From patient-reported outcomes (PROs) to family-reported outcomes (FROs): Acceptability and perceived usefulness of routine screening in cancer care
Bibliographic record
Abstract
OBJECTIVES: To explore the acceptability of screening for family-reported outcomes (FROs) among cancer caregivers (unpaid family members or friends who provide support to patients with cancer) and identify from their perspective the key components of a FRO screening program. METHODS: Using a qualitative descriptive design, semi-structured interviews were undertaken with 23 adult caregivers of people with cancer between 2020 and 2021. Interview questions focused on acceptability of FRO screening, types of FROs, timing/frequency of screening, preferred resources following screening, and communication of FROs to patients and clinicians. Participants were recruited in Canada. Interviews were audio-recorded, transcribed verbatim, and analyzed using thematic analysis and constant comparison. RESULTS: Almost all caregivers welcomed FRO screening in usual care and viewed it as an avenue toward obtaining more resources. Other potential benefits of FRO screening included increased self-reflection and role acknowledgment. Caregivers prioritized screening for emotional symptoms, and most preferred that the results be shared with the patient's treating team rather than their primary care provider. Caregivers did not want results to be shared with patients, instead favoring learning how best to discuss results with patients. Many spoke of a "one stop shop" containing all relevant information on caring for the patient (first) and for themselves (second). Opinions regarding timing and frequency of FRO screening differed. Periodic administration of FRO measures, with each one not exceeding 20 minutes, was deemed appropriate. SIGNIFICANCE OF RESULTS: This study extends the concept of patient-reported outcome measures to caregivers, and findings can be used to guide the development of FRO screening programs.
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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 | 0.044 | 0.121 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".