Predictors of Hospital Length of Stay in an Enhanced Recovery After Surgery Program for Primary Total Hip Arthroplasty

Abstract Background Shorter length of stay (LOS) for total hip arthroplasty (THA) is becoming standard, yet variables identifying candidates for a 1-day discharge in an enhanced recovery after surgery program are not well defined. With growing emphasis on cost-efficiency and bundled care for THA, th...

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Veröffentlicht in:The Journal of arthroplasty 2016-10, Vol.31 (10), p.2119-2123
Hauptverfasser: Sibia, Udai S., MD, MBA, MacDonald, James H., MD, King, Paul J., MD
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container_end_page 2123
container_issue 10
container_start_page 2119
container_title The Journal of arthroplasty
container_volume 31
creator Sibia, Udai S., MD, MBA
MacDonald, James H., MD
King, Paul J., MD
description Abstract Background Shorter length of stay (LOS) for total hip arthroplasty (THA) is becoming standard, yet variables identifying candidates for a 1-day discharge in an enhanced recovery after surgery program are not well defined. With growing emphasis on cost-efficiency and bundled care for THA, this study looked to identify variables that correlated with LOS. Methods A retrospective chart review was performed for 273 primary THAs, from April 2014 to January 2015. Clinical measures differentiating a 1-day LOS cohort from that of a LOS longer than 1 day were identified. Direct medical costs were calculated for services billed during hospitalization. Results Logistic regression identified the following preoperative patient characteristics to correlate with an LOS >1 day: older age (odds ratio [OR]: 1.06, P < .001), increased body mass index (OR: 1.06, P  = .005), female gender (OR: 1.76, P  = .031), American Society of Anesthesiologists score 3 or 4 (OR: 1.84, P  = .029), and coronary artery disease (OR: 3.90, P  = .013). After adjusting for age, body mass index, and gender, the following perioperative variables led to an LOS ≥2 days: general anesthesia (OR: 2.24, P  = .007), longer operative time (OR: 1.04, P < .001), and increased blood loss (OR: 1.01, P  = .001). Postoperatively, not ambulating on the day of surgery strongly correlated with an LOS ≥2 days (OR: 3.9, P < .001). Hospital costs were approximately $2900 higher for a 2-day LOS. Conclusion With growing emphasis on cost-efficiency, studying the association of clinical factors with LOS is necessary to develop a preoperative and perioperative predictive risk stratification model that may be used to help optimize discharge protocols for patients in an enhanced recovery after surgery program.
doi_str_mv 10.1016/j.arth.2016.02.060
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With growing emphasis on cost-efficiency and bundled care for THA, this study looked to identify variables that correlated with LOS. Methods A retrospective chart review was performed for 273 primary THAs, from April 2014 to January 2015. Clinical measures differentiating a 1-day LOS cohort from that of a LOS longer than 1 day were identified. Direct medical costs were calculated for services billed during hospitalization. Results Logistic regression identified the following preoperative patient characteristics to correlate with an LOS &gt;1 day: older age (odds ratio [OR]: 1.06, P &lt; .001), increased body mass index (OR: 1.06, P  = .005), female gender (OR: 1.76, P  = .031), American Society of Anesthesiologists score 3 or 4 (OR: 1.84, P  = .029), and coronary artery disease (OR: 3.90, P  = .013). After adjusting for age, body mass index, and gender, the following perioperative variables led to an LOS ≥2 days: general anesthesia (OR: 2.24, P  = .007), longer operative time (OR: 1.04, P &lt; .001), and increased blood loss (OR: 1.01, P  = .001). Postoperatively, not ambulating on the day of surgery strongly correlated with an LOS ≥2 days (OR: 3.9, P &lt; .001). Hospital costs were approximately $2900 higher for a 2-day LOS. Conclusion With growing emphasis on cost-efficiency, studying the association of clinical factors with LOS is necessary to develop a preoperative and perioperative predictive risk stratification model that may be used to help optimize discharge protocols for patients in an enhanced recovery after surgery program.