Evaluation of Telenursing Outcomes: Satisfaction, Self‐Care Practices, and Cost Savings
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Info-Santé CLSC, the Québec telenursing service, is a telephone health line nursing service that was implemented in 1995 in every local community service center (CLSC; n = 141) of 15 regional health authorities in the Province of Québec, Canada. It is, at present, one of the most important first-line health services and it operates in continuity with the other resources in the health and social service system. Info-Santé CLSC operates 24 hours a day, 7 days a week, and received more than 2,260,000 calls in 1997. This article will report the findings from the first province-wide survey of the service, based on a stratified random sample of 4,696 callers. The findings revealed that most respondents were highly satisfied with the service; they followed the nurses' advice and carried out self-care measures as recommended. Nursing interventions helped respondents feel self-reliant, like they could solve the same or similar problems should they occur in the future. The vast majority of respondents considered that the call they made to Info-Santé CLSC was useful in finding a solution to their problems. The vast majority also claimed that they would certainly call Info-Sante CLSC again should another problem occur. The majority reported they would have turned to another type of resource if Info-Santé CLSC had not existed; half of the respondents stated that they would have used emergency departments and a third would have consulted a doctor in private practice.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it