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Lessons Learnt from Testing Three Spatial Observation Tools in a Hospital Ward
Elke Miedema1, Laura Cambra-Rufino2
1Inholland University of Applied Sciences, Haarlem, Netherlands.
Structured observation tools are crucial for healthcare building design research. This study reflects on three tools used in a hospital ward assessment, offering insights for improved design and user outcomes.
Area of Science:
- Healthcare Design Research
- Building Performance Evaluation
- Human-Environment Interaction
Background:
- Observation tools are vital for understanding healthcare building design's impact on users and organizations.
- Current case studies often struggle to isolate specific design features influencing outcomes.
- There's a need for structured observation methods to enhance research reliability and knowledge synthesis.
Purpose of the Study:
- To reflect on the purpose, usability, and effectiveness of three spatial observation tools in a hospital ward design study.
- To provide insights into the advantages, disadvantages, and potential improvements of these tools.
- To guide the selection and application of observation tools in healthcare design research, particularly for pre- and post-occupancy evaluations.
Main Methods:
- Utilized three distinct spatial observation tools: a checklist-style matrix (Centre for Health Design), a one-time spatial inventory, and a recurring observation tool.
- Adapted the Smart Sustainable Offices method for healthcare environments for the latter two tools.
- Documented design features, user activities, and behaviors across various hospital ward spaces.
Main Results:
- The study highlights the importance of selecting appropriate tools aligned with specific research objectives.
- Reflections offer practical guidance for using observation tools in healthcare settings.
- Documenting spatial contexts and reusing tools can enhance study findings and enable cross-study comparisons.
Conclusions:
- Structured observation tools are essential for advancing healthcare building design research.
- Further development and application of these tools can improve the understanding of design's impact on health and organizational outcomes.
- Future research could leverage artificial intelligence for enhanced analysis of observational data.
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