dedup_wf_001--8300687d0c4a1d2ffc91a108992e20a2

Introduction: Understanding and planning for the factors that impact supply cost and unplanned readmission risk for total joint arthroplasty (TJA) patients is helpful for hospitals at financial risk under bundled payments. Readmission and operating room supply costs are two of the biggest expenses. Methods: Logistic and linear regressions are used to measure the impacts of TJA patient attributes on readmission risk and supply costs, respectively. Results: Patients’ health market segment and the number/type of comorbidity impacts 30/90-day readmission rates. Surgeon implant preference and type of surgery impact supply costs. Discharge location and two of the five health market segments increase the odds of 30-day readmission. Arrhythmia and lymphoma are the primary comorbidities that impact the odds of readmission at 90 days. Conclusions: Preoperatively identifying TJA patients likely to have large supply costs and higher readmission risk allows hospitals to invest in low-cost interventions to reduce risk and improve healthcare value.

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PID https://www.doi.org/10.6084/m9.figshare.8063066.v1
PID https://www.doi.org/10.6084/m9.figshare.8063066
URL http://dx.doi.org/10.6084/m9.figshare.8063066.v1
URL http://dx.doi.org/10.6084/m9.figshare.8063066
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Access Right Open Access
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Author Swenson, Eric R.
Author Bastian, Nathaniel D.
Author Nembhard, Harriet B.
Author Davis, Charles M.
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Collected From figshare; Datacite
Hosted By figshare
Publication Date 2019-05-01
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Language UNKNOWN
Resource Type Other ORP type
keyword FOS: Sociology
keyword FOS: Biological sciences
keyword FOS: Computer and information sciences
system:type other
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Source https://science-innovation-policy.openaire.eu/search/other?orpId=dedup_wf_001::8300687d0c4a1d2ffc91a108992e20a2
Author jsonws_user
Last Updated 19 December 2020, 19:05 (CET)
Created 19 December 2020, 19:05 (CET)