The development of a return to work intervention programme for stroke survivor (SReTWIP): a Delphi survey
Bibliographic record
Abstract
BACKGROUND: Even though clearly defined pathways for vocational re-entry are well recognized for conditions such as mental health, musculoskeletal dysfunction (MSD) and traumatic brain injury (TBI), none has been identified for stroke. There has been a lack of consensus regarding such clear pathways to vocational re-entry and the essential contents of return to work (RTW) interventions for stroke survivors. As part of a larger study aimed to design a RTW programme for stroke survivors, this study describes the concluding process through which Stroke Return to Work Intervention Programme (SReTWIP) was developed. METHODS: Experts in the field of neurorehabilitation and vocational rehabilitation (VR) from 6 countries participated in this 3-round Delphi survey via e-mail. Concept mapping was used to triangulate findings from the Delphi with previous phases of the larger study. Content thematic analysis was conducted on qualitative data while descriptive statistic was used to analyze quantitative data. RESULTS: Fifteen experts with a mean age and mean duration of practice of 44.73 ± 9.48 years and 18.26 ± 8.71 years respectively participated in this study. The developed RTW programme (SReTWIP) is a 12 week programme that consisted of four interconnected phases of intervention viz.: an assessment phase, clinic-based work and non-work specific intervention phase, a work test placement phase and a client full participation in worker role phase. The experts agreed on a set of implementation strategies that included the use of interdisciplinary team, the tailoring of intervention to meet stroke survivor's need, as well as the use of case management approach. CONCLUSION: The SReTWIP is the first step in developing a VR pathway that can ultimately enhance the RTW rates and quick resumption of the worker role of stroke survivors. The stroke survivor can move along the different phases of the SReTWIP after achieving competency in a preceding phase. Future work will include a feasibility study with other key stakeholders involved in RTW such as employers, informal caregivers and stroke survivors before its implementation.
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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 | 0.002 |
| 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".