1. Analyse von Routinedaten in der Gesundheitsforschung: Validität, Generalisierbarkeit und Herausforderungen.
- Author
-
Slagman, Anna, Hoffmann, Falk, Horenkamp-Sonntag, Dirk, Swart, Enno, Vogt, Verena, and Herrmann, Wolfram J.
- Subjects
- *
LITERATURE reviews , *FAMILY medicine , *GENERAL practitioners , *ACQUISITION of data , *MEDICAL care - Abstract
Background: Routine data such as claims data and health care documentation data are of increasing relevance in health services research—also in the field of general practice and family medicine. An increasing number of articles using these kind of data highlights the increasing relevance. Thus, it is essential for general practitioners (GPs) to know the strength and weaknesses of studies using routine data. Aim: The goal if this article is to empower readers to critically appraise articles based on routine data in a systematic and criteria-based fashion. Materials and methods: We used available guidelines and recommendations, a selective literature review, and our own expertise. Results: An advantage of routine data is that they are less cost intensive than primary data acquisition in prospective studies. Routine data have usually a lower selection bias; hence, they represent the reality of health care better than primarily acquired data. Another advantage is the high case numbers in routine data, which allows subgroup analyses even for low prevalent patient groups. Limitations are the restricted quality and validity of routine data. These limitations have to be addressed by measures of quality assurance such as internal and external validation. Conclusion: Routine data analyses are an important method in health care research. These analyses are especially good in researching everyday health care and analyzing subgroups with low prevalence. Results from routine data analyses should be reported transparently including the limitations of the study. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF