Evidence map›Paper›PMID 41694157›Full record

ArticleEcancermedicalscience2025

Evaluation of the multifaceted role of social media in cancer patient care.

Yousef Roosta, Hero Khezri, Vahid Hoseinpour, Mohamad Jebraeily, Amirhossein Rayegani, Saeed Razavi-Dizaji

Abstract read
In one paragraph

Article in Ecancermedicalscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

6 authors.

Yousef RoostaDepartment of Internal Medicine, School of Medicine, Imam Khomeini Hospital, Urmia University of Medical Sciences, Urmia 5715789397, Iran.
Hero KhezriDepartment of Health Information Technology, School of Allied Medical Sciences, Urmia University of Medical Sciences, Urmia 5756115198, Iran.
Vahid HoseinpourDepartment of Emergency Medicine, School of Medicine, Imam Khomeini Hospital, Urmia University of Medical Sciences, Urmia 5714783734, Iran.
Mohamad JebraeilyDepartment of Health Information Technology, School of Allied Medical Sciences, Urmia University of Medical Sciences, Urmia 5756115198, Iran.
Amirhossein RayeganiDepartment of Radiation Oncologist, Omid Medical and Research Centre, Urmia University of Medical Sciences, Urmia 5716835377, Iran.
Saeed Razavi-DizajiDepartment of Internal Medicine, School of Medicine, Imam Khomeini Hospital, Urmia University of Medical Sciences, Urmia 5715789397, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Evaluating cancer patients' social media use is crucial for understanding their preferences, needs and health behaviours. This study examined social media use in health management and analysed influencing factors using the Health Belief Model (HBM). Methods: A descriptive-analytic study was conducted in 2024 at hospitals affiliated with Urmia University of Medical Sciences. A total of 204 cancer patients who actively used social media participated. Data were collected using a structured and validated questionnaire. Descriptive statistics and regression analyses (SPSS v16) were applied to examine HBM constructs and their predictors. Results: The mean age of participants was 54 years; 54% were male and 46% female. Overall, 38% used social media for healthcare purposes. Perceptions across the HBM constructs were moderate to high. Cues to action had the highest mean score at 3.19 standard deviation (SD = 0.546), followed by perceived benefits ( Conclusion: The findings highlight the multifaceted role of social networks in cancer patient healthcare. Moderate HBM scores indicate the need for tailored digital interventions to strengthen perceived benefits, self-efficacy and responsiveness to cues to action, ultimately fostering patient-centred care and informed health decisions.

Indexed as

cancer survivorsHBMpalliative carepatient care managementsocial mediasocial networkingsupportive care

Identifiers

PMID41694157
PMCPMC12904673

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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.