened articles and categorized 79 reported observation methods into four distinct approaches.
Main Results:
- Identified four distinct methodological approaches for spatial observation in healthcare settings.
- Highlighted common limitations such as poor generalizability and inadequate recording of environmental variables.
- Found that combining observation with complementary methods like interviews yielded more concrete conclusions.
Conclusions:
- The success of spatial observation studies depends on method-question fit, healthcare setting, complementary methods, and analysis model.
- Researchers can use this taxonomy to select the most suitable spatial observation methods.
- Proper method selection is vital for generating conclusive results in healthcare environments research.
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