Evidence map›Paper›PMID 41886754›Full record

ArticleJournal of medical Internet research2026

From Searching to Coping, How Chinese Patients With Breast Cancer Navigate Web-Based Health Information: Semistructured Interview Study.

Jiahui Liu, Xingfeng Li, Xuying Li, Jiejun Chen, Dan Zhang, Cuiling Qiu

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2026. 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

6 authors.

Jiahui LiuDepartment of Breast Medicine, Hunan Cancer Hospital, 582 Xianjiahu Road, Yuelu District, Changsha, Hunan, 410013, China, 86 15116394002.ORCID http://orcid.org/0000-0002-1798-0282
Xingfeng LiDepartment of Breast Medicine, Hunan Cancer Hospital, 582 Xianjiahu Road, Yuelu District, Changsha, Hunan, 410013, China, 86 15116394002.ORCID http://orcid.org/0009-0000-1574-5767
Xuying LiDepartment of Nursing, Hunan Cancer Hospital, 582 Xianjiahu Road, Yuelu District, Changsha, Hunan, 410013, China, 86 15116394002.ORCID http://orcid.org/0000-0003-4320-6060
Jiejun ChenDepartment of Breast Medicine, Hunan Cancer Hospital, 582 Xianjiahu Road, Yuelu District, Changsha, Hunan, 410013, China, 86 15116394002.ORCID http://orcid.org/0009-0007-2103-3353
Dan ZhangDepartment of Nursing, Hunan Cancer Hospital, 582 Xianjiahu Road, Yuelu District, Changsha, Hunan, 410013, China, 86 15116394002.ORCID http://orcid.org/0009-0002-6090-3319
Cuiling QiuDepartment of Nursing, Hunan Cancer Hospital, 582 Xianjiahu Road, Yuelu District, Changsha, Hunan, 410013, China, 86 15116394002.ORCID http://orcid.org/0009-0002-4656-7654

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: With the development of digital health platforms, patients with breast cancer are increasingly relying on web-based resources to search for disease-related information. Proper usage of web-based health information by patients with breast cancer is crucial for understanding disease information and participating in treatment decisions. However, in the face of the large amount and complexity of information, it is still unclear how patients can make psychological adjustments and behavioral responses. Problems such as variable information quality and conflicting information are also affecting the cognitive and treatment decision-making process of patients with breast cancer. Objective: This study aims to explore the real experiences of Chinese patients with breast cancer in their search for web-based health information from a phenomenological perspective, providing insights for optimizing future web-based health information support for patients. Methods: This qualitative study used semistructured, in-depth face-to-face interviews to collect data. Through purposive and convenience sampling, 18 female patients with breast cancer were recruited from a tertiary cancer hospital in China. The data saturation principle was observed to determine the endpoint of data collection. The collected data were analyzed using thematic analysis. Results: From 18 original interview documents, three themes and 11 subthemes were categorized as follows: (1) driving force of information search (emotion-based information search, problem-solving-oriented information search), (2) cognitive judgments amidst the information fog (interweaving of multichannel information, judgment of information authenticity, information applicability assessment, cognitive confusion in the context of information conflict, and construction of information meaning), and (3) adaptation under the pressure of web-based information (transform information into action, emotional regulatory coping, build a support network, and acceptance and adjustment of expectations). Conclusions: This study reveals that the experiences of patients with breast cancer within web-based health information environments resemble an information navigation journey. Patients continuously search, evaluate, and adjust within the sea of information to maintain cognitive clarity and emotional equilibrium. The findings offer valuable insights for clinical health care providers, health information platform developers, and policymakers. They can help optimize digital health services and design personalized information support that better meets patients' needs.

Indexed as

Breast NeoplasmsConsumer Health InformationCoping SkillsInformation Seeking BehaviorInternetAdultAgedChinaEast Asian PeopleFemaleHumansInterviews as TopicMiddle AgedQualitative Researchbreast cancercoping strategydecision-makinginformation seekingqualitative research

Identifiers

PMID41886754
PMCPMC13021118

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.