Implementation research in forensic mental health: a scoping review
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Forensic mental health (FMH) serves as a critical juncture between the mental health and criminal justice systems. Factors on multiple levels - including sociopolitical, organizational, and individual- pose challenges to conducting implementation research in these settings. This hinders the uptake of evidence-based interventions and improvements to patient outcomes. This study examined implementation research conducted in FMH settings to understand its current state and inform future implementation research and practice. METHODS: We conducted a scoping review following the Joanna Briggs Institute methodology. A comprehensive literature search was performed across seven databases from their inception through April 2024, supplemented by searches in Google Scholar and six review studies, to identify relevant research. We analyzed included studies descriptively to explore determinants, strategies, and outcomes associated with the implementation of evidence-, or policy-based interventions in FMH. RESULTS: Of the 1327 records retrieved, 41 implementation studies were included. All studies were conducted in high-income countries and focused on interventions such as risk assessment, rehabilitation, patient support, and technology interventions, primarily using qualitative approaches. Key determinants for implementing interventions in FMH included individual characteristics (e.g., motivation, capacity) and inner setting factors (e.g., intervention compatibility with existing practices, access to knowledge and information). Various strategies, such as using evaluative and iterative strategies, training and educating stakeholders, changing infrastructure, and engaging consumers have been used to facilitate intervention uptake in FMH. Implementation outcomes primarily focused on uptake, fidelity, and acceptability. CONCLUSIONS: There is a clear need for more implementation research using rigorous study designs in FMH. Multilevel implementation strategies should be employed to address barriers from both the inner settings and individual characteristics, thereby promoting the successful implementation of interventions in FMH. Future implementation research should incorporate a health equity lens throughout the research process to enhance inclusivity and improve reporting on implementation strategies to support replications of interventions in FMH.
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.
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 | 0.045 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.005 | 0.018 |
| Science and technology studies | 0.008 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.005 | 0.004 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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 it