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      Better Knee, Better Me™: effectiveness of two scalable health care interventions supporting self-management for knee osteoarthritis – protocol for a randomized controlled trial

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          Abstract

          Background

          Although education, exercise, and weight loss are recommended for management of knee osteoarthritis, the additional benefits of incorporating weight loss strategies into exercise interventions have not been well investigated. The aim of this study is to compare, in a private health insurance setting, the clinical- and cost-effectiveness of a remotely-delivered, evidence- and theory-informed, behaviour change intervention targeting exercise and self-management ( Exercise intervention), with the same intervention plus active weight management ( Exercise plus weight management intervention), and with an information-only control group for people with knee osteoarthritis who are overweight or obese.

          Methods

          Three-arm, pragmatic parallel-design randomised controlled trial involving 415 people aged ≥45 and ≤ 80 years, with body mass index ≥28 kg/m 2 and < 41 kg/m 2 and painful knee osteoarthritis. Recruitment is Australia-wide amongst Medibank private health insurance members. All three groups receive access to a bespoke website containing information about osteoarthritis and self-management. Participants in the Exercise group also receive six consultations with a physiotherapist via videoconferencing over 6 months, including prescription of a strengthening exercise and physical activity program, advice about management, and additional educational resources. The Exercise plus weight management group receive six consultations with a dietitian via videoconferencing over 6 months, which include a very low calorie ketogenic diet with meal replacements and resources to support behaviour change, in addition to the interventions of the Exercise group. Outcomes are measured at baseline, 6 and 12 months. Primary outcomes are self-reported knee pain and physical function at 6 months. Secondary outcomes include weight, physical activity levels, quality of life, global rating of change, satisfaction with care, knee surgery and/or appointments with an orthopaedic surgeon, and willingness to undergo surgery. Additional measures include adherence, adverse events, self-efficacy, and perceived usefulness of intervention components. Cost-effectiveness of each intervention will also be assessed.

          Discussion

          This pragmatic study will determine whether a scalable remotely-delivered service combining weight management with exercise is more effective than a service with exercise alone, and with both compared to an information-only control group. Findings will inform development and implementation of future remotely-delivered services for people with knee osteoarthritis.

          Trial registration

          Australian New Zealand Clinical Trials Registry: ACTRN12618000930280 (01/06/2018).

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          Most cited references43

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          Development and testing of a short form of the patient activation measure.

          The Patient Activation Measure (PAM) is a 22-item measure that assesses patient knowledge, skill, and confidence for self-management. The measure was developed using Rasch analyses and is an interval level, unidimensional, Guttman-like measure. The current analysis is aimed at reducing the number of items in the measure while maintaining adequate precision. We relied on an iterative use of Rasch analysis to identify items that could be eliminated without loss of significant precision and reliability. With each item deletion, the item scale locations were recalibrated and the person reliability evaluated to check if and how much of a decline in precision of measurement resulted from the deletion of the item. The data used in the analysis were the same data used in the development of the original 22-item measure. These data were collected in 2003 via a telephone survey of 1,515 randomly selected adults. Principal Findings. The analysis yielded a 13-item measure that has psychometric properties similar to the original 22-item version. The scores for the 13-item measure range in value from 38.6 to 53.0 (on a theoretical 0-100 point scale). The range of values is essentially unchanged from the original 22-item version. Subgroup analysis suggests that there is a slight loss of precision with some subgroups. The results of the analysis indicate that the shortened 13-item version is both reliable and valid.
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            Who succeeds in maintaining weight loss? A conceptual review of factors associated with weight loss maintenance and weight regain.

            Weight loss is difficult to achieve and maintaining the weight loss is an even greater challenge. The identification of factors associated with weight loss maintenance can enhance our understanding for the behaviours and prerequisites that are crucial in sustaining a lowered body weight. In this paper we have reviewed the literature on factors associated with weight loss maintenance and weight regain. We have used a definition of weight maintenance implying intentional weight loss that has subsequently been maintained for at least 6 months. According to our review, successful weight maintenance is associated with more initial weight loss, reaching a self-determined goal weight, having a physically active lifestyle, a regular meal rhythm including breakfast and healthier eating, control of over-eating and self-monitoring of behaviours. Weight maintenance is further associated with an internal motivation to lose weight, social support, better coping strategies and ability to handle life stress, self-efficacy, autonomy, assuming responsibility in life, and overall more psychological strength and stability. Factors that may pose a risk for weight regain include a history of weight cycling, disinhibited eating, binge eating, more hunger, eating in response to negative emotions and stress, and more passive reactions to problems.
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              The effect of osteoarthritis definition on prevalence and incidence estimates: a systematic review.

