Examining a sentiment algorithm on session patient records in an eating disorder treatment setting: a preliminary study.

Background: Clinicians collect session therapy notes within patient session records. Session records contain valuable information about patients' treatment progress. Sentiment analysis is a tool to extract emotional tones and states from text input and could be used to evaluate patients' sentiment during treatment over time.

Exploring mental health dynamics during eating disorder treatment: A psychometric network study with panel data.

To explore mental health associations during eating disorder (ED) treatment. Based on the dual-continua model of mental health, general and ED-specific psychopathology, as well as emotional, psychological, and social well-being were considered as mental health domains. Network analyses with panel data were applied to explore within- (temporal and contemporaneous networks) and between-person effects in a sample of 1250 female ED patients during 12 months of outpatient treatment.

A roadmap for applying machine learning when working with privacy-sensitive data: predicting non-response to treatment for eating disorders.

Objectives: Applying machine-learning methodology to clinical data could present a promising avenue for predicting outcomes in patients receiving treatment for psychiatric disorders. However, preserving privacy when working with patient data remains a critical concern.

Methods: In showcasing how machine-learning can be used to build a clinically relevant prediction model on clinical data, we apply two commonly used machine-learning algorithms (Random Forest and least absolute shrinkage and selection operator) to routine outcome monitoring data collected from 593 patients with eating disorders to predict absence of reliable improvement 12 months after entering outpatient treatment.

The psychometric network structure of mental health in eating disorder patients.

Objective: Psychometric network analysis has led to new possibilities to assess the structure and dynamics of psychiatric disorders. The current study focuses on mental health networks in patients with anorexia nervosa, bulimia nervosa, binge eating disorder and other specified eating disorders (EDs).

Method: Network analyses were applied with five mental health domains (emotional, psychological and social well-being, and general and specific psychopathology) among 905 ED patients.

Exploring associations between personality trait facets and emotional, psychological and social well-being in eating disorder patients.

Purpose: Personality functioning is strongly linked to well-being in the general population. Yet, there is a lack of scientific knowledge about the pathways between personality trait facets and emotional, psychological and social well-being in ED patients. The general aim was to examine potential associations between maladaptive personality trait facets and the three main dimensions of well-being.

Attitudes towards eating disorders clinicians with personal experience of an eating disorder.

Purpose: This study explores the perspectives and opinions towards ED clinicians with lived experience of ED.

Methods: Three hundred and eighty-five ED clinicians and 124 non-clinicians from 13 countries, between 18 and 76 years of age completed an online survey about attitudes towards ED clinicians with a personal ED history. Almost half the respondents (n = 242, 47.

Having an Eating Disorder and Still Being Able to Flourish? Examination of Pathological Symptoms and Well-Being as Two Continua of Mental Health in a Clinical Sample.

Eating Disorders (EDs) are serious psychiatric disorders, impacting physical and psychosocial functioning, often with a chronic course and high mortality rates. The two continua model of mental health states that mental health is a complete state, that is, not merely the absence of mental illness, but also the presence of mental health. This model was studied among ED patients by examining the presence and correlates of well-being and psychopathology.

Identifying fundamental criteria for eating disorder recovery: a systematic review and qualitative meta-analysis.

Background: Outcome studies for eating disorders regularly measure pathology change or remission as the only outcome. Researchers, patients and recovered individuals highlight the importance of using additional criteria for measuring eating disorder recovery. There is no clear consensus on which additional criteria are most fundamental.

Recovered eating disorder therapists using their experiential knowledge in therapy: A qualitative examination of the therapists' and the patients' view.

In the eating disorder (ED) field there is a lack of guidelines regarding the utilization of recovered therapists and the experiential knowledge they can bring to therapy. In this study, a qualitative design was used to examine recovered eating disorder therapists using their experiential knowledge and how this influences therapy and the patients they treat. Respectively, 205 patients (response rate 57%), and 26 recovered therapists (response rate 75%) completed a questionnaire about advantages and disadvantages of the utilization of experiential knowledge in therapy.