Literature DB >> 22832431

Patient variables which may predict length of stay and hospital costs in elderly patients with hip fracture.

Anna E Garcia1, J V Bonnaig, Zachary T Yoneda, Justin E Richards, Jesse M Ehrenfeld, William T Obremskey, A Alex Jahangir, Manish K Sethi.   

Abstract

OBJECTIVES: To investigate what factors contribute to increased length of stay (LOS) and increased costs in treatment of elderly patients with hip fractures.
DESIGN: Retrospective chart review.
SETTING: All patients who presented to a large tertiary care center between January 2000 and December 31, 2009. PARTICIPANTS: Charts for all patients older than 60 years who presented with isolated low-energy hip fractures were reviewed. Of the 719 patients identified, 660 were included. INTERVENTION: Patients who underwent operative fixation or hemiarthroplasty secondary to hip fracture were identified using a search of Current Procedural Terminology (CPT) codes search. MAIN OUTCOME MEASUREMENTS: Gender, height, weight, body mass index, length of procedure, American Society of Anesthesiologists (ASA) classification, and medical comorbidities were gathered and compared with LOS and direct daily inpatient hospital cost.
RESULTS: No correlation existed between body mass index or specific comorbidities and LOS, but ASA classification was a predictor. For each ASA increase of 1, average LOS increased 2.053 days (P < 0.001). Given total daily cost to the hospital for these patients was $4530, each increase in ASA classification translated to an increase of $9300.
CONCLUSIONS: ASA classification proved useful in estimating LOS and cost for patients undergoing operative fixation of hip fractures. Because ASA classification and cost are universally collected, this method can be employed in almost any hospital. This highlights a role for ASA classification in preoperative estimation of the elderly patient's cost and a potential advantage for incorporating patient factors in the development of tiered reimbursement models. LEVEL OF EVIDENCE: Prognostic Level II. See Instructions for Authors for a complete description of levels of evidence.

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Year:  2012        PMID: 22832431     DOI: 10.1097/BOT.0b013e3182695416

Source DB:  PubMed          Journal:  J Orthop Trauma        ISSN: 0890-5339            Impact factor:   2.512


  31 in total

1.  Preoperative and surgical factors associated with postoperative intensive care unit admission following operative treatment for degenerative lumbar spine disease.

Authors:  Harrison F Kay; Silky Chotai; Joseph B Wick; David P Stonko; Matthew J McGirt; Clinton J Devin
Journal:  Eur Spine J       Date:  2015-08-27       Impact factor: 3.134

2.  Factors affecting delay to surgery and length of stay for patients with hip fracture.

Authors:  William M Ricci; Angel Brandt; Christopher McAndrew; Michael J Gardner
Journal:  J Orthop Trauma       Date:  2015-03       Impact factor: 2.512

3.  Does Admission to Medicine or Orthopaedics Impact a Geriatric Hip Patient's Hospital Length of Stay?

Authors:  Sarah E Greenberg; Jacob P VanHouten; Nikita Lakomkin; Jesse Ehrenfeld; Amir Alex Jahangir; Robert H Boyce; William T Obremksey; Manish K Sethi
Journal:  J Orthop Trauma       Date:  2016-02       Impact factor: 2.512

4.  Readmission within 30 days of discharge after hip fracture care.

Authors:  Frederic H Pollock; Audis Bethea; Damayanti Samanta; Asmita Modak; James P Maurer; Julton Tomanguillo Chumbe
Journal:  Orthopedics       Date:  2015-01       Impact factor: 1.390

5.  Predictive Modeling for Geriatric Hip Fracture Patients: Early Surgery and Delirium Have the Largest Influence on Length of Stay.

Authors:  Garin Hecht; Christina A Slee; Parker B Goodell; Sandra L Taylor; Philip R Wolinsky
Journal:  J Am Acad Orthop Surg       Date:  2019-03-15       Impact factor: 3.020

6.  Expedited Operative Care of Hip Fractures Results in Significantly Lower Cost of Treatment.

Authors:  Kyle T Judd; Eric Christianson
Journal:  Iowa Orthop J       Date:  2015

7.  Perioperative and acute care outcomes in morbidly obese patients with acetabular fractures at a Level 1 trauma center.

Authors:  Heather K Vincent; Edward Haupt; Sonya Tang; Adaeze Egwuatu; Richard Vlasak; MaryBeth Horodyski; Donna Carden; Kalia K Sadisivan
Journal:  J Orthop       Date:  2014-05-10

8.  A predictive model for increased hospital length of stay following geriatric hip fracture.

Authors:  Olivia M Knoll; Nikita Lakomkin; Michelle S Shen; Moses Adebayo; Parth Kothari; Ashley C Dodd; Basem Attum; Nathan Lee; Deepak Chona; Manish K Sethi
Journal:  J Clin Orthop Trauma       Date:  2019-04-01

9.  Factors for Increased Hospital Stay and Utilization of Post -Acute Care Facilities in Geriatric Orthopaedic Fracture Patients.

Authors:  Quirine M J Van Der Vliet; Michael J Weaver; Koloman Heil; Michael F McTague; Marilyn Heng
Journal:  Arch Bone Jt Surg       Date:  2021-01

10.  Predictors of hip fracture mortality in Ghana: a single-center prospective study.

Authors:  Paa Kwesi Baidoo; James B Odei; Velarie Ansu; Michael Segbefia; Henry Holdbrook-Smith
Journal:  Arch Osteoporos       Date:  2021-02-20       Impact factor: 2.617

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