Understanding transitions in care for people with major lower limb amputations from inpatient rehabilitation to home: a descriptive qualitative study
Bibliographic record
Abstract
To understand how people with major limb amputation experience the transition in care from inpatient rehabilitation to the community. A qualitative study was conducted using semi-structured interviews. Individuals were eligible if they had undergone a major lower limb amputation and had been discharged from inpatient rehabilitation to the community within one to twelve months. Interviews explored participants’ experiences and factors associated with the transition in care. The interviews were audio-recorded, transcribed, and thematically analyzed. Nine individuals with major lower limb amputation participated. Five themes were identified to describe the transition in care experience: (a) Preparedness: differing experiences during inpatient rehabilitation; (b) Challenges with everyday tasks: “everything has to be thought out”; (c) Importance of coping strategies; “gradually you accept it more and more” (d) Importance of support and feeling connected; “if I needed anything, they’re right there” and (e) Not everyone has access to the same resources: “left to your own devices”. The identified themes concurrently influenced the transition from inpatient rehabilitation to the community. Common challenges during the initial transition were identified. Areas of improvement within inpatient rehabilitation included individualized care, discussions surrounding expectations, and better access to ongoing community support.Implication for rehabilitationTransition in care are difficult and vulnerable times for people with major lower limb amputation, especially when transitioning home following inpatient rehabilitation.Rehabilitation should prepare individuals for completing meaningful tasks in the home and community.Access to ongoing support in the community in the form of practical and emotional support can ease the challenges of transitioning home. Transition in care are difficult and vulnerable times for people with major lower limb amputation, especially when transitioning home following inpatient rehabilitation. Rehabilitation should prepare individuals for completing meaningful tasks in the home and community. Access to ongoing support in the community in the form of practical and emotional support can ease the challenges of transitioning home.
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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 | 0.012 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.009 | 0.009 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".