The Feasibility and Effects of a Telehealth-Delivered Home-Based Prehabilitation Program for Cancer Patients during the Pandemic
Bibliographic record
Abstract
Patients awaiting cancer treatment were classified as “vulnerable” and advised to shield to protect themselves from exposure to coronavirus during the pandemic. These measures can negatively impact patients. We sought to establish the feasibility and effects of a telehealth-delivered home-based prehabilitation program during the pandemic. Eligible patients were referred from multiple centers to a regional prehabilitation unit providing home-based prehabilitation. The enrolled patients received telehealth-delivered prehabilitation prior to surgery and/or during non-surgical cancer treatment, which included personalized training exercises, dietary advice, medical optimization therapies, and psychological support. The primary outcome was to investigate the feasibility of our program. The secondary outcome was to investigate the relationship between our program and patient-reported outcomes (PROs). The patients completed two questionnaires (the EQ-5D-3L and the FACIT-Fatigue Scale) pre- and post-intervention. A total of 182 patients were referred during the study period. Among the 139 (76%) patients that were enrolled, 100 patients completed the program, 24 patients have still to complete, and 15 have discontinued. A total of 66 patients were able to return completed questionnaires. These patients were recruited from colorectal, urology, breast, and cardiothoracic centers. The patients significantly improved their self-perceived health (p = 0.001), and fatigue (p = 0.000). Home-based prehabilitation is a feasible intervention. The PROs improved post-intervention.
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 | 0.001 |
| 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".