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      Psychosocial predictors for outcome after total joint arthroplasty: a prospective comparison of hip and knee arthroplasty

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          Abstract

          Background

          As findings regarding predictors for good outcome after total joint arthroplasty are highly inconsistent, aim of this study was to investigate the influence of the psychosocial variables sense of coherence and social support as well as mental distress on physical outcome after surgery. It should be investigated if different predictors are important in patients after total hip arthroplasty (THA) compared to patients after total knee arthroplasty (TKA).

          Methods

          In a prospective design, 44 patients undergoing THA and 61 patients undergoing TKA were examined presurgery and 6 and 12 weeks after surgery using WOMAC (disease-specific outcome), SF-36 (health-related quality of life), BSI (psychological distress), SOC-13 (sense of coherence), and F-SozU (social support). Changes over time were calculated by analyses of variance with repeated measures. Stepwise multiple linear regression analyses were computed for each group to predict scores of WOMAC total and all WOMAC subscales 12 weeks postoperatively.

          Results

          THA as well as TKA patients experienced improvements in all parameters (effect sizes for WOMAC scores between η 2 = .387 and η 2 = .631) with THA patients showing even better results than TKA patients. WOMAC scores 12 weeks after surgery were predicted predominantly by WOMAC baseline scores in TKA with an amount of explained variance between 9.6 and 19.5%. In THA, 12-weeks WOMAC scores were predicted by baseline measures of psychosocial aspects (anxiety, sense of coherence, social support). In this group, predictors accounted for 17.1 to 31.6% of the variance.

          Conclusions

          Different predictors for outcome after total joint arthroplasty were obtained for THA and TKA patients. Although psychosocial aspects seemed to be less important in TKA patients, preoperatively, distressed patients of both groups should be offered interventions to reduce psychological distress to obtain better outcomes after surgery.

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          Most cited references 31

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          The MOS 36-item short-form health survey (SF-36). I. Conceptual framework and item selection.

          A 36-item short-form (SF-36) was constructed to survey health status in the Medical Outcomes Study. The SF-36 was designed for use in clinical practice and research, health policy evaluations, and general population surveys. The SF-36 includes one multi-item scale that assesses eight health concepts: 1) limitations in physical activities because of health problems; 2) limitations in social activities because of physical or emotional problems; 3) limitations in usual role activities because of physical health problems; 4) bodily pain; 5) general mental health (psychological distress and well-being); 6) limitations in usual role activities because of emotional problems; 7) vitality (energy and fatigue); and 8) general health perceptions. The survey was constructed for self-administration by persons 14 years of age and older, and for administration by a trained interviewer in person or by telephone. The history of the development of the SF-36, the origin of specific items, and the logic underlying their selection are summarized. The content and features of the SF-36 are compared with the 20-item Medical Outcomes Study short-form.
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            Validation study of WOMAC: a health status instrument for measuring clinically important patient relevant outcomes to antirheumatic drug therapy in patients with osteoarthritis of the hip or knee.

            Within the context of a double blind randomized controlled parallel trial of 2 nonsteroidal antiinflammatory drugs, we validated WOMAC, a new multidimensional, self-administered health status instrument for patients with osteoarthritis of the hip or knee. The pain, stiffness and physical function subscales fulfil conventional criteria for face, content and construct validity, reliability, responsiveness and relative efficiency. WOMAC is a disease-specific purpose built high performance instrument for evaluative research in osteoarthritis clinical trials.
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              Meta-analysis of risk factors for posttraumatic stress disorder in trauma-exposed adults.

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                Author and article information

                Contributors
                marion.lindner@lvr.de
                o.nosseir@sankt-josef-hospital.de
                anett.keller-pliessnig@lvr.de
                per.teigelack@lvr.de
                martin.teufel@lvr.de
                sefik.tagay@uni-due.de
                Journal
                BMC Musculoskelet Disord
                BMC Musculoskelet Disord
                BMC Musculoskeletal Disorders
                BioMed Central (London )
                1471-2474
                22 May 2018
                22 May 2018
                2018
                : 19
                Affiliations
                [1 ]ISNI 0000 0001 2187 5445, GRID grid.5718.b, Department of Psychosomatic Medicine and Psychotherapy, , University of Duisburg-Essen, ; Virchowstraße 174, 45147 Essen, Germany
                [2 ]Department of General, Orthopedic and Accident Surgery, Sankt Josef-Hospital GmbH, In der Hees 4, 46509 Xanten, Germany
                Article
                2058
                10.1186/s12891-018-2058-y
                5964720
                29788969
                © The Author(s). 2018

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                Categories
                Research Article
                Custom metadata
                © The Author(s) 2018

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