The diversity of prevention and health promotion services offered by Quebec Community Health Centres: a study of infant and toddler programmes
Bibliographic record
Abstract
Research has shown that preventive and health promotion (PHP) services offered by community health centres are often vulnerable in times of health reform or budgetary cutbacks. The present study was conducted in Québec, Canada, approximately 10 years after the start of a major transformation of health care services. The objectives were: (1) to examine the diversity of infant/toddler prevention and health promotion services offered by centres locaux de services communautaires (CLSCs, local community health and social services centres); and (2) to investigate the organisational and environmental correlates of such diversity. All Québec CLSCs were invited to complete a survey questionnaire regarding their PHP services (response rate = 69%). Data on environmental and organisational factors were extracted from existing Québec government data sets. Bivariate and multivariate analyses were performed to identify the correlates of the CLSCs' level of diversity of PHP services. The results revealed that CLSCs varied greatly in terms of their diversity of PHP services. The number of full-time equivalents in the Child and Family Services Programme (one of two programmes aimed at reaching the targeted clientele) and the degree of CLSC collaboration with other community-based organisations in the planning and delivery of PHP activities were positively associated with the level of diversity, whereas the unemployment rate in the population served was a negative predictor. This study makes an important contribution in being one of the very few which contribute to building our knowledge about the performance of community health centres. Identifying the correlates of diversity among PHP services offered by CLSCs helps us to begin to understand the processes at work in the production of PHP activities, as well as the potential leveraging forces.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".