The Experts below are selected from a list of 306 Experts worldwide ranked by ideXlab platform
Rowena Jacobs - One of the best experts on this subject based on the ideXlab platform.
-
Do waiting times reduce Hospital Costs
Journal of health economics, 2009Co-Authors: Luigi Siciliani, Anderson Stanciole, Rowena JacobsAbstract:Using a sample of 137 Hospitals over the period 1998-2002 in the English National Health Service, we estimate the elasticity of Hospital Costs with respect to waiting times. Our cross-sectional and panel-data results suggest that at the sample mean (103 days), waiting times have no significant effect on Hospitals' Costs or, at most, a positive one. If significant, the elasticity of cost with respect to waiting time from our cross-sectional estimates is in the range 0.4-1. The elasticity is still positive but lower in our fixed-effects specifications (0.2-0.4). In all specifications, the effect of waiting time on cost is non-linear, suggesting a U-shaped relationship between Hospital Costs and waiting times. However, the level of waiting time which minimises total Costs is always below ten days.
-
Do waiting times reduce Hospital Costs
2008Co-Authors: Luigi Siciliani, Anderson Stanciole, Rowena JacobsAbstract:Using a sample of 137 Hospitals over the period 1998-2002 in the English National Health Service, we estimate the elasticity of Hospital Costs with respect to waiting times. Our cross-sectional and panel-data results suggest that at the sample mean (103 days), waiting times have no significant effect on Hospital, Costs or, at most, a positive one. If significant, the elasticity of cost with respect to waiting time from our cross-sectional estimates is in the range 0.4-1. The elasticity is still positive but lower in our fixed-effects specifications (0.2-0.4). In all specifications, the effect of waiting time on cost is non-linear, suggesting a U-shaped relationship between Hospital Costs and waiting times: the level of waiting time which minimises total Costs is always below ten days.
William A. Ghali - One of the best experts on this subject based on the ideXlab platform.
-
association of postoperative complications with Hospital Costs and length of stay in a tertiary care center
Journal of General Internal Medicine, 2006Co-Authors: Nadia A. Khan, Jennifer M Bugar, Jane B Lemaire, Hude Quan, Rollin Brant, William A. GhaliAbstract:BACKGROUND: Postoperative complications are a significant source of morbidity and mortality. There are limited studies, however, assessing the impact of common postoperative complications on health care resource utilization. OBJECTIVE: To assess the association of clinically important postoperative complications with total Hospital Costs and length of stay (LOS) in patients undergoing noncardiac surgery. METHODS: We determined total Hospital Costs and LOS in all patients admitted to a single tertiary care center between July 1, 1996 and March 31, 1998 using a detailed administrative Hospital discharge database. Total Hospital Costs and LOS were adjusted for preoperative and surgical characteristics. RESULTS: Of 7,457 patients who underwent noncardiac surgery, 6.9% developed at least 1 of the postoperative complications. These complications increased Hospital Costs by 78% (95% confidence interval [CI]: 68% to 90%) and LOS by 114% (95% CI: 100% to 130%) after adjustment for patient preoperative and surgical characteristics. Postoperative pneumonia was the most common complication (3%) and was associated with a 55% increase in Hospital Costs (95% CI: 42% to 69%) and an 89% increase in LOS (95% CI: 70% to 109%). CONCLUSIONS: Postoperative complications consume considerable health care resources. Initiatives targeting prevention of these events could significantly reduce overall Costs of care and improve patient quality of care.
-
association of postoperative complications with Hospital Costs and length of stay in a tertiary care center
Journal of General Internal Medicine, 2006Co-Authors: Nadia A. Khan, Jennifer M Bugar, Jane B Lemaire, Hude Quan, Rollin Brant, William A. GhaliAbstract:BACKGROUND: Postoperative complications are a significant source of morbidity and mortality. There are limited studies, however, assessing the impact of common postoperative complications on health care resource utilization. OBJECTIVE: To assess the association of clinically important postoperative complications with total Hospital Costs and length of stay (LOS) in patients undergoing noncardiac surgery. METHODS: We determined total Hospital Costs and LOS in all patients admitted to a single tertiary care center between July 1, 1996 and March 31, 1998 using a detailed administrative Hospital discharge database. Total Hospital Costs and LOS were adjusted for preoperative and surgical characteristics. RESULTS: Of 7,457 patients who underwent noncardiac surgery, 6.9% developed at least 1 of the postoperative complications. These complications increased Hospital Costs by 78% (95% confidence interval [CI]: 68% to 90%) and LOS by 114% (95% CI: 100% to 130%) after adjustment for patient preoperative and surgical characteristics. Postoperative pneumonia was the most common complication (3%) and was associated with a 55% increase in Hospital Costs (95% CI: 42% to 69%) and an 89% increase in LOS (95% CI: 70% to 109%). CONCLUSIONS: Postoperative complications consume considerable health care resources. Initiatives targeting prevention of these events could significantly reduce overall Costs of care and improve patient quality of care.