</description><identifier>ISSN: 0883-5403</identifier><identifier>EISSN: 1532-8406</identifier><identifier>DOI: 10.1016/j.arth.2016.02.060</identifier><identifier>PMID: 27067175</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Aged ; Anesthesia, General ; Arthroplasty, Replacement, Hip - rehabilitation ; Body Mass Index ; enhanced recovery after surgery ; Female ; Hospitalization ; Hospitals ; Humans ; Length of Stay ; Logistic Models ; Male ; Middle Aged ; Operative Time ; Orthopedics ; Patient Discharge ; perioperative ; Postoperative Period ; predictors ; preoperative ; Retrospective Studies ; Sex Factors ; total hip arthroplasty</subject><ispartof>The Journal of arthroplasty, 2016-10, Vol.31 (10), p.2119-2123</ispartof><rights>Elsevier Inc.</rights><rights>2016 Elsevier Inc.</rights><rights>Copyright © 2016 Elsevier Inc. 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With growing emphasis on cost-efficiency and bundled care for THA, this study looked to identify variables that correlated with LOS. Methods A retrospective chart review was performed for 273 primary THAs, from April 2014 to January 2015. Clinical measures differentiating a 1-day LOS cohort from that of a LOS longer than 1 day were identified. Direct medical costs were calculated for services billed during hospitalization. Results Logistic regression identified the following preoperative patient characteristics to correlate with an LOS &gt;1 day: older age (odds ratio [OR]: 1.06, P &lt; .001), increased body mass index (OR: 1.06, P  = .005), female gender (OR: 1.76, P  = .031), American Society of Anesthesiologists score 3 or 4 (OR: 1.84, P  = .029), and coronary artery disease (OR: 3.90, P  = .013). After adjusting for age, body mass index, and gender, the following perioperative variables led to an LOS ≥2 days: general anesthesia (OR: 2.24, P  = .007), longer operative time (OR: 1.04, P &lt; .001), and increased blood loss (OR: 1.01, P  = .001). Postoperatively, not ambulating on the day of surgery strongly correlated with an LOS ≥2 days (OR: 3.9, P &lt; .001). Hospital costs were approximately $2900 higher for a 2-day LOS. Conclusion With growing emphasis on cost-efficiency, studying the association of clinical factors with LOS is necessary to develop a preoperative and perioperative predictive risk stratification model that may be used to help optimize discharge protocols for patients in an enhanced recovery after surgery program.</description><subject>Aged</subject><subject>Anesthesia, General</subject><subject>Arthroplasty, Replacement, Hip - rehabilitation</subject><subject>Body Mass Index</subject><subject>enhanced recovery after surgery</subject><subject>Female</subject><subject>Hospitalization</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Length of Stay</subject><subject>Logistic Models</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Operative Time</subject><subject>Orthopedics</subject><subject>Patient Discharge</subject><subject>perioperative</subject><subject>Postoperative Period</subject><subject>predictors</subject><subject>preoperative</subject><subject>Retrospective Studies</subject><subject>Sex Factors</subject><subject>total hip arthroplasty</subject><issn>0883-5403</issn><issn>1532-8406</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kU-P0zAQxSMEYsvCF-CAfOSSMHbi_JEQUrVaKFIlVnQ5W449aV3SONhOpX57bHXhwIGTx6P3nmZ-k2VvKRQUaP3hWEgXDgWLdQGsgBqeZSvKS5a3FdTPsxW0bZnzCsqb7JX3RwBKOa9eZjesgbqhDV9l5weH2qhgnSd2IBvrZxPkSLY47cMhtXZBXoiZiJzI_XSQk0JNvqOyZ3QXsh4COrJb3D79HpzdO3kig3WxNicZe482xW3MTNZxWGfnUfpweZ29GOTo8c3Te5v9-Hz_eLfJt9--fL1bb3NVURryru2xL2nXNiUfWM3aNPaASkPfUaw7pftBN0PLse84Z1pz3cd2WSvd1tFY3mbvr7mzs78W9EGcjFc4jnJCu3hBW1bxqgGAKGVXqXLWe4eDmK8rCAoi8RZHkXiLxFsAE5F3NL17yl_6E-q_lj-Ao-DjVYBxy7NBJ7wymCAahyoIbc3_8z_9Y1ejmYyS40-8oD_axU2Rn6DCR4PYpYung9MagFFg5W8PBqdD</recordid><startdate>20161001</startdate><enddate>20161001</enddate><creator>Sibia, Udai S., MD, MBA</creator><creator>MacDonald, James H., MD</creator><creator>King, Paul J., MD</creator><general>Elsevier