              To understand the differences in prevalence and incidence estimates of osteoarthritis (OA), according to case definition, in knee, hip and hand joints. A systematic review was carried out in PUBMED and SCOPUS databases comprising the date of publication period from January 1995 to February 2011. We attempted to summarise data on the incidence and prevalence of OA according to different methods of assessment: self-reported, radiographic and symptomatic OA (clinical plus radiographic). Prevalence estimates were combined through meta-analysis and between-study heterogeneity was quantified. Seventy-two papers were reviewed (nine on incidence and 63 on prevalence). Higher OA prevalences are seen when radiographic OA definition was used for all age groups. Prevalence meta-analysis showed high heterogeneity between studies even in each specific joint and using the same OA definition. Although the knee is the most studied joint, the highest OA prevalence estimates were found in hand joints. OA of the knee tends to be more prevalent in women than in men independently of the OA definition used, but no gender differences were found in hip and hand OA. Insufficient data for incidence studies didn't allow us to make any comparison according to joint site or OA definition. Radiographic case definition of OA presented the highest prevalences. Within each joint site, self-reported and symptomatic OA definitions appear to present similar estimates. The high heterogeneity found in the studies limited further conclusions. Copyright © 2011 Osteoarthritis Research Society International. Published by Elsevier Ltd. All rights reserved.
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                Author and article information

                Contributors
                k.bennell@unimelb.edu.au
                Journal
                BMC Musculoskelet Disord
                BMC Musculoskelet Disord
                BMC Musculoskeletal Disorders
                BioMed Central (London )
                1471-2474
                12 March 2020
                12 March 2020
                2020
                : 21
                : 160
                Affiliations
                [1 ]GRID grid.1008.9, ISNI 0000 0001 2179 088X, Centre for Health, Exercise and Sports Medicine, Department of Physiotherapy, School of Health Sciences, , The University of Melbourne, ; Parkville, Melbourne, VIC 3010 Australia
                [2 ]Medibank Private, Melbourne, VIC Australia
                [3 ]GRID grid.1002.3, ISNI 0000 0004 1936 7857, Department of Epidemiology and Preventive Medicine, , Monash University, ; Melbourne, VIC Australia
                [4 ]GRID grid.1008.9, ISNI 0000 0001 2179 088X, Department of Medicine, , The University of Melbourne, ; Melbourne, VIC Australia
                [5 ]GRID grid.9757.c, ISNI 0000 0004 0415 6205, Research Institute for Primary Care and Health Sciences, , Keele University, ; Keele, UK
                [6 ]GRID grid.1002.3, ISNI 0000 0004 1936 7857, Centre for Health Economics, , Monash University, ; Melbourne, VIC Australia
                [7 ]GRID grid.1032.0, ISNI 0000 0004 0375 4078, School of Physiotherapy and Exercise Science, , Curtin University, ; Perth, WA Australia
                [8 ]GRID grid.413105.2, ISNI 0000 0000 8606 2560, St Vincent’s Hospital, ; Melbourne, VIC Australia
                [9 ]GRID grid.1008.9, ISNI 0000 0001 2179 088X, Department of Surgery, St Vincent’s Hospital, , University of Melbourne, ; Melbourne, VIC Australia
                [10 ]Duke Pain Prevention and Treatment Research Program, Durham, North Carolina USA
                [11 ]GRID grid.213910.8, ISNI 0000 0001 1955 1644, Hackensack University Medical Center and Georgetown University School of Medicine, ; Washington, USA
                Article
                3166
                10.1186/s12891-020-3166-z
                7068989
                32164604
                ba915a00-8336-4c50-8309-cd81121eeeab
                © The Author(s). 2020

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.

                History
                : 27 June 2019
                : 26 February 2020
                Funding
                Funded by: Medibank Private
                Funded by: National Health and Medical Research Council
                Award ID: APP1079078
                Categories
                Study Protocol
                Custom metadata
                © The Author(s) 2020

                Orthopedics
                osteoarthritis,exercise,telerehabilitation,weight management,ketogenic diet,knee,pain,obesity,rct,physiotherapy,dietitian

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