TY - JOUR
T1 - Can We Cluster ICU Treatment Strategies for Traumatic Brain Injury by Hospital Treatment Preferences?
AU - Ceyisakar, Iris E.
AU - Huijben, Jilske A.
AU - Maas, Andrew I.R.
AU - Lingsma, Hester F.
AU - van Leeuwen, Nikki
AU - Åkerlund, Cecilia
AU - Amrein, Krisztina
AU - Andelic, Nada
AU - Andreassen, Lasse
AU - Anke, Audny
AU - Antoni, Anna
AU - Audibert, Gérard
AU - Azouvi, Philippe
AU - Azzolini, Maria Luisa
AU - Bartels, Ronald
AU - Barzó, Pál
AU - Beauvais, Romuald
AU - Beer, Ronny
AU - Bellander, Bo Michael
AU - Belli, Antonio
AU - Benali, Habib
AU - Berardino, Maurizio
AU - Beretta, Luigi
AU - Blaabjerg, Morten
AU - Bragge, Peter
AU - Brazinova, Alexandra
AU - Brinck, Vibeke
AU - Brooker, Joanne
AU - Brorsson, Camilla
AU - Buki, Andras
AU - Bullinger, Monika
AU - Cabeleira, Manuel
AU - Caccioppola, Alessio
AU - Calappi, Emiliana
AU - Calvi, Maria Rosa
AU - Cameron, Peter
AU - Lozano, Guillermo Carbayo
AU - Carbonara, Marco
AU - Cavallo, Simona
AU - Chevallard, Giorgio
AU - Chieregato, Arturo
AU - Citerio, Giuseppe
AU - Clusmann, Hans
AU - Coburn, Mark
AU - Coles, Jonathan
AU - Cooper, Jamie D.
AU - Correia, Marta
AU - Čović, Amra
AU - Curry, Nicola
AU - Gruen, Russell L.
N1 - Publisher Copyright:
© 2021, The Author(s).
PY - 2021/12/6
Y1 - 2021/12/6
N2 - Background: In traumatic brain injury (TBI), large between-center differences in treatment and outcome for patients managed in the intensive care unit (ICU) have been shown. The aim of this study is to explore if European neurotrauma centers can be clustered, based on their treatment preference in different domains of TBI care in the ICU. Methods: Provider profiles of centers participating in the Collaborative European Neurotrauma Effectiveness Research in TBI study were used to assess correlations within and between the predefined domains: intracranial pressure monitoring, coagulation and transfusion, surgery, prophylactic antibiotics, and more general ICU treatment policies. Hierarchical clustering using Ward’s minimum variance method was applied to group data with the highest similarity. Heat maps were used to visualize whether hospitals could be grouped to uncover types of hospitals adhering to certain treatment strategies. Results: Provider profiles were available from 66 centers in 20 different countries in Europe and Israel. Correlations within most of the predefined domains varied from low to high correlations (mean correlation coefficients 0.2–0.7). Correlations between domains were lower, with mean correlation coefficients of 0.2. Cluster analysis showed that policies could be grouped, but hospitals could not be grouped based on their preference. Conclusions: Although correlations between treatment policies within domains were found, the failure to cluster hospitals indicates that a specific treatment choice within a domain is not a proxy for other treatment choices within or outside the domain. These results imply that studying the effects of specific TBI interventions on outcome can be based on between-center variation without being substantially confounded by other treatments. Trial registration: We do not report the results of a health care intervention.
AB - Background: In traumatic brain injury (TBI), large between-center differences in treatment and outcome for patients managed in the intensive care unit (ICU) have been shown. The aim of this study is to explore if European neurotrauma centers can be clustered, based on their treatment preference in different domains of TBI care in the ICU. Methods: Provider profiles of centers participating in the Collaborative European Neurotrauma Effectiveness Research in TBI study were used to assess correlations within and between the predefined domains: intracranial pressure monitoring, coagulation and transfusion, surgery, prophylactic antibiotics, and more general ICU treatment policies. Hierarchical clustering using Ward’s minimum variance method was applied to group data with the highest similarity. Heat maps were used to visualize whether hospitals could be grouped to uncover types of hospitals adhering to certain treatment strategies. Results: Provider profiles were available from 66 centers in 20 different countries in Europe and Israel. Correlations within most of the predefined domains varied from low to high correlations (mean correlation coefficients 0.2–0.7). Correlations between domains were lower, with mean correlation coefficients of 0.2. Cluster analysis showed that policies could be grouped, but hospitals could not be grouped based on their preference. Conclusions: Although correlations between treatment policies within domains were found, the failure to cluster hospitals indicates that a specific treatment choice within a domain is not a proxy for other treatment choices within or outside the domain. These results imply that studying the effects of specific TBI interventions on outcome can be based on between-center variation without being substantially confounded by other treatments. Trial registration: We do not report the results of a health care intervention.
KW - Between-hospital variation
KW - Comparative effectiveness research
KW - Provider profiling
KW - Traumatic brain injury
UR - http://www.scopus.com/inward/record.url?scp=85130632973&partnerID=8YFLogxK
U2 - 10.1007/s12028-021-01386-y
DO - 10.1007/s12028-021-01386-y
M3 - Article
SN - 1541-6933
VL - 36
SP - 846
EP - 856
JO - Neurocritical Care
JF - Neurocritical Care
IS - 3
ER -