Implementation of clinical guidelines for adults with asthma and diabetes: a three‐year follow‐up evaluation of nursing care
Bibliographic record
Abstract
AIMS AND OBJECTIVES: To report on a three-year follow-up evaluation in Canada of nursing care indicators following the implementation of the Adult Asthma Care Best Practice Guideline and the Reducing Foot Complications for People with Diabetes Best Practice Guideline and to describe the contextual changes in the clinical settings. BACKGROUND: The Registered Nurses' Association of Ontario in Canada has developed and published more than 42 guidelines related to clinical nursing practice and healthy work environments. To date, evaluation has involved one-year studies of the impact of guideline implementation on the delivery of care in hospital and community settings, but little is known about whether changes in practice that were made during the initial implementation period have been sustained. DESIGN: Longitudinal follow-up study. METHODS: Site observations and interviews were conducted with key informants at two hospitals. Indicators of nursing care changes identified six months post-implementation were compared with indicators found during a retrospective chart audit at the same sites three years later. Fisher exact tests were used to compare outcomes for the two time periods. RESULTS: Three out of 12 indicators related to asthma care remained consistently high (≥ 84% of audited charts) and four indicators declined significantly (p < 0.01). There were significant (p ≤ 0.05) improvements in nine out of 12 indicators related to diabetes foot care. Important contextual changes were made to better address the guideline recommendations for foot care in the out-patient program and the electronic documentation system. CONCLUSIONS: Sustainability of guideline implementation recommendations was enhanced with the use of an electronic documentation system. RELEVANCE TO CLINICAL PRACTICE: Long-term follow-up of both clinical indicators and contextual factors are important to monitor to promote sustained implementation of guidelines.
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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 | 0.011 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".