Caregiver Input to Optimize the Design of a Pediatric Care Planning Guide for Rehabilitation: Descriptive Study
Bibliographic record
Abstract
BACKGROUND: Caregiver input has informed the design of a valid electronic patient-reported outcome (PRO) measure for use in pediatric rehabilitation. This proxy assessment may be further developed to expedite and enhance patient-centered care planning processes, but user input is first needed to finalize the core requirements that will guide its design. OBJECTIVE: The objective of this study was to examine the feasibility of a stepwise process for building on a baseline assessment of young children's participation in activities to develop a care plan relevant to pediatric rehabilitation. METHODS: A cross-sectional descriptive study design was employed using qualitative methods. Data were collected via Web-based technology and by telephone. Twenty-five caregivers of young children (9 with developmental delays, 16 without delays) and between 1 and 7 years were recruited from a subsample of parents who had previously enrolled in a Web-based validation of a PRO on children's participation and provided consent for future contact. Each caregiver completed a demographic questionnaire and Young Children's Participation and Environment Measure (YC-PEM) online, followed by a 20- to 60-min semistructured and audiotaped phone interview to review and build upon PRO results as summarized in an electronic report. Interview data were content coded to the interview guide and reviewed by multiple research staff to estimate feasibility according to stepwise completion rates, perceptions of difficulty in step completion, and perceptions of overall utility. RESULTS: Half of the participants in the final study sample (N=25) fully completed a stepwise process of building on their baseline PRO assessment to develop an initial care plan for their child. In most cases, similar stepwise completion rates and trends in the approaches taken for step completion were found regardless of the child's disability status. However, more parents of children with disabilities reported difficulties in rank ordering their priorities for change and identified child-focused strategies for goal attainment. Nearly 77% (19/25) of users were willing to use the process to develop and communicate intervention priorities and strategies with professionals, family, and friends. CONCLUSIONS: Results informed revisions to the care planning guide before usability and feasibility testing of an initial Web-based prototype that is now underway.
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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 | 0.000 | 0.006 |
| 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".