Hospital Variation in Cesarean Delivery: A Multilevel Analysis

Area of Science:

• Health Services Research
• Health Economics
• Biostatistics

Background:

• Healthcare variations, particularly in surgical procedures like cesarean sections, represent a significant challenge in healthcare systems globally.
• Understanding the sources of these variations is crucial for improving healthcare quality and financial sustainability.

Purpose of the Study:

• To quantify hospital variations in cesarean section rates within a Colombian single-payer network.
• To develop and apply a methodological approach for analyzing healthcare variations, considering individual-level factors.

Main Methods:

• Utilized data from 11,954 births in a Colombian contributory-regimen insurer network in 2007.
• Employed a multilevel logistic regression model to analyze unexplained variance between hospitals.
• Conducted variance decomposition to assess the regional effect on unexplained variance.

Main Results:

• Hospitals were responsible for 20% of the variation in cesarean section performance.
• Regional effects explained only one-third of the unexplained variance attributed to hospitals.
• Demand-side preferences and reimbursement rates were identified as predictors of cesarean section probability.

Conclusions:

• Significant hospital variations exist even within a high-performing single-payer network in Colombia.
• These variations, influenced by patient preferences and reimbursement, contribute to healthcare inefficiencies and threaten sustainability.
• The findings suggest a lower bound for hospital variation in the broader Colombian market and highlight the need for the proposed methodology in future research.