[Longitudinal analysis of utilization of inpatient treatment based on insurance data of mandatory health insurance].
OBJECTIVE
To investigate which of the routinely collected claims data from the German "Legal sickness funds" on hospital utilisation may be used, in addition to that prescribed by the legislator.


METHODS
We used claims data to study a cohort of sickness fund beneficiaries who were insured during the complete year 1992 (n = 81,309). Six utilisation parameters, using the number of cases and in hospital days overall as well as diseases specific (i.e. readmission rates, in-hospital days per person with [at least] one hospital stay) were calculated.


RESULTS
There are 88 persons with (at least) one hospital stay, 116 hospital cases and a total of 1306 in-hospital days per 1000 insured persons in the study cohort. The average hospital days per person (14.8 days) are ca. 30% higher than the average length of stay (11.2 days). Hospital utilisation increases with age. Hospital stays associated with ICD-239 (neoplasms of unknown origin) resulted in a higher than average number of hospital days in total although the mean length of stay is not above the average. This is due to a high readmission rate. Hospital stays associated with elective surgical procedures have a high prevalence rate but a low readmission ratio and short length of stay.


CONCLUSIONS
The parameters related to insured persons, cases and specifically personal parameters of hospital utilisation allow a detailed analysis of hospital care; different utilisation and user patterns can be investigated and possible determinants of utilisation can be identified. After technical transformation, routine data of the sickness funds can be used to obtain information relevant for health care planners as well as for quality management.
Dörning
H
H
Abteilung Epidemiologie und Sozialmedizin, Medizinische Hochschule Hannover.
Bitzer
E M
EM
Hofmann
W
W
Schwartz
F W
FW
D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D002648:Child; D002675:Child, Preschool; D005260:Female; D005858:Germany; D006801:Humans; D007223:Infant; D007345:Insurance Claim Review / Q000706:statistics & numerical data; D007350:Insurance, Hospitalization / Q000706:statistics & numerical data*; D007902:Length of Stay / Q000706:statistics & numerical data*; D008137:Longitudinal Studies; D008297:Male; D008875:Middle Aged; D009313:National Health Programs / Q000706:statistics & numerical data*; D009382:Neoplasms, Unknown Primary / Q000453:epidemiology; D010343:Patient Admission / Q000706:statistics & numerical data*; D010359:Patient Readmission / Q000706:statistics & numerical data; D013514:Surgical Procedures, Operative / Q000706:statistics & numerical data; D014600:Utilization Review
Längsschnittanalyse der Inanspruchnahme stationärer Krankenhausbehandlungen auf der Basis von Versichertendaten der gesetzlichen Krankenversicherung.