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.
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.
Authors: Joseph J King; Matthew R Patrick; Aimee M Struk; Ryan E Schnetzer; Kevin W Farmer; Cynthia Garvan; Thomas W Wright Journal: J Am Acad Orthop Surg Glob Res Rev Date: 2017-10-09