title: The need for multiple measures of hospital quality: results from the Get with the Guidelines-Heart Failure Registry of the American Heart Association.
abstract: BACKGROUND
  Process and outcome measures are often used to quantify quality of care in hospitals. Whether these quality measures correlate with one another and the degree to which hospital provider rankings shift on the basis of the performance metric is uncertain.
  
  
  RESULTS
  Heart failure patients ≥ 65 years of age hospitalized in the Get With the Guidelines-Heart Failure registry of the American Heart Association were linked to Medicare claims from 2005 to 2006. Hospitals were ranked by (1) composite adherence scores for 5 heart failure process measures, (2) composite adherence scores for emerging quality measures, (3) risk-adjusted 30-day death after admission, and (4) risk-adjusted 30-day readmission after discharge. Hierarchical models using shrinkage estimates were performed to adjust for case mix and hospital volume. There were 19 483 patients hospitalized from 2005 to 2006 from 153 hospitals. The overall median composite adherence rate to heart process measures was 85.8% (25th, 75th percentiles 77.5, 91.4). Median 30-day risk-adjusted mortality was 9.0% (7.9, 10.4). Median risk-adjusted 30-day readmission was 22.9% (22.1, 23.5). The weighted κ for remaining within the top 20th percentile or bottom 20th percentile was ≤ 0.15 and the Spearman correlation overall was ≤ 0.21 between the different measures of quality of care. The average shift in ranks was 33 positions (13, 68) when criteria were changed from 30-day mortality to readmission and 51 positions (22, 76) when ranking metric changed from 30-day mortality to composite process adherence.
  
  
  CONCLUSIONS
  Agreement between different methods of ranking hospital-based quality of care and 30-day mortality or readmission rankings was poor. Profiling quality of care will require multidimensional ranking methods and/or additional measures.
authors.affiliation: Duke Clinical Research Institute, Durham, NC 27715, USA. adrian.hernandez@duke.edu
authors.forename: Adrian F
authors.initials: AF
authors.lastname: Hernandez
authors.forename: Gregg C
authors.initials: GC
authors.lastname: Fonarow
authors.forename: Li
authors.initials: L
authors.lastname: Liang
authors.forename: Paul A
authors.initials: PA
authors.lastname: Heidenreich
authors.forename: Clyde
authors.initials: C
authors.lastname: Yancy
authors.forename: Eric D
authors.initials: ED
authors.lastname: Peterson
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D000573:American Hospital Association; D015897:Comorbidity; D003953:Diagnosis-Related Groups; D005260:Female; D019983:Guideline Adherence / Q000706:statistics & numerical data*; D006333:Heart Failure / Q000401:mortality / Q000628:therapy*; D006761:Hospitals / Q000592:standards* / Q000706:statistics & numerical data; D006801:Humans; D007297:Inpatients / Q000706:statistics & numerical data; D008297:Male; D006278:Medicare / Q000706:statistics & numerical data; D010043:Outcome and Process Assessment, Health Care; D010359:Patient Readmission; D017410:Practice Guidelines as Topic; D011785:Quality Assurance, Health Care; D019984:Quality Indicators, Health Care; D012042:Registries; D012306:Risk; D014481:United States; D016277:Ventricular Function, Left