Trial reportPsychotherapy research : journal of the Society for Psychotherapy Research2015
Feedback mechanisms of change: How problem alerts reported by youth clients and their caregivers impact clinician-reported session content.
Trial report in Psychotherapy research : journal of the Society for Psychotherapy Research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
24 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Psychotherapists' Experience with In-Session Use of Routine Outcome Monitoring: A Qualitative Meta-analysis.Administration and policy in mental health · 2025Pooled it
- Client feedback in psychological therapy for children and adolescents with mental health problems.The Cochrane database of systematic reviews · 2018Pooled it
- Young People's Experiences Using a Digital Mental Health Tool to Support Their Care in a Real-World Service: Lived Experience-Led Qualitative Study.JMIR mental health · 2025Trial
- Consultation Content and Techniques for measurement-Based Care Implementation in Youth Community Mental Health Settings.Administration and policy in mental health · 2025Trial
- Characterizing Measurement-Based Care in the Texas Youth Depression and Suicide Research Network (TX-YDSRN).Child psychiatry and human development · 2025Article
- Personalized and collaborative use of digital measurement-based care tools enhances engagement among young adults: a mixed-methods study.BMC health services research · 2025Article
- A mixed-methods study exploring the benefits, drawbacks, and utilization of data in care: Findings from the EPI-CAL early psychosis learning health care network.Schizophrenia research · 2025Review
- Using Progress Feedback to Enhance Treatment Outcomes: A Narrative Review.Administration and policy in mental health · 2025Review
- Putting measurement-based care into action: a multi-method study of the benefits of integrating routine client feedback in coordinated specialty care programs for early psychosis.BMC psychiatry · 2024Article
- Routine Outcome Monitoring and Clinical Feedback in Psychotherapy: Recent Advances and Future Directions.Administration and policy in mental health · 2024Article
- Improving measurement-based care implementation in adult ambulatory psychiatry: a virtual focus group interview with multidisciplinary healthcare professionals.BMC health services research · 2023Article
- Characterizing measurement-based care implementation using therapist report.Evidence-based practice in child and adolescent mental health · 2023Article
- Measurement feedback system implementation in public youth mental health treatment services: a mixed methods analysis.Implementation science communications · 2022Article
- A Roadmap for Measurement-based Care Implementation in Intensive Outpatient Treatment Settings for Children and Adolescents.Evidence-based practice in child and adolescent mental health · 2022Article
- What Gets Measured Gets Done: How Mental Health Agencies can Leverage Measurement-Based Care for Better Patient Care, Clinician Supports, and Organizational Goals.Administration and policy in mental health · 2021Article
- Inside the Clockwork of the ECHO Factorial Trial: A Conceptual Model With Proposed Mediators for Prevention of Emotional Problems in Children.Frontiers in psychology · 2021Article
- An Innovator and a Disruptor: Leonard Bickman on Program Theory, Null Findings, and Advice to Future Child Mental Health Services Researchers.Administration and policy in mental health · 2020Article
- Strategies to enhance communication with telemental health measurement-based care (tMBC).Practice innovations (Washington, D.C.) · 2020Article
- Measurement-based care as a practice improvement tool: Clinical and organizational applications in youth mental health.Evidence-based practice in child and adolescent mental health · 2020Article
- Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
objectiveThis study explored how clinician-reported content addressed in treatment sessions was predicted by clinician feedback group and multi-informant cumulative problem alerts that appeared in computerized feedback reports for 299 clients aged 11-18 years receiving home-based community mental health treatment.
methodMeasures included a clinician report of content addressed in sessions and additional measures of treatment progress and process (e.g., therapeutic alliance) completed by clinicians, clients, and their caregivers. Item responses in the top 25th percentile in severity from these measures appeared as "problem alerts" on corresponding computerized feedback reports. Clinicians randomized to the feedback group received feedback weekly while the control group did not. Analyses were conducted using the Cox proportional hazards regression for recurrent events.
resultsFor all content domains, the results of the survival analyses indicated a robust effect of the feedback group on addressing specific content in sessions, with feedback associated with shorter duration to first occurrence and increased likelihood of addressing or focusing on a topic compared to the non-feedback group.
conclusionThere appears to be an important relationship between feedback and cumulative problem alerts reported by multiple informants as they influence session content.
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Registered trials
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.