The effectiveness of four translation strategies on nurses' adoption of an evidence -based bladder protocol
Bibliographic record
Abstract
Background. Mixed evidence exists regarding the effective use of the use of the four translation strategies of educational materials, educational meetings, reminders, and audit and feedback on the adoption and implementation of interventions by nurses. Many clinical practice guidelines for the care of the stroke patient advocate for bladder training, but evidence-based bladder protocols for the stroke patient are not available. The best available bladder protocol identified was a prompted voiding algorithm from the Registered Nurses' Association of Ontario. Review of the literature reported 32--79% of hospitalized stroke patients suffer from urinary incontinence. Strong support for prompted voiding demonstrated the reduction of urinary incontinence in patients with cognitive and physical deficits. There was no evidence relevant to nurses' attitudes toward using and participating in research and their influences on the implementation of the stroke clinical practice guidelines. Additionally, there was no study located that investigated the effective use of the four translation strategies on nurses' adoption of a bladder protocol when providing care to stroke patients.;Purpose. The primary purpose of this study was to examine the effects of an intervention consisting of the four translation strategies of educational materials (clinical practice guideline), educational meetings, reminders, and audit and feedback on nurses' adoption of an evidence-based bladder program for stroke patients in an acute care setting. The second purpose was to evaluate the difference in incontinence episodes of stroke patients before and after nurses received the intervention. The third purpose of the protocol was to evaluate the influence of nurses' attitudes and the demographic characteristics on the adoption and the use of the evidence-based bladder program after receiving the intervention.;Methodology. A time-series design, using 8 one-week time points before the intervention and 16 one-week time points after the intervention, was used to obtain the required sample, n = 29. The nurse and medical record samples were convenience samples from a 40-bed neuroscience acute care unit affiliated with a 695-bed academic medical center. To meet the design requirements, data were collected over an extended period of time and an intervention was introduced during the time period. The intervention consisted of the use of the four translation strategies of educational materials (prompted voiding algorithm), educational meetings (staff education), reminders (e-mail messages and bulletin board updates), audit (chart review form data) and feedback (e-mail messages and bulletin board updates). The purpose of the intervention was to teach and encourage nurses to adopt a prompted
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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 | 0.119 | 0.374 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.004 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".