Literature DB >> 20546906

Social, educational, and occupational predictors of total hip replacement outcome.

T Schäfer1, F Krummenauer, J Mettelsiefen, S Kirschner, K P Günther.   

Abstract

OBJECTIVE: There is limited evidence on social, educational, and occupational factors as predictors of response to total hip replacement (THR). We aimed to analyze these factors in a large population-based setting.
METHOD: Patients of the Dresden Hip Surgery Registry were recruited and the pre and post (6 months) operative functional status was assessed using the global Western Ontario and McMasters Universities Osteoarthritis Index (WOMAC) score (0-100 points). Non-response was defined a gain of <20 points in WOMAC score over a 6 months period and was analyzed with respect to six socioeconomic parameters. Multiple logistic regression modeling was applied to adjust for age, sex, BMI, co-morbidity, and preoperative functional status.
RESULTS: Data from 1007 patients (mean age 61 years, STD 13; 55% women) were included. The average preoperative WOMAC score was 45.8 which increased to 84.4 after surgery. 38.2%, 36.6%, and 25.3% of the patients attended school for 8, 9, and 12 years, respectively. 54.1% were retired, 26.9% worked full time, and 6.7% received a disability pension. A 14.8% of the patients did not achieve a gain of > or =20 points in WOMAC score and were classified as non-responders. After control for confounders, significantly increased risks of non-response were found for widowed patients compared to singles [odds ratio (OR) 4.30, 1.45-12.71], those who lived alone (OR 1.70, 1.02-2.85), and patients with a disability pension compared to those who worked full time (OR 5.81, 2.33-14.46). The risk of non-response decreased with increasing length of school education (12 vs 8 years: OR 0.49, 0.27-0.89). Compared to workers, employees (OR 0.55, 0.33-0.90) and self-employed patients (OR 0.41, 0.18-0.94) showed significantly decreased risks of non-response.
CONCLUSION: Socioeconomic parameters are independent predictors of response to THR. This can help to improve the health service by identifying subgroups which need special attention in order to increase the response rate. Copyright 2010 Osteoarthritis Research Society International. Published by Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 20546906     DOI: 10.1016/j.joca.2010.05.003

Source DB:  PubMed          Journal:  Osteoarthritis Cartilage        ISSN: 1063-4584            Impact factor:   6.576


  16 in total

Review 1.  [Personality and comorbidity: are there "difficult patients" in hip arthroplasty?].

Authors:  K-P Günther; E Haase; T Lange; C Kopkow; J Schmitt; C Jeszenszky; F Balck; J Lützner; A Hartmann; M Lippmann
Journal:  Orthopade       Date:  2015-07       Impact factor: 1.087

2.  Is social support associated with patient-reported outcomes after joint replacement? A systematic review and meta-analysis.

Authors:  V Wylde; S K Kunutsor; E Lenguerrand; J Jackson; A W Blom; A D Beswick
Journal:  Lancet Rheumatol       Date:  2019-10-02

3.  [More muscle mass in men: explanatory model for superior outcome after total hip arthroplasty].

Authors:  B Preininger; K Schmorl; P von Roth; T Winkler; G Matziolis; C Perka; S Tohtz
Journal:  Orthopade       Date:  2013-02       Impact factor: 1.087

4.  Social determinants and osteoarthritis outcomes.

Authors:  My-Linh N Luong; Rebecca J Cleveland; Kirsten A Nyrop; Leigh F Callahan
Journal:  Aging health       Date:  2012-08-01

5.  Education attainment is associated with patient-reported outcomes: findings from the Swedish Hip Arthroplasty Register.

Authors:  Meridith E Greene; Ola Rolfson; Szilard Nemes; Max Gordon; Henrik Malchau; Göran Garellick
Journal:  Clin Orthop Relat Res       Date:  2014-02-19       Impact factor: 4.176

6.  Nonparticipation in a Danish cohort study of long-term sickness absence.

Authors:  Pernille Pedersen; Ellen A Nohr; Hans Jørgen Søgaard
Journal:  J Multidiscip Healthc       Date:  2012-09-14

7.  The association of disability and pain with individual and community socioeconomic status in people with hip osteoarthritis.

Authors:  Joshua B Knight; Leigh F Callahan; My-Linh N Luong; Jack Shreffler; Britta Schoster; Jordan B Renner; Joanne M Jordan
Journal:  Open Rheumatol J       Date:  2011-10-18

Review 8.  Racial/Ethnic, Socioeconomic, and Geographic Disparities in the Epidemiology of Knee and Hip Osteoarthritis.

Authors:  Leigh F Callahan; Rebecca J Cleveland; Kelli D Allen; Yvonne Golightly
Journal:  Rheum Dis Clin North Am       Date:  2020-10-29       Impact factor: 2.670

9.  Independent associations of socioeconomic factors with disability and pain in adults with knee osteoarthritis.

Authors:  Rebecca J Cleveland; My-Linh N Luong; Joshua B Knight; Britta Schoster; Jordan B Renner; Joanne M Jordan; Leigh F Callahan
Journal:  BMC Musculoskelet Disord       Date:  2013-10-17       Impact factor: 2.362

10.  Outcomes following large joint arthroplasty: does socio-economic status matter?

Authors:  Michelle M Dowsey; Mandana Nikpour; Peter F M Choong
Journal:  BMC Musculoskelet Disord       Date:  2014-05-06       Impact factor: 2.362

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