title: The accuracy of Minimum Data Set diagnoses in describing recent hospitalization at acute care facilities.
abstract: OBJECTIVE
  The 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.
  
  
  METHODS
  Retrospective cohort study.
  
  
  METHODS
  945 skilled nursing facilities in Ohio.
  
  
  METHODS
  17,294 residents admitted from an acute care facility during 2000.
  
  
  METHODS
  Eleven 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).
  
  
  RESULTS
  Claims 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.
  
  
  CONCLUSIONS
  The 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.
authors.affiliation: Division of Gastroenterology, University Hospitals of Cleveland/Case Western Reserve University School of Medicine, Cleveland, OH 44106, USA. rad2@case.edu
authors.forename: Richard A
authors.initials: RA
authors.lastname: Del Rio
authors.forename: Myla
authors.initials: M
authors.lastname: Goldman
authors.forename: B K
authors.initials: BK
authors.lastname: Kapella
authors.forename: Loreto
authors.initials: L
authors.lastname: Sulit
authors.forename: Patrick K
authors.initials: PK
authors.lastname: Murray
mesh_terms: D000203:Activities of Daily Living; D000208:Acute Disease; D000368:Aged; D000369:Aged, 80 and over; D003625:Data Collection / Q000379:methods* / Q000592:standards; D003953:Diagnosis-Related Groups / Q000592:standards*; D005260:Female; D015577:Geriatric Assessment / Q000379:methods*; D006302:Health Services Research; D006760:Hospitalization / Q000706:statistics & numerical data; D006801:Humans; D007344:Insurance Claim Reporting; D007345:Insurance Claim Review; D038801:International Classification of Diseases / Q000592:standards*; D008297:Male; D006278:Medicare; D009730:Nursing Assessment / Q000379:methods / Q000592:standards; D009735:Nursing Homes; D009820:Ohio; D010343:Patient Admission; D012051:Reimbursement Mechanisms; D012189:Retrospective Studies; D012680:Sensitivity and Specificity