Strengthening the delivery of integrated physical health care for adults experiencing serious mental illness: a scoping review of interventions in mental health settings
Bibliographic record
Abstract
Individuals living with serious mental illness (SMI) face significant barriers to accessing appropriate physical health care, poorer associated health outcomes and premature mortality compared to the general population. This scoping review examines service delivery models and clinical practices supporting the integration of physical health care for adults with SMI within mental health settings, and their outcomes. Searches of four academic databases yielded 65 academic articles. Most integrated service delivery models were implemented in community mental health settings in the United States and incorporated elements of Wagner's Chronic Care Model, emphasizing delivery-system redesign, patient self-management support and use of clinical information systems. In most outcome studies, integrated care models were associated with improvements in primary care access and preventative screening rates, while other physical health indicators and emergency and inpatient service use demonstrated promising but mixed results. Implementation challenges of integrated service delivery models included securing financial resources and maintaining effective use of clinical information systems, among others. Successful implementation was facilitated by effective teamwork, care coordination, and administrative and leadership support. Study findings highlight the complexity of integrating physical health care in mental health settings, and the longer timeframes needed to observe changes in some outcomes. The review further underscores the need for ongoing efforts to advance integrated care delivery in mental health settings and the importance of longitudinal data collection to fully assess and optimize the implementation and outcomes of these interventions. Systematic Review Registration: https://doi.org/10.17605/OSF.IO/3T9VK .
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".