Inc</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-3443-124X</orcidid><orcidid>https://orcid.org/0000-0002-1404-7593</orcidid></search><sort><creationdate>20161001</creationdate><title>Predictors of Hospital Length of Stay in an Enhanced Recovery After Surgery Program for Primary Total Hip Arthroplasty</title><author>Sibia, Udai S., MD, MBA ; MacDonald, James H., MD ; King, Paul J., MD</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c411t-98beb3198735f26280671fecd0b91e69cdbfd7f85eb9552dd5dbe6936cd86b313</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Aged</topic><topic>Anesthesia, General</topic><topic>Arthroplasty, Replacement, Hip - rehabilitation</topic><topic>Body Mass Index</topic><topic>enhanced recovery after surgery</topic><topic>Female</topic><topic>Hospitalization</topic><topic>Hospitals</topic><topic>Humans</topic><topic>Length of Stay</topic><topic>Logistic Models</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Operative Time</topic><topic>Orthopedics</topic><topic>Patient Discharge</topic><topic>perioperative</topic><topic>Postoperative Period</topic><topic>predictors</topic><topic>preoperative</topic><topic>Retrospective Studies</topic><topic>Sex Factors</topic><topic>total hip arthroplasty</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sibia, Udai S., MD, MBA</creatorcontrib><creatorcontrib>MacDonald, James H., MD</creatorcontrib><creatorcontrib>King, Paul J., MD</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>The Journal of arthroplasty</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sibia, Udai S., MD, MBA</au><au>MacDonald, James H., MD</au><au>King, Paul J., MD</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Predictors of Hospital Length of Stay in an Enhanced Recovery After Surgery Program for Primary Total Hip Arthroplasty</atitle><jtitle>The Journal of arthroplasty</jtitle><addtitle>J Arthroplasty</addtitle><date>2016-10-01</date><risdate>2016</risdate><volume>31</volume><issue>10</issue><spage>2119</spage><epage>2123</epage><pages>2119-2123</pages><issn>0883-5403</issn><eissn>1532-8406</eissn><abstract>Abstract Background Shorter length of stay (LOS) for total hip arthroplasty (THA) is becoming standard, yet variables identifying candidates for a 1-day discharge in an enhanced recovery after surgery program are not well defined. With growing emphasis on cost-efficiency and bundled care for THA, this study looked to identify variables that correlated with LOS. Methods A retrospective chart review was performed for 273 primary THAs, from April 2014 to January 2015. Clinical measures differentiating a 1-day LOS cohort from that of a LOS longer than 1 day were identified. Direct medical costs were calculated for services billed during hospitalization. Results Logistic regression identified the following preoperative patient characteristics to correlate with an LOS &gt;1 day: older age (odds ratio [OR]: 1.06, P &lt; .001), increased body mass index (OR: 1.06, P  = .005), female gender (OR: 1.76, P  = .031), American Society of Anesthesiologists score 3 or 4 (OR: 1.84, P  = .029), and coronary artery disease (OR: 3.90, P  = .013). After adjusting for age, body mass index, and gender, the following perioperative variables led to an LOS ≥2 days: general anesthesia (OR: 2.24, P  = .007), longer operative time (OR: 1.04, P &lt; .001), and increased blood loss (OR: 1.01, P  = .001). Postoperatively, not ambulating on the day of surgery strongly correlated with an LOS ≥2 days (OR: 3.9, P &lt; .001). Hospital costs were approximately $2900 higher for a 2-day LOS. 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subjects Aged
Anesthesia, General
Arthroplasty, Replacement, Hip - rehabilitation
Body Mass Index
enhanced recovery after surgery
Female
Hospitalization
Hospitals
Humans
Length of Stay
Logistic Models
Male
Middle Aged
Operative Time
Orthopedics
Patient Discharge
perioperative
Postoperative Period
predictors
preoperative
Retrospective Studies
Sex Factors
total hip arthroplasty
title Predictors of Hospital Length of Stay in an Enhanced Recovery After Surgery Program for Primary Total Hip Arthroplasty
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