E-health, community housing and nursing interprofessional clinic for equity
Bibliographic record
Abstract
Abstract Problem From a focus on transmittable diseases, attention to prevention and promotion has become a priority since 2011. Influenced by the Political Declaration of the High-level Meeting on the Prevention and Control of Non-communicable Diseases and The Rio Declaration on Social Determinants of Health, many countries across the world have identified targets aiming at chronic diseases prevention, preventable death and reduced morbidity. Individual behavior changes remain a challenge for health practitioners. Shanghai Declaration suggests that health literacy is a critical determinant for healthy choices and decisions. Description A healthy living program has been developed and offered in partnership between local public health and university Laval. We present the case of the community housing Mimosa du Quartier and its preventative nursing clinic. Eight-week Preventative circles and e-prevention interventions from kinesiologist, nutritionist and nurses are explored. IPads were provided to families and we used REACT technology. Results Discussion on e-health relevance, feasibility and impact is proposed. Program description, personalised action plan using SMART goals, health literacy and prevention gains are revealed. Relevance, feasibility and perceived impact are discussed. Learning about the user's experience, we can improve the telehealth program in support of continuity of care within the homes of families. This strategy is key to self-management and empowerment Lessons. Health promotion with e-prevention is strategic for sustainable family health. Combining strategies can improve outcomes. This pilot research shows promising results and practical considerations are given to the importance of the relational and alliance aspect of the care relationship even through technology use, to digital literacy capabilities, to family's motivation and engagement and finally to the advantages provided by the technology use. Key messages E-health prevention is an innovative avenue to fight chronic disease. Increased engagement in self-management leads to equity and less adverse outcomes for vulnerable families.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.054 | 0.002 |
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".