[Geriatrics in Bavaria-Database (GiB-DAT): Basic data analysis of geriatric rehabilitation in Bavaria and analysis of inter-clinic variability (part II)]

Z Gerontol Geriatr. 2006 Apr;39(2):134-42. doi: 10.1007/s00391-006-0339-9.
[Article in German]

Abstract

Objective: Presentation and comparison of basic data from geriatric rehabilitation in Bavaria with analysis of statistical influences on characteristic values like length of stay and Barthel Index. Are differences between participating clinics due to patient characteristics?

Setting: There were a total of 21 656 data records of the Geriatrics in Bavaria- Database (GiB-DAT) collected by 35 clinics within 1 year. RESULTS (PERCENTAGE OR MEAN): 70.6% female patients, age 80.0 years, 95.9% enrollment from acute care hospitals, length of stay in previous hospitals 24.3 days, length of stay in geriatric rehabilitation 24.6 days.

Diagnosis: 41.7% orthopedics, 24.9% neurological, 33.4% others. Barthel Index on admission 44.1 points, on discharge 65.8 points (difference 21.8 points). We found a large variance of all items between participating clinics. Variance for Barthel Index and length of stay is partly cleared up by regression analysis (multinomial logistic) and is mostly due to patient characteristics.

Conclusions: Basic data of Bavarian geriatric rehabilitation clinics is matching with nationwide reference statistics. Differences exist for the lower rate of stroke and direct enrollment of outpatients. A simple ranking of outcome parameters (e. g. Barthel Index) does not make sense due to multiple influencing factors.

Publication types

  • Comparative Study

MeSH terms

  • Aged
  • Aged, 80 and over
  • Benchmarking
  • Databases as Topic*
  • Female
  • Geriatric Assessment
  • Geriatrics / standards*
  • Germany
  • Humans
  • Length of Stay
  • Male
  • Middle Aged
  • Outcome Assessment, Health Care
  • Regression Analysis
  • Rehabilitation / standards*
  • Rehabilitation Centers / standards*
  • Time Factors