Evidence map›Paper›PMID 41272377›Full record

ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2025

Codesigning the iCanPlan Program to promote advance care planning among consumers from ethnic minority backgrounds in cancer care.

Ashfaq Chauhan, Sally Greenberg, Sophie Jessop, Nancy Huang, Helen Fifield-Smith, Nadine El-Kabbout, Eric Yeung, Anna Kenny, Misbah Faiz, Stella Hellander and 7 more

Abstract read
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In one paragraph

Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Codesigning the iCanPlan Program to promote advance care planning among consumers from ethnic minority backgrounds in cancer care.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Ashfaq ChauhanCentre for Health Systems and Safety Research, Australian Institute of Health Innovation, Macquarie University, Macquarie Park, NSW, Australia. ashfaq.chauhan@mq.edu.au.ORCID http://orcid.org/0000-0003-2762-510X
Sally GreenbergSunshine Hospital, Western Health, St Albans, Victoria, Australia.
Sophie JessopDepartment of Haematology and Oncology, Michael Rice Women's and Children's Hospital, Adelaide, SA, Australia.
Nancy HuangMacarthur Cancer Therapy Centre, Campbelltown Hospital, Sydney, NSW, Australia.
Helen Fifield-SmithGosford Hospital, Central Coast Local Health District, Gosford, NSW, Australia.
Nadine El-KabboutNafs Counselling, Sydney, NSW, Australia.
Eric YeungCanRevive, Sydney, NSW, Australia.
Anna KennyWestern Sydney Local Health District Health Care Interpreter Service, Parramatta, NSW, Australia.
Misbah FaizHealth Professional Council Authority, Sydney, NSW, Australia.
Stella HellanderHealth Care Interpreter, Adelaide, South Australia, Australia.
Nyan Thit TieuSisters Cancer Support Group, Wollongong, NSW, Australia.
Eva HussainPolaron Language Services, Melbourne, Victoria, Australia.
Ursula M Sansom-DalySchool of Clinical Medicine, UNSW Medicine & Health, UNSW Sydney, Randwick, NSW, Australia.
Elizabeth ManiasSchool of Nursing and Midwifery, Monash University, Melbourne, Victoria, Australia.
Jessica GoldhirschBrigham and Women's Hospital, Boston, MA, USA.
Janet L AbrahmDana-Faber Cancer Institute, Boston, MA, USA.
Reema HarrisonCentre for Health Systems and Safety Research, Australian Institute of Health Innovation, Macquarie University, Macquarie Park, NSW, Australia.

Funding

Cancer Institute NSW 2021/CDF1104
6 · The paper itself

Abstract

purposeCollaboration between medical interpreters and clinicians is crucial in conducting advance care planning (ACP) with people from ethnic minority backgrounds affected by cancer who require language support; however, limited opportunities exist that foster this collaboration. We report here the co-design of a program that fosters interprofessional collaboration between interpreters and clinicians in ACP with people from ethnic minority backgrounds affected by cancer.

methodAdapted experienced-based co-design (EBCD) was conducted. Building upon data collected from interpreters and health care staff with experience of conducting ACP communication with people from ethnic minority backgrounds affected by cancer, a series of three codesign workshops was conducted to propose and design a solution with ten co-design members. Meetings with three external experts provided important implementation considerations for the co-designed solution.

resultsThe co-design team drew on available evidence and feasibility challenges to identify approaches to collectively create opportunities for interprofessional collaboration between clinicians and interpreters. This resulted in the co-designed iCanPlan Program which comprises (1) a didactic interprofessional education in ACP, and (2) facilitated feedback for clinicians and interpreters during practice by an attending health care staff member.

conclusionThe iCanPlan Program is a first of its kind program co-designed with stakeholders to promote collaboration between interpreters and cancer clinicians. Collaboration with local cancer service leaders and staff will be required to implement the program into practice.

Indexed as

Advance Care PlanningEthnicityMinority GroupsNeoplasmsCommunication BarriersCooperative BehaviorHealth PersonnelHumansInterprofessional RelationsTranslatingAdvance care planningCancerEthnic minorityInterpretersInterprofessional collaboration

Identifiers

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.