ReviewNeuropsychiatric disease and treatment2021
Implementing Measurement-Based Care for Depression: Practical Solutions for Psychiatrists and Primary Care Physicians.
Review in Neuropsychiatric disease and treatment, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 3 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
30 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Algorithm-guided treatment for major depressive disorder versus treatment as usual: a systematic review.Frontiers in psychiatry · 2026Pooled it
- Harnessing digital health interventions to address the heterogeneity of depression: a systematic review.Frontiers in digital health · 2025Pooled it
- Canadian Network for Mood and Anxiety Treatments (CANMAT) 2023 Update on Clinical Guidelines for Management of Major Depressive Disorder in Adults: Réseau canadien pour les traitements de l'humeur et de l'anxiété (CANMAT) 2023 : Mise à jour des lignes directrices cliniques pour la prise en charge du trouble dépressif majeur chez les adultes.Canadian journal of psychiatry. Revue canadienne de psychiatrie · 2024Guideline
- Electronic Measurement-based care (eMBC) for perinatal depression and anxiety: a pilot randomized controlled trial.BMC psychiatry · 2025Trial
- A Randomized Evaluation of MoodFX, a Patient-Centred e-Health Tool to Support Outcome Measurement for Depression: Une évaluation randomisée de MoodFX, un outil de santé en ligne centré sur le patient pour soutenir la mesure du résultat dans la dépression.Canadian journal of psychiatry. Revue canadienne de psychiatrie · 2024Trial
- Interpretable machine learning for depression symptom classification in NHANES: Performance in a curated high-confidence corpus and the full survey population.IBRO neuroscience reports · 2026Article
- Real-World Implementation and Evaluation of a Digitally Enabled Care Pathway to Improve Depression Management in Primary Care: Controlled Pre-Post Analysis of the Pathway Platform.JMIR formative research · 2026Article
- A Cautious Integration With AI in the Clinic: A Standardized-Patient Pilot Study of ChatGPT's Reliability in Hamilton Depression Rating Scale Scoring.Alpha psychiatry · 2026Article
- Screening for Psychiatric Disorders in Dermatological Settings: A Review of Clinically Useful Assessment Tools.Annals of dermatology · 2026Review
- Whose Truth Is Ground Truth?: Consequences of Label Choice on Machine Learning Models Predicting Depression.Research square · 2026Article
- Impact of Multimorbidity on Mental Illness in the United Arab Emirates: A Review.Journal of multidisciplinary healthcare · 2026Review
- Article
- Urgency to treat and early optimized treatment in major depressive disorder: consequences of delayed treatment, barriers to implementation, and practical strategies for clinicians.CNS spectrums · 2025Review
- Pre-implementation patient, provider, and administrator perspectives of remote measurement-based care in a safety net outpatient psychiatry department.Learning health systems · 2025Article
- Utilization of Psychiatric Clinical Rating Scales in Tertiary Care Teaching Hospital: A Retrospective Descriptive Study in a Naturalistic Setting.Indian journal of psychological medicine · 2025Article
- What is the role of screening instruments in the management of psychiatric comorbidities in epilepsy? Tools and practical tips for the most common comorbidities: Depression and anxiety.Epilepsy & behavior reports · 2024Article
- Real-world clinical outcomes and treatment patterns in patients with MDD treated with vortioxetine: a retrospective study.BMC psychiatry · 2023Article
- Program of algorithm for pharmacological treatment of major depressive disorder in China: Benefits or not?Heliyon · 2023Article
- Patient characteristics, validity of clinical diagnoses and Outcomes Associated with Suicidality in Inpatients with Symptoms of Depression (OASIS-D): design, procedures and outcomes.BMC psychiatry · 2023Observational
- Multidisciplinary Strategies for Preventing Opioid Misuse and Escalation by Targeting Mental Health Symptoms and Conditions.Prevention science : the official journal of the Society for Prevention Research · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Measurement-based care (MBC) can be defined as the clinical practice in which care providers collect patient data through validated outcome scales and use the results to guide their decision-making processes. Despite growing evidence supporting the effectiveness of MBC for depression and other mental health conditions, many physicians and mental health clinicians have yet to adopt MBC practice. In part, this is due to individual and organizational barriers to implementing MBC in busy clinical settings. In this paper, we briefly review the evidence for the efficacy of MBC focusing on pharmacological management of depression and provide example clinical scenarios to illustrate its potential clinical utility in psychiatric settings. We discuss the barriers and challenges for MBC adoption and then address these by suggesting simple solutions to implement MBC for depression care, including recommended outcome scales, monitoring tools, and technology solutions such as cloud-based MBC services and mobile health apps for mood tracking. The availability of MBC tools, ranging from paper-pencil questionnaires to mobile health technology, can allow psychiatrists and clinicians in all types of practice settings to easily incorporate MBC into their practices and improve outcomes for their patients with depression.
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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.