DP033 | CARE-TOGETHER: 3 YEARS SINCE THE LAUNCH OF THE FIRST ITALIAN PATIENT SUPPORT PROGRAM FOR CAR T THERAPY
Bibliographic record
Abstract
Background: Chimeric Antigen Receptor T-cell (CAR T-cell) therapy has revolutionized the treatment of relapsed/refractory hematological malignancies. However, it presents substantial economic and organizational challenges for the Italian National Healthcare System. These burdens impact patients and families, involving complex treatment processes, mobility issuesa, and caregiver strain. Notably, 66% of caregivers (CG) are forced to leave their jobs due to insufficient support.1 The absence of CG is a significant barrier to accessing care. Aims: A comprehensive support program aimed at reducing both the emotional and practical burdens throughout the CAR T-cell journey have been developed in Italy since July 2022. Methods: The Patient Support Program (PSP) “CARe-Together” is the first Italian program for patients and CG seeking CAR T-cell therapy, designed to facilitate their journey with personalized services. A digital platform has been developed to help patients access, professional CG services and healthcare support. The PSP includes various services (transportation, assistance and daily activity support) provided by trained CG. A qualitative analysis was administered to Healthcare Professionals (HCPs), patients and CG to assess the PSP’s usefulness, it’s impact on patients’ quality of life, the stewardship role and the range and quality of services provided.b Results: Launched in July 2022 with 4 Italian QTCs, the PSP now includes 9 centers. Among a total of 287 patients intended to CAR T-cell therapy in these centers, 58 patients were enrolled up to February 28th, 2025. 563 services were provided: 387 professional CG, 100 physiotherapy, 62 nutritional, and 14 psychological services (Figure 1).c Among the survey respondentsd, HCPs rated the steward’s support as highly helpful (9.5/10), the range of services offered was rated 8.0. Both Patients and CG reported that the program significantly improved their QoL (9.6 and 9.7, respectively). Conclusion: The PSP “CARe Together” offers a successful example of a public-private partnership, emphasizing the crucial role of CG in a patient's journey with CAR T-cell therapy and the value of an integrated care model addressing the broader needs of patients and CG. There are plans to administer a new survey to assess unmet needs for patients participating in the PSP to better understand their specific challenges and improve their care experience.
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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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".