Literature DB >> 33616656

Uniform criteria for total hip replacement surgery in patients with hip osteoarthritis: a decision tool to guide treatment decisions.

Femke Atsma1, Olivier Molenkamp2, Heinse Bouma3, Stefan B Bolder4, A Stef Groenewoud1, Gert P Westert1.   

Abstract

BACKGROUND: Uniform criteria for performing hip replacement surgery in hip osteoarthritis patients are currently lacking. As a result, variation in surgery and inappropriateness of care may occur. The aim of this study was to develop a consensus-based decision tool to support the decision-making process for hip replacement surgery.
METHODS: Patients with a diagnosis of unilateral or bilateral osteoarthritis were included. Consensus rounds with orthopedic surgeons were organized to blindly reassess medical files and to decide whether surgery is indicated or not, based on all available pre-treatment information. We compared the outcomes obtained from the blind reassessment by the consensus group with the actual treatment. Furthermore, prediction models were fitted on the reassessment outcome to identify which set of clinical parameters would be most predictive and uniformly shared in the decision to operate.Two prediction models were fitted, one model without radiologic outcomes and one model where radiologic outcomes were included.
RESULTS: In total, 364 medical files of osteoarthritis patients were included and reassessed in the analyses. Key predictors in the prediction model without radiology were age, flexion, internal rotation and the Hip disability and Osteoarthritis Outcome Score-quality of life. The discriminative power was high (Area Under Receiver Operating Curve (AUC) = 0.86). Key predictors in the prediction model with radiology were age, internal rotation and Kellgren and Lawrence severity score (AUC = 0.94).
CONCLUSION: The study yielded a decision tool with uniform criteria for hip replacement surgery in osteoarthritis patients. The tool will guide the clinical decision-making process of physicians on whether to perform hip surgery and should be used together with information about patient preferences and social context.
© The Author(s) 2021. Published by Oxford University Press on behalf of International Society for Quality in Health Care.

Entities:  

Keywords:  appropriateness, underuse and overuse; hospital care; quality improvement; shared decision-making

Mesh:

Year:  2021        PMID: 33616656      PMCID: PMC7941208          DOI: 10.1093/intqhc/mzab030

Source DB:  PubMed          Journal:  Int J Qual Health Care        ISSN: 1353-4505            Impact factor:   2.038


  25 in total

1.  Radiological assessment of osteo-arthrosis.

Authors:  J H KELLGREN; J S LAWRENCE
Journal:  Ann Rheum Dis       Date:  1957-12       Impact factor: 19.103

2.  Validation of the Dutch version of the Hip disability and Osteoarthritis Outcome Score.

Authors:  I B de Groot; M Reijman; C B Terwee; S M A Bierma-Zeinstra; M Favejee; E M Roos; J A N Verhaar
Journal:  Osteoarthritis Cartilage       Date:  2006-08-04       Impact factor: 6.576

Review 3.  Understanding of regional variation in the use of surgery.

Authors:  John D Birkmeyer; Bradley N Reames; Peter McCulloch; Andrew J Carr; W Bruce Campbell; John E Wennberg
Journal:  Lancet       Date:  2013-09-28       Impact factor: 79.321

4.  Evaluation by explicit criteria of the use of total hip joint replacement.

Authors:  J M Quintana; I Aróstegui; J Azkarate; J I Goenaga; I Guisasola; A Alfageme; A Diego
Journal:  Rheumatology (Oxford)       Date:  2000-11       Impact factor: 7.580

5.  [Measuring the quality of life in economic evaluations: the Dutch EQ-5D tariff].

Authors:  L M Lamers; P F M Stalmeier; J McDonnell; P F M Krabbe; J J van Busschbach
Journal:  Ned Tijdschr Geneeskd       Date:  2005-07-09

Review 6.  The performance of risk prediction models.

Authors:  Thomas A Gerds; Tianxi Cai; Martin Schumacher
Journal:  Biom J       Date:  2008-08       Impact factor: 2.207

7.  Variability of indication criteria in knee and hip replacement: an observational study.

Authors:  Raquel Cobos; Amaia Latorre; Felipe Aizpuru; Jose I Guenaga; Cristina Sarasqueta; Antonio Escobar; Lidia García; Carmen Herrera-Espiñeira
Journal:  BMC Musculoskelet Disord       Date:  2010-10-26       Impact factor: 2.362

8.  Identification of patients with suboptimal results after hip arthroplasty: development of a preliminary prediction algorithm.

Authors:  Eugen Lungu; Pascal-André Vendittoli; François Desmeules
Journal:  BMC Musculoskelet Disord       Date:  2015-10-05       Impact factor: 2.362

Review 9.  Preoperative predictors for outcomes after total hip replacement in patients with osteoarthritis: a systematic review.

Authors:  Stefanie N Hofstede; Maaike G J Gademan; Thea P M Vliet Vlieland; Rob G H H Nelissen; Perla J Marang-van de Mheen
Journal:  BMC Musculoskelet Disord       Date:  2016-05-17       Impact factor: 2.362

10.  Streamlining an existing hip fracture patient pathway in an acute tertiary adult Irish hospital to improve patient experience and outcomes.

Authors:  Caitriona Murphy; Eithne Mullen; Karrie Hogan; Ronan O'toole; Seán Paul Teeling
Journal:  Int J Qual Health Care       Date:  2019-12-22       Impact factor: 2.038

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  1 in total

1.  Effect of Rehabilitation Nursing under the Guidance of the Health Action Process Approach Model on Perioperative Nursing Effect of Artificial Hip Arthroplasty: Effect on Promoting Quality of Life and Postoperative Rehabilitation.

Authors:  Xiangfeng Meng; Yibing Yu
Journal:  Comput Math Methods Med       Date:  2022-04-12       Impact factor: 2.809

  1 in total

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