Public Health Nursesʼ Perceptions of Mobile Computing in a School Program
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
The use of mobile computing (MC) in healthcare practice has grown substantially in recent years, yet little is known about its impact. This descriptive, exploratory, qualitative study explored the perceptions of public health nurses (PHNs) in a school health program about their use of MC. Public health nurses participated in focus group interviews and completed weekly reflections. They perceived that MC (a) increased PHNs' flexibility although they were constrained by work rules, (b) increased peer and employer connectedness yet increased isolation, (c) and increased PHNs' status while creating a wider gap between PHNs and their clients. Public health nurses described their practice as being more efficient and client-focused with MC. Over time, PHNs grew more comfortable with the tool, developed a dependence on it, and learned to deal with technological problems. Although this new technology shows promise, there is a need for further research to examine its impact as a tool to promote public health nursing practice.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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