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 |
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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 >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.</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. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c411t-98beb3198735f26280671fecd0b91e69cdbfd7f85eb9552dd5dbe6936cd86b313</citedby><cites>FETCH-LOGICAL-c411t-98beb3198735f26280671fecd0b91e69cdbfd7f85eb9552dd5dbe6936cd86b313</cites><orcidid>0000-0003-3443-124X ; 0000-0002-1404-7593</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.arth.2016.02.060$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,777,781,3537,27905,27906,45976</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27067175$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Sibia, Udai S., MD, MBA</creatorcontrib><creatorcontrib>MacDonald, James H., MD</creatorcontrib><creatorcontrib>King, Paul J., MD</creatorcontrib><title>Predictors of Hospital Length of Stay in an Enhanced Recovery After Surgery Program for Primary Total Hip Arthroplasty</title><title>The Journal of arthroplasty</title><addtitle>J Arthroplasty</addtitle><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.</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 >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.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>27067175</pmid><doi>10.1016/j.arth.2016.02.060</doi><tpages>5</tpages><orcidid>https://orcid.org/0000-0003-3443-124X</orcidid><orcidid>https://orcid.org/0000-0002-1404-7593</orcidid></addata></record> |
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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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