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A Pragmatic Method for Measuring Inpatient Complications and Complication-Specific Mortality
George T Blike1, Irina M Perreard2, Krystal M McGovern3
1From the Center for Surgical Innovation, Dartmouth-Hitchcock Health System, Department of Anesthesiology.
This study developed new hospital metrics for major complications and mortality, improving identification of care improvement opportunities and enhancing measurement of failure to rescue rates.
Area of Science:
- Healthcare quality improvement
- Patient safety
- Hospital performance metrics
Background:
- Existing metrics for hospital-acquired complications and failure to rescue have limitations.
- There is a need for enhanced hospital-level metrics to identify specific areas for improvement.
- Current measures may not adequately capture the nuances of serious complications and associated mortality.
Purpose of the Study:
- To develop hospital-level metrics for major complications associated with mortality.
- To improve the identification of opportunities for enhancing patient care.
- To refine metrics for failure to rescue, defined as death from serious but treatable complications.
Main Methods:
- Utilized Agency for Healthcare Research and Quality metrics as a foundation.
- Calculated complication-specific occurrence and mortality rates using International Classification of Disease, Tenth Revision codes.
- Analyzed data for adult patients over four years, excluding hospice and admission complications, comparing the study institution with 182 peers.
Main Results:
- The complication-specific method revealed statistically significant differences in occurrence and mortality rates at the study hospital compared to peers.
- Monthly control charts demonstrated the effectiveness of hospital-level interventions in preventing complications and reducing failure to rescue deaths.
- Temporal visualizations facilitated comparison of past and recent performance against peer institutions.
Conclusions:
- The developed method enhances visualization of opportunities to improve care delivery systems by supplementing existing complication metrics.
- This approach minimizes reporting burden by leveraging existing measure components.
- Monthly time-series data enable rapid assessment of interventions aimed at preventing complications and improving patient rescue outcomes.
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