Griet Van Belleghem - One of the best experts on this subject based on the ideXlab platform.
-
Determinants and Variations of Hospital Costs in Patients With Lumbar Radiculopathy Hospitalized for Spinal Surgery.
Spine, 2019Co-Authors: Eva Huysmans, Karen Pien, Lieselot Callens, Lesley Van Loon, Kelly Ickmans, Jo Nijs, Ronald Buyl, Maarten Moens, Lisa Goudman, Griet Van BelleghemAbstract:STUDY DESIGN A retrospective study. OBJECTIVE The aim of this study was to determine Hospital Costs related to surgery for lumbar radiculopathy and identify determinants of intramural Costs based on minimal Hospital and claims data. SUMMARY OF BACKGROUND DATA Costs related to the initial Hospitalization of patients undergoing surgery for lumbar radiculopathy make up the major part of direct health care expenditure in this population. Identifying factors influencing intramural Costs can be beneficial for health care policy makers, and clinicians working with patients with lumbar radiculopathy. METHODS The following data were collected from the University Hospital Brussels data warehouse for all patients undergoing surgery for lumbar radiculopathy in 2016 (n = 141): age, sex, primary diagnosis, secondary diagnoses, type of surgery, severity of illness (SOI), admission and discharge date, type of Hospital admission, and all claims incurred for the particular Hospital stay. Descriptive statistics for total Hospital Costs were performed. Univariate analyses were executed to explore associations between Hospital Costs and all other variables. Those showing a significant association (P
-
Variations in Hospital Costs after traffic injuries: The importance of sociodemographic aspects and comorbidities
Injury, 2017Co-Authors: Stefanie Devos, Griet Van Belleghem, Karen Pien, Ives Hubloue, Isidoor Lauwaert, Tom Van Lier, Lieven Annemans, Koen PutmanAbstract:Abstract Objective The impact of sociodemographic aspects and comorbidities on the inpatient Hospital care Costs of traffic victims are not clear. The main goal of this study is to provide insights into the sociodemographic characteristics and clinical conditions (including comorbidities) of the victims that result in higher Hospital Costs. Participants For the period 2009–2011, people admitted to a Hospital as a result of a road traffic crash (N = 64,304) were identified in the national Minimal Hospital Dataset, after which they were linked to their respective claims data from the sickness funds. Methods A generalized linear model was used to analyse Hospital Costs controlling for roadway user categories, demographics (gender, age, individual socioeconomic status (SES)), and clinical factors (the nature, location, and severity of injury, and comorbidities). Results The median Hospital cost was € 2801 (IQR € 1510–€ 7175, 2015 Euros). There was no significant difference between gender. Low SES inpatients incurred 16% (95% CI: 14%–18%) higher Hospital Costs than inpatients of high SES. The presence of comorbidities was associated with an increased Hospital cost, however with varying magnitude. For example traffic victims suffering from dementia incur significantly higher Hospital Costs than those who were not (49% higher, 95% CI: 44%–53%), whereas diabetes was associated with a smaller increase in Costs compared to non-diabetics (13%, 95% CI: 10%–16%). Conclusion Comorbidities and low SES are associated with higher Hospital Costs for traffic victims, notwithstanding their age, and the nature and the severity of their injury. The broad variability of Hospital Costs among trauma inpatients should be accounted for when reconsidering financing models. Furthermore, the strong predictive value of some comorbidities and SES on Hospital Costs should be considered when projections of future health care utilisation in traffic safety scenarios are prepared.
Luigi Siciliani - One of the best experts on this subject based on the ideXlab platform.
