Codesigning the web-based “Preoperative Rehab-readiness, Education and Preparation for Surgery” program for people undergoing a total shoulder replacement procedure
Bibliographic record
Abstract
BACKGROUND: Using a codesign process with patients, clinicians, and researchers, we created the Preoperative Rehab-readiness, Education and Preparation for Surgery (PREPS) program for patients undergoing a total shoulder replacement surgery. PREPS is designed to improve patient preparedness for surgery, increase rehab adherence/awareness and empower patients during their replacement journey. PURPOSE: To codesign, test and evaluate the PREPS program for patients undergoing a shoulder replacement surgery. STUDY DESIGN: A codesign process integrated multiple methods. METHODS: PREPS integrated multiple literature reviews, quantitative surveys, qualitative interviews and consultation analyses. Guided by a patient-centered approach, module content and design were reviewed by an expert advisory group comprising of academic and clinical experts (n=10) and consumers (n=5). Evaluation of usability was conducted using the Patient Education Materials Assessment Tool. Codesign process was guided by the TEACH-it framework. RESULTS: PREPS is a 6-week multimodal program that consists of both a website with video modules and a graphical education booklet that replicates the same online information. This format allows for increased accessibility of information for older adults. PREPS is self-guided at home. Content and design were continuously and iteratively refined over two years. Understandability was rated on average 94% by three raters. Few expressed they preferred the print version due to limited tech access. The content, format and delivery of PREPS was impacted by the codesign process, resulting in a very different program than had previously been delivered at the institution using traditional processes. CONCLUSIONS: PREPS is an integrative co-designed virtual preoperative program that supports patients' preparation for a shoulder replacement. Codesign is a time-consuming iterative process whose dividends are evident in better usability and usefulness of the product. Mapping interventions to patient needs and clinical goals, considering diverse users and using an inclusive equity lens can potentially improve the quality of web-based health care interventions.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".