Creation of an electronic patient-reported outcome measure platform Voxe: a mixed methods study protocol in paediatric solid organ transplantation
Bibliographic record
Abstract
INTRODUCTION: Patient-reported outcome measures (PROMs) provide an opportunity for meaningful patient engagement and shared decision-making. The objective of this research programme is to improve health outcomes for paediatric solid organ transplant patients by implementing PROMs into clinical care. The current study aims to create Voxe, a paediatric user-centred electronic PROM platform, by engaging patients and healthcare providers throughout the design and development process. METHODS AND ANALYSIS: The creation of Voxe will occur over two phases that build on previous research. The user interface design phase employs a 'user-centric' approach to identify end-users' needs and iteratively refine the look and layout of Voxe to meet these needs. Transplant recipients, aged 10-17, and healthcare providers will participate in three rounds of testing (24 participants total). Participants will: (1) complete task-based activities (outcomes-effectiveness and efficiency), (2) complete questionnaires (outcome-satisfaction) and (3) participate in a semi-structured interview. The following phase involves software development and Voxe usability testing. Transplant recipients, aged 8-17, and healthcare providers will participate in four rounds of iterative testing (24-40 participants total). The think-aloud technique will be employed, and participants will describe their thoughts and feelings while interacting with a Voxe prototype. Participants will: (1) log into Voxe and complete tasks (outcomes-time on task, successful task completion, frequency of critical and non-critical errors and error-free rate), (2) complete questionnaires (outcome-satisfaction) and (3) participate in a semi-structured interview. Findings will result in the creation and launch of a user-centred electronic PROM platform. ETHICS AND DISSEMINATION: Research ethics board approval has been provided by The Hospital for Sick Children. This research is critical to answering methodological and operational questions to inform Voxe implementation in paediatric clinical settings and facilitate PROM data collection. Future investigations will include an implementation-effectiveness evaluation.
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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 | 0.157 | 0.108 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.021 | 0.004 |
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".