Delayed Operating Room Availability Significantly Impacts The Total Hospital Costs Of An Urgent Surgical Procedure

2011 ◽  
Vol 165 (2) ◽  
pp. 332
Author(s):  
R. Dhupar ◽  
J. Evankovich ◽  
J.R. Klune ◽  
L.G. Vargas ◽  
S.J. Hughes
Surgery ◽  
2011 ◽  
Vol 150 (2) ◽  
pp. 299-305 ◽  
Author(s):  
Rajeev Dhupar ◽  
John Evankovich ◽  
John R. Klune ◽  
Luis G. Vargas ◽  
Steven J. Hughes

1997 ◽  
Vol 86 (1) ◽  
pp. 92-100 ◽  
Author(s):  
Alex Macario ◽  
Terry S. Vitez ◽  
Brian Dunn ◽  
Tom McDonald ◽  
Byron Brown

Background If patients who are more severely ill have greater hospital costs for surgery, then health-care reimbursements need to be adjusted appropriately so that providers caring for more seriously ill patients are not penalized for incurring higher costs. The authors' goal for this study was to determine if severity of illness, as measured by either the American Society of Anesthesiologists Physical Status (ASA PS) or the comorbidity index developed by Charlson, can predict anesthesia costs, operating room costs, total hospital costs, or length of stay for elective surgery. Methods The authors randomly selected 224 inpatients (60% sampling fraction) having either colectomy (n = 30), total knee replacement (n = 100), or laparoscopic cholecystectomy (n = 94) from September 1993 to September 1994. For each surgical procedure, backward-elimination multiple regression was used to build models to predict (1) total hospital costs, (2) operating room costs, (3) anesthesia costs, and (4) length of stay. Explanatory candidate variables included patient age (years), sex, ASA PS, Charlson comorbidity index (which weighs the number and seriousness of coexisting diseases), and type of insurance (Medicare/Medicaid, managed care, or indemnity). These analyses were repeated for the pooled data of all 224 patients. Costs (not patient charges) were obtained from the hospital cost accounting software. Results Mean total hospital costs were $3,778 (95% confidence interval +/- 299) for laparoscopic cholecystectomy, $13,614 (95% CI +/- 3,019) for colectomy, and $18,788 (95% CI +/- 573) for knee replacement. The correlation (r) between ASA PS and Charlson comorbidity scores equaled 0.34 (P < .001). No consistent relation was found between hospital costs and either of the two severity-of-illness indices. The Charlson comorbidity index (but not the ASA PS) predicted hospital costs only for knee replacement (P = .003). The ASA PS, but not the Charlson index, predicted operating room and anesthesia costs only for colectomy (P < .03). Conclusions Severity of illness, as categorized by ASA PS categories 1-3 or by the Charlson comorbidity index, was not a consistent predictor of hospital costs and lengths of stay for three types of elective surgery. Hospital resources for these lower-risk elective procedures may be expended primarily to manage the consequences of the surgical disease, rather than to manage the patient's coexisting diseases.


1997 ◽  
Vol 87 (Supplement) ◽  
pp. 1017A
Author(s):  
Douglas Hansell ◽  
Michael Long ◽  
Robert Seger

Author(s):  
Stephen Thomas ◽  
Ankur Patel ◽  
Corey Patrick ◽  
Gary Delhougne

AbstractDespite advancements in surgical technique and component design, implant loosening, stiffness, and instability remain leading causes of total knee arthroplasty (TKA) failure. Patient-specific instruments (PSI) aid in surgical precision and in implant positioning and ultimately reduce readmissions and revisions in TKA. The objective of the study was to evaluate total hospital cost and readmission rate at 30, 60, 90, and 365 days in PSI-guided TKA patients. We retrospectively reviewed patients who underwent a primary TKA for osteoarthritis from the Premier Perspective Database between 2014 and 2017 Q2. TKA with PSI patients were identified using appropriate keywords from billing records and compared against patients without PSI. Patients were excluded if they were < 21 years of age; outpatient hospital discharges; evidence of revision TKA; bilateral TKA in same discharge or different discharges. 1:1 propensity score matching was used to control patients, hospital, and clinical characteristics. Generalized Estimating Equation model with appropriate distribution and link function were used to estimate hospital related cost while logistic regression models were used to estimate 30, 60, and 90 days and 1-year readmission rate. The study matched 3,358 TKAs with PSI with TKA without PSI patients. Mean total hospital costs were statistically significantly (p < 0.0001) lower for TKA with PSI ($14,910; 95% confidence interval [CI]: $14,735–$15,087) than TKA without PSI patients ($16,018; 95% CI: $15,826–$16,212). TKA with PSI patients were 31% (odds ratio [OR]: 0.69; 95% CI: 0.51–0.95; p-value = 0.0218) less likely to be readmitted at 30 days; 35% (OR: 0.65; 95% CI: 0.50–0.86; p-value = 0.0022) less likely to be readmitted at 60 days; 32% (OR: 0.68; 95% CI: 0.53–0.88; p-value = 0.0031) less likely to be readmitted at 90 days; 28% (OR: 0.72; 95% CI: 0.60–0.86; p-value = 0.0004) less likely to be readmitted at 365 days than TKA without PSI patients. Hospitals and health care professionals can use retrospective real-world data to make informed decisions on using PSI to reduce hospital cost and readmission rate, and improve outcomes in TKA patients.


