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Record W4407974384 · doi:10.1016/j.jtct.2025.01.847

Change Management across Disciplines: Implementation of Standardized Outpatient Clinical Trial Procedures

2025· article· en· W4407974384 on OpenAlexaff
Ekaterina F. Hult, Marcia Flynn-Post, Christine Chen

Bibliographic record

VenueTransplantation and Cellular Therapy · 2025
Typearticle
Languageen
FieldHealth Professions
TopicHealth Policy Implementation Science
Canadian institutionsPrincess Margaret Cancer Centre
Fundersnot available
KeywordsMedical physicsMedicine

Abstract

fetched live from OpenAlex

Introduction The increasing number of investigational cell therapies and their expanding indications have made it challenging to provide access to the latest clinical trials given limited inpatient bed capacity . Scheduling conflicts arise between clinical trial patients and those requiring beds for commercially approved cell therapies or transplants. Objectives Many research teams are led by clinicians from non-hematological specialities who are not accustomed to managing adverse events associated with cell therapies. To meet these needs, institutional leadership called for standardized outpatient treatment procedures and patient education resources. Methods Standard operating procedures were drafted for the management for clinical trial patients in our Autologous Transplant Day Hospital (ADH) unit in consultation with clinicians. The nature and scope of outpatient monitoring was stratified into three risk levels (low, medium, high) based on the expected frequency and severity of cytokine release syndrome and immune effector cell-associated neurotoxicity syndrome . Patients receiving high-risk products were seen daily for the first 1 to 2 weeks, then twice weekly with daily telephone follow-up assessments up to 30 days after the cell product administration. Patients and caregivers were provided with equipment for daily home monitoring and worksheets to record vitals, neurotoxicity score, fluid intake, and bowel movements. The research ethics board was engaged to approve research-specific patient educational material. Procedures were rolled out in two stages over a 1.5 year period. Stage 1 included follow-up in ADH for 30 days post inpatient cell infusion, followed by stage 2 which added the cell infusion and acute care in ADH. A dry-run walk through was completed before stage 2. Each stage included a pilot period followed by a debrief meeting to obtain feedback. Results Feedback focused on clarifying roles & responsibilities (40%), documentation expectations (23%), and improving communication between the research team and ADH unit (17%). Responses resulted in the modification of patient educational material, development of a triage pathway for research patient calls, and designation of a single telephone number to receive all patient calls for the first month post-infusion at all hours of the day, regardless of disease program. A protocol was created to delineate the responsibilities of the research team and clinical unit staff with positive feedback from staff. Conclusion Capacity to provide novel investigational cell therapies to a wider patient population has increased. To date, over 50 infusions have been delivered in the outpatient setting supporting 6 clinical trials , including collaborations with solid tumor and neurology teams. Examples of patient educational material will be available for review together with the poster presentation.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.402
metaresearch head score (Gemma)0.550
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.598
Threshold uncertainty score0.737

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.4020.550
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0060.004
Science and technology studies0.0080.006
Scholarly communication0.0100.010
Open science0.0070.015
Research integrity0.0060.009
Insufficient payload (model declined to judge)0.0060.001

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.

Opus teacher head0.450
GPT teacher head0.661
Teacher spread0.211 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designQualitative
DomainMethods
GenreEmpirical

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".

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Citations0
Published2025
Admission routes1
Has abstractno

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