Adapting co-design methodology to a virtual environment: co-designing a communication intervention for adult patients in critical care
Bibliographic record
Abstract
BACKGROUND: Research co-design is recommended to reduce misalignment between researcher and end-user needs and priorities for healthcare innovation. Engagement of intensive care unit patients, clinicians, and other stakeholders in co-design has historically relied upon face-to-face meetings. Here, we report on our co-design processes for the development of a bundled intensive care unit patient communication intervention that used exclusively virtual meeting methods in response to COVID-19 pandemic social distancing restrictions. METHODS: We conducted a series of virtual co-design sessions with a committee of stakeholder participants recruited from a medical-surgical intensive care unit of a community teaching hospital in Toronto, Canada. Published recommendations for co-design methods were used with exclusively virtual adaptations to improve ease of stakeholder participation as well as the quality and consistency of co-design project set-up, facilitation, and evaluation. Virtual adaptations included the use of email for distributing information, videos, and electronic evaluations as well as the use of a videoconferencing platform for synchronous meetings. We used a flexible meeting plan including asynchronous virtual methods to reduce attendance barriers for time-constrained participants. RESULTS: Co-design participants included a patient and a family member (n = 2) and professionally diverse healthcare providers (n = 9), plus a facilitator. Overall, participants were engaged and reported a positive experience with the virtually adapted co-design process. Reported benefits included incorporation of diverse viewpoints in the communication intervention design and implementation plan. Challenges related to lack of hands-on time during development of the co-designed intervention and participant availability to meet regularly albeit virtually. CONCLUSIONS: This report describes the methods, benefits, and challenges of adapting in-person co-design methods to a virtual environment to produce a bundled communication intervention for use in the adult intensive care unit during the COVID-19 pandemic. Adapting recommended co-design methods to a virtual environment can provide further opportunities for stakeholder participation in intervention design.
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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 | 0.020 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".