Contextual influences on knowledge translation capacity in a nursing home organisation: A phenomenological hermeneutical study
Bibliographic record
Abstract
INTRODUCTION: The demand for advanced clinical care in nursing homes (NHs) is increasing. Evidence-based practices and knowledge translation (KT) initiatives are growing to bridge the gap between what is known and what is done. However, research on contextual influence on KT has primarily focused on hospital settings. AIM: To expand our understanding of contextual influences on KT capacity in a NH organisation. DESIGN AND METHODS: Lindseth and Norberg's phenomenological hermeneutical method was used to explore and describe practice development nurses' experiences, perspectives and practices regarding how contextual factors influence KT capacity in NHs. Focus group interviews, participant observations, in-depth interviews and non-participant observations provided the data. RESULTS: Two main themes and four subthemes were identified. (1) Continuous limited resources are a cultural condition that inhibits KT readiness; prioritising keeping the NH machinery running at all costs and having contrasting care philosophies undermines KT. (2) Organisational prioritisations leave KT as a missing cogwheel in the machinery; retaining a system of fragmented KT strategies and lacking a structure for collective KT effort. CONCLUSION: The study showed that KT held a minor role in the fast-paced NH machinery. Contradicting values characterise the NH organisation, resulting in a lack of a common vision and priorities. Building a sustainable KT capacity and providing evidence-based practice necessitates explicit responsibilities, dedicated resources and robust organisational support. Management has a critical role in strengthening the position of KT. Incorporating KT in daily NH practice can help staff become adaptable and confident, capable of meeting the increasing challenges of advanced care that alleviates suffering and promote the health and well-being of NH patients.
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How this classification was reachedexpand
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 | 0.000 |
| 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 | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".