Browsing by Author "Barkham, Michael"

Now showing 1 - 3 of 3
  • No Thumbnail Available
    Item
    Developing a European Psychotherapy Consortium (EPoC): Towards Adopting a Single-Item Self-Report Outcome Measure Across European Countries
    (2024) Goncalves, Miguel M.; Lutz, Wolfgang; Schwartz, Brian; Oliveira, Joao Tiago; Saarni, Suoma E.; Tishby, Orya; Rubel, Julian A.; Boehnke, Jan R.; Montesano, Adrian; Paiva, Dario; Ceridono, Davide; Zech, Emmanuelle; Willemsen, Jochem; Saarni, Samuli I.; Erzar, Katarina Kompan; Janeiro, Luis; Gelo, Omar C. G.; Errazuriz, Paula; Holas, Pawel; Styla, Rafal; Rozic, Tatjana; Rosenstrom, Tom; Bekes, Vera; Unoka, Zsolt; Barkham, Michael
    Background: Complementing the development of evidence-based psychological therapies, practice-based evidence has developed from patient samples collected in routine care, addressing questions relevant to patients and practitioners, and thereby expanding our knowledge of psychological therapies and their impact. Implementation of assessments in routine care allows for timely clinical decision support and the collection of multiple practice-based data sets by addressing the needs of patients and clinicians (e.g., routine outcome monitoring) and the needs of researchers (e.g., identifying the impact of therapist variables on outcomes). Method: In this article we describe an initiative developed in Europe, through the European Chapter of the Society for Psychotherapy Research, aimed at creating a consortium that has the potential for collecting data on tens of thousands of patients per year. Results: A survey identified one of the main problems in the development of a common data set to be the heterogeneity of measures used by members (e.g., 87 different pre-post outcomes). We report on the results of the survey and the initial stage of identifying a single-item - the Emotional and Psychological Outcome (EPO-1) - measure and the process of its translation into multiple European languages. Conclusions: We conclude this first stage of the overall project by discussing the future potential of the Consortium in relation to the development of procedures that allow crosswalks of outcome measures and the creation of a task force that may be consulted when new data sets are collected, aiming for new common measures to be implemented and shared.
  • Thumbnail Image
    Item
    Epilogue: Prevalent Themes, Predictions, and Recommendations
    (John Wiley & Sons, 2021) Castonguay, Louis; Eubanks, Catherine; Iwakabe, Shigeru; Krause Jacob, Mariane; Page, Andrew; Zilcha-Mano, Sigal; Lutz, Wolfgang; Barkham, Michael
  • Thumbnail Image
    Item
    Understanding Symptom Profiles of Depression with the PHQ-9 in a Community Sample Using Network Analysis
    (2024) Núñez Barraza, Catalina Andrea; Delgadillo, Jaime; Barkham, Michael; Behn Berliner, Alex Joseph
    Background: Depression is one of the most prevalent mental health conditions in the world. However, the heterogeneity of depression has presented obstacles for research concerning disease mechanisms, treatment indication, and personalization. So far, depression heterogeneity research has mainly used latent variable modeling, assuming a latent cause, that overlooks the possibility that symptoms might interact and reinforce each other. The current study used network analysis to analyze and compare profiles of depressive symptoms present in community samples, considering the relationship between symptoms. Methods: Cross-sectional measures of depression using the Patient Health Questionnaire-9 (PHQ-9) were collected from community samples using data from participants scoring above a clinical threshold of ≥10 points (N=2,023; 73.9% female; mean age 49.87, SD= 17.40). Data analysis followed three steps. First, a profiling algorithm was implemented to identify all possible symptom profiles by dichotomizing each PHQ-9 item. Second, the most prevalent symptom profiles were identified in the sample. Third, network analysis for the most prevalent symptom profiles was carried out to identify the centrality and covariance of symptoms. Results: Of 382 theoretically possible depression profiles, only 167 were present in the sample. Furthermore, 55.6% of the symptom profiles present in the sample were represented by only eight profiles. Network analysis showed that the network and symptoms relationship varied across the profiles. Conclusions: Findings indicate that the vast number of theoretical possible ways to meet the criteria for major depressive disorder is significantly reduced in empirical samples, and that the most common profiles of symptoms have different networks and connectivity patterns. Scientific and clinical consequences of these findings are discussed in the context of the limitations of this study.