Accuracy and reliability

Overall accuracy

These statistics are based on administrative registers and the accuracy is estimated to be high. There's hence no sample uncertainty.

The combined uncertainty is primarily linked to:

• registration practices in SOR, hereunder the general practitioner creates their own information

• there's a risk of imprecise address information, as addresses are not validated systematically

• there can be a time delay in the update of changes

A few mistakes was identified in the data validation of SOR, and was handled manually.

There is no professional basis to assume there is a systematic over- or underestimation of the main result, but imprecise address can affect the distance calculations.

Sampling error

Not relevant for these statistics.

Non-sampling error

The most important uncertainty stems in the registration and maintenance of information in SOR.

Information in SOR is entered and updated by the health care units. The following issues might occur:

• updates are delayed or missing

• imprecise address

There is a 1-1 connection between the provider ids in SOR and those in the National health insurance register. Potential discrepancies are identified and handled in the data validation process.

In the data validation few mistakes where identified and handled.

Quality management

Statistics Denmark follows the recommendations on organisation and management of quality given in the Code of Practice for European Statistics (CoP) and the implementation guidelines given in the Quality Assurance Framework of the European Statistical System (QAF). A Working Group on Quality and a central quality assurance function have been established to continuously carry through control of products and processes.

Quality assurance

Statistics Denmark follows the principles in the Code of Practice for European Statistics (CoP) and uses the Quality Assurance Framework of the European Statistical System (QAF) for the implementation of the principles. This involves continuous decentralized and central control of products and processes based on documentation following international standards. The central quality assurance function reports to the Working Group on Quality. Reports include suggestions for improvement that are assessed, decided and subsequently implemented.

Quality assessment

These statistics are based on administrative data sources with full coverag. In the data validation minor unintended errors where discovered and manually corrected. There's a risk such corrections are not made correctly. The statistics is timely, as it covers an area of health statistics that, has not previously been made publicly accessible. In general the statistics is expected to meet user demands. It is however the expectation that there will be a demand for measurements on the distance to the chosen general practitioner for people in health insurance group 1. It will not be possible to meet this demand as a result of lacking data.

Data revision - policy

Statistics Denmark revises published figures in accordance with the Revision Policy for Statistics Denmark. The common procedures and principles of the Revision Policy are for some statistics supplemented by a specific revision practice.

Data revision practice

These statistics are new, hence no revisions have currently been made.