Mental Health in Medicine: A novel stepped care model in medical psychiatry and the implementation of measurement-based care
Bibliographic record
Abstract
Introduction Individuals with co-occurring mental and physical health issues have worse health outcomes in both domains. Integration improves outcomes and aligns with patient preference, but health services tend to be siloed. The Mental Health in Medicine Clinic (MHiM) supports patients receiving inpatient or outpatient medical or surgical care at a tertiary academic hospital in Toronto, Canada. The predominantly virtual clinic has an interdisciplinary team offering services via stepped care, matching patient need with service intensity. Measurement-based care (MBC), the systematic evaluation of patient reported outcomes, was not initially used routinely in the clinic, but its implementation may improve treatment decision-making and may be useful in allocating patients within a stepped care model. Objectives 1) To describe the stepped care model, referral patterns, diagnoses, and level of care provided since implementation of stepped care. 2) To conduct a quality improvement initiative to implement MBC in the clinic, with a goal of 50% of patients completing at the time of first assessment and prior to discharge from the clinic. Methods We reviewed the electronic medical record for referral source, diagnoses, and level of stepped care within the clinic. We conducted semi-structured interviews with stakeholders (clinicians, administrative staff, patients) to explore barriers to implementation of MBC. Interviews were analyzed for themes around barriers and facilitators to MBC. Plan, Do, Study, Act cycles were carried out around change concepts informed by stakeholder interviews and relevant literature. Results The MHiM clinic began operations in August 2020. The clinic operated on a physician-only model until March 2022 and then shifted to a stepped care model with an interdisciplinary team. The most frequent referral sources were internal medicine, COVID19 clinics, consultation-liaison psychiatry, red blood cell disorders clinic and cardiology. Since the implementation of stepped care, 250 referrals were assessed. 58% of new referrals were assessed by the psychiatrist, 42% were managed by the NP, and 25% consulted with the social worker. Referrals consisted of trauma and stress-related disorders (32%), depression (21%) or anxiety disorders (20%). Personality, substance use, and psychotic disorders accounted for less than 10% of referrals combined. Some patients did not have any diagnosis (6%). Results from the quality improvement initiative to implement MBC will also be presented. Conclusions The MHiM clinic provides an integrated care pathway addressing comorbid mental and physical health conditions. We describe a novel stepped care model and the implementation of MBC. Future directions include ongoing quality improvement of MBC and its integration within the clinic to assess and re-assess service intensity. Disclosure of Interest None Declared
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 | 0.021 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.018 |
| Scholarly communication | 0.013 | 0.009 |
| Open science | 0.004 | 0.012 |
| Research integrity | 0.004 | 0.006 |
| 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".