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Dive into the research topics where Norbert Hermanns is active.

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Featured researches published by Norbert Hermanns.


Diabetic Medicine | 2013

Diabetes Attitudes, Wishes and Needs second study (DAWN2™): Cross‐national benchmarking of diabetes‐related psychosocial outcomes for people with diabetes

Antonio Nicolucci; K. Kovacs Burns; Richard I. G. Holt; M. Comaschi; Norbert Hermanns; H. Ishii; Andrzej Kokoszka; F. Pouwer; S. E. Skovlund; Heather L. Stuckey; I. Tarkun; Michael Vallis; Johan Wens; Mark Peyrot

The second Diabetes Attitudes, Wishes and Needs (DAWN2) study aimed to assess psychosocial outcomes in people with diabetes across countries for benchmarking.


Diabetologia | 2006

How to screen for depression and emotional problems in patients with diabetes: comparison of screening characteristics of depression questionnaires, measurement of diabetes-specific emotional problems and standard clinical assessment

Norbert Hermanns; B. Kulzer; M. Krichbaum; Thomas Kubiak; T Haak

Aims/hypothesisWe compared the screening performance of different measures of depression: the standard clinical assessment (SCA); the Beck Depression Inventory (BDI); the Center of Epidemiological Studies-Depression Scale (CES-D); and the Problem Areas in Diabetes (PAID) questionnaire, which assesses diabetes-specific distress. We also studied the ability of these measures to detect diabetes-related distress.Materials and methodsA total of 376 diabetic patients (37.2% type 1; 23.9% type 2 without insulin treatment, 38.8% type 2 with insulin) completed the BDI and CES-D; patients who screened positive participated in a diagnostic interview, the Composite International Diagnostic Interview (CIDI). Also, all patients completed the PAID questionnaire. Results of the SCA that related to depression diagnosis were reviewed to correct for false negative screening results.ResultsThe prevalence of clinical depression was 14.1%, with an additional 18.9% of patients receiving a diagnosis of subclinical depression. Sensitivity for clinical depression in SCA (56%) was moderate, whereas BDI, CES-D and the PAID questionnaire showed satisfactory sensitivity (87, 79 and 81%, respectively). For subclinical depression, the sensitivity of the PAID questionnaire (79%) was sufficient, whereas that of SCA (25%) was poor. All methods showed low sensitivity for the detection of diabetes-specific emotional problems (SCA 19%, CIDI 34%, BDI 60%, CES-D 49%).Conclusions/interpretationThe screening performance of SCA for clinical and subclinical depression was modest. Additional screening for depression using the PAID or another depression questionnaire seems reasonable. The ability of depression screening measures to identify diabetes-related distress is modest, suggesting that the PAID questionnaire could be useful when screening diabetic patients for both depression and emotional problems.


Diabetic Medicine | 2005

Affective and anxiety disorders in a German sample of diabetic patients: prevalence, comorbidity and risk factors

Norbert Hermanns; B. Kulzer; M. Krichbaum; Thomas Kubiak; T Haak

Aims  The aims of this study were to examine (1) the prevalence of clinical and subclinical anxiety and affective disorders in a sample of diabetic patients attending a secondary care clinic in Germany and (2) risk factors associated with the occurrence of these disorders.


Diabetes Research and Clinical Practice | 2013

Diabetes Attitudes Wishes and Needs 2 (DAWN2): A multinational, multi-stakeholder study of psychosocial issues in diabetes and person-centred diabetes care

Mark Peyrot; Katharina Kovacs Burns; Melanie J. Davies; Angus Forbes; Norbert Hermanns; Richard I. G. Holt; Sanjay Kalra; Antonio Nicolucci; Frans Pouwer; Johan Wens; Ingrid Willaing; Soren E. Skovlund

