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Different information needs in subgroups of people with diabetes mellitus: a latent class analysis
BACKGROUND: Current evidence suggests that the information needs of people with diabetes mellitus differ across patient groups. With a view to being able to provide individualized information, this study aims to identify (i) the diabetes-related information needs of people with diabetes mellitus; (i...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7730786/ https://www.ncbi.nlm.nih.gov/pubmed/33302924 http://dx.doi.org/10.1186/s12889-020-09968-9 |
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author | Borgmann, Sandra O. Gontscharuk, Veronika Sommer, Jana Laxy, Michael Ernstmann, Nicole Karl, Florian M. Rückert-Eheberg, Ina-Maria Schwettmann, Lars Ladwig, Karl-Heinz Peters, Annette Icks, Andrea |
author_facet | Borgmann, Sandra O. Gontscharuk, Veronika Sommer, Jana Laxy, Michael Ernstmann, Nicole Karl, Florian M. Rückert-Eheberg, Ina-Maria Schwettmann, Lars Ladwig, Karl-Heinz Peters, Annette Icks, Andrea |
author_sort | Borgmann, Sandra O. |
collection | PubMed |
description | BACKGROUND: Current evidence suggests that the information needs of people with diabetes mellitus differ across patient groups. With a view to being able to provide individualized information, this study aims to identify (i) the diabetes-related information needs of people with diabetes mellitus; (ii) different subgroups of people with specific information needs; and (iii) associated characteristics of the identified subgroups, such as sociodemographic characteristics, diabetes-related comorbidities, and well-being. METHODS: This cross-sectional study was based on data from 837 respondents with diabetes mellitus who participated in the population-based KORA (Cooperative Health Research in the Augsburg Region) Health Survey 2016 in Southern Germany (KORA GEFU 4 study) (45.6% female, mean age 71.1 years, 92.8% Type 2 diabetes). Diabetes-related information needs were assessed with a questionnaire asking about patients’ information needs concerning 11 diabetes-related topics, e.g. ‘long-term complications’ and ‘treatment/therapy’. Subgroups of people with different information needs and associated characteristics were identified using latent class analysis. RESULTS: We identified the following four classes of people with different information needs: ‘high needs on all topics’, ‘low needs on all topics’, ‘moderate needs with a focus on complications and diabetes in everyday life’, and ‘advanced needs with a focus on social and legal aspects and diabetes research’. The classes differed significantly in age, years of education, type of diabetes, diabetes duration, diabetes-related comorbidities, smoking behaviour, diabetes education, current level of information, and time preference. CONCLUSIONS: Knowledge about different patient subgroups can be useful for tailored information campaigns or physician-patient interactions. Further research is needed to analyse health care needs in these groups, changes in information needs over the course of the disease, and prospective health outcomes. SUPPLEMENTARY INFORMATION: Supplementary information accompanies this paper at 10.1186/s12889-020-09968-9. |
format | Online Article Text |
id | pubmed-7730786 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-77307862020-12-11 Different information needs in subgroups of people with diabetes mellitus: a latent class analysis Borgmann, Sandra O. Gontscharuk, Veronika Sommer, Jana Laxy, Michael Ernstmann, Nicole Karl, Florian M. Rückert-Eheberg, Ina-Maria Schwettmann, Lars Ladwig, Karl-Heinz Peters, Annette Icks, Andrea BMC Public Health Research Article BACKGROUND: Current evidence suggests that the information needs of people with diabetes mellitus differ across patient groups. With a view to being able to provide individualized information, this study aims to identify (i) the diabetes-related information needs of people with diabetes mellitus; (ii) different subgroups of people with specific information needs; and (iii) associated characteristics of the identified subgroups, such as sociodemographic characteristics, diabetes-related comorbidities, and well-being. METHODS: This cross-sectional study was based on data from 837 respondents with diabetes mellitus who participated in the population-based KORA (Cooperative Health Research in the Augsburg Region) Health Survey 2016 in Southern Germany (KORA GEFU 4 study) (45.6% female, mean age 71.1 years, 92.8% Type 2 diabetes). Diabetes-related information needs were assessed with a questionnaire asking about patients’ information needs concerning 11 diabetes-related topics, e.g. ‘long-term complications’ and ‘treatment/therapy’. Subgroups of people with different information needs and associated characteristics were identified using latent class analysis. RESULTS: We identified the following four classes of people with different information needs: ‘high needs on all topics’, ‘low needs on all topics’, ‘moderate needs with a focus on complications and diabetes in everyday life’, and ‘advanced needs with a focus on social and legal aspects and diabetes research’. The classes differed significantly in age, years of education, type of diabetes, diabetes duration, diabetes-related comorbidities, smoking behaviour, diabetes education, current level of information, and time preference. CONCLUSIONS: Knowledge about different patient subgroups can be useful for tailored information campaigns or physician-patient interactions. Further research is needed to analyse health care needs in these groups, changes in information needs over the course of the disease, and prospective health outcomes. SUPPLEMENTARY INFORMATION: Supplementary information accompanies this paper at 10.1186/s12889-020-09968-9. BioMed Central 2020-12-10 /pmc/articles/PMC7730786/ /pubmed/33302924 http://dx.doi.org/10.1186/s12889-020-09968-9 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data. |
spellingShingle | Research Article Borgmann, Sandra O. Gontscharuk, Veronika Sommer, Jana Laxy, Michael Ernstmann, Nicole Karl, Florian M. Rückert-Eheberg, Ina-Maria Schwettmann, Lars Ladwig, Karl-Heinz Peters, Annette Icks, Andrea Different information needs in subgroups of people with diabetes mellitus: a latent class analysis |
title | Different information needs in subgroups of people with diabetes mellitus: a latent class analysis |
title_full | Different information needs in subgroups of people with diabetes mellitus: a latent class analysis |
title_fullStr | Different information needs in subgroups of people with diabetes mellitus: a latent class analysis |
title_full_unstemmed | Different information needs in subgroups of people with diabetes mellitus: a latent class analysis |
title_short | Different information needs in subgroups of people with diabetes mellitus: a latent class analysis |
title_sort | different information needs in subgroups of people with diabetes mellitus: a latent class analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7730786/ https://www.ncbi.nlm.nih.gov/pubmed/33302924 http://dx.doi.org/10.1186/s12889-020-09968-9 |
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