Joint Programming Initiative

More Years, Better Lives

The Potential and Challenges of Demographic Change

GAP-DRG (General Approach for Patient oriented Outpatient-based DRG)
GAP-DRG (Grundlagenarbeit für ambulante Patientenorientierte DRG)

Topic
Health and Performance
Relevance for this Topic
Country Austria
More Topics

Governance

Contact information

Nina Pfeffer
Main Association of the Austrian Social Insurance Institutions (Hauptverband der österreichischen Sozialversicherungsträger)
Kundmanngasse 21
1031 Vienna
Austria
Phone: +43 1 711 320
Email: nina.pfeffer(at)hvb.sozvers.at

Timeliness, transparency

Source data is collected annually, but this research database only contains data for 2006-2007. The main findings were published in 2011. The Main Association of the Austrian Social Insurance Institutions (Hauptverband der österreichischen Sozialversicherungsträger) makes the R & SQL programming codes available for replication of matching procedure.

Type of data


Other, please specify

Type of Study


Research database

Data gathering method


Reimbursement data


Access to data

Conditions of access


Access subject to request and prior approval


Anonymised microdata


The data is only available in German.


Coverage


Database was assembled with data for years 2006-2007. It includes all individuals who received services in 2006/07 and all those covered by social insurance (approximately 98% of the population).


2006-2007


Stratification possible for age, gender and district; Available data and findings are not published with a regional disaggregation (although in theory that is possible)


Registry


Each of Austria's 9 regions


All ages


For those in old-age institutions and nursing homes, data is inconsistent.


Data collected on demand for health care services, i.e. episodes of care (outpatient and inpatient) and sickness leaves. The database does not cover ambulatory care in hospitals. The following conditions are covered: chronic obstructive pulmonary disease, diabetes, cancer, coronary health disease, and mental health. Socio-economic variables includeage, gender and district. Corresponds to Health and Performance Topic


• Endel, F., Endel, G., & Pfeffer, N. “Routine Data in HTA: Record Linkage in Austria’s GAP-DRG Database' in Value in Health. 15 (7) (2012): A466. • Pfeffer, N., Weisser, A., Endel, G., Scholler, C., Eisl, A., & Filzmoser, P. “Diagnoses-related procedure bundles in outpatient care – results from a research project using secondary data'. In BMC Health Serv Res. 11 (Suppl 1) (2012): A3. Available at: www.ncbi.nlm.nih.gov/.../1472-6963-11-S1-A3.pdf
.


Linkage


NA


It is possible to link the database to other national databases through a Unique Person Identifier (UPI).


Data quality


Database is composed of several regional and occupational sickness funds. Hospital data was added and linked through a complex algorithm. About 99% of observations in all databases were matched. Data also includes seasonal workers and tourists who used health care services, but the inclusion of these observations does not impact quality of data, given the total number of observations (approximately 98% of population).


Applicability


Strengths: The database provides coverage of the entire population, makes it possible to link the data through the Unique Person Identifier, and provides reliable data on the usage of actual health care services. Weaknesses: It is possible to identify episodes of health care use, but not the pathways of care (date of episode is not exactly recorded). There is a lack of data on diagnosis and limited socio-economic variables and coverage of outpatient care (ambulatory care in hospital settings is not covered). The database is not user-friendly as data management experise is needed in order to use the complex dataset.


  • The information about this dataset was compiled by the author:
  • Maria M. Hofmarcher
  • (see Partners)