Literature DB >> 30745217

Perioperative Orthopedic Surgical Home: Optimizing Total Joint Arthroplasty Candidates and Preventing Readmission.

Kelvin Y Kim1, Afshin A Anoushiravani1, Kevin K Chen1, Robert Li1, Joseph A Bosco1, James D Slover1, Richard Iorio1.   

Abstract

BACKGROUND: It is well recognized that unplanned readmissions following total joint arthroplasty (TJA) are more prevalent in patients with comorbidities. However, few investigators have delayed surgery and medically optimized patients prior to surgery. In its current form, the Perioperative Orthopedic Surgical Home (POSH) is a surgeon-led screening and optimization initiative targeting 8 common modifiable comorbidities.
METHODS: A total of 4188 patients who underwent TJA between January 2014 and December 2016 were retrospectively screened by the Readmission Risk Assessment tool (RRAT) score. one thousand one hundred and ninety four subjects had a preoperative RRAT score ≥3 and were eligible for inclusion. Patients were then separated into 2 cohorts based on whether they were enrolled into the POSH initiative (POSH; n = 216) or continued with surgery (non-POSH; n = 978) despite their risk.
RESULTS: Since the implementation of the POSH initiative, patients with RRAT scores ranging from 3 to 5 have experienced lower 30-day (1.6% vs 5.3%, P = .03) and 90-day (3.2% vs 7.4%, P < .05) readmission rates when compared to the non-POSH cohort. Only 15.3% of medically optimized patients enrolled in the POSH initiative were discharged to a post-acute care facility, whereas 23.4% of non-POSH patients were discharged to a post-acute care facility (P = .01). There were no differences in length of stay and infection rates between the 2 cohorts. Moreover, 90-day episode-of-care costs were 14.9% greater among non-POSH Medicare TJA recipients and 32.6% higher if a readmission occurred.
CONCLUSION: The identification and medical optimization of comorbidities prior to surgical intervention may enhance the value of care TJA candidates receive. A standardized multidisciplinary approach to the medical optimization of high-risk TJA candidates may improve patient engagement and perioperative outcomes, while reducing cost associated with TJA. LEVEL OF EVIDENCE: Level III, Retrospective Cohort Study.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Readmission risk assessment tool; perioperative optimizations; perioperative orthopedic surgical home; practice management; total joint arthroplasty

Year:  2019        PMID: 30745217     DOI: 10.1016/j.arth.2019.01.020

Source DB:  PubMed          Journal:  J Arthroplasty        ISSN: 0883-5403            Impact factor:   4.757


  6 in total

1.  CORR Synthesis: How Might the Preoperative Management of Risk Factors Influence Healthcare Disparities in Total Joint Arthroplasty?

Authors:  Chloe C Dlott; Daniel H Wiznia
Journal:  Clin Orthop Relat Res       Date:  2022-03-18       Impact factor: 4.755

2.  Psychological Healthcare Burden Lessens After Hip Arthroscopy for Those With Comorbid Depression or Anxiety.

Authors:  Anthony J Zacharias; Nicole G Lemaster; Gregory S Hawk; Stephen T Duncan; Katherine L Thompson; Kate N Jochimsen; Austin V Stone; Cale A Jacobs
Journal:  Arthrosc Sports Med Rehabil       Date:  2021-06-17

Review 3.  New developments and future challenges in prevention, diagnosis, and treatment of prosthetic joint infection.

Authors:  Benjamin F Ricciardi; Gowrishankar Muthukrishnan; Elysia A Masters; Nathan Kaplan; John L Daiss; Edward M Schwarz
Journal:  J Orthop Res       Date:  2020-01-31       Impact factor: 3.494

4.  Readmission, Complication, and Disposition Calculators in Total Joint Arthroplasty: A Systemic Review.

Authors:  Cole M Howie; Simon C Mears; C Lowry Barnes; Jeffrey B Stambough
Journal:  J Arthroplasty       Date:  2020-11-03       Impact factor: 4.757

5.  Are there avoidable causes of early revision total knee arthroplasty?

Authors:  Mackenzie A Roof; Jason B Kreinces; Ran Schwarzkopf; Joshua C Rozell; Vinay K Aggarwal
Journal:  Knee Surg Relat Res       Date:  2022-06-18

6.  Trends of obesity rates between primary total hip arthroplasty patients and the general population from 2013 to 2020.

Authors:  Nishanth Muthusamy; Thomas Christensen; Vivek Singh; Chelsea Sue Sicat; Joshua C Rozell; Ran Schwarzkopf; Claudette M Lajam
Journal:  Arthroplasty       Date:  2022-09-08
  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.