Evaluation of the implementation of the Montreal at home/chez soi project
Bibliographic record
Abstract
BACKGROUND: Homelessness and mental disorders constitute a major problem in Canada. The purpose of the At Home/Chez Soi pilot project was to house and provide supports to marginalised groups. Policymakers are in a better position to nurture new, complex interventions if they know which key factors hinder or enable their implementation. This paper evaluates the implementation process for the Montreal site of this project. METHODS: We collected data from 62 individuals, through individual interviews, focus groups, questionnaires, observations and documentation. The implementation process was analysed using a conceptual framework with five constructs: Intervention Characteristics (IC), Context of Implementation (CI), Implementation Process (IP), Organizational Characteristics (OC) and Strategies of Implementation (SI). RESULTS: The most serious obstacle to the project came from the CI construct, i.e., lack of support from provincial authorities and key local resources in the homelessness field. The second was within the OC construct. The chief hindrances were numerous structures, divergent values among stakeholders, frequent turnover of personnel and team leaders; lacking staff supervision and miscommunication. The third is related to IC: the complex, unyielding nature of the project undermined its chances of success. The greatest challenges from IP were the pressure to perform, along with stress caused by planning, deadlines and tension between teams. Conversely, SI construct conditions (e.g., effective governing structures, comprehensive training initiatives and toolkits) were generally very positive even with problems in power sharing and local leadership. For the four other constructs, the following proved useful: evidence of the project's scope and quality, great needs of services consolidation, generous financing and status as a research pilot project, enthusiasm and commitment toward the project, substantially improved services, and overall user satisfaction. CONCLUSION: This study demonstrated the difficulty of implementing a complex project in the healthcare system. While the project faced many barriers, minimal conditions were also achieved. At the end of the study period, major tensions between organizations and teams were significantly reduced, supporting its full implementation. However, in late 2013, the project was unsustainable, calling into question the relevance of achieving a significant number of positive conditions in each area of the framework.
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 | 0.033 | 0.034 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.004 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".