An online survey of nurses’ perceptions, knowledge and expectations of the National Health Service modernization programme
Bibliographic record
Abstract
We conducted an online survey to investigate nurses' perceptions, knowledge and expectations of the National Health Service (NHS) modernization programme in the UK. The questionnaire was available for 28 days via the Website of the Royal College of Nursing. The questionnaire was completed by 2020 nurses, midwives and health visitors working in all sectors of the health service in a wide range of specialties and environments of care. Less than one-quarter of respondents felt that they had adequate information about NHS information technology (IT) developments. In all, 528 (26%) said this was the first they had heard of the initiatives. Only 383 respondents (19%) felt adequately informed about the development of electronic health records; 470 (23%) felt inadequately informed and 456 (23%) had only heard something about it. The findings of this survey suggest that nursing staff are not widely aware of current IT plans and programmes in the NHS. They suggest that nurses also lack confidence in using advanced IT, which is compounded by lack of training.
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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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".