Author(s):  
Eileen Fonseca ◽  
David R Walker ◽  
Gregory P Hess

Background: Warfarin and dabigatran etexilate (DE) are oral anticoagulants (OAC) used to reduce the risk of stroke among patients with nonvalvular atrial fibrillation (AF). However, DE does not require titration and INR monitoring. This study examined whether hospital length of stay (LOS) and total hospital costs differed between the two therapies among treatment-naive, newly-diagnosed AF patients. Methods: LOS and total hospital costs were evaluated for hospitalizations with a primary or secondary discharge diagnosis of atrial fibrillation (AF) between 1/1/2011-3/31/2012, with DE or warfarin administered during hospitalization, and excluding hospitalizations of patients with valvular AF, previously diagnosed with AF, or previously treated with OAC. Hospitalizations were identified from a Charge Detail Masters database containing 397 qualified hospitals. Samples were propensity score matched using nearest neighbor within a caliper of 0.20 standard deviations of the logit, without replacement and a 2:1 match. Differences in LOS and hospital cost were then estimated using generalized linear models, fitted by generalized estimating equations (clustered by hospital) to account for possible correlation between observations. The hospitalization’s charged amount was multiplied by the hospital’s inpatient cost-to-charge ratio to estimate the total hospital cost. Covariates estimating the propensity score, LOS, and costs included patient age, payer type, CHADS 2 and HAS-BLED scores, use of bridging agents, comorbid conditions, and hospital attributes. As a sensitivity analysis, LOS and costs were estimated with the same parameters and covariates among the raw, unbalanced sample. Results: Matched samples included 1,292 warfarin and 646 DE hospitalizations of treatment-naive, newly diagnosed patients out of 4,619 and 715 hospitalizations, respectively. No covariates used in matching had standardized mean differences > 10% after matching. Two comorbidities (thromboembolism, coronary artery disease) had statistically different distributions after matching (DE: 3% vs. warfarin: 8%, p<0.001 and DE: 40% vs. warfarin: 45%, p=0.048); these were included as model covariates. Among the sample, DE had an estimated 0.7 days shorter stay compared to warfarin (DE: 4.8 days vs. warfarin: 5.5 days, p<0.01) and a $2,031 lower estimated total cost (DE: $14,794 vs warfarin: $16,826, p=0.007). Sensitivity analysis confirmed a shorter DE LOS (DE: 5.5 days vs. warfarin: 6.6 days, delta=1.1 days, p<0.01) and a lower DE hospital cost (DE: $18,362 vs. warfarin: $22,602, delta=$4,240, p<0.01). Conclusions: Among hospitalizations of treatment-naive patients newly diagnosed with nonvalvular AF, the hospitalizations during which DE was administered had a shorter LOS and at least a 12% lower total hospital cost compared to hospitalizations where warfarin was administered.


2018 ◽  
Vol 7 (9) ◽  
pp. 227
Author(s):  
Tak Oh ◽  
Jung-Won Hwang ◽  
Young-Tae Jeon ◽  
Sang-Hwan Do

Positive fluid balance (FB) during the perioperative period may increase the incidence of postoperative complications, which may lead to longer hospitalization and higher hospital costs. However, a definitive association between positive FB and hospital costs has not yet been established. This retrospective observational study examined the association between perioperative FB and hospital costs of patients who underwent major surgical procedures. Medical records of patients who underwent major surgery (surgery time >2 h, estimated blood loss >500 mL) from January 2010 to December 2017 were analyzed to determine the associations between calculated FB (%, total input fluid—output fluid in liter/weight (kg) at admission) and total hospital cost ($). The analysis included medical data of 7010 patients. Multivariable linear regression analyses showed that a 1% increase in FB in postoperative day (POD) 0 (24 h), 0–1 (48 h), 0–2 (72 h), and 0–3 (96 h) significantly increased the total cost by $967.8 (95% confidence interval [CI]: 803.4–1132.1), $688.8 (95% CI: 566.3–811.2), $591 (95% CI: 485.7–696.4), and $434.2 (95% CI: 349.4–519.1), respectively (all p < 0.001). Perioperative cumulative FB was positively associated with hospital costs of patients who underwent major surgery.


2019 ◽  
Vol 131 (3) ◽  
pp. 903-910 ◽  
Author(s):  
Jian Guan ◽  
Michael Karsy ◽  
Andrea A. Brock ◽  
William T. Couldwell ◽  
John R. W. Kestle ◽  
...  

