19
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Confirmatory factor analysis of the thyroid-related quality of life questionnaire ThyPRO

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background and aim

          Thyroid diseases are prevalent and chronic. With treatment, quality of life is restored in most, but not all patients. Construct validity of the thyroid-related quality of life questionnaire, ThyPRO, has been established by multi-trait scaling, but not evaluated with more elaborate methods. The purpose of the present study was to evaluate dimensionality of the ThyPRO scales and to attempt to understand possible item misfit through structural equation modeling for categorical data.

          Methods

          The current 85-item version of ThyPRO consists of 13 scales, covering domains of physical (4 scales) and mental (2 scales) symptoms, function and well-being (3 scales) and participation/social function (4 scales). The data were collected from a cross-sectional sample of 907 thyroid patients. One-factor confirmatory models were fitted to each scale, and evaluated by model fit statistics (comparative fit index >0.95, root mean square error of approximation <0.08), magnitude of factor loadings, model residual correlations and modification indices (MI). Indications of multi-dimensionality were tested in bi-factor models. Possible item misfit was evaluated in a combined, investigational model.

          Results

          Each ThyPRO scale was adequately represented by a unidimensional model after minor revisions. Eleven items were identified in the unidimensional models as potentially misfitting and were investigated further by multidimensional modeling.

          Conclusion

          Elaborate psychometric modeling supported the construct validity of the ThyPRO. However, 11 potentially misfitting items and 18 items with local dependence to other items are candidates for removal in future item reduction processes.

          Related collections

          Most cited references38

          • Record: found
          • Abstract: found
          • Article: not found

          Linking clinical variables with health-related quality of life. A conceptual model of patient outcomes.

          Our model proposes a taxonomy or classification scheme for different measures of health outcome. We divide these outcomes into five levels: biological and physiological factors, symptoms, functioning, general health perceptions, and overall quality of life. In addition to classifying these outcome measures, we propose specific causal relationships between them that link traditional clinical variables to measures of HRQL. As one moves from left to right in the model, one moves outward from the cell to the individual to the interaction of the individual as a member of society. The concepts at each level are increasingly integrated and increasingly difficult to define and measure. AT each level, there are an increasing number of inputs that cannot be controlled by clinicians or the health care system as it is traditionally defined.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            The Colorado thyroid disease prevalence study.

            The prevalence of abnormal thyroid function in the United States and the significance of thyroid dysfunction remain controversial. Systemic effects of abnormal thyroid function have not been fully delineated, particularly in cases of mild thyroid failure. Also, the relationship between traditional hypothyroid symptoms and biochemical thyroid function is unclear. To determine the prevalence of abnormal thyroid function and the relationship between (1) abnormal thyroid function and lipid levels and (2) abnormal thyroid function and symptoms using modern and sensitive thyroid tests. Cross-sectional study. Participants in a statewide health fair in Colorado, 1995 (N = 25 862). Serum thyrotropin (thyroid-stimulating hormone [TSH]) and total thyroxine (T4) concentrations, serum lipid levels, and responses to a hypothyroid symptoms questionnaire. The prevalence of elevated TSH levels (normal range, 0.3-5.1 mIU/L) in this population was 9.5%, and the prevalence of decreased TSH levels was 2.2%. Forty percent of patients taking thyroid medications had abnormal TSH levels. Lipid levels increased in a graded fashion as thyroid function declined. Also, the mean total cholesterol and low-density lipoprotein cholesterol levels of subjects with TSH values between 5.1 and 10 mIU/L were significantly greater than the corresponding mean lipid levels in euthyroid subjects. Symptoms were reported more often in hypothyroid vs euthyroid individuals, but individual symptom sensitivities were low. The prevalence of abnormal biochemical thyroid function reported here is substantial and confirms previous reports in smaller populations. Among patients taking thyroid medication, only 60% were within the normal range of TSH. Modest elevations of TSH corresponded to changes in lipid levels that may affect cardiovascular health. Individual symptoms were not very sensitive, but patients who report multiple thyroid symptoms warrant serum thyroid testing. These results confirm that thyroid dysfunction is common, may often go undetected, and may be associated with adverse health outcomes that can be avoided by serum TSH measurement.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              The role of the bifactor model in resolving dimensionality issues in health outcomes measures.

              We propose the application of a bifactor model for exploring the dimensional structure of an item response matrix, and for handling multidimensionality. We argue that a bifactor analysis can complement traditional dimensionality investigations by: (a) providing an evaluation of the distortion that may occur when unidimensional models are fit to multidimensional data, (b) allowing researchers to examine the utility of forming subscales, and, (c) providing an alternative to non-hierarchical multidimensional models for scaling individual differences. To demonstrate our arguments, we use responses (N = 1,000 Medicaid recipients) to 16 items in the Consumer Assessment of Healthcare Providers and Systems (CAHPS2.0) survey. Exploratory and confirmatory factor analytic and item response theory models (unidimensional, multidimensional, and bifactor) were estimated. CAHPS items are consistent with both unidimensional and multidimensional solutions. However, the bifactor model revealed that the overwhelming majority of common variance was due to a general factor. After controlling for the general factor, subscales provided little measurement precision. The bifactor model provides a valuable tool for exploring dimensionality related questions. In the Discussion, we describe contexts where a bifactor analysis is most productively used, and we contrast bifactor with multidimensional IRT models (MIRT). We also describe implications of bifactor models for IRT applications, and raise some limitations.
                Bookmark

                Author and article information

                Contributors
                Torquil.Watt@regionh.dk
                Mold@sund.ku.dk
                Nina.Deng@umassmed.edu
                Barbara.Gandek@umassmed.edu
                Ulla.Feldt-Rasmussen@regionh.dk
                Aase.Krogh.Rasmussen@regionh.dk
                Laszlo.hegedues@rsyd.dk
                Steen.Bonnema@rsyd.dk
                jbjorner@sund.ku.dk
                Journal
                Health Qual Life Outcomes
                Health Qual Life Outcomes
                Health and Quality of Life Outcomes
                BioMed Central (London )
                1477-7525
                10 September 2014
                10 September 2014
                2014
                : 12
                : 1
                : 126
                Affiliations
                [ ]Department of Endocrinology, Copenhagen University Hospital Rigshospitalet, Blegdamsvej 9, 2100 Copenhagen Ø, Denmark
                [ ]Institute of Public Health, University of Copenhagen, Øster Farimagsgade 5, 1014 Copenhagen K, Denmark
                [ ]Department of Palliative Medicine, Bispebjerg Hospital, Bispebjerg Bakke 3, 2400 Copenhagen N, Denmark
                [ ]Department of Quantitative Health Sciences, University of Massachusetts Medical School, 368 Plantation Street, 01605 Worcester, MA USA
                [ ]Department of Endocrinology and Metabolism, Odense University Hospital, Kløvervænget 6, 5000 Odense M, Denmark
                [ ]National Research Centre for the Working Environment, Lersø Parkallé 105, 2100 Copenhagen, Denmark
                [ ]OptumInsight, 24 Albion Rd, 02865 Lincoln, RI USA
                Article
                126
                10.1186/s12955-014-0126-z
                4172819
                25213857
                5fd5ce59-636c-439c-8b8d-c197f13837b3
                © Watt et al.; licensee BioMed Central Ltd. 2014

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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
                : 11 March 2014
                : 6 August 2014
                Categories
                Research
                Custom metadata
                © The Author(s) 2014

                Health & Social care
                patient-reported outcomes,unidimensionality,quality of life,scale validation,thyroid disease

                Comments

                Comment on this article