The Experts below are selected from a list of 439767 Experts worldwide ranked by ideXlab platform

Anne F. Mannion - One of the best experts on this subject based on the ideXlab platform.

  • Non-Medical Factors significantly influence the length of hospital stay after surgery for degenerative spine disorders
    European Spine Journal, 2020
    Co-Authors: D. Mai, Christian Brand, Daniel Haschtmann, T. Pirvu, Tamas F. Fekete, Anne F. Mannion
    Abstract:

    Background Unnecessarily long hospital stays are costly and inefficient. Studies have shown that the length of hospital stay (LOS) for spine surgical procedures is influenced by various disease-related or Medical Factors, but few have examined the role of socio-demographic/socio-economic (SDE) Factors. Methods This was a retrospective analysis of data from 10,770 patients (5056 men, 5714 women; 62 ± 15 years) with degenerative spinal disorders, collected prospectively in an in-house database within the framework of EUROSPINE’s Spine Tango Registry. Surgeons completed the Tango surgery form (clinical history, demographics, surgical measures, complications), and patients, a baseline Core Outcome Measures Index. Stepwise linear regression analyses examined SDE predictors of LOS, controlling for potential Medical/biological Factors. Results The mean LOS was 7.9 ± 5.2 days. The final model accounted for 42% of variance in LOS, with SDE variables explaining 13% variance and Medical/surgical predictors, 29%. In the final model, the SDE Factors age and being female were significant independent predictors of LOS, whereas others were either non-significant (insurance status, being of Swiss nationality, being a smoker) or reached only borderline significance ( p  

  • Non-Medical Factors significantly influence the length of hospital stay after surgery for degenerative spine disorders.
    European spine journal : official publication of the European Spine Society the European Spinal Deformity Society and the European Section of the Cerv, 2019
    Co-Authors: D. Mai, Christian Brand, Daniel Haschtmann, T. Pirvu, Tamas F. Fekete, Anne F. Mannion
    Abstract:

    Background Unnecessarily long hospital stays are costly and inefficient. Studies have shown that the length of hospital stay (LOS) for spine surgical procedures is influenced by various disease-related or Medical Factors, but few have examined the role of socio-demographic/socio-economic (SDE) Factors.

D. Mai - One of the best experts on this subject based on the ideXlab platform.

  • Non-Medical Factors significantly influence the length of hospital stay after surgery for degenerative spine disorders
    European Spine Journal, 2020
    Co-Authors: D. Mai, Christian Brand, Daniel Haschtmann, T. Pirvu, Tamas F. Fekete, Anne F. Mannion
    Abstract:

    Background Unnecessarily long hospital stays are costly and inefficient. Studies have shown that the length of hospital stay (LOS) for spine surgical procedures is influenced by various disease-related or Medical Factors, but few have examined the role of socio-demographic/socio-economic (SDE) Factors. Methods This was a retrospective analysis of data from 10,770 patients (5056 men, 5714 women; 62 ± 15 years) with degenerative spinal disorders, collected prospectively in an in-house database within the framework of EUROSPINE’s Spine Tango Registry. Surgeons completed the Tango surgery form (clinical history, demographics, surgical measures, complications), and patients, a baseline Core Outcome Measures Index. Stepwise linear regression analyses examined SDE predictors of LOS, controlling for potential Medical/biological Factors. Results The mean LOS was 7.9 ± 5.2 days. The final model accounted for 42% of variance in LOS, with SDE variables explaining 13% variance and Medical/surgical predictors, 29%. In the final model, the SDE Factors age and being female were significant independent predictors of LOS, whereas others were either non-significant (insurance status, being of Swiss nationality, being a smoker) or reached only borderline significance ( p  

  • Non-Medical Factors significantly influence the length of hospital stay after surgery for degenerative spine disorders.
    European spine journal : official publication of the European Spine Society the European Spinal Deformity Society and the European Section of the Cerv, 2019
    Co-Authors: D. Mai, Christian Brand, Daniel Haschtmann, T. Pirvu, Tamas F. Fekete, Anne F. Mannion
    Abstract:

    Background Unnecessarily long hospital stays are costly and inefficient. Studies have shown that the length of hospital stay (LOS) for spine surgical procedures is influenced by various disease-related or Medical Factors, but few have examined the role of socio-demographic/socio-economic (SDE) Factors.

Naama Schwartz - One of the best experts on this subject based on the ideXlab platform.

