Zobrazeno 1 - 10
of 2 962
pro vyhledávání: '"Elixhauser Comorbidities"'
Autor:
Ryan, Sean P., Plate, Johannes F., Goltz, Daniel E., Attarian, David E., Wellman, Samuel S., Seyler, Thorsten M., Jiranek, William A.
Publikováno v:
In The Journal of Arthroplasty July 2019 34(7):1312-1316
Autor:
Goltz, Daniel E., Ryan, Sean P., Howell, Claire B., Attarian, David, Bolognesi, Michael P., Seyler, Thorsten M.
Publikováno v:
In The Journal of Arthroplasty May 2019 34(5):857-864
Publikováno v:
In Journal of Clinical Epidemiology November 2016 79:62-69
Akademický článek
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Publikováno v:
The Bone & Joint Journal. :964-970
Aims To investigate the impact of the Charlson and Elixhauser comorbidity indices on patient-reported outcomes measures (PROMs) following shoulder arthroplasty. Methods Patients undergoing total shoulder arthroplasty (TSA), reverse shoulder arthropla
Autor:
Li, Bing1,2 lib@ucalgary.ca, Evans, Dewey3 devans@phsa.ca, Faris, Peter1 faris@ucalgary.ca, Dean, Stafford1,2 stafford.dean@calgaryhealthregion.ca, Quan, Hude1 hquan@ucalgary.ca
Publikováno v:
BMC Health Services Research. 2008, Vol. 8, Special section p1-7. 7p. 4 Charts.
Autor:
Sean P. Ryan, David E. Attarian, Johannes F. Plate, Samuel S. Wellman, Daniel E. Goltz, William A. Jiranek, Thorsten M. Seyler
Publikováno v:
The Journal of Arthroplasty. 34:1312-1316
Background The Center for Medicare and Medicaid Services (CMS) classifies reimbursement for total hip arthroplasty (THA) and total knee arthroplasty (TKA) based on Medical Severity-Diagnosis Related Groups (MS-DRGs) 469 (with major complication/comor
Autor:
Claire B. Howell, Daniel E. Goltz, David E. Attarian, Thorsten M. Seyler, Sean P. Ryan, Michael P. Bolognesi
Publikováno v:
The Journal of Arthroplasty. 34:857-864
Background Evolving reimbursement models increasingly compel hospitals to assume costs for 90-day readmission after total joint arthroplasty. Although risk assessment tools exist, none currently reach the predictive performance required to accurately
Publikováno v:
Medical Devices: Evidence and Research, Vol Volume 16, Pp 237-249 (2023)
Mosadoluwa Afolabi,1,* Stephen S Johnston,1,* Pranjal Tewari,2,* Walter A Danker3,* 1MedTech Epidemiology and Real-World Data Sciences, Johnson and Johnson, New Brunswick, NJ, USA; 2Decision Science, Mu Sigma, Bangalore, India; 3Franc
Externí odkaz:
https://doaj.org/article/06649a7531aa4982b0286044623d03c4
Publikováno v:
BMC Health Services Research, Vol 22, Iss 1, Pp 1-9 (2022)
Abstract Background Severity of illness (SOI) is an All Patients Refined Diagnosis Related Groups (APR DRG) modifier based on comorbidity capture. Tracking SOI helps hospitals improve performance and resource distribution. Furthermore, benchmarking S
Externí odkaz:
https://doaj.org/article/b7fd6a69c7094babb920a40eeb485673