Multi-Stakeholder Qualitative Interviews to Inform Measurement of Patient Reported Outcomes After CAR-T
Bibliographic record
Abstract
Toxicities after chimeric antigen receptor T cell (CAR-T) therapy are well known, yet the patient experience during and after CAR-T therapy has not been well described outside of the trial setting. We explored the patient experience after CAR-T therapy to inform the patient-reported outcomes (PRO) measurement approach for the Center for International Blood and Marrow Transplant Research (CIBMTR). We recruited (1) adult patients diagnosed with a hematologic malignancy 14 days to 6 months after receiving a commercial CAR T cell product who had agreed to be contacted by the CIBMTR, (2) caregivers of those patients, and (3) clinical experts in CAR-T therapy. Telephone interviews were conducted following a semistructured guide that included open-ended questions about symptoms and functioning. We conducted a systematic content analysis of each transcript using prespecified codes representing common domains of health, as well as open coding for emergent themes. Forty patients at 29 centers, 15 of their caregivers, and 15 experts from 9 centers participated, representing diversity with respect to age, sex, race/ethnicity, and years in practice (experts). Patients, caregivers, and experts shared largely consistent impressions of the patient experience after CAR-T therapy. Commonly described themes included anxiety, cognitive dysfunction, depression, fatigue, pain, impaired physical function, gastrointestinal symptoms, sexual dysfunction, sleep difficulties, need for support, financial impact, hospitalization, communication with healthcare providers, and the COVID-19 pandemic. Limitations in patients' ability to participate in social roles and activities was the most prevalent theme, found in nearly all interviews. In the setting of CAR-T therapy, a multidimensional approach to PRO measurement is needed that includes physical, mental, and social health, as well as the financial impact of this novel treatment. High-quality existing PRO tools are available to measure these concepts. Results will inform the CIBMTR measurement of PROs after CAR-T therapy and may be applicable to other CAR-T studies that aim to represent patient experiences.
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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 | 0.036 | 0.038 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.009 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".