The Internet and access to evidence: how are nurses positioned?
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
BACKGROUND: Published literature that describes the use of the Internet by nurses is scant, but it does reveal that there has been a delay in the acceptance of the Internet as a workplace tool by the medical community and, in particular by nurses. AIMS: The purpose of this article is to report on a study of how often and from what location nurses accessed the Internet, as well as the types of information they were seeking. In addition, our goal was to compare nurses' Internet use with that of physicians and the public at large, and to highlight structural and institutional challenges to nurses' use. METHODS: Surveys (1996 and 1998) of Alberta Registered Nurses were used to examine their use of technology at work and at home. Additional data sources were used to compare nurses to physicians and to the general public. RESULTS: While nurses' Internet and e-mail use at home increased over the 2-year period and was comparable with other groups, Internet use at work was low compared with other groups despite adequate workplace access. CONCLUSIONS: Nurses are more likely to value interpersonal contact, and prefer to use personal experience and communication with colleagues and patients rather than on-line and traditional sources of practice knowledge. In order for an information source to be seen as valuable in the clinical setting, contextually relevant information needs to be accessed quickly and efficiently. Energies should be focused on constructing information systems that address the particular needs of nurses.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.003 |
| 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