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      Development and validation of an end stage kidney disease awareness survey: Item difficulty and discrimination indices

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          Abstract

          Introduction

          Lack of awareness for chronic kidney disease (CKD), including end stage kidney disease (ESKD) and their management options is a major impediment to patients being able to select and use home dialysis therapies. While some instruments have been developed to measure CKD awareness, we lack validated instruments to evaluate patients’ awareness of ESKD and dialysis modalities. This study is part of multipart project for developing and validating an ESKD-centric disease awareness questionnaire.

          Methods

          A team of specialty renal care experts developed a 45-items questionnaire encompassing the subdomains of General Kidney Knowledge, CKD Knowledge, and ESKD Knowledge. Item reduction analysis—specifically, calculation of item difficulty and item discrimination index scores—was used to items for further review and potential removal.

          Results

          Index scores were reviewed in conjunction with consideration of theoretical and substantive item content to reduce the number of items in the questionnaire, resulting in a 32-item questionnaire, retaining 5/10 items in the general kidney knowledge subdomain, 14/21 items in the CKD knowledge subdomain, and 13/14 items in the ESKD knowledge subdomain. Retained items ranged from 0.19 to 0.79 on the difficulty index, and from 0.31 to 0.81 on the discrimination index. Scores for percent correct on the reduced questionnaire spanned 0% to 87.5% correct on the full scale, 0% to 100% correct on the General Knowledge subdomain, 0% to 100% on the CKD Knowledge subdomain, and 0% to 92.3% on ESKD Knowledge subdomain.

          Conclusions

          The questionnaire developed and refined in this study constitutes a patient disease awareness instrument that spans a range of difficulty, and yet shows strong ability to distinguish between patients with varying levels of disease awareness. This study is the first in part of a multistep project to addresses a gap in measuring ESKD specific knowledge. Accurate assessment of patients’ disease awareness through a validated instrument can allow identification of knowledge domains leading to positive impacts on their healthcare decisions and improve targeted patient education efforts.

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          Most cited references25

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          Best Practices for Developing and Validating Scales for Health, Social, and Behavioral Research: A Primer

          Scale development and validation are critical to much of the work in the health, social, and behavioral sciences. However, the constellation of techniques required for scale development and evaluation can be onerous, jargon-filled, unfamiliar, and resource-intensive. Further, it is often not a part of graduate training. Therefore, our goal was to concisely review the process of scale development in as straightforward a manner as possible, both to facilitate the development of new, valid, and reliable scales, and to help improve existing ones. To do this, we have created a primer for best practices for scale development in measuring complex phenomena. This is not a systematic review, but rather the amalgamation of technical literature and lessons learned from our experiences spent creating or adapting a number of scales over the past several decades. We identified three phases that span nine steps. In the first phase, items are generated and the validity of their content is assessed. In the second phase, the scale is constructed. Steps in scale construction include pre-testing the questions, administering the survey, reducing the number of items, and understanding how many factors the scale captures. In the third phase, scale evaluation, the number of dimensions is tested, reliability is tested, and validity is assessed. We have also added examples of best practices to each step. In sum, this primer will equip both scientists and practitioners to understand the ontology and methodology of scale development and validation, thereby facilitating the advancement of our understanding of a range of health, social, and behavioral outcomes.
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            Shared decision making--pinnacle of patient-centered care.

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              US Renal Data System 2018 Annual Data Report: Epidemiology of Kidney Disease in the United States

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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: Project administrationRole: SoftwareRole: ValidationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Investigation
                Role: ConceptualizationRole: Data curationRole: InvestigationRole: Methodology
                Role: ConceptualizationRole: MethodologyRole: ResourcesRole: SupervisionRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: SupervisionRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                9 September 2022
                2022
                : 17
                : 9
                : e0269488
                Affiliations
                [1 ] North Florida / South Georgia Veteran Healthcare System, Gainesville, FL, United States of America
                [2 ] Division of Nephrology, Hypertension and Transplantation, University of Florida, Gainesville, FL, United States of America
                Nazarbayev University School of Medicine, KAZAKHSTAN
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0001-6047-883X
                https://orcid.org/0000-0002-1519-4632
                https://orcid.org/0000-0002-1471-0324
                Article
                PONE-D-21-34931
                10.1371/journal.pone.0269488
                9462569
                36083893
                d10fa9e5-c115-405f-a5ba-cece97de2213

                This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.

                History
                : 5 November 2021
                : 22 May 2022
                Page count
                Figures: 0, Tables: 5, Pages: 12
                Funding
                Funded by: Department of Veterans Affairs, Health Service Research and Development
                Award ID: I01HX002639
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100015728, Clinical Science Research and Development;
                Award ID: I01CX001661
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100019294, Office of Rural Health;
                Award ID: 16004
                Award Recipient :
                Shukla AM reports funding from Department of Veterans Affairs, Health Service Research and Development (I01HX002639), Office of Rural Health (16004), and Clinical Science Research and Development (I01CX001661). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Medicine and Health Sciences
                Nephrology
                Renal Diseases
                Chronic Kidney Disease
                Biology and Life Sciences
                Anatomy
                Renal System
                Kidneys
                Medicine and Health Sciences
                Anatomy
                Renal System
                Kidneys
                Medicine and Health Sciences
                Nephrology
                Medical Dialysis
                Research and Analysis Methods
                Research Design
                Survey Research
                Questionnaires
                Medicine and Health Sciences
                Health Care
                Patients
                Biology and Life Sciences
                Psychology
                Psychometrics
                Social Sciences
                Psychology
                Psychometrics
                Social Sciences
                Political Science
                Public Policy
                Medicare
                Biology and Life Sciences
                Neuroscience
                Cognitive Science
                Cognitive Psychology
                Decision Making
                Biology and Life Sciences
                Psychology
                Cognitive Psychology
                Decision Making
                Social Sciences
                Psychology
                Cognitive Psychology
                Decision Making
                Biology and Life Sciences
                Neuroscience
                Cognitive Science
                Cognition
                Decision Making
                Custom metadata
                All relevant data are within the paper and its Supporting Information files.

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                Uncategorized

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