TY - JOUR
T1 - Predictors of Variation in Neurosurgical Supply Costs and Outcomes Across 4904 Surgeries at a Single Institution
AU - Zygourakis, Corinna C.
AU - Valencia, Victoria
AU - Boscardin, Christy
AU - Nayak, Rahul U.
AU - Moriates, Christopher
AU - Gonzales, Ralph
AU - Theodosopoulos, Philip
AU - Lawton, Michael T.
N1 - Funding Information:
Conflict of interest statement: Corinna C. Zygourakis: received travel grants to attend resident spine education courses from Nuvasive and Globus. Victoria Valencia: none. Christy Boscardin: none. Christopher Moriates: none. Rahul Nayak: None. Ralph Gonzales: none. Philip Theodosopoulos: received consulting payment from Stryker. Michael T Lawton: received speaker honoraria from Stryker, Depuy; consulting payments from Stryker. This work was supported by the Caring Wisely Program (a joint effort of UCSF Health and the UCSF Center for Healthcare Value) and the UCSF Center for Healthcare Value (fellowship to C.C.Z.).
Publisher Copyright:
© 2016 Elsevier Inc.
PY - 2016/12/1
Y1 - 2016/12/1
N2 - Background There is high variability in neurosurgical costs, and surgical supplies constitute a significant portion of cost. Anecdotally, surgeons use different supplies for various reasons, but there is little understanding of how supply choices affect outcomes. Our goal is to evaluate the effect of patient, procedural, and provider factors on supply cost and to determine if supply cost is associated with patient outcomes. Methods We obtained patient information (age, gender, payor, case mix index [CMI], body mass index, admission source), procedural data (procedure type, length, date), provider information (name, case volume), and total surgical supply cost for all inpatient neurosurgical procedures from 2013 to 2014 at our institution (n = 4904). We created mixed-effect models to examine the effect of each factor on surgical supply cost, 30-day readmission, and 30-day mortality. Results There was significant variation in surgical supply cost between and within procedure types. Older age, female gender, higher CMI, routine/elective admission, longer procedure, and larger surgeon volume were associated with higher surgical supply costs (P < 0.05). Routine/elective admission and higher surgeon volume were associated with lower readmission rates (odds ratio, 0.707, 0.998; P < 0.01). Change this sentence to: “Only patient factors of older age, male gender, private insurance, higher CMI, and emergency admission were associated with higher mortality (odds ratio, 1.029, 1.700, 1.692, 1.080, 2.809). There was no association between surgical supply cost and readmission or mortality (P = 0.307, 0.548). Conclusions A combination of patient, procedural, and provider factors underlie the significant variation in neurosurgical supply costs at our institution. Surgical supply costs are not correlated with 30-day readmission or mortality.
AB - Background There is high variability in neurosurgical costs, and surgical supplies constitute a significant portion of cost. Anecdotally, surgeons use different supplies for various reasons, but there is little understanding of how supply choices affect outcomes. Our goal is to evaluate the effect of patient, procedural, and provider factors on supply cost and to determine if supply cost is associated with patient outcomes. Methods We obtained patient information (age, gender, payor, case mix index [CMI], body mass index, admission source), procedural data (procedure type, length, date), provider information (name, case volume), and total surgical supply cost for all inpatient neurosurgical procedures from 2013 to 2014 at our institution (n = 4904). We created mixed-effect models to examine the effect of each factor on surgical supply cost, 30-day readmission, and 30-day mortality. Results There was significant variation in surgical supply cost between and within procedure types. Older age, female gender, higher CMI, routine/elective admission, longer procedure, and larger surgeon volume were associated with higher surgical supply costs (P < 0.05). Routine/elective admission and higher surgeon volume were associated with lower readmission rates (odds ratio, 0.707, 0.998; P < 0.01). Change this sentence to: “Only patient factors of older age, male gender, private insurance, higher CMI, and emergency admission were associated with higher mortality (odds ratio, 1.029, 1.700, 1.692, 1.080, 2.809). There was no association between surgical supply cost and readmission or mortality (P = 0.307, 0.548). Conclusions A combination of patient, procedural, and provider factors underlie the significant variation in neurosurgical supply costs at our institution. Surgical supply costs are not correlated with 30-day readmission or mortality.
KW - Cost analysis
KW - Neurosurgery
KW - Surgical outcomes
KW - Surgical supply costs
KW - Variation in cost
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U2 - 10.1016/j.wneu.2016.08.121
DO - 10.1016/j.wneu.2016.08.121
M3 - Article
C2 - 27613498
AN - SCOPUS:84988934343
SN - 1878-8750
VL - 96
SP - 177
EP - 183
JO - World Neurosurgery
JF - World Neurosurgery
ER -