AIMS The Diabetes Attitudes Wishes and Needs 2 (DAWN2) study aims to provide a holistic assessment of diabetes care and management among people with diabetes (PWD), family members (FM), and healthcare professionals (HCPs) and explores potential drivers leading to active management. METHODS DAWN2 survey over 16,000 individuals (∼9000 PWD, ∼2000 FM of PWD, and ∼5000 HCPs) in 17 countries across 4 continents. Respondents complete a group-specific questionnaire; items are designed to allow cross-group comparisons on common topics. The questionnaires comprise elements from the original DAWN study (2001), as well as psychometrically validated instruments and novel questions developed for this study to assess self-management, attitudes/beliefs, disease impact/burden, psychosocial distress, health-related quality of life, healthcare provision/receipt, social support and priorities for improvement in the future. The questionnaires are completed predominantly online or by telephone interview, supplemented by face-to-face interviews in countries with low internet access. In each country, recruitment ensures representation of the diabetes population in terms of geographical distribution, age, gender, education and disease status. DISCUSSION DAWN2 aims to build on the original DAWN study to identify new avenues for improving diabetes care. This paper describes the study rationale, goals and methodology.


Diabetologia | 2010

Short-form measures of diabetes-related emotional distress: the Problem Areas in Diabetes Scale (PAID)-5 and PAID-1

Brian E. McGuire; Todd G. Morrison; Norbert Hermanns; Soren E. Skovlund; Ebbe Eldrup; J. Gagliardino; Andrzej Kokoszka; David R. Matthews; Mirjana Pibernik-Okanović; J. Rodríguez-Saldaña; M. de Wit; Frank J. Snoek

Aims/hypothesisWe wanted to identify a five-item short form of the Problem Areas in Diabetes Scale and a single-item measure for rapid screening of diabetes-related emotional distress.MethodsUsing an existing database of 1,153 patients with diabetes, we conducted a principal-components analysis to identify a set of five items and then conducted a reliability analysis and validity checks. From those five items, we identified the item with the strongest psychometric properties as a one-item screening tool.ResultsWe identified a reliable and valid short version of the Problem Areas in Diabetes Scale (PAID) comprising five of the emotional-distress questions of the full PAID items (PAID-5, with items 3, 6, 12, 16, 19). The PAID-5 has satisfactory sensitivity (94%) and specificity (89%) for recognition of diabetes-related emotional distress. We also identified a one-item screening tool, the PAID-1 (Question 12: Worrying about the future and the possibility of serious complications), which has concurrent sensitivity and specificity of about 80% for the recognition of diabetes-related emotional distress.Conclusions/interpretationThe PAID-5 and PAID-1 appear to be psychometrically robust short-form measures of diabetes-related emotional distress.


Diabetic Medicine | 2013

Diabetes Attitudes, Wishes and Needs second study (DAWN2™): Cross‐national benchmarking indicators for family members living with people with diabetes

K. Kovacs Burns; Antonio Nicolucci; Richard I. G. Holt; Ingrid Willaing; Norbert Hermanns; Sanjay Kalra; Johan Wens; F. Pouwer; S. E. Skovlund; Mark Peyrot

The second Diabetes Attitudes, Wishes and Needs (DAWN2) study examined the experiences of family members of people with diabetes for benchmarking and identifying unmet needs or areas for improvement to assist family members and those with diabetes to effectively self‐manage.


Diabetic Medicine | 2007

Effects of self-management training in Type 2 diabetes: a randomized, prospective trial.

Bernd Kulzer; Norbert Hermanns; H. Reinecker; T. Haak

Aims  The efficacy of three education programmes for Type 2 diabetic patients was tested in a randomized trial. A didactic‐oriented training programme (treatment A) was compared with a self‐management‐oriented programme delivered in group sessions (treatment B). The latter programme was compared with a more individualized approach (treatment C).


