Evidence map›Paper›PMID 40394589›Full record

ArticleBMC women's health2025

The preferences of breast cancer patients regarding a digital social care platform.

Sima Rafiei, Peigham Heidarpoor, Saber Souri, Zahra Nejatifar, Mohammad Amerzadeh

Abstract read
In one paragraph

Article in BMC women's health, 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

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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
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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

5 authors.

Sima RafieiSocial Determinants of Health Research Center, Research Institute for Prevention of Non- Communicable Diseases, Qazvin University of Medical Sciences, Qazvin, Iran.
Peigham HeidarpoorDepartment of Community Based Education of Health Sciences, School of Medical Education and Learning Technologies, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Saber SouriStudent Research Committee, School of Public Health, Qazvin University of Medical Sciences, Qazvin, Iran.
Zahra NejatifarStudent Research Committee, School of Public Health, Qazvin University of Medical Sciences, Qazvin, Iran.
Mohammad AmerzadehSocial Determinants of Health Research Center, Research Institute for Prevention of Non- Communicable Diseases, Qazvin University of Medical Sciences, Qazvin, Iran. m.amerzadeh@qums.ac.ir.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBreast cancer is a multifaceted condition affecting women globally, with patients often facing emotional, psychological, and social challenges. This study explored breast cancer patients' preferences for features of a digital social care platform.

methodsA cross-sectional study using Conjoint Analysis (CA), grounded in economic utility theory, was conducted. A Discrete Choice Experiment (DCE) questionnaire was administered to 158 breast cancer patients at a university hospital in Iran between November 2023 and January 2024. Data were analysed using ordered logistic regression in Stata 13.

resultsAll platform attributes significantly influenced preferences (P ≤ 0.05). Emotional support had the highest impact (β = 1.132), followed by informational (β = 0.973) and esteem support (β = 0.864). Instructional videos increased the likelihood of choosing a digital platform 2.45 times compared to text-based messages (P < 0.001). Personalized online support was 1.42 times more preferred than generic supportive messages (P < 0.001). Mindfulness affirmations were 1.14 times more preferred than inspirational messages (P < 0.001).

conclusionDigital tools that prioritize emotional, informational, and esteem support-especially through personalized online support and instructional videos can improve patient engagement and acceptability. These findings support the patient-centred design of digital social care platforms to enhance quality of life for breast cancer patients.

Indexed as

Breast NeoplasmsPatient PreferenceSocial SupportAdultAgedCross-Sectional StudiesFemaleHumansIranMiddle AgedSurveys and QuestionnairesBreast cancerConjoint analysisDigital healthDiscrete choice experimentPatient preferencesSocial care

Identifiers

PMID40394589
PMCPMC12093778

What OpenQuestion holds

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LicenceCC BY
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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.