Quantifying Care, Qualifying Experiences: A Systematic Review of Measurement-Based Care in Psychiatry from Patient and Provider Perspectives
Bibliographic record
Abstract
Objective: This systematic review synthesizes clinician and patient perspectives on the benefits and drawbacks of measurement-based care (MBC) in psychiatry. Study Selection and Analysis: We searched Ovid MEDLINE, EMBASE, EBM Reviews, APA PsychINFO, and CINAHL databases from inception to January 2024. After screening 1643 titles and abstracts, 47 full papers were reviewed, and 23 studies were ultimately included. Quality assessment was conducted using the Mixed Methods Appraisal Tool, and key patterns were extracted using thematic analysis. Findings: The review reflects opinions of 746 patients and 2804 clinicians across various settings. Patients valued MBC for enhancing communication, self-awareness, and reducing stigma. However, they expressed concerns about the adequacy of measures in reflecting their clinical state and uncertainty about how responses influence treatment decisions. Clinicians appreciated MBC for improving patient involvement, tracking treatment response, and enhancing communication efficiency. Concerns included inadequate capture of clinical complexity, potential reporting biases, time constraints, insufficient training, and concerns with respect to data usage and privacy. Conclusions: While patients and clinicians recognize significant benefits, including enhanced communication, improved insight, and more structured clinical decision-making, they also identify important limitations. These include concerns about the adequacy of scales to capture complex clinical presentations, potential impacts on the therapeutic alliance, and increased administrative burden. Moving forward, successful integration of MBC into routine care will require addressing these challenges through improved clinician training, clear guidelines for interpretation, greater transparency with respect to how data will be used, and more seamless integration with existing clinical workflows.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.045 | 0.208 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.008 | 0.008 |
| Bibliometrics | 0.015 | 0.017 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".