• Richard A Del Rio, Myla Goldman, B K Kapella, Loreto Sulit, and Patrick K Murray.
• Division of Gastroenterology, University Hospitals of Cleveland/Case Western Reserve University School of Medicine, Cleveland, OH 44106, USA. rad2@case.edu
• J Am Med Dir Assoc. 2006 May 1; 7 (4): 212-8.

ObjectivesThe Minimum Data Set (MDS) is the resident assessment instrument used to guide clinical care, reimbursement, and assess quality in long-term care facilities. This database has been used in many studies, although the accuracy of many data elements remains unknown. This study evaluated the accuracy of the MDS diagnosis variables with respect to the diagnoses for recent hospitalization from Medicare claims data.DesignRetrospective cohort study.Setting945 skilled nursing facilities in Ohio.Participants17,294 residents admitted from an acute care facility during 2000.MeasurementsEleven diagnoses listed in the MDS were compared with Medicare hospital discharge claims. Specifically, each MDS diagnosis was compared to the primary diagnosis, the list of secondary diagnoses, and the Diagnosis Related Group (DRG).ResultsClaims diagnoses were listed in the MDS with an average frequency of 79% (range: 31%-94%) for the primary diagnosis, 66% (range: 33%-90%) for any diagnosis, and 71% (range: 31%-94%) for the DRG. MDS diagnoses were listed as the primary diagnosis, any diagnosis, and DRG with an average frequency of 20% (range: 6%-81%), 62% (range: 41%-86%), and 19% (range: 7%-84%), respectively, with only hip fracture listed more than 80% of the time.ConclusionThe sensitivity of the MDS for listing diagnoses from recent hospitalization appears good for most diagnoses. However, except for hip fracture, the MDS has poor predictive value with regard to the primary reason for the preceding hospitalization; this may have implications for resident care planning and the utility of this database in long-term care research.

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