Evidence map›Paper›PMID 37296935›Full record

ArticleCancers2023

Co-Creation of Breast Cancer Risk Communication Tools and an Assessment of Risk Factor Awareness: A Qualitative Study of Patients and the Public in India.

Divya Pillai, Jyoti Narayan, Aleksandra Gentry-Maharaj, Suryanarayana Deo, Dehannathparambil Kottarathil Vijaykumar, Poulome Mukherjee, Nitya Wadhwa, Aparajita Bhasin, Ashutosh Mishra, Anupama Rajanbabu and 6 more

Abstract read
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In one paragraph

Article in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

16 authors.

Divya PillaiTranslational Health Science & Technology Institute, NCR Biotech Science Cluster, Faridabad-Gurgaon Expressway, Faridabad 121001, India.ORCID 0000-0003-0564-1774
Jyoti NarayanQuicksand Design Studio, New Delhi 110047, India.
Aleksandra Gentry-MaharajMRC Clinical Trials Unit at UCL, Institute of Clinical Trials & Methodology, Faculty of Population Health Sciences, University College London, London WC1V 6LJ, UK.ORCID 0000-0001-7270-9762
Suryanarayana DeoAll India Institute of Medical Sciences, New Delhi 110029, India.
Dehannathparambil Kottarathil VijaykumarAmrita Institute of Medical Sciences & Research Centre, Kochi 682041, India.
Poulome MukherjeeCachar Cancer Hospital & Research Centre, Meherpur, Silchar 788015, India.
Nitya WadhwaTranslational Health Science & Technology Institute, NCR Biotech Science Cluster, Faridabad-Gurgaon Expressway, Faridabad 121001, India.
Aparajita BhasinQuicksand Design Studio, New Delhi 110047, India.
Ashutosh MishraAll India Institute of Medical Sciences, New Delhi 110029, India.
Anupama RajanbabuAmrita Institute of Medical Sciences & Research Centre, Kochi 682041, India.
Ravi KannanCachar Cancer Hospital & Research Centre, Meherpur, Silchar 788015, India.
Zakir Husain86/1 College Street, Economics Department, Presidency University Kolkata, Kolkata 700073, India.ORCID 0000-0002-0865-1399
Avinash KumarQuicksand Design Studio, New Delhi 110047, India.
Antonis C AntoniouCentre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK.ORCID 0000-0001-9223-3116
Ranjit ManchandaWolfson Institute of Population Health, Barts CRUK Cancer Centre, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK.ORCID 0000-0003-3381-5057
Usha MenonMRC Clinical Trials Unit at UCL, Institute of Clinical Trials & Methodology, Faculty of Population Health Sciences, University College London, London WC1V 6LJ, UK.ORCID 0000-0003-3708-1732

Funding

Medical Research Council MC_UU_00004/01
6 · The paper itself

Abstract

backgroundLow awareness of BC and its associated risk factors causes delays in diagnosis and impacts survival. It is critical to communicate BC risk to patients in a format that they are easily able to understand. Our study aim was to develop easy-to-follow transmedia prototypes to communicate BC risk and evaluate user preferences, alongside exploring awareness of BC and its risk factors.

methodsPrototypes of transmedia tools for risk communication were developed with multidisciplinary input. A qualitative in-depth online interview study was undertaken using a pre-defined topic guide of BC patients (7), their relatives (6), the general public (6), and health professionals (6). Interviews were analyzed using a thematic approach.

findingsMost participants preferred pictographic representations (frequency format) of lifetime risk and risk factors and storytelling using short animations and comic strips (infographics) for communicating genetic risk and testing: "In a short time, they explained it very well, and I liked it". Suggestions included minimizing technical terminology, decreasing the delivery speed, "two-way dialogue", and using local "language for different locations". There was low awareness of BC, with some understanding of age and hereditary risk factors but limited knowledge of reproductive factors.

interpretationOur findings support use of multiple context-specific multimedia tools in communicating cancer risk in an easy-to-understand way. The preference for storytelling using animations and infographics is a novel finding and should be more widely explored.

Indexed as

breast cancerLMICpatient and public involvementrisk communicationrisk representationtransmedia tools

Identifiers

PMID37296935
PMCPMC10252022

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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.