Using joint registry data from FORce-TJR to improve the accuracy of risk-adjustment prediction models for thirty-day readmission after total hip replacement and total knee replacement

David C. Ayers; Thomas K. Fehring; Susan M. Odum; Patricia Durkin Franklin

doi:10.2106/JBJS.N.00889

Using joint registry data from FORce-TJR to improve the accuracy of risk-adjustment prediction models for thirty-day readmission after total hip replacement and total knee replacement

David C. Ayers, Thomas K. Fehring, Susan M. Odum, Patricia Durkin Franklin

Medical Social Sciences

Research output: Contribution to journal › Article › peer-review

38 Scopus citations

Original language	English (US)
Pages (from-to)	668-671
Number of pages	4
Journal	Journal of Bone and Joint Surgery
Volume	97
Issue number	8
DOIs	https://doi.org/10.2106/JBJS.N.00889
State	Published - Apr 15 2015

ASJC Scopus subject areas

Surgery
Orthopedics and Sports Medicine

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10.2106/JBJS.N.00889

Cite this

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title = "Using joint registry data from FORce-TJR to improve the accuracy of risk-adjustment prediction models for thirty-day readmission after total hip replacement and total knee replacement",

author = "Ayers, {David C.} and Fehring, {Thomas K.} and Odum, {Susan M.} and Franklin, {Patricia Durkin}",

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volume = "97",

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journal = "Journal of Bone and Joint Surgery",

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Using joint registry data from FORce-TJR to improve the accuracy of risk-adjustment prediction models for thirty-day readmission after total hip replacement and total knee replacement. / Ayers, David C.; Fehring, Thomas K.; Odum, Susan M. et al.
In: Journal of Bone and Joint Surgery, Vol. 97, No. 8, 15.04.2015, p. 668-671.

Research output: Contribution to journal › Article › peer-review

TY - JOUR

T1 - Using joint registry data from FORce-TJR to improve the accuracy of risk-adjustment prediction models for thirty-day readmission after total hip replacement and total knee replacement

AU - Ayers, David C.

AU - Fehring, Thomas K.

AU - Odum, Susan M.

AU - Franklin, Patricia Durkin

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SN - 0021-9355

VL - 97

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JO - Journal of Bone and Joint Surgery

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ER -

Using joint registry data from FORce-TJR to improve the accuracy of risk-adjustment prediction models for thirty-day readmission after total hip replacement and total knee replacement

ASJC Scopus subject areas

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