The development of the MENTOR_D nursing intervention: Supporting family involvement in delirium management
Bibliographic record
Abstract
BACKGROUND: Although families are increasingly seen as allies to improve delirium management and reduce its consequences, their involvement in the postcardiac surgery setting is challenging considering patients' critical state and short hospital stay. To our knowledge, no theory-based nursing intervention exists that optimally supports the involvement of families in delirium management in the context of postcardiac surgery. OBJECTIVES: We aimed to develop MENTOR_D, a nursing intervention to support the involvement of families in delirium management. METHODS: MENTOR_D was developed based on Sidani and Braden's (2011) intervention development framework. Narrative literature reviews paired with the clinical experience of an expert committee were used to inform these three steps: (1) develop an understanding of the problem under study; (2) define the objectives of the intervention and identify a theoretical framework for highlighting strategies to be used in the intervention; and (3) operationalize the intervention and identify its anticipated outcomes. RESULTS: As a result of the three steps, the MENTOR_D nursing intervention relies on a caring-mentoring relationship between a nurse and the family. The aim of MENTOR_D is to increase the presence of the family at their relative's bedside and their involvement in delirium management. MENTOR_D's content is delivered over three phases that are organised around the visits of the family at the patient's bedside. During these phases, families used their knowledge of the patient to tailor the delirium management actions. These actions include orientation and reminiscence and were aimed at diminishing anxiety and increasing sense of self-efficacy in families and diminishing delirium severity and improving recovery in patients. CONCLUSIONS: A deep understanding of the underlying mechanisms of an intervention is key in its success to reach the targeted goals of effectiveness in practice. This understanding can be achieved through the careful development of a theory of the intervention before the operationalisation of its components and its testing. The proposed paper presents the theory of the MENTOR_D intervention, that is, its conceptualization and proposed mechanisms of action. IMPLICATIONS FOR PRACTICE: As delirium continues to be a major complication, this intervention is a promising solution to increase families' involvement in delirium management and highlights the support that nurses can offer to facilitate this involvement. With its use in future studies and practice, it can be further refined.
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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 | 0.008 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".