PuSH - Publikationsserver des Helmholtz Zentrums München

The effect of bariatric surgery on health care costs: A synthetic control approach using Bayesian structural time series.

Health Econ. 28, 1293-1307 (2019)
Verlagsversion Verlagsversion DOI PMC
Open Access Hybrid
Creative Commons Lizenzvertrag
Surgical measures to combat obesity are very effective in terms of weight loss, recovery from diabetes, and improvement in cardiovascular risk factors. However, previous studies found both positive and negative results regarding the effect of bariatric surgery on health care utilization. Using claims data from the largest health insurance provider in Germany, we estimated the causal effect of bariatric surgery on health care costs in a time period ranging from 2 years before to 3 years after bariatric intervention. Owing to the absence of a control group, we employed a Bayesian structural forecasting model to construct a synthetic control. We observed a decrease in medication and physician expenditures after bariatric surgery, whereas hospital expenditures increased in the post-intervention period. Overall, we found a slight increase in total costs after bariatric surgery, but our estimates include a high degree of uncertainty.
Impact Factor
Scopus SNIP
Scopus
Cited By
Altmetric
2.027
1.276
5
Tags
Anmerkungen
Besondere Publikation
Auf Hompepage verbergern

Zusatzinfos bearbeiten
Eigene Tags bearbeiten
Privat
Eigene Anmerkung bearbeiten
Privat
Auf Publikationslisten für
Homepage nicht anzeigen
Als besondere Publikation
markieren
Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Bariatric Surgery ; Bayesian Structural Model ; Obesity ; Synthetic Controls ; Time Series
Sprache englisch
Veröffentlichungsjahr 2019
HGF-Berichtsjahr 2019
ISSN (print) / ISBN 1057-9230
e-ISSN 1099-1050
Zeitschrift Health Economics
Quellenangaben Band: 28, Heft: 11, Seiten: 1293-1307 Artikelnummer: , Supplement: ,
Verlag Wiley
Begutachtungsstatus Peer reviewed
POF Topic(s) 30202 - Environmental Health
80000 - German Center for Lung Research
Forschungsfeld(er) Genetics and Epidemiology
PSP-Element(e) G-505300-002
G-501800-533
Scopus ID 85071763930
PubMed ID 31489749
Erfassungsdatum 2019-09-26