Diabetes Care | 2011

Monitoring of Individual Needs in Diabetes (MIND): Baseline Data From the Cross-National Diabetes Attitudes, Wishes, and Needs (DAWN) MIND Study

Frank J. Snoek; Nancy Y.A. Kersch; Ebbe Eldrup; Ilana Harman-Boehm; Norbert Hermanns; Andrzej Kokoszka; David R. Matthews; Brian E. McGuire; Mirjana Pibernik-Okanović; Joelle Singer; Maartje de Wit; Soren E. Skovlund

OBJECTIVE To test the feasibility and impact of implementing the computer-assisted Monitoring of Individual Needs in Diabetes (MIND) procedure, which is aimed at improving recognition and management of the psychological needs of diabetic patients in routine care. RESEARCH DESIGN AND METHODS The MIND study was implemented in diabetes clinics across eight countries as part of the annual review. The computerized assessment covered emotional well-being (World Health Organization 5 Well-Being Index), diabetes-related distress (Problem Areas in Diabetes), life events, and the patient’s agenda. Medical data were retrieved from the charts, and agreed-upon actions were recorded. RESULTS Of 1,567 patients monitored using the MIND, 24.9% had either likely depression or high diabetes-related distress; 5.4% had both. Over 80% of these patients were newly identified cases, and 41% of patients with depression were referred to a mental health professional. CONCLUSIONS Monitoring of well-being and diabetes-related distress as part of routine diabetes care is feasible and helps to identify and discuss unmet psychosocial needs.


Diabetes Care | 2009

Prevention of Diabetes Self-Management Program (PREDIAS): Effects on Weight, Metabolic Risk Factors, and Behavioral Outcomes

B Kulzer; Norbert Hermanns; D Gorges; Peter Schwarz; Thomas Haak

OBJECTIVE To evaluate the efficacy of the group program PREDIAS for diabetes prevention. RESEARCH DESIGN AND METHODS PREDIAS consists of 12 lessons and aims at lifestyle modification. The control group received written information about diabetes prevention. In this study, a total of 182 persons with an elevated diabetes risk participated (aged 56.3 ± 10.1 years, 43% female, and BMI 31.5 ± 5.3 kg/m2). RESULTS After 12 months, weight loss was significantly higher (P = 0.001) in PREDIAS than in the control group (−3.8 ± 5.2 vs. −1.4 ± 4.09 kg). There were also significant effects (P = 0.001) on fasting glucose (control group 1.8 ± 13.1 mg/dl vs. PREDIAS −4.3 ± 11.3 mg/dl), duration of physical activity per week (control group 17.9 ± 63.8 min vs. PREDIAS 46.6 ± 95.5 min; P = 0.03), and eating behavior. CONCLUSIONS PREDIAS significantly modified lifestyle factors associated with an elevated diabetes risk.


The Lancet Diabetes & Endocrinology | 2015

Constructs of depression and distress in diabetes: time for an appraisal

Frank J. Snoek; Marijke A. Bremmer; Norbert Hermanns

Depression presents in roughly 20% of people with diabetes worldwide, and adversely affects quality of life and treatment outcomes. The causes of depression in diabetes are poorly understood, but research suggests a bi-directional association, at least for type 2 diabetes. Inconsistent findings regarding prevalence and depression treatment outcomes in patients with diabetes seem partly attributable to inconsistencies in the definition and measurement of depression and in distinguishing it from diabetes-distress, a psychological concept related to depression. We review evidence suggesting that diabetes-distress and depression are correlated and overlapping constructs, but are not interchangeable. Importantly, diabetes-distress seems to mediate the association between depression and glycaemic control. We propose a model to explain the direct and indirect effects of depression and diabetes-distress on glycaemic control. Additionally, using emerging insights from data-driven approaches, we suggest three distinct symptom profiles to define depression in patients with diabetes that could help explain differential associations between depression and metabolic abnormalities, and to tailor interventions for depression. Future research should focus on further refining depression profiles in patients with diabetes, taking into account the natural history of diabetes and depression, clinical characteristics, and diabetes-distress. The assessment of diabetes-distress and depression in research and clinical practice will be essential to identify high-risk patients with different mental health needs.

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B Kulzer

University of Giessen

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T Haak

Goethe University Frankfurt

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Lutz Heinemann

University of Düsseldorf

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