Living labs for patient engagement and knowledge exchange: an exploratory sequential mixed methods study to develop a living lab in paediatric rehabilitation
Bibliographic record
Abstract
INTRODUCTION: Despite recognition of the importance of patient engagement in research and knowledge translation, systematic approaches to engagement and co-ideation remain limited. Living labs are collaborative knowledge sharing systems that use multimethod, user-centred approaches that hold potential to catalyse these aims. However, their use in healthcare is limited, and no living lab has been developed in paediatric rehabilitation. In response to this gap and to propel innovative knowledge exchange, we propose a mixed methods study to co-develop a living lab prototype (ie, preliminary infrastructure with opportunity for scale up) in paediatric rehabilitation, with relevance to other healthcare contexts. METHODS: An exploratory sequential mixed methods study will be undertaken to determine research and knowledge exchange priorities and to inform the development of the living lab prototype. Stage 1: we will use a multipronged approach to sample 18-21 youth with developmental differences or rehabilitation needs, their youth siblings and parents/guardians from a provincial paediatric rehabilitation centre, to participate in qualitative and arts-based data collection. Data will provide insight into desirable features of the living lab. Stage 2: E-surveys to youth, siblings, parents/guardians and clinicians who receive or provide services at this same centre will expand on priorities and living lab features. Stage 3: integrated analysis will inform the living lab prototype development. ANALYSIS: Inductive thematic analysis using interpretive description, integrated analysis of visual data and descriptive and content analysis of e-survey data will be undertaken. Joint displays will facilitate data integration. Priorities will be identified using a modified rank-order method for each key living lab domain. ETHICS AND DISSEMINATION: Institutional ethics and site approval have been granted. A parent advisory group and rehabilitation engineering partners will confer on data and inform the development of the living lab prototype. User engagement with the prototype will occur during an online or in-person event, and findings shared through non-technical research summaries, journal articles and academic presentations.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | Open science Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Qualitative | high |
| gpt | Metaresearch Domain: Methods · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Qualitative | high |
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 | 0.051 | 0.041 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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, unvalidatedLabeled directly by 2 models reading the full record.
The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.
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".