Please use this identifier to cite or link to this item: http://dx.doi.org/10.25673/110699
Title: Different information needs in subgroups of people with diabetes mellitus : a latent class analysis
Author(s): Borgmann, Sandra O.
Gontscharuk, Veronika
Sommer, JanaLook up in the Integrated Authority File of the German National Library
Laxy, MichaelLook up in the Integrated Authority File of the German National Library
Ernstmann, NicoleLook up in the Integrated Authority File of the German National Library
Karl, Florian MatthiasLook up in the Integrated Authority File of the German National Library
Rückert-Eheberg, Ina-Maria
Schwettmann, LarsLook up in the Integrated Authority File of the German National Library
Ladwig, Karl-HeinzLook up in the Integrated Authority File of the German National Library
Peters, AnnetteLook up in the Integrated Authority File of the German National Library
Icks, AndreaLook up in the Integrated Authority File of the German National Library
Issue Date: 2020
Type: Article
Language: English
Abstract: 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.
URI: https://opendata.uni-halle.de//handle/1981185920/112654
http://dx.doi.org/10.25673/110699
Open Access: Open access publication
License: (CC BY 4.0) Creative Commons Attribution 4.0(CC BY 4.0) Creative Commons Attribution 4.0
Journal Title: BMC public health
Publisher: BioMed Central
Publisher Place: London
Volume: 20
Original Publication: 10.1186/s12889-020-09968-9
Appears in Collections:Open Access Publikationen der MLU

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