Dataset Information

What information needs do people with recently diagnosed diabetes mellitus have and what are the associated factors? A cross-sectional study in Germany.

ABSTRACT:

Objectives

This study aimed to identify: (1) information needs of people with recently diagnosed type 1 or type 2 diabetes mellitus (DM); (2) information needs within different subgroups; and (3) factors associated with information needs concerning DM such as current level of information, health-related quality of life or participation preferences.

Design

A mixed-method approach combining quantitative and qualitative methods was used. Information needs for different topics and estimated associated factors were described using logistic regression models. Additionally, a qualitative content analysis was performed.

Setting

Monocentre study.

Participants

Information needs were assessed and analysed in 138 consecutive participants with DM who took part in the German Diabetes Study (54% type 2 diabetes, 64% male, mean age 46.3±12.3 years, known diabetes duration <1 year).

Results

Most participants displayed a need for information in all topics provided, especially in diabetes research (86%) and treatment/therapy (80%). Regarding those topics, participants wished for information regarding new treatments that simplify their everyday life. In general, participants preferred topics that focus on the management or handling of DM over topics related to clinical factors of DM, such as causes and complications. A low current level of information and treatment with antihyperglycaemic medication were significantly associated with higher information needs, and diabetes-related comorbidity and higher mental component summary score in the 36-Item Short-Form Health Survey (SF-36) with lower information needs.

Conclusion

People with recently diagnosed DM display high information needs, which differ according to the current level of information, mode of diabetes treatment, diabetes-related comorbidity and mental component summary score in the SF-36. There appears to be a preference for information, which can help to simplify life with diabetes and for information that corresponds to their level of knowledge. This should be considered in patient information activities.

Trial registration number

NCT01055093.

SUBMITTER: Grobosch S

PROVIDER: S-EPMC6252653 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

What information needs do people with recently diagnosed diabetes mellitus have and what are the associated factors? A cross-sectional study in Germany.

Grobosch Sandra S Kuske Silke S Linnenkamp Ute U Ernstmann Nicole N Stephan Astrid A Genz Jutta J Begun Alexander A Haastert Burkhard B Szendroedi Julia J Müssig Karsten K Burkart Volker V Roden Michael M Icks Andrea A

BMJ open 20181031 10

<h4>Objectives</h4>This study aimed to identify: (1) information needs of people with recently diagnosed type 1 or type 2 diabetes mellitus (DM); (2) information needs within different subgroups; and (3) factors associated with information needs concerning DM such as current level of information, health-related quality of life or participation preferences.<h4>Design</h4>A mixed-method approach combining quantitative and qualitative methods was used. Information needs for different topics and est ...[more]

PMID: 30385437

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Project 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.

Project description:This study set out to analyze questions about type 2 diabetes mellitus (T2DM) from patients and the public. The aim was to better understand people's information needs by starting with what they do not know, discovered through their own questions, rather than starting with what we know about T2DM and subsequently finding ways to communicate that information to people affected by or at risk of the disease. One hundred and sixty-four questions were collected from 120 patients attending outpatient diabetes clinics and 300 questions from 100 members of the public through the Amazon Mechanical Turk crowdsourcing platform. Twenty-three general and diabetes-specific topics and five phases of disease progression were identified; these were used to manually categorize the questions. Analyses were performed to determine which topics, if any, were significant predictors of a question's being asked by a patient or the public, and similarly for questions from a woman or a man. Further analysis identified the individual topics that were assigned significantly more often to the crowdsourced or clinic questions. These were Causes (CI: [-0.07, -0.03], p < .001), Risk Factors ([-0.08, -0.03], p < .001), Prevention ([-0.06, -0.02], p < .001), Diagnosis ([-0.05, -0.02], p < .001), and Distribution of a Disease in a Population ([-0.05,-0.01], p = .0016) for the crowdsourced questions and Treatment ([0.03, 0.01], p = .0019), Disease Complications ([0.02, 0.07], p < .001), and Psychosocial ([0.05, 0.1], p < .001) for the clinic questions. No highly significant gender-specific topics emerged in our study, but questions about Weight were more likely to come from women and Psychosocial questions from men. There were significantly more crowdsourced questions about the time Prior to any Diagnosis ([(-0.11, -0.04], p = .0013) and significantly more clinic questions about Health Maintenance and Prevention after diagnosis ([0.07. 0.17], p < .001). A descriptive analysis pointed to the value provided by the specificity of questions, their potential to disclose emotions behind questions, and the as-yet unrecognized information needs they can reveal. Large-scale collection of questions from patients across the spectrum of T2DM progression and from the public-a significant percentage of whom are likely to be as yet undiagnosed-is expected to yield further valuable insights.

