Do waiting times reduce hospital costs?

Area of Science:

• Health Economics
• Healthcare Management
• Public Health Policy

Background:

• Patient waiting times are a critical performance indicator in healthcare systems.
• Understanding the relationship between waiting times and hospital costs is essential for resource allocation and efficiency.
• Previous research has yielded mixed results on the cost implications of extended patient wait times.

Purpose of the Study:

• To estimate the elasticity of hospital costs with respect to waiting times.
• To investigate the non-linear relationship between hospital costs and patient waiting times.
• To identify the optimal waiting time that minimizes total hospital costs.

Main Methods:

• Utilized data from 137 hospitals within the English National Health Service (NHS) between 1998 and 2002.
• Employed both cross-sectional and panel-data analysis techniques.
• Estimated the elasticity of hospital costs concerning waiting times using econometric models.

Main Results:

• At the sample mean waiting time of 103 days, waiting times showed no significant effect or at most a positive effect on hospital costs.
• Cross-sectional estimates indicated a cost elasticity with respect to waiting time in the range of 0.4-1.
• Fixed-effects specifications revealed a lower, positive elasticity (0.2-0.4), suggesting a non-linear, U-shaped relationship between hospital costs and waiting times.
• The waiting time that minimizes total hospital costs was consistently found to be below ten days.

Conclusions:

• Extended hospital waiting times, particularly at the sample mean, do not significantly increase hospital costs.
• A U-shaped cost curve suggests that very short waiting times (under ten days) are associated with the lowest hospital costs.
• Healthcare policymakers should consider the non-linear relationship and focus on optimizing waiting times to potentially reduce overall costs.