Effectiveness study of “occupational connections” – A short-term, in-patient intervention for promotion functioning and participation in daily life of people with mental health conditions
Bibliographic record
Abstract
Objectives Mental health conditions (MHC) have been associated with restrictions in daily life participation and functioning affecting health and well-being. Substantial numbers of people with MHC experience hospitalizations, however, there is limited evidence supporting functional interventions in the in-patient setting to promote recovery. The OC is an intervention implemented during sub-acute hospitalization, which attempts to promote activity and participation of people with MHC, both during the in-patient stay and upon return to the community, with a view to enabling recovery. To facilitate its implementation, we investigate the OC effectiveness. Aims Investigate the OC contribution to cognition, symptoms and functional capacity among inpatients with schizophrenia. Methods This is a quasi-experimental, prospective, pre/post-designed study with convenience sampling. Inpatients with schizophrenia were enrolled into the study group participating in the OC intervention (n = 16); or the control group participating in hospital treatment as usual (n = 17). The study participants completed evaluations at baseline and at discharge or after 10 weeks with: Neurocognitive State Examination, Trail Making Test, Ray Complex Figure, and Category Fluency Test for aspects of cognition; Positive and Negative Syndrome Scale for symptoms severity, and Observed Tasks of Daily Living-Revised for functional capacity. Results Statistically significant improvement in cognitive functioning, symptoms severity and functional capacity was found in the study group after the intervention. These changes were not observed in the control group. Conclusion The results support the OC effectiveness for cognitive and functional capacity improvement and symptomology relief. The findings advance the body of evidence for functional interventions in hospital settings. Disclosure of interest The authors have not supplied their declaration of competing interest.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".