Psychometric properties of a nationwide survey for adults with and without diabetes: the “disease knowledge and information needs – diabetes mellitus (2017)” survey

Abstract Background In order to close existing information gaps on diabetes-related health perceptions, diabetes knowledge, and information-seeking behaviors among adults in Germany, a representative population-based survey targeting the German-speaking population 18 years and older with and without...

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Main Authors: Lena M. Stühmann, Rebecca Paprott, Christin Heidemann, Thomas Ziese, Sylvia Hansen, Daniela Zahn, Christa Scheidt-Nave, Paul Gellert
Format: Article
Language:English
Published: BMC 2020-02-01
Series:BMC Public Health
Subjects:
Online Access:https://doi.org/10.1186/s12889-020-8296-6
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author Lena M. Stühmann
Rebecca Paprott
Christin Heidemann
Thomas Ziese
Sylvia Hansen
Daniela Zahn
Christa Scheidt-Nave
Paul Gellert
author_facet Lena M. Stühmann
Rebecca Paprott
Christin Heidemann
Thomas Ziese
Sylvia Hansen
Daniela Zahn
Christa Scheidt-Nave
Paul Gellert
author_sort Lena M. Stühmann
collection DOAJ
description Abstract Background In order to close existing information gaps on diabetes-related health perceptions, diabetes knowledge, and information-seeking behaviors among adults in Germany, a representative population-based survey targeting the German-speaking population 18 years and older with and without diabetes was conducted. The aim of the present work was to analyze the psychometric properties of the multi-item scales, applied in the survey in order to provide guidance for decisions on the use of these measurements for future research. Methods Based on data from participants who completed the final survey (N = 1479 with known diabetes; N = 2327 without known diabetes) reliability and unidimensionality of multi-item scales were tested using Cronbach’s Alpha and confirmatory factor analysis (CFA). Results Psychometric properties and model fit varied across scales. Cronbach’s alpha values ranged from very good to unacceptable. Model fit indices suggested evidence of a single underlying factor in some but not all scales. Adequate reliability and at least mediocre model fit were found for diabetes distress and patient-provider-relationship in people with diabetes and for perceived level of information in individuals without diabetes. Scales revealing inacceptable reliability values or not suggesting unidimensionality were e.g. diabetes-related stigmatization in both individuals with and without diabetes, self-efficacy in individuals with diabetes, and perceived personal control in those without diabetes. Conclusion Based on results of the current study, some of the scales applied in the survey can be recommended for present and future analyses of the survey data and for future surveys (e.g. diabetes distress, patient-provider-relationship in people with diabetes). Other scales should be interpreted and used with caution (e.g. depressive symptoms in people with diabetes) while others should be reformulated, interpreted only as single items, or need further investigation (e.g. diabetes-related stigmatization in people with and without diabetes). Findings provide researchers the opportunity to evaluate diabetes-specific scales in population-based studies of adults with and without diabetes.
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spelling doaj.art-4fc9c84fc7df419194a29c84723ee12b2022-12-21T19:37:04ZengBMCBMC Public Health1471-24582020-02-0120111110.1186/s12889-020-8296-6Psychometric properties of a nationwide survey for adults with and without diabetes: the “disease knowledge and information needs – diabetes mellitus (2017)” surveyLena M. Stühmann0Rebecca Paprott1Christin Heidemann2Thomas Ziese3Sylvia Hansen4Daniela Zahn5Christa Scheidt-Nave6Paul Gellert7Department of Epidemiology and Health Monitoring, Robert Koch InstituteDepartment of Epidemiology and Health Monitoring, Robert Koch InstituteDepartment of Epidemiology and Health Monitoring, Robert Koch InstituteDepartment of Epidemiology and Health Monitoring, Robert Koch InstituteCeres - Cologne Center for Ethics, Rights, Economics, and Social Sciences of HealthFederal Centre for Health Education (BZgA), Office for National Education and Communication on Diabetes MellitusDepartment of Epidemiology and Health Monitoring, Robert Koch InstituteCharité – Universitätsmedizin Berlin, Institute for Medical Sociology and Rehabilitation ScienceAbstract Background In order to close existing information gaps on diabetes-related health perceptions, diabetes knowledge, and information-seeking behaviors among adults in Germany, a representative population-based survey targeting the German-speaking population 18 years and older with and without diabetes was conducted. The aim of the present work was to analyze the psychometric properties of the multi-item scales, applied in the survey in order to provide guidance for decisions on the use of these measurements for future research. Methods Based on data from participants who completed the final survey (N = 1479 with known diabetes; N = 2327 without known diabetes) reliability and unidimensionality of multi-item scales were tested using Cronbach’s Alpha and confirmatory factor analysis (CFA). Results Psychometric properties and model fit varied across scales. Cronbach’s alpha values ranged from very good to unacceptable. Model fit indices suggested evidence of a single underlying factor in some but not all scales. Adequate reliability and at least mediocre model fit were found for diabetes distress and patient-provider-relationship in people with diabetes and for perceived level of information in individuals without diabetes. Scales revealing inacceptable reliability values or not suggesting unidimensionality were e.g. diabetes-related stigmatization in both individuals with and without diabetes, self-efficacy in individuals with diabetes, and perceived personal control in those without diabetes. Conclusion Based on results of the current study, some of the scales applied in the survey can be recommended for present and future analyses of the survey data and for future surveys (e.g. diabetes distress, patient-provider-relationship in people with diabetes). Other scales should be interpreted and used with caution (e.g. depressive symptoms in people with diabetes) while others should be reformulated, interpreted only as single items, or need further investigation (e.g. diabetes-related stigmatization in people with and without diabetes). Findings provide researchers the opportunity to evaluate diabetes-specific scales in population-based studies of adults with and without diabetes.https://doi.org/10.1186/s12889-020-8296-6Diabetes mellitusHealth monitoringPopulation-based surveyPsychosocialHealth careGermany
spellingShingle Lena M. Stühmann
Rebecca Paprott
Christin Heidemann
Thomas Ziese
Sylvia Hansen
Daniela Zahn
Christa Scheidt-Nave
Paul Gellert
Psychometric properties of a nationwide survey for adults with and without diabetes: the “disease knowledge and information needs – diabetes mellitus (2017)” survey
BMC Public Health
Diabetes mellitus
Health monitoring
Population-based survey
Psychosocial
Health care
Germany
title Psychometric properties of a nationwide survey for adults with and without diabetes: the “disease knowledge and information needs – diabetes mellitus (2017)” survey
title_full Psychometric properties of a nationwide survey for adults with and without diabetes: the “disease knowledge and information needs – diabetes mellitus (2017)” survey
title_fullStr Psychometric properties of a nationwide survey for adults with and without diabetes: the “disease knowledge and information needs – diabetes mellitus (2017)” survey
title_full_unstemmed Psychometric properties of a nationwide survey for adults with and without diabetes: the “disease knowledge and information needs – diabetes mellitus (2017)” survey
title_short Psychometric properties of a nationwide survey for adults with and without diabetes: the “disease knowledge and information needs – diabetes mellitus (2017)” survey
title_sort psychometric properties of a nationwide survey for adults with and without diabetes the disease knowledge and information needs diabetes mellitus 2017 survey
topic Diabetes mellitus
Health monitoring
Population-based survey
Psychosocial
Health care
Germany
url https://doi.org/10.1186/s12889-020-8296-6
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