Evidence map›Paper›PMID 42873794›Full record

ArticlePloS one2026

Digital patient decision aids for cancer prevention in socially disadvantaged women: A scoping review protocol.

Emmanuelle Lüthi, Océane Pittet, Joanna Montagnese, Romain Freund, Kevin Selby, Véronique S Grazioli, Thomas Brauchli, Marie-Anne Durand

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Emmanuelle LüthiDepartment of Ambulatory Care, Unisanté, University Center for Primary Care and Public Health & University of Lausanne, Lausanne, Switzerland.ORCID https://orcid.org/0000-0002-6039-4158
Océane PittetDepartment of Ambulatory Care, Unisanté, University Center for Primary Care and Public Health & University of Lausanne, Lausanne, Switzerland.
Joanna MontagneseDepartment of Ambulatory Care, Unisanté, University Center for Primary Care and Public Health & University of Lausanne, Lausanne, Switzerland.
Romain FreundDepartment of Epidemiology and Health Systems, Unisanté, University Center for Primary Care and Public Health & University of Lausanne, Lausanne, Switzerland.
Kevin SelbyDepartment of Ambulatory Care, Unisanté, University Center for Primary Care and Public Health & University of Lausanne, Lausanne, Switzerland.ORCID https://orcid.org/0000-0002-9096-0720
Véronique S GrazioliDepartment of Vulnerabilities and Social Medicine, Unisanté, University Center for Primary Care and Public Health & University of Lausanne, Lausanne, Switzerland.
Thomas BrauchliResearch Support Unit, Unisanté, University Center for Primary Care and Public Health & University of Lausanne, Lausanne, Switzerland.ORCID https://orcid.org/0000-0001-5378-1857
Marie-Anne DurandDepartment of Ambulatory Care, Unisanté, University Center for Primary Care and Public Health & University of Lausanne, Lausanne, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This scoping review aims to map and analyze the existing evidence on digital Patient Decision Aids (PtDAs) for cancer prevention targeting socially disadvantaged women. Cancer is a leading cause of premature mortality among women. Cancer prevention strategies can effectively reduce cancer incidence and mortality. Socially disadvantaged women face lower screening rates and higher mortality. Effective cancer prevention requires informed decision-making. One approach is the use of digital PtDAs. They represent a promising innovation for this population. However, their characteristics, development process, and evaluation for cancer prevention targeting this population remain underexplored. This scoping review will include digital PtDAs designed to meet the needs of socially disadvantaged women aged 18-75 in the context of cancer prevention and meeting the minimum criteria established by the International Patient Decision Aid Standards. We will include studies and sources covering quantitative and qualitative research, and gray literature. This scoping review will follow the JBI methodology for scoping reviews. A comprehensive three-step search will be conducted across MEDLINE, CINAHL, Embase, Web of Science, Cochrane databases, Google Scholar and gray literature sources. All studies and sources available in any language will be considered. Citations will be imported into Rayyan for screening. Two independent reviewers will conduct study selection, data extraction, and analysis. Data will be summarized using tables and descriptive content analysis to identify characteristics, development processes, and evaluation methods of digital PtDAs. The review will be reported in accordance with PRISMA-ScR guidelines. Findings will be submitted for publication in an international peer-reviewed journal and presented at national and international conferences focused on cancer prevention, shared decision-making, digital health or socially disadvantaged women. We will share findings with healthcare professionals, public health and cancer prevention stakeholders, and socially disadvantaged communities and their network. This protocol has been registered with the Open Science Framework (https://osf.io/f3428/).

Indexed as

Decision Support TechniquesDigital HealthDigital MediaNeoplasmsVulnerable PopulationsAdultDecision MakingFemaleHumansScoping Reviews as Topic

Identifiers

PMID42873794
PMCPMC13667833

What OpenQuestion holds

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Read underepoch 390

Registered trials

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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.