Goal setting, goal attainment and quality of life of children following selective dorsal rhizotomy
Bibliographic record
Abstract
AIM: The aim of this study is to describe the individualized occupational performance issues identified by parents/carers and children prior to selective dorsal rhizotomy (SDR) surgery and analyse change up to 2 years post surgery in goal attainment and quality of life (QoL). METHOD: The Australian SDR Research Registry (trial registration: ACTRN12618000985280) was used to extract data for individualized goals, goal attainment and QoL based on the Canadian Occupational Performance Measure (COPM) and the Cerebral Palsy Quality of Life Questionnaire for Children (CP QOL-Child parent-proxy) at baseline and 1 and 2 years following SDR. Change in mean scores was analysed using linear mixed models. RESULTS: Fifty-two children had COPM scores at baseline and 1 and/or 2 years post, of which 28 had two QoL scores. COPM problem areas included leisure (n = 39), productivity (n = 37) and self-care (n = 173). The most common goals were walking (26.1%), participation in physical activities (17.7%) and transitions (14.1%). Mean COPM scores improved significantly between baseline to 1 year and baseline to 2 years (P < 0.001). Mean QoL scores improved between baseline to 1 year for functional QoL domains: participation and physical health (P = 0.003) and pain and impact of disability (P = 0.011). CONCLUSIONS: Collaborative goal setting is an integral part of family-centred rehabilitation practice. The COPM was an appropriate individualized outcome measure in identifying meaningful goals for our SDR cohort. Results demonstrate improved scores in goal attainment and improvement in functional QoL domains. This paper highlights the need to include outcomes that measure daily life experiences.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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".