A Prospective Outcomes Pilot Evaluation of Inspire Now: A Program for People with Lung Cancer
Bibliographic record
Abstract
Background:Lung cancer is the leading cause of cancer mortality in Canada, yet patients are often under-supported. A six-week program called Inspire Now, created to address unmet supportive care needs, was evaluated in this study. Feasibility and preliminary outcomes were assessed in order to inform future changes to the program.Objectives:(1) Assess the feasibility of the program and its evaluation; (2) pilot the collection of patient-reported outcomes; (3) identify outcomes that may be positively influenced; and (4) inform program modifications.Methods:Participants were recruited from the first session of Inspire Now for an observational pilot study. The primary outcome was feasibility. Secondary outcomes included within-person changes in Functional Assessment of Cancer Therapy – Lung (FACT-L) and Measure Yourself Concerns and Wellbeing (MYCaW), and program satisfaction and qualitative experiences of participants and facilitators through internally-developed questionnaires and semi-structured interviews. Analysis was primarily descriptive, within person changes in FACT-L and MYCaW were analyzed using the Wilcoxon signed-rank test and qualitative data was assessed for common themes.Results:The program and its evaluation were feasible; 8 of 9 (89%) participants consented to the study, median attendance was 6 of 6 sessions (IQR 4.5-6), and questionnaire completion was 100% at baseline and 75% at follow-up. There were clinically meaningful improvements in MYCaW concern 1 (−1.2, 95% CI −2.0 to −0.4) and overall wellbeing (−0.9, 95% CI −2.1 to 0.4). Seven of eight FACT-L sub-sections trended toward improvement, with absolute changes ranging from −1.7 to 10.8%. Participant feedback was overwhelmingly positive; group support and social interactions were highly valued.Conclusions:The group intervention for people with lung cancer was feasible to both run and evaluate. Participants responded positively to the program. Findings will inform changes to future sessions and an analysis of multiple sessions is planned.
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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 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".