title: Variation between Hospitals with Regard to Diagnostic Practice, Coding Accuracy, and Case-Mix. A Retrospective Validation Study of Administrative Data versus Medical Records for Estimating 30-Day Mortality after Hip Fracture.
abstract: The purpose of this study was to assess the validity of patient administrative data (PAS) for calculating 30-day mortality after hip fracture as a quality indicator, by a retrospective study of medical records.
  
  
  
  We used PAS data from all Norwegian hospitals (2005-2009), merged with vital status from the National Registry, to calculate 30-day case-mix adjusted mortality for each hospital (n = 51). We used stratified sampling to establish a representative sample of both hospitals and cases. The hospitals were stratified according to high, low and medium mortality of which 4, 3, and 5 hospitals were sampled, respectively. Within hospitals, cases were sampled stratified according to year of admission, age, length of stay, and vital 30-day status (alive/dead). The final study sample included 1043 cases from 11 hospitals. Clinical information was abstracted from the medical records. Diagnostic and clinical information from the medical records and PAS were used to define definite and probable hip fracture. We used logistic regression analysis in order to estimate systematic between-hospital variation in unmeasured confounding. Finally, to study the consequences of unmeasured confounding for identifying mortality outlier hospitals, a sensitivity analysis was performed.
  
  
  
  The estimated overall positive predictive value was 95.9% for definite and 99.7% for definite or probable hip fracture, with no statistically significant differences between hospitals. The standard deviation of the additional, systematic hospital bias in mortality estimates was 0.044 on the logistic scale. The effect of unmeasured confounding on outlier detection was small to moderate, noticeable only for large hospital volumes.
  
  
  
  This study showed that PAS data are adequate for identifying cases of hip fracture, and the effect of unmeasured case mix variation was small. In conclusion, PAS data are adequate for calculating 30-day mortality after hip-fracture as a quality indicator in Norway.
authors.affiliation: Quality Measurement Unit, Norwegian Institute of Public Health, Oslo, Norway.
authors.forename: Jon
authors.identifier: 0000-0002-9348-7844
authors.initials: J
authors.lastname: Helgeland
authors.affiliation: Quality Measurement Unit, Norwegian Institute of Public Health, Oslo, Norway.
authors.forename: Doris Tove
authors.initials: DT
authors.lastname: Kristoffersen
authors.affiliation: Department of Registration, Institute of Population-Based Cancer Research, Cancer Registry of Norway, Oslo, Norway.
authors.forename: Katrine Damgaard
authors.initials: KD
authors.lastname: Skyrud
authors.affiliation: Quality Measurement Unit, Norwegian Institute of Public Health, Oslo, Norway.
authors.forename: Anja Schou
authors.initials: AS
authors.lastname: Lindman
mesh_terms: D000465:Algorithms; D006620:Hip Fractures / Q000401:mortality; D006801:Humans; D008499:Medical Records; D008962:Models, Theoretical; D012189:Retrospective Studies; D013997:Time Factors