Organizational Change to Transfer Knowledge and Improve Quality and Outcomes of Care for Patients with Severe Mental Illness: A Systematic Overview of Reviews
Bibliographic record
Abstract
OBJECTIVE: To provide a comprehensive overview of the research on organizational changes aimed at improving health care for patients with severe mental illness and to learn lessons for mental health practice from the results. METHOD: We searched for systematic literature reviews published in English during 2000 to 2007 in PubMed, PsycINFO, CINAHL, EMBASE, and the Cochrane Central Register of Systematic Reviews. Three reviewers independently selected and assessed the studies' quality. Studies involving changes of who delivers health care, how care is organized, or where care is delivered were included. We categorized the studies using an existing taxonomy of 6 broad categories of strategies for organizational change. RESULTS: A total of 21 reviews were included. Among these, 17 had reasonably good methodological quality, Almost all reviews included or intended to include randomized controlled trials (RCTs), 6 reviews did not identify studies that met eligibility criteria. Multidisciplinary teams and integrated care models had been reviewed most frequently (a total of 15 reviews). In most studies, these types of changes showed better outcomes in terms of symptom severity, functioning, employment, and housing, compared with conventional services. Different results were found on cost savings. Other types of organizational changes, such as changing professional roles or introducing quality management or knowledge management, were much less frequently reviewed. Very few reviews looked at effects of organizational changes on professional performance. CONCLUSIONS: There is a fairly large body of evidence of the positive impact of multidisciplinary teams and integrated care changes on symptom severity, functioning, employment, and housing of people with severe mental illness, compared with conventional services. Other strategies, such as changes in professional roles, quality or knowledge management, have either not been the subject of systematic reviews or have not been evaluated in RCTs. There is still a lack of insight in the so-called black box of change processes and the impact of change on professional performance.
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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 | 0.019 | 0.080 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.008 | 0.010 |
| Bibliometrics | 0.015 | 0.015 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".