Can the Blaylock Risk Assessment Screening Score (BRASS) predict length of hospital stay and need for comprehensive discharge planning for patients following hip and knee replacement surgery? Predicting arthroplasty planning and stay using the BRASS

Can the Blaylock Risk Assessment Screening Score (BRASS) predict length of hospital stay and need for comprehensive discharge planning for patients following hip and knee replacement surgery? Predicting arthroplasty planning and stay using the BRASS

Can J Surg 2014;57(6):391-97 | PDF

Danny Cunic, MD, MSc, PhD*; Shawn Lacombe, BPHE, MSc†; Kiarash Mohajer, BSc†; Heather Grant, MSc‡; Gavin Wood, MBChB*‡

From the *Division of Orthopedic Surgery, Queens University, †School of Medicine, Queens University, ‡Human Mobility Research Centre, Kingston, Ont

Abstract

Background: Knee and hip arthroplasty constitutes a large percentage of hospital elective surgical procedures. The Blaylock Risk Assessment Screening Score (BRASS) was designed to identify patients in need of discharge planning. The purpose of this study was to evaluate whether the BRASS was associated with length of stay (LOS) in hospital following elective arthroplasty.

Methods: We retrospectively reviewed the charts of individuals undergoing primary elective arthroplasty for knee or hip osteoarthritis who had a documented BRASS score.

Results: In our study cohort of 241, both BRASS (p < 0.001) and replacement type (hip v. knee; p = 0.048) were predictive of LOS. Higher BRASS was associated with older patients (p < 0.001), higher American Society of Anesthesiologists score (p < 0.001) and longer LOS (p < 0.001). We found a specificity of 83% for a BRASS greater than 8 and a hospital stay longer than 5 days and a specificity of 92% for a BRASS greater than 10. Conclusion: The BRASS represents a novel and significant predictor of LOS following elective arthroplasty. Patients with higher BRASS are more likely to stay in hospital 5 days or more and should receive pre-emptive social work consultations to facilitate timely discharge planning and hospital resources.

Résumé

Contexte : Les arthroplasties du genou et de la hanche représentent un fort pourcentage des interventions chirurgicales non urgentes pratiquées dans les hôpitaux. Le score BRASS (Blaylock Risk Assessment Screening Score) a été conçu pour reconnaître les patients dont il faut planifier le congé de l’hôpital. Le but de la présente étude était de vérifier s’il y a un lien entre le score BRASS et la durée du séjour hospitalier (DSH) après une arthroplastie non urgente.

Méthodes : Nous avons analysé rétrospectivement les dossiers de patients soumis à une arthroplastie primaire non urgente du genou ou de la hanche dont le score BRASS avait été documenté.

Résultats : Dans la cohorte de 241 patients de notre étude, le score BRASS (p < 0,001) et le type d’arthroplastie (hanche c. genou, p = 0,048) ont été des facteurs prédicteurs de la DSH. Un score BRASS plus élevé était associé à un âge plus avancé des patients (p < 0,001), à un score plus élevé à l’échelle de l’American Society of Anesthesiologists (p < 0,001) et à une DSH plus longue (p < 0,001). Nous avons observé une spécificité de 83 % pour un score BRASS supérieur à 8 et un séjour hospitalier de plus de 5 jours, et une spécificité de 92 % pour un score BRASS supérieur à 10. Conclusion : Le score BRASS constitue un nouveau prédicteur important de la DSH après une arthroplastie non urgente. Les patients dont le score BRASS est plus élevé, risquent davantage de séjourner plus de 5 jours à l’hôpital et devraient bénéficier de consultations préventives auprès du personnel des Services sociaux afin de faciliter la planification des congés en temps opportun et d’assurer l’utilisation efficace des ressources hospitalières.


Accepted for publication Apr. 29, 2014

Competing interests: G. Wood declares being a paid consultant and receiving speaker fees from Stryker. No other competing interests declared.

Contributors: D. Cunic and G. Wood designed the study. D. Cunic, S. Lacombe and K. Kohajer acquired and analyzed the data, which H. Grant also analyzed. All authors wrote and reviewed the article and approved the final version for publication.

DOI: 10.1503/cjs.024113

Correspondence to: D. Cunic, Department of Surgery, Victory 3, Kingston General Hospital, 76 Stuart St., Kingston, ON, K7L 2V7; 7dc12@queensu.ca