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Statistical presentation

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Personal Finances and Welfare, Social Statistics
Line Neerup Handlos
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lha@dst.dk

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Hospitalization

The statistics is an annual inventory of admissions to and out-patient treatments at public and private somatic and psychiatric hospital wards within one calendar year. The statistics show how hospital admissions varies with demographic and social factors, such as residence, sex, age and family etc.

Data description

The statistics cover admissions to and outpatient treatments at public and private somatic hospital wards within one calendar year. The statistics are based on the National Patient Register from Danish Health Data Authority combined with a number of background details from other registers. The statistics show e.g. how the use of hospitals varies with a range of sociodemographic factors.

Classification system

The following classifications are applied in connection with publication of Hospitalization statistics:

  • Diagnosis (the time-dominant main diagnosis during the hospitalization). Diagnoses are grouped according to the International Classifications of Diseases ICD - on aggregated 23 and 99 groups (the S list) from WHO. More on classification of diseases available on The SKS browser and the National Health Agency. In 2023, 2 new tables (respectively indl001 and ambu001) have been added for the years 2019-2022. These tables show data on 19 main diagnostic categories. The 19 main categories largely reflect the overall ICD10 main chapters or main diagnosis groupings seen at the Danish Health Data Agency The SKS browser and who.int at https://icd.who.int/browse10/2019/en#/XIX. The individual admission or individual outpatient visit is assigned a time-dominant ICD10 diagnosis code for the hospital stay, after which the dominant action diagnosis codes are divided into these 19 overall main diagnosis groups
  • Admissions (emergency, planned)
  • Out-patient treatment (emergency, planned)
  • Geography (municipalities and regions)
  • Public or private hospital
  • Hospital service type (somatics - psychiatry - both parts). The hospital stays can be categorized according to somatics, psychiatry or both (i.e. hospital stays where there has been physical attendance in both somatic and psychiatric hospital services)
  • Family type (children living at home; singles without children living at home; singles with children living at home; couples without children living at home; couples with children living at home)
  • Ancestry (persons of Danish origin; immigrants; descendants).

Sector coverage

Public and private somatic and psychiatric hospital wards.

Statistical concepts and definitions

Outpatient: A hospital stay of less than 12 hours total duration between the beginning and the end of the stay, and a maximum of 4 hours between each contact included in the hospitalization

Admission: A hospital stay where there is a minimum of 12 hours between the beginning and the end of the stay, and a maximum of 4 hours between each contact included in the hospitalization

Statistical unit

Persons.

Admissions.

Outpatient visits.

Statistical population

Physical attendance contacts (in the form of admissions or outpatient visits) at public and/or private somatic and psychiatric wards.

Reference area

Denmark

Time coverage

2019 -

Base period

Not relevant for these statistics.

Unit of measure

Number (of admissions or out-patient treatments or number of people using hospital services).

Reference period

The reference time is the calendar year in which the admission to hospital or the out-patient treatment took place.

Frequency of dissemination

Annually.

Legal acts and other agreements

Section 6 of the act on Statistics Denmark, cf. consolidating act no. 610 of 30 May 2008. There is no EU regulation concerning the Hospital Utilization Statistics.

Cost and burden

The statistics are based on administrative registers. There is therefore no direct reporting burden in connection with the calculation of these statistics.

Comment

Further information is available at: Statistics Denmark or by contacting Statistics Denmark.