Statistical presentation
Contact info
Welfare and Health, Social StatisticsJonas Kirchheiner-Rasmussen ras@dst.dk +45 39 17 34 93
+45 39 17 34 93
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The statistics cover visits to general practitioners and healthcare providers under the national health insurance. The statistics include the number of contacts, the associated fees, and the number of recipients.
Data description
The statistics compile the number of recipients, contacts, and expenses for treatments covered by the national health insurance over the course of a year. These are assessed with regard to gender, age, residence, origin, education, socioeconomic status, income level, family type, and medical specialty/type of service.
Classification system
In connection with publications, the following classifications of Visits to physicians etc. are applied:
- Medical specialty/type of service, aggregate (code for type of physician, and breakdown of consultations with GP) with 21-grouping
- Medical specialty/type of service (more detailed breakdown by medical specialists etc.) with 47-grouping
The applied grouping of specialties/service types is based on the divisions in the fee schedules Furthermore, other classifications from other sets of statistics are applied:
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Socio-economic status (self-employed persons; assisting spouses; chief executives; high-level employees; mid-level employees; ground-level employees; other employees; unemployed persons; students; retired persons and persons receiving early retirement benefit; persons outside the labour force; not stated). Note that socio-economic status was revised in the Register-based Labour Force Statistics released in May 2015, where a prioritisation has resulted in more students and fewer children. In Visits to physicians etc. 2014, the statistics broken down by socio-economic grouping are recalculated for 2009-2013.
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Income level (1st quartile; 2nd quartile; 3rd quartile; 4th quartile). Note: new version of The Income Register in the spring of 2015. In Visits to physicians etc. 2014, the statistics broken down by socio-economic grouping are recalculated for 2011-2013.
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Family type (singles without children in the home; singles with children in the home; couples without children in the home; couples with children in the home)
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Ancestry (persons of Danish origin; immigrants; descendants)
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Geography (municipalities; provinces; regions)
Sector coverage
Primary health care sector in Denmark.
Statistical concepts and definitions
Contact with health care providers under the national health insurance: Includes consultations, telephone and email communications, and home visits. However, other services, such as laboratory tests, as well as additional services provided in connection with a consultation, are not counted as a contact. This can mean that even if a larger number of individual services are billed during a consultation, it will still be recorded as one contact
Person with contact to health care providers under the national health insurance: A person who has had at least one contact with a healthcare provider under the national health insurance.
Public health insurance expenses: Expenses for providers covered by the national health insurance.
Statistical unit
- Number of persons with contact/visits to physicians
- Number of contacts/visits to physicians
- Public expenditures in DKK 1,000
- Contacts per person in the population
- Share of the population with contact
Statistical population
Contacts (visits to physicians etc. - including telephone and e-communication) in the primary public health service.
Reference area
Denmark.
Time coverage
The statistics cover the time period from 2006 and forward.
Base period
Not relevant for these statistics.
Unit of measure
- Number (contacts, persons)
- DKK 1,000 (expenditures)
- Contacts per person
- Share with contact
Reference period
The reference time is the year in which the service has been settled.
Frequency of dissemination
Yearly.
Legal acts and other agreements
There is no EU regulation concerning the statistics on visits to physicians etc.
Cost and burden
There is no response burden as the data are collected via the joint-municipal register for public health insurance.