-
Do waiting times reduce Hospital Costs
Journal of health economics, 2009Co-Authors: Luigi Siciliani, Anderson Stanciole, Rowena JacobsAbstract:Using a sample of 137 Hospitals over the period 1998-2002 in the English National Health Service, we estimate the elasticity of Hospital Costs with respect to waiting times. Our cross-sectional and panel-data results suggest that at the sample mean (103 days), waiting times have no significant effect on Hospitals' Costs or, at most, a positive one. If significant, the elasticity of cost with respect to waiting time from our cross-sectional estimates is in the range 0.4-1. The elasticity is still positive but lower in our fixed-effects specifications (0.2-0.4). In all specifications, the effect of waiting time on cost is non-linear, suggesting a U-shaped relationship between Hospital Costs and waiting times. However, the level of waiting time which minimises total Costs is always below ten days.
-
Do waiting times reduce Hospital Costs
2008Co-Authors: Luigi Siciliani, Anderson Stanciole, Rowena JacobsAbstract:Using a sample of 137 Hospitals over the period 1998-2002 in the English National Health Service, we estimate the elasticity of Hospital Costs with respect to waiting times. Our cross-sectional and panel-data results suggest that at the sample mean (103 days), waiting times have no significant effect on Hospital, Costs or, at most, a positive one. If significant, the elasticity of cost with respect to waiting time from our cross-sectional estimates is in the range 0.4-1. The elasticity is still positive but lower in our fixed-effects specifications (0.2-0.4). In all specifications, the effect of waiting time on cost is non-linear, suggesting a U-shaped relationship between Hospital Costs and waiting times: the level of waiting time which minimises total Costs is always below ten days.
Nadia A. Khan - One of the best experts on this subject based on the ideXlab platform.
-
association of postoperative complications with Hospital Costs and length of stay in a tertiary care center
Journal of General Internal Medicine, 2006Co-Authors: Nadia A. Khan, Jennifer M Bugar, Jane B Lemaire, Hude Quan, Rollin Brant, William A. GhaliAbstract:BACKGROUND: Postoperative complications are a significant source of morbidity and mortality. There are limited studies, however, assessing the impact of common postoperative complications on health care resource utilization. OBJECTIVE: To assess the association of clinically important postoperative complications with total Hospital Costs and length of stay (LOS) in patients undergoing noncardiac surgery. METHODS: We determined total Hospital Costs and LOS in all patients admitted to a single tertiary care center between July 1, 1996 and March 31, 1998 using a detailed administrative Hospital discharge database. Total Hospital Costs and LOS were adjusted for preoperative and surgical characteristics. RESULTS: Of 7,457 patients who underwent noncardiac surgery, 6.9% developed at least 1 of the postoperative complications. These complications increased Hospital Costs by 78% (95% confidence interval [CI]: 68% to 90%) and LOS by 114% (95% CI: 100% to 130%) after adjustment for patient preoperative and surgical characteristics. Postoperative pneumonia was the most common complication (3%) and was associated with a 55% increase in Hospital Costs (95% CI: 42% to 69%) and an 89% increase in LOS (95% CI: 70% to 109%). CONCLUSIONS: Postoperative complications consume considerable health care resources. Initiatives targeting prevention of these events could significantly reduce overall Costs of care and improve patient quality of care.
-
association of postoperative complications with Hospital Costs and length of stay in a tertiary care center
Journal of General Internal Medicine, 2006Co-Authors: Nadia A. Khan, Jennifer M Bugar, Jane B Lemaire, Hude Quan, Rollin Brant, William A. GhaliAbstract:BACKGROUND: Postoperative complications are a significant source of morbidity and mortality. There are limited studies, however, assessing the impact of common postoperative complications on health care resource utilization. OBJECTIVE: To assess the association of clinically important postoperative complications with total Hospital Costs and length of stay (LOS) in patients undergoing noncardiac surgery. METHODS: We determined total Hospital Costs and LOS in all patients admitted to a single tertiary care center between July 1, 1996 and March 31, 1998 using a detailed administrative Hospital discharge database. Total Hospital Costs and LOS were adjusted for preoperative and surgical characteristics. RESULTS: Of 7,457 patients who underwent noncardiac surgery, 6.9% developed at least 1 of the postoperative complications. These complications increased Hospital Costs by 78% (95% confidence interval [CI]: 68% to 90%) and LOS by 114% (95% CI: 100% to 130%) after adjustment for patient preoperative and surgical characteristics. Postoperative pneumonia was the most common complication (3%) and was associated with a 55% increase in Hospital Costs (95% CI: 42% to 69%) and an 89% increase in LOS (95% CI: 70% to 109%). CONCLUSIONS: Postoperative complications consume considerable health care resources. Initiatives targeting prevention of these events could significantly reduce overall Costs of care and improve patient quality of care.
