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Sensitivity and specificity of the Minimum Data Set 3.0 discharge data relative to Medicare claims
Momotazur Rahman1, Denise Tyler1, Joseph Kofi Acquah2
1Department of Health Services, Policy, and Practice, Brown University, Providence, RI.
Objective:
The objective of this study was to determine whether the Minimum Data Set (MDS) 3.0 discharge record accurately identifies hospitalizations and deaths of nursing home residents.
Design:
We merged date of death from Medicare enrollment data and hospital inpatient claims with MDS discharge records to check whether the same information can be verified from both the sources. We examined the association of 30-day rehospitalization rates from nursing homes calculated only from MDS and only from claims. We also examined how correspondence between these 2 data sources varies across nursing homes.
Settings:
All fee-for-service (FFS) Medicare beneficiaries admitted for Medicare-paid (with prospective payment system) skilled nursing facility (SNF) care in 2011.
Results:
Some 94% of hospitalization events in Medicare claims can be identified using MDS discharge records and 87% of hospitalization events detected in MDS data can be verified by Medicare hospital claims. Death can be identified almost perfectly from MDS discharge records. More than 99% of the variation in nursing home-level 30-day rehospitalization rate calculated using claims data can be explained by the same rates calculated using MDS. Nursing home structural characteristics explain only 5% of the variation in nursing home-level sensitivity and 3% of the variation in nursing home-level specificity.
Conclusion:
The new MDS 3.0 discharge record matches Medicare enrollment and hospitalization claims events with a high degree of accuracy, meaning that hospitalization rates calculated based on MDS offer a good proxy for the "gold standard" Medicare data.
Insights
The Minimum Data Set (MDS) 3.0 discharge record accurately identifies nursing home resident hospitalizations and deaths. MDS data provides a reliable proxy for Medicare claims data, crucial for tracking resident outcomes.
Area of Science:
- Healthcare Informatics
- Geriatric Care
- Health Services Research
Background:
- Accurate tracking of nursing home resident hospitalizations and deaths is essential for quality assessment and care improvement.
- The Minimum Data Set (MDS) 3.0 is a standardized assessment used in nursing homes, but its accuracy for post-discharge events requires validation.
Purpose of the Study:
- To evaluate the accuracy of the MDS 3.0 discharge record in identifying hospitalizations and deaths among nursing home residents.
- To compare hospitalization and rehospitalization rates derived from MDS data versus traditional Medicare claims data.
Main Methods:
- Merged Medicare enrollment data (deaths) and hospital inpatient claims with MDS 3.0 discharge records for validation.
- Analyzed the concordance between MDS and claims data for identifying hospitalization events.
- Examined 30-day rehospitalization rates calculated from both MDS and claims data.
Main Results:
- MDS 3.0 discharge records identified 94% of hospitalizations found in Medicare claims and 87% of MDS-identified hospitalizations were verified by claims.
- Death identification using MDS discharge records was nearly perfect.
- MDS-derived 30-day rehospitalization rates explained over 99% of the variation in claims-derived rates.
Conclusions:
- The MDS 3.0 discharge record demonstrates high accuracy in capturing hospitalization and death events for nursing home residents.
- MDS-based hospitalization rates serve as a strong proxy for the gold-standard Medicare claims data, supporting its use in quality monitoring.
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