CareLit Fachartikel

Incidence Estimation in Post-ICU Populations: Challenges and Possible Solutions When Using Claims Data

Brandl, M.; Apfelbacher, C.; Weiß, A.; Brandstetter, S.; Baumeister, S.E. · Das Gesundheitswesen · 2020 · Heft S 02 · S. S101 bis S107

Dokument
575764
CareLit-ID
Jahr
2020
Publikation
PDF
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Volltext
DOI
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Bibliografische Angaben

Zeitschrift
Das Gesundheitswesen
Autor:innen
Brandl, M.; Apfelbacher, C.; Weiß, A.; Brandstetter, S.; Baumeister, S.E.
Ausgabe
Heft S 02 / 2020
Jahrgang 82
Seiten
S101 bis S107
Erschienen: 2020-01-28 13:00:00
ISSN
0941-3790

Zusammenfassung

Background New or worsening cognitive, physical and/or mental health impairments after acute care for critical illness are referred to as “post-intensive care syndrome” (PICS). Little is known about the incidence of its components, since it is challenging to recruit patients after intensive care unit (ICU) treatment for observational studies. Claims data are particularly suited to achieve incidence estimates in difficult-to-recruit groups. However, some limitations remain when using claims data for empirical research on the outcome of ICU treatment. The objective of this article is to describe three challenges a…

Schlagworte

Diagnosis Germany After Bias Population Dementia Address Data Analysis Association Observation Accounting Depression Dialysis Datengenauigkeit Biostatistics Bibliography