  • Readmissions to Medical wards: Analysis of demographic and socio-Medical Factors
    European journal of internal medicine, 2012
    Co-Authors: Naiel Bisharat, Chovav Handler, Naama Schwartz
    Abstract:

    Abstract Background Unplanned readmissions affect occupancy rates in Medical wards and these have been constantly increasing in Israel. We examined the frequency and risk Factors affecting the likelihood of 30-day emergency Medical readmissions. Methods We compared the clinical, epidemiological, and socioeconomic characteristics of readmitted patients during 2009 to a control group matched by age, sex, and primary Medical diagnosis. Results Rate of unplanned readmissions within 30 days was 12.2%. The mean time to readmission was 12.8 days. The mean length of hospital stay at index admission was 4.4 and 3.8 days for the study and control groups, respectively, and 4.99 days in the second admission (study group only). By simple univariate logistic regression, living in a nursing home, chronic kidney disease, ischemic heart disease, previous cerebrovascular accident, number of chronic medications, length of hospital stay at index admission, and hospitalization in the previous year prior to index admission were significantly associated with risk of readmission. In multivariate logistic regression model, only living in a nursing home (OR = 2.94, 95%CI = 1.15–7.48), presence of chronic kidney disease (OR = 1.62, 95%CI = 1.06–2.46), length of index admission ≥ 3 days (OR = 1.53, 95%CI = 1.07–2.2), and hospitalization in the previous year (OR = 3.33, 95%CI = 2.34–4.74) were found to be significantly associated with likelihood of readmission. Conclusion Risk Factors affecting 30-days readmission at our Medical centre are similar to previous observations, and yet, some are perhaps unique to our region.

Daniel Haschtmann - One of the best experts on this subject based on the ideXlab platform.

  • Non-Medical Factors significantly influence the length of hospital stay after surgery for degenerative spine disorders
    European Spine Journal, 2020
    Co-Authors: D. Mai, Christian Brand, Daniel Haschtmann, T. Pirvu, Tamas F. Fekete, Anne F. Mannion
    Abstract:

    Background Unnecessarily long hospital stays are costly and inefficient. Studies have shown that the length of hospital stay (LOS) for spine surgical procedures is influenced by various disease-related or Medical Factors, but few have examined the role of socio-demographic/socio-economic (SDE) Factors. Methods This was a retrospective analysis of data from 10,770 patients (5056 men, 5714 women; 62 ± 15 years) with degenerative spinal disorders, collected prospectively in an in-house database within the framework of EUROSPINE’s Spine Tango Registry. Surgeons completed the Tango surgery form (clinical history, demographics, surgical measures, complications), and patients, a baseline Core Outcome Measures Index. Stepwise linear regression analyses examined SDE predictors of LOS, controlling for potential Medical/biological Factors. Results The mean LOS was 7.9 ± 5.2 days. The final model accounted for 42% of variance in LOS, with SDE variables explaining 13% variance and Medical/surgical predictors, 29%. In the final model, the SDE Factors age and being female were significant independent predictors of LOS, whereas others were either non-significant (insurance status, being of Swiss nationality, being a smoker) or reached only borderline significance ( p  

  • Non-Medical Factors significantly influence the length of hospital stay after surgery for degenerative spine disorders.
    European spine journal : official publication of the European Spine Society the European Spinal Deformity Society and the European Section of the Cerv, 2019
    Co-Authors: D. Mai, Christian Brand, Daniel Haschtmann, T. Pirvu, Tamas F. Fekete, Anne F. Mannion
    Abstract:

    Background Unnecessarily long hospital stays are costly and inefficient. Studies have shown that the length of hospital stay (LOS) for spine surgical procedures is influenced by various disease-related or Medical Factors, but few have examined the role of socio-demographic/socio-economic (SDE) Factors.

T. Pirvu - One of the best experts on this subject based on the ideXlab platform.

  • Non-Medical Factors significantly influence the length of hospital stay after surgery for degenerative spine disorders
    European Spine Journal, 2020
    Co-Authors: D. Mai, Christian Brand, Daniel Haschtmann, T. Pirvu, Tamas F. Fekete, Anne F. Mannion
    Abstract:

    Background Unnecessarily long hospital stays are costly and inefficient. Studies have shown that the length of hospital stay (LOS) for spine surgical procedures is influenced by various disease-related or Medical Factors, but few have examined the role of socio-demographic/socio-economic (SDE) Factors. Methods This was a retrospective analysis of data from 10,770 patients (5056 men, 5714 women; 62 ± 15 years) with degenerative spinal disorders, collected prospectively in an in-house database within the framework of EUROSPINE’s Spine Tango Registry. Surgeons completed the Tango surgery form (clinical history, demographics, surgical measures, complications), and patients, a baseline Core Outcome Measures Index. Stepwise linear regression analyses examined SDE predictors of LOS, controlling for potential Medical/biological Factors. Results The mean LOS was 7.9 ± 5.2 days. The final model accounted for 42% of variance in LOS, with SDE variables explaining 13% variance and Medical/surgical predictors, 29%. In the final model, the SDE Factors age and being female were significant independent predictors of LOS, whereas others were either non-significant (insurance status, being of Swiss nationality, being a smoker) or reached only borderline significance ( p  

  • Non-Medical Factors significantly influence the length of hospital stay after surgery for degenerative spine disorders.
    European spine journal : official publication of the European Spine Society the European Spinal Deformity Society and the European Section of the Cerv, 2019
    Co-Authors: D. Mai, Christian Brand, Daniel Haschtmann, T. Pirvu, Tamas F. Fekete, Anne F. Mannion
    Abstract:

    Background Unnecessarily long hospital stays are costly and inefficient. Studies have shown that the length of hospital stay (LOS) for spine surgical procedures is influenced by various disease-related or Medical Factors, but few have examined the role of socio-demographic/socio-economic (SDE) Factors.