Evidence map›Paper›PMID 41706208›Full record

ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2026

Preferences for electronic health information support concerning chemotherapy adverse reactions among young and middle-aged breast cancer patients based on the Kano model.

Xijuan Zhao, Jiang Zhang, Mingying Yang, Yan Bian, Yangfeng Qian, Huimin Yan, Tingting Cai

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Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Xijuan ZhaoDepartment of Oncology, The Second Affiliated Hospital of Kunming Medical University, Kunming, China.
Jiang ZhangDepartment of Radiation Oncology, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Peking University Cancer Hospital Yunnan, Kunming, China.
Mingying YangDepartment of Nursing, The Second Affiliated Hospital of Kunming Medical University, Kunming, China.
Yan BianDepartment of Oncology, The Second Affiliated Hospital of Kunming Medical University, Kunming, China.
Yangfeng QianDepartment of Orthopedics, The Second Affiliated Hospital of Kunming Medical University, Kunming, China.
Huimin YanDepartment of Nursing, The First Affiliated Hospital of Kunming Medical University, Kunming, China.
Tingting CaiSchool of Nursing, Fudan University, Shanghai, China. caitingtingguo@163.com.

Funding

the Innovation Fund for College Teachers of the Gansu Provincial Department of Education Grant Nos. 2024A-314the Scientific Research Project of the Chinese Nursing Association ZHKYQ202312
6 · The paper itself

Abstract

purposeThis study explored preferences for electronic health (eHealth) information support regarding chemotherapy adverse reactions among young and middle-aged breast cancer patients based on the Kano model.

methodsThis cross-sectional study recruited eligible breast cancer patients from two tertiary hospitals in China. The participants completed a general information questionnaire, the Patient-Reported Outcomes version of the Common Terminology Criteria for Adverse Events subset, the electronic Health Literacy (eHEALS), and the eHealth information support demand attribute questionnaire based on the Kano model. Data were analyzed using latent profile analysis and binary logistic regression.

resultsA total of 388 patients were enrolled. Latent profile analysis classified young and middle-aged breast cancer patients undergoing chemotherapy into two classes: "a low adverse reaction-symptom adaptation group" (C1, 76.3%) and "a high adverse reaction-symptom distress group" (C2, 23.7%). In C1, eHealth demands comprised two one-dimensional attributes, five attractive attributes, and three indifferent attributes. In contrast, all ten identified eHealth demands in C2 were categorized as attractive attributes. Five attractive attributes were common to both groups.

conclusionsYoung and middle-aged breast cancer patients exhibited distinct preferences for eHealth information to support concerns regarding chemotherapy adverse reactions. Tailoring eHealth information recommendations to these preference profiles may better address their diverse informational needs, help mitigate adverse reactions, and ultimately improve their quality of life.

Indexed as

Antineoplastic AgentsBreast NeoplasmsDrug-Related Side Effects and Adverse ReactionsPatient PreferenceAdultAge FactorsChinaCross-Sectional StudiesDigital HealthFemaleHealth LiteracyHumansMiddle AgedSurveys and QuestionnairesYoung AdultAntineoplastic AgentsBreast cancerChemotherapy adverse reactionsElectronic Health LiteracyInformation preferenceKano modelLatent profile analysis

Identifiers

PMID41706208

What OpenQuestion holds

Textmetadata
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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.