18 results match your criteria: "Centre for Digital psychiatry[Affiliation]"

Background: Harmful alcohol consumption has been identified as a major contributor to disease, mortality, and social harm, accounting for 5.3% of worldwide deaths annually. In Denmark, an estimated 150,000 people suffer from alcohol use disorder (AUD), but a low proportion seek treatment due to person- and treatment-related barriers.

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Choosing the right treatment - combining clinicians' expert knowledge with data-driven predictions.

Front Psychiatry

September 2024

Research Unit for Digital Psychiatry, Centre for Digital Psychiatry, Mental Health Services of Southern Denmark, Odense, Denmark.

Context: This study proposes a Bayesian network model to aid mental health specialists making data-driven decisions on suitable treatments. The aim is to create a probabilistic machine learning model to assist psychologists in selecting the most suitable treatment for individuals for four potential mental disorders: Depression, Panic Disorder, Social Phobia, or Specific Phobia.

Methods: This study utilized a dataset from 1,094 individuals in Denmark containing socio-demographic details and mental health information.

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Objective: The main objective of this study was to investigate the risk of eating disorders, exercise addiction, depression, and low energy availability (LEA) in Danish female and male elite compared with sub-elite athletes.

Design: A cross-sectional study.

Setting: An online survey.

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Article Synopsis
  • The study explores the impact of blended cognitive behavioral therapy (bCBT) on the working alliance and clinical outcomes in treating depression, comparing it to usual treatment (TAU).
  • Researchers analyzed data from the E-COMPARED trial involving 943 participants across Europe to evaluate working alliance scores and depression severity after 3 months.
  • Key findings include potential differences in working alliance between bCBT and TAU, and the relationship between system usability and working alliance within the bCBT group.
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Background: Effective interventions need to be implemented successfully to achieve impact. Two theory-based measures exist for measuring the effectiveness of implementation strategies and monitor implementation progress. The Normalization MeAsure Development questionnaire (NoMAD) explores the four core concepts (Coherence, Cognitive Participation, Collective Action, Reflexive Monitoring) of the Normalization Process Theory.

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Background: Idiopathic intracranial hypertension (IIH) occurs more frequently in obese females of childbearing age. A link between eating disorders and poor outcome has been suggested but remains unproven.

Methods: This prospective field study at two tertiary headache centers included patients with clinically suspected IIH after standardized diagnostic work-up.

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Background: The use of digital technologies for health care has been the focus of social studies, which have concentrated on the digital divide between individuals who use technology and those who do not-with the latter often being considered as individuals with shortcomings. In Denmark, 91% of the population have computers and 97 out of 100 families have internet access, indicating that lack of access to technology is not the primary reason for nonuse. Although previous studies have primarily focused on participants' perspectives of using internet-based treatment for alcohol use disorder (AUD), no study has investigated individuals' reasons to prefer face-to-face treatment over blended face-to-face and internet-based cognitive behavioral therapy (bCBT) for AUD among treatment-seeking populations.

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Introduction: Diabetes distress has been defined as "the negative emotional or affective experience resulting from the challenge of living with the demands of diabetes". Diabetes distress affects 20%-25% of individuals living with diabetes and can have negative effects on both diabetes regulation and quality of life. For people living with diabetes distress, innovative tools/interventions such as online or app-based interventions may potentially alleviate diabetes distress in a cost-effective way.

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Purpose: Severe malnourishment may reduce cognitive performance in anorexia nervosa (AN). We studied cognitive functioning during intensive nutritional and medical stabilization in patients with severe or extreme AN and investigated associations between weight gain and cognitive improvement.

Methods: A few days after admission to a specialized hospital unit, 33 patients with severe or extreme AN, aged 16-42 years, completed assessments of memory, cognitive flexibility, processing speed, and attention.

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Introduction: The ItFits implementation toolkit was developed as part of the ImpleMentAll EU Project, to help guide implementation processes. The ItFits toolkit was tested in the online clinic, Internetpsykiatrien, in the Region of Southern Denmark, where it was employed to optimize screening and intake procedures. We hypothesized that a larger proportion of assessed patients would be referred to treatment.

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Objective: To investigate whether cognitive inflexibility could be identified using the Wisconsin Card Sorting Test (WCST) in patients with severe and extreme anorexia nervosa (AN) compared to healthy control participants (HCs).

Method: We used the WCST to assess 34 patients with AN (mean age: 25.9 years, mean body mass index (BMI): 13.

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Introduction: This study investigates the implementation of a new, more automated screening procedure using the ItFits-toolkit in the online clinic, Internet Psychiatry (iPsych) (www.internetpsykiatrien.dk), delivering guided iCBT for mild to moderate anxiety and depressive disorders.

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Introduction: Patients with binge eating disorder (BED) tend to report a lower quality of life (QoL) than patients with other eating disorders. However, most research on QoL in eating disorders include generic rather than disease-specific measures. Depression and obesity are frequent comorbid conditions in patients with BED affecting QoL.

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Background: The number of days between treatment sessions is often overlooked as a predictor of attrition in psychotherapy. In text-based Internet interventions, days between sessions may be a simple yet powerful predictor of attrition.

Objective: We hypothesized that a larger number of days between sessions increased the likelihood of attrition among participants with Binge Eating Disorder (BED) in a 12-session Internet-based cognitive behavioral therapy (iCBT) program.

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Background: Internet-based cognitive behavioral therapy (iCBT) services for common mental health disorders have been found to be effective. There is a need for strategies that improve implementation in routine practice. One-size-fits-all strategies are likely to be ineffective.

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Objective: Lack of motivation is widely acknowledged as a significant factor in treatment discontinuity and poor treatment outcomes in eating disorders. Treatment adherence is lower in internet-based treatment. The current study aimed to assess the relationship between treatment motivation and treatment outcomes in an internet-based therapist-guided intervention for Binge Eating Disorder (BED).

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Introduction: While online consultations have shown promise to be a means for the effective delivery of high-quality mental healthcare and the first implementations of these digital therapeutic contacts go back nearly two decades, uptake has remained limited over the years. The onset of the COVID-19 pandemic dramatically altered this relative standstill and created a unique turning point, with a massive amount of both professionals and clients having first hands-on experiences with technology in mental healthcare.

Objective: The current study aimed to document the uptake of online consultations and explore if specific characteristics of mental health professionals across and beyond Europe could predict this.

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