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Comparison of Approaches to Select a Propensity Score Matched Control Group in the Absence of an Obvious Start of Follow Up for this Group: An Example Study on the Economic Impact…

Jacob, J.; Schmedt, N.; Hickstein, L.; Galetzka, W.; Walker, J.; Enders, D. · Das Gesundheitswesen · 2019 · Heft S 02 · S. S151 bis S157

Dokument
575742
CareLit-ID
Jahr
2019
Publikation
PDF
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Volltext
DOI
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Bibliografische Angaben

Zeitschrift
Das Gesundheitswesen
Autor:innen
Jacob, J.; Schmedt, N.; Hickstein, L.; Galetzka, W.; Walker, J.; Enders, D.
Ausgabe
Heft S 02 / 2019
Jahrgang 81
Seiten
S151 bis S157
Erschienen: 2019-10-23 13:00:00
ISSN
0941-3790

Zusammenfassung

Background Claims data are a valuable data source to investigate the economic impact of new health care services. While the date of enrollment into the new service is an obvious start of follow-up for participants, the strategy to select potential controls is not straightforward due to a missing start of follow-up to ascertain possible confounders. The aim of this study was to compare different approaches to select controls via Propensity Score Matching (PSM) using the disease management program (DMP) bronchial asthma (BA) as an example. Methods We conducted a retrospective cohort study of BA patients between 20…

Schlagworte

Asthma Diagnosis After Database Berlin Asthma bronchiale Diabetes Mellitus Lead AIDS Ambulatory Care Comorbidity Population Bias Typ 2 Bibliography Deutschland