ArticleBehaviour research and therapy2020
Latent variable mixture modelling and individual treatment prediction.
Article in Behaviour research and therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.
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Who cites it
28 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The contribution of depressive 'disorder characteristics' to determinations of prognosis for adults with depression: an individual patient data meta-analysis.Psychological medicine · 2021Pooled it
- What Is Precision Psychotherapy?The Journal of medicine and philosophy · 2026Article
- Identifying distinct trajectories of change in anhedonia during psychological treatment for depression.Psychological medicine · 2026Article
- Psychological and behavioral mechanisms linking childhood trauma profiles to voice-related distress in schizophrenia spectrum disorders: latent class, mediation, and conditional process analyses.Psychological medicine · 2026Article
- Latent profile characteristics of nature connectedness and place attachment among urban older adults practicing Tai Chi: psychological heterogeneity of green space exposure.Frontiers in public health · 2026Article
- Latent profiles of problem-solving skills and their association with depressive symptoms in parents of children with cancer: A cross-sectional study.Asia-Pacific journal of oncology nursing · 2025Article
- Biopsychosocial profiles following ACL reconstruction: A latent class analysis of barriers to return-to-activity.Physical therapy in sport : official journal of the Association of Chartered Physiotherapists in Sports Medicine · 2025Article
- Toward Personalizing Care in Adolescent Inpatient Psychiatric Units: A Latent Profile Analysis.Child psychiatry and human development · 2025Article
- A framework for parsing psychopathological heterogeneity: initial application in a large-scale unselected community sample.BMC psychiatry · 2025Article
- Subtyping Service Receipt in Personality Disorder Services in South London: Observational Validation Study Using Latent Profile Analysis.Interactive journal of medical research · 2025Article
- Psychological Therapy Outcomes and Engagement in People of Different Religions.JAMA network open · 2025Article
- Identification of distinct clinical profiles of sepsis risk in paediatric emergency department patients using Bayesian profile regression.BMJ paediatrics open · 2025Article
- The role of trauma, attachment, and voice-hearer's appraisals: a latent profile analysis in the AVATAR2 trial.Psychological medicine · 2025Article
- The addition of employment support alongside psychological therapy enhances the chance of recovery for clients most at risk of poor clinical outcomes.Behavioural and cognitive psychotherapy · 2024Article
- Trajectories of depression and anxiety symptom severity during psychological therapy for common mental health problems.Psychological medicine · 2023Article
- Predicting Youth and Young Adult Treatment Engagement in a Transdiagnostic Remote Intensive Outpatient Program: Latent Profile Analysis.JMIR formative research · 2023Article
- Article
- Associations between psychological therapy outcomes for depression and incidence of dementia.Psychological medicine · 2023Article
- Understanding the psychological therapy treatment outcomes for young adults who are not in education, employment, or training (NEET), moderators of outcomes, and what might be done to improve them.Psychological medicine · 2023Article
- Personalised psychotherapy in primary care: evaluation of data-driven treatment allocation to cognitive-behavioural therapy versus counselling for depression.BJPsych open · 2023Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Understanding which groups of patients are more or less likely to benefit from specific treatments has important implications for healthcare. Many personalised medicine approaches in mental health employ variable-centred approaches to predicting treatment response, yet person-centred approaches that identify clinical profiles of patients can provide information on the likelihood of a range of important outcomes. In this paper, we discuss the use of latent variable mixture modelling and demonstrate its use in the application of a patient profiling algorithm using routinely collected patient data to predict outcomes from psychological treatments. This validation study analysed data from two services, which included n = 44,905 patients entering treatment. There were different patterns of reliable recovery, improvement and clinical deterioration from therapy, across the eight profiles which were consistent over time. Outcomes varied between different types of therapy within the profiles: there were significantly higher odds of reliable recovery with High Intensity therapies in two profiles (32.5% of patients) and of reliable improvement in three profiles (32.2% of patients) compared with Low Intensity treatments. In three profiles (37.4% of patients) reliable recovery was significantly more likely if patients had CBT vs Counselling. The developments and potential application of latent variable mixture approaches are further discussed.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.