Developing risk-adjusted 30-day hospital mortality rates.

Area of Science:

• Health Services Research
• Outcomes Research
• Biostatistics

Background:

• Assessing patient outcomes accurately is crucial in healthcare.
• Patient characteristics significantly influence health outcomes, posing challenges to internal validity.
• Existing methods may not fully account for patient-specific risks in outcome analysis.

Purpose of the Study:

• To present and evaluate a risk-adjustment method for outcomes research.
• To minimize threats to internal validity caused by patient characteristics and risks.
• To demonstrate the application of risk adjustment using hospital mortality rates.

Main Methods:

• A two-step approach to outcomes research is proposed.
• The first step involves risk-adjusting outcomes by developing standard mortality rates based on patient characteristics.
• This method utilizes administrative data for risk adjustment.

Main Results:

• Risk adjustment altered both the absolute values and the rank ordering of hospital mortality rates compared to unadjusted (crude) rates.
• The developed standard mortality rates represent a risk-adjusted outcome measure.
• The procedure proved effective in refining outcome measures using administrative data.

Conclusions:

• The described risk-adjustment method enhances the validity of outcomes research.
• This approach provides a robust way to develop risk-adjusted outcomes, particularly using administrative data.
• Accurate risk adjustment is essential for reliable comparisons and analyses in healthcare outcomes.