Project description:OBJECTIVES:To establish healthcare professionals' (HCPs) views about clinical roles, and the barriers and enablers to delivery of diabetes care for people with severe mental illness (SMI). DESIGN:Cross-sectional, postal and online survey. SETTING:Trusts within the National Health Service, mental health and diabetes charities, and professional bodies. PARTICIPANTS:HCPs who care for people with type 2 diabetes mellitus (T2DM) and/or SMI in the UK. PRIMARY AND SECONDARY OUTCOME MEASURES:The barriers, enablers and experiences of delivering T2DM care for people with SMI, informed by the Theoretical Domains Framework. RESULTS:Respondents were 273 HCPs, primarily mental health nurses (33.7%) and psychiatrists (32.2%). Only 25% of respondents had received training in managing T2DM in people with SMI. Univariate analysis found that mental health professionals felt responsible for significantly fewer recommended diabetes care standards than physical health professionals (P<0.001). For those seeing diabetes care as part of their role, the significant barriers to its delivery in the multiple regression analyses were a lack of knowledge (P=0.003); a need for training in communication and negotiation skills (P=0.04); a lack of optimism about the health of their clients (P=0.04) and their ability to manage T2DM in people with SMI (P=0.003); the threat of being disciplined (P=0.02); fear of working with people with a mental health condition (P=0.01); a lack of service user engagement (P=0.006); and a need for incentives (P=0.04). The significant enablers were an understanding of the need to tailor treatments (P=0.04) and goals (P=0.02) for people with SMI. CONCLUSIONS:This survey indicates that despite current guidelines, diabetes care in mental health settings remains peripheral. Even when diabetes care is perceived as part of an HCP's role, various individual and organisational barriers to delivering recommended T2DM care standards to people with SMI are experienced.

Project description:BackgroundDiabetes-related distress (DRD) refers to negative emotional and affective experiences from daily demands of living with diabetes. People who received social support seem less likely to experience DRD. The prevalence of T2D in Vietnam is rapidly increasing. Yet, DRD and its association with social support have not been investigated. This study investigates DRD and how it is associated with unmet needs for social support in people with T2D in Thai Binh Province, Vietnam.MethodsA total of 806 people, age ≥ 40 years, treated for T2D at primary hospitals in Thai Binh Province, Vietnam, completed a questionnaire-based cross-sectional survey. DRD was self-reported, based on the Problem Areas In Diabetes scale 5 (PAID5). We assessed 6 types of unmet needs for social support from family/friends/community including: (i) Transport and company when visiting health facilities; (ii) Reminders to take medication; (iii) Purchase and preparation of food; (iv) Reminders to engage in physical exercise; (v) Emotional support; and (vi) Financial support. Multivariable logistic regression was used to model DRD as an outcome of each type of unmet need for social support, and as an outcome of the number of unmet needs for social support, adjusted for three sets of covariates.ResultsIn this study, 50.0% of people with T2D experienced DRD. Odds for DRD were higher among those who had any unmet need for social support. After adjustment for household economic status, only unmet needs for emotional and financial support were associated with higher odds ratios of DRD (OR = 2.59, CI95%: 1.19-5.63 and OR = 1.63, CI95%: 1.10-2.40, respectively). People who had ≥2 type of unmet need were not a higher risk of experiencing DRD as compared to those with no unmet need.ConclusionsHalf of the people with T2D experienced DRD. The results suggest that having enough finances may decrease most needs for social support with the exception of emotional support. Thus, social support to financial and emotional of diabetes aspects may contribute to prevent or reverse DRD.

Dataset Information

What information needs do people with recently diagnosed diabetes mellitus have and what are the associated factors? A cross-sectional study in Germany.

Objectives

Design

Setting

Participants

Results

Conclusion

Trial registration number

Publications

What information needs do people with recently diagnosed diabetes mellitus have and what are the associated factors? A cross-sectional study in Germany.

Similar Datasets

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