A Formative Evaluation of Nurses' Use of Electronic Devices in a Home Care Setting
Bibliographic record
Abstract
The purpose of this study was to evaluate the implementation of a clinical information system (CIS) in a community setting. The researchers used a mixed-method design involving interviews, focus groups, and surveys. An independent cross-sectional sample of nurses was surveyed. At time 1 a total of 118 nurses responded and at time 2 a total of 81. Respondents were moderately satisfied with features of the CIS. User satisfaction was positively associated with access to structural and electronic resources and social capital and negatively associated with nurses' age at time 1. Social capital was positively associated with user satisfaction at time 2. Younger age was associated with overall research use at both time 1 and time 2. Research use was negatively associated with evaluation and feedback but positively associated with formal interactions. This evaluation identified the importance of educational support, user-centred design, and responsiveness to successful implementation of CISs in a community setting.
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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 | 0.056 | 0.124 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".