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      Inter-rater agreement of the Quality of Life-Alzheimer’s Disease (QoL-AD) self-rating and proxy rating scale: secondary analysis of RightTimePlaceCare data

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          Abstract

          Background

          To assess the quality of life of people with dementia, measures are required for self-rating by the person with dementia, and for proxy rating by others. The Quality of Life in Alzheimer’s Disease scale (QoL-AD) is available in two versions, QoL-AD-SR (self-rating) and QoL-AD-PR (proxy rating).

          The aim of our study was to analyse the inter-rater agreement between self- and proxy ratings, in terms of both the total score and the items, including an analysis specific to care setting, and to identify factors associated with this agreement.

          Methods

          Cross-sectional QoL-AD data from the 7th Framework European RightTimePlaceCare study were analysed. A total of 1330 cases were included: n = 854 receiving home care and n = 476 receiving institutional long-term nursing care. The proxy raters were informal carers (home care) and best-informed professional carers (institutional long-term nursing care).

          Inter-rater agreement was investigated using Bland-Altman plots for the QoL-AD total score and by weighted kappa statistics for single items. Associations were investigated by regression analysis.

          Results

          The overall QoL-AD assessment of those with dementia revealed a mean value of 33.2 points, and the proxy ratings revealed a mean value of 29.8 points.

          The Bland-Altman plots revealed a poor agreement between self- and proxy ratings for the overall sample and for both care settings. With one exception (item ‘Marriage’ weighted kappa 0.26), the weighted kappa values for the single QoL-AD items were below 0.20, indicating poor agreement.

          Home care setting, dementia-related behavioural and psychological symptoms, and the functional status of the person with dementia, along with the caregiver burden, were associated with the level of agreement. Only the home care setting was associated with an increase larger than the predefined acceptable difference between self- and proxy ratings.

          Conclusions

          Proxy quality of life ratings from professional and informal carers appear to be lower than the self-ratings of those with dementia.

          QoL-AD-SR and QoL-AD-PR are therefore not interchangeable, as the inter-rater agreement differs distinctly. Thus, a proxy rating should be judged as a complementary perspective for a self-assessment of quality of life by those with dementia, rather than as a valid substitute.

          Electronic supplementary material

          The online version of this article (10.1186/s12955-018-0959-y) contains supplementary material, which is available to authorized users.

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          Most cited references40

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          Assessing self-maintenance: activities of daily living, mobility, and instrumental activities of daily living.

          S. Katz (1983)
          The aging of the population of the United States and a concern for the well-being of older people have hastened the emergence of measures of functional health. Among these, measures of basic activities of daily living, mobility, and instrumental activities of daily living have been particularly useful and are now widely available. Many are defined in similar terms and are built into available comprehensive instruments. Although studies of reliability and validity continue to be needed, especially of predictive validity, there is documented evidence that these measures of self-maintaining function can be reliably used in clinical evaluations as well as in program evaluations and in planning. Current scientific evidence indicates that evaluation by these measures helps to identify problems that require treatment or care. Such evaluation also produces useful information about prognosis and is important in monitoring the health and illness of elderly people.
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            Integrating response shift into health-related quality of life research: a theoretical model.

            Patients confronted with a life-threatening or chronic disease are faced with the necessity to accommodate to their illness. An important mediator of this adaptation process is 'response shift' which involves changing internal standards, values and the conceptualization of quality of life (QOL). Integrating response shift into QOL research would allow a better understanding of how QOL is affected by changes in health status and would direct the development of reliable and valid measures for assessing changes in QOL. A theoretical model is proposed to clarify and predict changes in QOL as a result of the interaction of: (a) a catalyst, referring to changes in the respondent's health status; (b) antecedents, pertaining to stable or dispositional characteristics of the individual (e.g. personality); (c) mechanisms, encompassing behavioral, cognitive, or affective processes to accommodate the changes in health status (e.g. initiating social comparisons, reordering goals); and (d) response shift, defined as changes in the meaning of one's self-evaluation of QOL resulting from changes in internal standards, values, or conceptualization. A dynamic feedback loop aimed at maintaining or improving the perception of QOL is also postulated. This model is illustrated and the underlying assumptions are discussed. Future research directions are outlined that may further the investigation of response shift, by testing specific hypotheses and predictions about the QOL domains and the clinical and psychosocial conditions that would potentiate or prevent response shift effects.
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              Large sample standard errors of kappa and weighted kappa.

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                Author and article information

                Contributors
                josephine.roemhild@med.uni-jena.de
                steffen.fleischer@medizin.uni-halle.de
                gabriele.meyer@medizin.uni-halle.de
                astrid.stephan@medizin.uni-halle.de
                s.zwakhalen@maastrichtuniversity.nl
                helena.leino-kilpi@utu.fi
                azabaleg@clinic.cat
                kai.saks@kliinikum.ee
                soto-martin.me@chu-toulouse.fr
                caroline.sutcliffe@manchester.ac.uk
                ingalill.rahm_hallberg@med.lu.se
                almuth.berg@medizin.uni-halle.de
                Journal
                Health Qual Life Outcomes
                Health Qual Life Outcomes
                Health and Quality of Life Outcomes
                BioMed Central (London )
                1477-7525
                28 June 2018
                28 June 2018
                2018
                : 16
                : 131
                Affiliations
                [1 ]ISNI 0000 0001 0679 2801, GRID grid.9018.0, Institute of Health and Nursing Science, Medical Faculty, , Martin Luther University Halle-Wittenberg, ; Halle, Germany
                [2 ]ISNI 0000 0000 8517 6224, GRID grid.275559.9, Institute of General Practice and Family Medicine, , Jena University Hospital, ; Jena, Germany
                [3 ]ISNI 0000 0000 9024 6397, GRID grid.412581.b, School of Nursing Science, , Witten/Herdecke University, ; Witten, Germany
                [4 ]ISNI 0000 0001 0481 6099, GRID grid.5012.6, Department of Health Services Research, Care and Public Health Research Institute (CAPHRI), , Maastricht University, ; Maastricht, Netherlands
                [5 ]ISNI 0000 0001 2097 1371, GRID grid.1374.1, Department of Nursing Science, Faculty of Medicine, , University of Turku and Turku University Hospital, ; Turku, Finland
                [6 ]ISNI 0000 0000 9635 9413, GRID grid.410458.c, Hospital Clinic of Barcelona, ; Barcelona, Spain
                [7 ]ISNI 0000 0001 0943 7661, GRID grid.10939.32, Department of Internal Medicine, Faculty of Medicine, , University of Tartu, ; Tartu, Estonia
                [8 ]ISNI 0000 0001 1457 2980, GRID grid.411175.7, Geriatrics Department, Gerontôpole, , Toulouse University Hospital, INSERM UMR 1027, ; Toulouse, France
                [9 ]ISNI 0000000121662407, GRID grid.5379.8, School of Health Sciences, Faculty of Biology, Medicine and Health, , University of Manchester, ; Manchester, UK
                [10 ]ISNI 0000 0001 0930 2361, GRID grid.4514.4, Department of Health Sciences, Medical Faculty, , Lund University, ; Lund, Sweden
                Article
                959
                10.1186/s12955-018-0959-y
                6022444
                29954384
                21c927b9-8d1f-4817-afbe-0189ef6f3bab
                © 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.

                History
                : 15 December 2017
                : 20 June 2018
                Categories
                Research
                Custom metadata
                © The Author(s) 2018

                Health & Social care
                dementia,quality of life,psychometrics,reliability,inter-rater agreement
                Health & Social care
                dementia, quality of life, psychometrics, reliability, inter-rater agreement

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