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Related Concept Videos

Systematic Sampling Method01:17

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Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
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Sampling strategy, characteristics and representativeness of the InGef research database.

M Ludwig1, D Enders1, F Basedow1

  • 1InGef - Institute for Applied Health Research Berlin GmbH [Institut für angewandte Gesundheitsforschung Berlin GmbH], Germany.

Public Health
|April 4, 2022
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Summary
This summary is machine-generated.

The German InGef sample database accurately represents the German population in terms of demographics, hospitalization, and mortality rates, making it a valuable resource for health research.

Keywords:
Claims dataData sourcesExternal validityHealthcare databasesPharmacoepidemiology

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Area of Science:

  • Health services research
  • Epidemiology
  • Biostatistics

Background:

  • The German InGef research database provides longitudinal claims data for approximately 8.8 million individuals.
  • Establishing the representativeness of healthcare databases is crucial for reliable epidemiological studies.

Purpose of the Study:

  • To detail the sampling strategy for the InGef sample database.
  • To assess the characteristics and external validity of a representative sample of 4 million individuals from the InGef database.
  • To compare the sample database with national reference data for validation.

Main Methods:

  • Retrospective cohort study utilizing anonymized claims data from 2019.
  • A sample of 4 million individuals was drawn from the InGef database, aiming for representativeness in age, sex, and region.
  • Analysis included demographic data, hospitalization rates, mortality rates, and drug prescription rates, compared against national statistics.

Main Results:

  • The InGef sample closely mirrored the German population in sex distribution (50.8% vs 50.7% women) and mean age (44.1 vs 43.9 years).
  • A slightly lower proportion of individuals from eastern Germany were in the sample (16.5% vs 19.5%).
  • Hospitalization and mortality rates showed good agreement with national data; prescription rates for top drug classes were marginally higher.

Conclusions:

  • The InGef sample database demonstrates strong overall concordance with the German population.
  • The database is a valid and representative resource for studying morbidity, mortality, and drug usage in Germany.
  • Findings support the utility of the InGef sample database for health research and policy.