ArticleJCO oncology practice2021
Evaluation of an Interprofessional Training Program to Improve Cancer Drug Therapy Safety.
Article in JCO oncology practice, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.
- ONS/ASCO Guideline on the Management of Antineoplastic Extravasation.Clinical journal of oncology nursing · 2025Guideline
- Virtual reality simulation for chemotherapy drug spill management training in pharmacy education: A cohort-allocated crossover quasi-experimental study in Taiwan.BMC medical education · 2026Article
- Patient-centred interprofessional education in cancer care: a scoping review protocol.BMJ open · 2025Article
- Patient-centered interprofessional education in cancer care: a systematic scoping review.BMC medical education · 2024Article
- Self-perceived attitudes of Italian oncology nurses towards clinical trial involvement: A cohort observational study.Tumori · 2024Observational
- Interprofessional education in cancer care - a scoping review.BMC medical education · 2024Article
- Oncology Training Needs Assessment Among Health Care Professionals in Nigeria.JCO global oncology · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 4 institutions in 1 country.
Funding
Abstract
purposeDrug therapy for cancer is a high-risk, high-volume clinical intervention that requires interprofessional teams. Given the complexity of anticancer drug therapy and safety concerns, an interdisciplinary team developed a novel training program for oncology registered nurses and pharmacists to improve cancer drug safety.
methodsParticipants completed preworkshop learning assessments and received access to web-based modules on six topics: hazardous drug handling, drug extravasation, hypersensitivity reaction management, sepsis recognition, immune checkpoint inhibitor toxicities, and oral oncolytic adherence. In a 7-hour workshop, participants applied module content in interactive exercises and high-fidelity simulations. Preworkshop and postworkshop questionnaires assessed changes in knowledge and confidence in each topic. Program satisfaction and changes to clinical practice or policies were assessed 3 months after the workshop.
resultsTwo hundred ninety-two nurses and 82 pharmacists applied to participate, and 103 (35%) and 44 (54%) have participated, respectively. Long-term follow-up data were available on 133 (90%) participants. Change scores in confidence to meet program objectives increased between pre- and postworkshop (range of increase 0.6-0.8,
conclusionAn interprofessional education program with online modules, in-person interactive sessions, and simulation activities is a promising strategy to deliver cancer drug safety content to practicing oncology clinicians.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.