OBJECTIVEOverlapping surgery remains a controversial topic in the medical community. Although numerous studies have examined the safety profile of overlapping operations, there are few data on its financial impact. The authors assessed direct hospital costs associated with neurosurgical operations during periods before and after a more stringent overlapping surgery policy was implemented.METHODSThe authors retrospectively reviewed the records of nonemergency neurosurgical operations that took place during the periods from June 1, 2014, to October 31, 2014 (pre–policy change), and from June 1, 2016, to October 31, 2016 (post–policy change), by any of the 4 senior neurosurgeons authorized to perform overlapping cases during both periods. Cost data as well as demographic, surgical, and hospitalization-related variables were obtained from an institutional tool, the Value-Driven Outcomes database.RESULTSA total of 625 hospitalizations met inclusion criteria for cost analysis; of these, 362 occurred prior to the policy change and 263 occurred after the change. All costs were reported as a proportion of the average total hospitalization cost for the entire cohort. There was no significant difference in mean total hospital costs between the prechange and postchange period (0.994 ± 1.237 vs 1.009 ± 0.994, p = 0.873). On multivariate linear regression analysis, neither the policy change (p = 0.582) nor the use of overlapping surgery (p = 0.273) was significantly associated with higher total hospital costs.CONCLUSIONSA more restrictive overlapping surgery policy was not associated with a reduction in the direct costs of hospitalization for neurosurgical procedures.


PEDIATRICS ◽  
1973 ◽  
Vol 51 (5) ◽  
pp. 840-848
Author(s):  
Eli H. Newberger ◽  
John J. Hagenbuch ◽  
Nancy B. Ebeling ◽  
Elizabeth Pivchik Colligan ◽  
Jane S. Sheehan ◽  
...  

Social service personnel from one public and two voluntary agencies were integrated into a consultation group in an academic pediatric hospital, leading to a reduction in the actual cost of medical services and the risk of reinjury subsequent to the diagnosis of child abuse. In the 1969-1970 hospital year, 62 cases of child abuse were seen, of which 39 were hospitalized. The average hospital stay was 29 days; the average hospital cost $3,000. Total hospital costs for the 39 cases were $123,000, of which bed costs made up $95,000. There were at least three subsequent incidents of child abuse in these 39 cases, and there was one subsequent death; the reinjury rate was 10% for hospitalized cases. In September 1970 the Trauma X Group, an interdisciplinary, interagency consultation unit based in the hospital, was formed. With formal consultation and continued surveillance after discharge by the Trauma X Group, the following data were obtained from the 1970-1971 hospital year. Of 86 cases, 60 were hospitalized. The average hospital stay was 17 days; the average hospital cost $2,500. Total hospital costs for the 60 cases was $150,000, of which bed costs made up $101,000. There was one incident of reinjury and no deaths subsequent to diagnosis in these 60 cases; the reinjury rate was 1.7%. The risk of reinjury calculated from a modified life table was reduced from 8% in the year previous to the formation of the group to 7% and 2%, respectively, in the subsequent year and six-month periods, supporting the dollar-cost impression of effectiveness. Foster placement, furthermore, was infrequent and does not explain the differential impact of the Trauma X Group in the intervals under study.


2018 ◽  
Vol 128 (5) ◽  
pp. 880-890 ◽  
Author(s):  
Atul Gupta ◽  
Junaid Nizamuddin ◽  
Dalia Elmofty ◽  
Sarah L. Nizamuddin ◽  
Avery Tung ◽  
...  

Abstract Background Although opioids remain the standard therapy for the treatment of postoperative pain, the prevalence of opioid misuse is rising. The extent to which opioid abuse or dependence affects readmission rates and healthcare utilization is not fully understood. It was hypothesized that surgical patients with a history of opioid abuse or dependence would have higher readmission rates and healthcare utilization. Methods A retrospective cohort analysis was performed of patients undergoing major operating room procedures in 2013 and 2014 using the National Readmission Database. Patients with opioid abuse or dependence were identified using International Classification of Diseases codes. The primary outcome was 30-day hospital readmission rate. Secondary outcomes included hospital length of stay and estimated hospital costs. Results Among the 16,016,842 patients who had a major operating room procedure whose death status was known, 94,903 (0.6%) had diagnoses of opioid abuse or dependence. After adjustment for potential confounders, patients with opioid abuse or dependence had higher 30-day readmission rates (11.1% vs. 9.1%; odds ratio 1.26; 95% CI, 1.22 to 1.30), longer mean hospital length of stay at initial admission (6 vs. 4 days; P &lt; 0.0001), and higher estimated hospital costs during initial admission ($18,528 vs. $16,617; P &lt; 0.0001). Length of stay was also higher at readmission (6 days vs. 5 days; P &lt; 0.0001). Readmissions for infection (27.0% vs. 18.9%; P &lt; 0.0001), opioid overdose (1.0% vs. 0.1%; P &lt; 0.0001), and acute pain (1.0% vs. 0.5%; P &lt; 0.0001) were more common in patients with opioid abuse or dependence. Conclusions Opioid abuse and dependence are associated with increased readmission rates and healthcare utilization after surgery.


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