The Variable Impact of Clinical Risk-Adjustment Models to Evaluate Hospital Design.

Area of Science:

• Healthcare Design Research
• Clinical Outcomes Analysis
• Patient Experience Studies

Background:

• Patient room design, particularly views of nature, is linked to reduced anxiety and pain.
• The confounding effect of patient demographics on room design evaluations requires further investigation.
• Prioritizing large windows for patient rooms may not fully capture the nuances of pain management.

Purpose of the Study:

• To assess the impact of clinical risk adjustment models on pain medication consumption.
• To compare pain medication use between patients in private rooms with nature views and those in multibed wards.
• To evaluate how different risk adjustment strategies influence the interpretation of room design effects on pain.

Main Methods:

• Analysis of 1,284 thyroidectomy patients at the University of Michigan.
• Comparison of pain medication consumption (morphine milliequivalents) between private rooms and multibed wards.
• Application of various risk adjustment models (demographics, comorbidities, opioid history) to pain data.

Main Results:

• Unadjusted data showed no significant difference in pain medication use between room types.
• Risk adjustment revealed higher pain medication consumption in private rooms when controlling for specific factors (p < .01).
• Alternative risk adjustment models indicated higher pain medication use in multibed wards (p < .05).

Conclusions:

• The choice of clinical risk adjustment model significantly alters the estimated differences in pain medication consumption based on room design.
• These findings highlight the critical need for appropriate risk adjustment strategies in healthcare design research.
• Accurate measurement and risk adjustment are essential before implementing design changes into clinical practice.