Comparing clinical automated, medical record, and hybrid data sources for diabetes quality measures

• HIT Description: Data collection and summary systems; Electronic health record More info...
  
• Purpose of Study: Assess the agreement between diabetes quality measures constructed from clinical automated versus medical record data sources, and examine the performance of hybrid measures derived from a combination of the two data sources.
  
• Years of study: 1999-2000
  
• Study Design: Case series
  
• Outcomes: Impact on health care effectivness/quality
  

• Settings: Medical records were abstracted from 21 facilities in 4 Veterans Integrated Service Networks. Automated data were obtained from a central Veterans Health Administration diabetes registry.
• Intervention: Diabetes quality measures constructed from clinical automated was compared to medical record data sources.
• Evaluation Method: Measures of agreement and performance.
• HIT System: o The VA electronic medical record contains progress notes, pharmacy information, results of laboratory tests, diagnosis, and other clinical data.
• Quality of Care and Patient Safety Outcome: Success rates were higher for process measures derived from medical record data than from automated data, but no substantial differences among data sources were found for the intermediate outcome measures. Agreement for measures derived from the medical record compared with automated data was moderate for process measures but high for intermediate outcome measures. Hybrid measures yielded success rates similar to those of medical record-based measures but would have required about 50% fewer chart reviews.