Interhospital Variations in Resource Use Intensity for In-hospital Injury Deaths

Autor: Imen Farhat, Julien Clément, François Lauzier, Henry T. Stelfox, Alexis F. Turgeon, Teegwendé V. Porgo, Coralie Assy, Amina Belcaid, Simon Berthelot, Belinda J. Gabbe, Lynne Moore
Rok vydání: 2020
Předmět:
Zdroj: Annals of Surgery. 275:e107-e114
ISSN: 1528-1140
0003-4932
DOI: 10.1097/sla.0000000000003922
Popis: OBJECTIVE Evaluate interhospital variation in resource use for in-hospital injury deaths. BACKGROUND Significant variation in resource use for end-of-life care has been observed in the US for chronic diseases. However, there is an important knowledge gap on end-of-life resource use for trauma patients. METHODS We conducted a multicenter, retrospective cohort study of injury deaths following hospitalization in any of the 57 trauma centers in a Canadian trauma system (2013-2016). Resource use intensity was measured using activity-based costing (2016 $CAN) according to time of death (72 h, 3-14 d, ≥14 d). We used multilevel log-linear regression to model resource use and estimated interhospital variation using intraclass correlation coefficients (ICC). RESULTS Our study population comprised 2044 injury deaths. Variation in resource use between hospitals was observed for all 3 time frames (ICC = 6.5%, 6.6%, and 5.9% for < 72 h, 3-14 d, and ≥14 d, respectively). Interhospital variation was stronger for allied health services (ICC = 18 to 26%), medical imaging (ICC = 4 to 10%), and the ICU (ICC = 5 to 6%) than other activity centers. We observed stronger interhospital variation for patients < 65 years of age (ICC = 11 to 34%) than those ≥65 (ICC = 5 to 6%) and for traumatic brain injury (ICC = 5 to 13%) than other injuries (ICC = 1 to 8%). CONCLUSIONS We observed variation in resource use intensity for injury deaths across trauma centers. Strongest variation was observed for younger patients and those with traumatic brain injury. Results may reflect variation in level of care decisions and the incidence of withdrawal of life-sustaining therapies.
Databáze: OpenAIRE