Structured approaches to promote patient and family engagement in treatment in acute care hospital settings: protocol for a systematic scoping review
Bibliographic record
Abstract
BACKGROUND: While effective engagement of patients and families in treatment is increasingly viewed as a priority for many healthcare systems, much remains to be learned about the nature and outcomes of approaches that seek to accomplish this goal in the acute care hospital setting. Wide variability in the implementation of practices designed to promote patient and family engagement in hospitals has been noted. Approaches aimed at promoting patient and family engagement in treatment share the over-arching goal of changing behaviors of patients, families, and healthcare providers and possibly administrators. Behavior change techniques (BCTs) can be a key element of patient and family engagement approaches. This scoping review will contribute to the development of an evidence base detailing that the BCTs have potential to be effective in patient and family engagement interventions. The specific objectives of this review are to (a) identify and classify approaches used in acute care hospitals to engage patient and families in treatment according to the behavior change technique taxonomy; and (b) evaluate and synthesize the outcomes for these approaches for patients and families, healthcare providers, and health administrators/funders. METHODS: This systematic scoping review will allow us to determine the extent, range, and nature of research activity related to initiatives designed to promote patient and family engagement in care. A comprehensive electronic literature search will be conducted in MEDLINE, EMBASE, and CINAHL. Studies will be included if they report on outcomes of a structured or systematic approach to the promotion of adult inpatient and family engagement in treatment in acute care settings. Studies will be selected in a two-stage screening process (title and abstract; full text) and quality will be assessed using the mixed methods assessment tool. Data extraction will include narrative descriptions of the intervention and classification of the behavior change techniques employed. DISCUSSION: This review aims to identify and classify the specific behavior change techniques underpinning patient and family engagement interventions used in acute care hospital settings. By identifying the "active ingredients" in these interventions, our findings will be transferable to a wide range of acute care hospital contexts and populations.
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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) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".