Joint Programming Initiative

More Years, Better Lives

The Potential and Challenges of Demographic Change

The Hospital Benchmarking Database
Sairaaloiden toiminta ja tuottavuus (Benchmarking)

Topic
Health and Performance
Relevance for this Topic
Country Finland
URL
More Topics

Governance

Contact information

Pirjo Häkkinen
THL
THL, P.O. Box 30
FI-00271 Helsinki
Finland
Phone: +358 29 524 6000
Email: pirjo.hakkinen@thl.fi
Url: http://uusi.sotkanet.fi/portal/page/portal/etusivu

Timeliness, transparency


Type of data


Registry

Type of Study


Data are collected on an annual basis.

Data gathering method

Registries


Access to data

Conditions of access


Data linkage is allowed provided that the researcher has received permission from the authorities. Generally, user requests for individual level datasets are subject to tight review procedures before permission is granted and data retrieval often involve some costs.


Register data


SAS


Coverage


Data collected on an annual basis.


The Hospital Benchmarking Database contain key inpatient and outpatient data abstractions from the operative systems in hospitals (length of stay, in which ward etc.), patient (age, gender etc.) and medical data (main and additional diagnoses, selected treatments). Hospital, hospital specialty unit and regional level data are available for various indicators for activity/utilization: DRGs, bed-days, discharges,outpatient visits. The Hospital benchmarking database also contains total operating costs at hospital and hospital specialty level.


www.thl.fi/.../benchmarking


Linkage


Individual level data can be linked using the unique and national personal identification code. However, linkage requires substantial justification on behalf of researchers due to data protection protocols.


Data quality


The data quality has been considered good or satisfactory.


The data quality has been considered good or satisfactory.


The data quality has been considered good or satisfactory.


Applicability


Each data item refers to one hospital stay or visit. Whether one patient is hospitalised n times per quarter or whether n patients are hospitalised once can be easily distinguished. Linkage possibilities to other national registers using the unique personal identification is a major strength. However, the data contents in the minimum data set are fairly limited, clinical parameters, health behaviour data and other crucial risk adjustments/outcomes measures (e.g. QoL data) are missing.


  • The information about this dataset was compiled by the author:
  • Pasi Moisio
  • (see Partners)