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      Examination of validity, reliability, and interpretability of a self-reported questionnaire on Occupational Balance in Informal Caregivers (OBI-Care) – A Rasch analysis

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          Abstract

          Objectives

          Informal caregivers often experience a restriction in occupational balance. The self-reported questionnaire on Occupational Balance in Informal Caregivers (OBI-Care) is a measurement instrument to assess occupational balance in informal caregivers. Measurement properties of the German version of the OBI-Care had previously been assessed in parents of preterm infants exclusively. Thus, the aim of this study was to examine the measurement properties of the questionnaire in a mixed population of informal caregivers.

          Methods

          A psychometric study was conducted, applying a multicenter cross-sectional design. Measurement properties (construct validity, internal consistency, and interpretability) of each subscale of the German version of the OBI-Care were examined. Construct validity was explored by assessing dimensionality, item fit and overall fit to the Rasch model, and threshold ordering. Internal consistency was examined with inter-item correlations, item-total correlations, Cronbach’s alpha, and person separation index. Interpretability was assessed by inspecting floor and ceiling effects.

          Results

          A total of 196 informal caregivers, 171 (87.2%) female and 25 (12.8%) male participated in this study. Mean age of participants was 52.27 (±12.6) years. Subscale 1 was multidimensional, subscale 2 and subscale 3 were unidimensional. All items demonstrated item fit and overall fit to the Rasch model and displayed ordered thresholds. Cronbach’s Alpha and person separation index values were excellent for each subscale. There was no evidence of ceiling or floor effects.

          Conclusions

          We identified satisfying construct validity, internal consistency, and interpretability. Thus, the findings of this study support the application of the German version of the OBI-Care to assess occupational balance in informal caregivers.

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          Most cited references64

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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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            The COSMIN study reached international consensus on taxonomy, terminology, and definitions of measurement properties for health-related patient-reported outcomes.

            Lack of consensus on taxonomy, terminology, and definitions has led to confusion about which measurement properties are relevant and which concepts they represent. The aim was to clarify and standardize terminology and definitions of measurement properties by reaching consensus among a group of experts and to develop a taxonomy of measurement properties relevant for evaluating health instruments. An international Delphi study with four written rounds was performed. Participating experts had a background in epidemiology, statistics, psychology, and clinical medicine. The panel was asked to rate their (dis)agreement about proposals on a five-point scale. Consensus was considered to be reached when at least 67% of the panel agreed. Of 91 invited experts, 57 agreed to participate and 43 actually participated. Consensus was reached on positions of measurement properties in the taxonomy (68-84%), terminology (74-88%, except for structural validity [56%]), and definitions of measurement properties (68-88%). The panel extensively discussed the positions of internal consistency and responsiveness in the taxonomy, the terms "reliability" and "structural validity," and the definitions of internal consistency and reliability. Consensus on taxonomy, terminology, and definitions of measurement properties was reached. Hopefully, this will lead to a more uniform use of terms and definitions in the literature on measurement properties. Copyright 2010 Elsevier Inc. All rights reserved.
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              The Rasch measurement model in rheumatology: what is it and why use it? When should it be applied, and what should one look for in a Rasch paper?

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                Author and article information

                Contributors
                Role: Data curationRole: Formal analysisRole: InvestigationRole: Project administrationRole: Writing – original draftRole: Writing – review & editing
                Role: Data curationRole: Formal analysisRole: InvestigationRole: Project administrationRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: SupervisionRole: ValidationRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                23 December 2021
                2021
                : 16
                : 12
                : e0261815
                Affiliations
                [1 ] Department of Health Sciences, IMC University of Applied Sciences Krems, Krems, Austria
                [2 ] Duervation, Krems, Austria
                Sunway University, MALAYSIA
                Author notes

                Competing Interests: A part of the salary of two authors (MD and CW) was covered by the project costs. This does not alter our adherence to PLOS ONE policies on sharing data and materials. There are no further conflicts of interest to be declared.

                Author information
                https://orcid.org/0000-0002-5873-7190
                Article
                PONE-D-21-09739
                10.1371/journal.pone.0261815
                8700023
                34941966
                294d97c9-c05f-458a-9a38-7c12cf22f1d7
                © 2021 Röschel et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 24 March 2021
                : 13 December 2021
                Page count
                Figures: 1, Tables: 6, Pages: 15
                Funding
                Funded by: Niederösterreichischer Gesundheits- und Sozialfonds
                Award Recipient :
                The project was partly funded by Niederösterreichischer Gesundheits- und Sozialfonds. Url of the funder's website: https://www.noegus.at/. Niederösterreichischer Gesundheits- und Sozialfonds had no influence on the study design and manuscript content. Funding was received by MD. A part of the salary of two authors (MD and CW) was covered by the project costs. There was no additional external funding received for this study.
                Categories
                Research Article
                Medicine and Health Sciences
                Health Care
                Caregivers
                People and Places
                Population Groupings
                Professions
                Biology and Life Sciences
                Psychology
                Psychometrics
                Social Sciences
                Psychology
                Psychometrics
                Physical Sciences
                Mathematics
                Algebra
                Linear Algebra
                Eigenvalues
                Research and Analysis Methods
                Research Design
                Survey Research
                Questionnaires
                Engineering and Technology
                Measurement
                People and Places
                Population Groupings
                Age Groups
                Children
                Infants
                People and Places
                Population Groupings
                Families
                Children
                Infants
                Research and Analysis Methods
                Research Design
                Survey Research
                Surveys
                Custom metadata
                Participants did not give consent on data sharing. Therefore, in accordance with the European General Data Protection Regulation and the competent ethics committee, only blinded data are available from the Ethics Committee of lower Austria or the IMC University of Applied Sciences Krems, upon reasonable request. Contact information for requests on data sharing are the following: Ethics Committee of lower Austria, Amt der NÖ Landesregierung, Abteilung Gesundheitswesen, Landhausplatz 1, Haus 15B, 3109 St. Pölten, Austria; E-Mail: post.ethikkommission@ 123456noel.gv.at IMC University of Applied Sciences Krems, Forschungsservice, Piaristengasse 1, 3500 Krems, Austria; E-Mail: forschungsservices@ 123456fh-krems.ac.at .

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