Evidence map›Paper›PMID 38814489›Full record

ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2024

Acute skin toxicity and self-management ability among Chinese breast cancer radiotherapy patients: a qualitative study.

Xiaomeng Lu, Yunteng Yin, Wenhui Geng, Lei Liu, Fengxia Liu, Zhenye Zhang

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Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

What it found

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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.

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Xiaomeng LuRadiotherapy Department, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.
Yunteng YinDepartment of Otolaryngology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.
Wenhui GengRadiotherapy Department, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.
Lei LiuDepartment of Breast Centre, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.
Fengxia LiuDepartment of Nursing, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China. 47400710@hebmu.edu.cn.
Zhenye ZhangDepartment of Hospital Management, Shenzhou Hospital, Shenzhou, Hebei Province, China.

Funding

Xiaomeng Lu 20241179
6 · The paper itself

Abstract

objectivesRadiation dermatitis is the most common reaction to radiotherapy, almost all breast cancer patients receive radiotherapy on an outpatient basis. Currently, there are no studies on the experience of radiation dermatitis and the ability to self-manage it. Therefore, we aimed to use qualitative approaches to gain a deeper understanding of the actual experiences and self-management ability in order to provide a reference for further improving the effectiveness of self-management and to optimize symptom management strategies.

methodsA descriptive qualitative study was conducted using purposive sampling to select 17 breast cancer patients undergoing radiotherapy. Semi-structured interviews were conducted from September to November 2023. The Colaizzi seven-step analysis method was used to classify the data into summarized themes.

resultsFour themes were identified from the interview responses: (1) multiple self-reported skin symptoms in breast cancer patients with radiation dermatitis; (2) the multidimensional impact on patient's quality of life, especially pruritus, ulceration; (3) the ability to self-manage radiation dermatitis: strong mental toughness, positive response, and self-doubt; (4) challenges faced: concerns about radiotherapy side effects and recurrence, targeted symptom management and continuity of care after the radiotherapy.

conclusionsHealthcare professionals should consider patients' self-reported symptoms when assessing radiation dermatitis. For pruritus and pain, we can enhance precision symptom management to improve patients' quality of life. By utilizing information technology tools, we can increase breast cancer patients' ability and confidence in managing radiation dermatitis effectively while enhancing accurate symptom management during radiotherapy.

Indexed as

Breast NeoplasmsQualitative ResearchQuality of LifeRadiodermatitisSelf-ManagementAdultAgedChinaEast Asian PeopleFemaleHumansInterviews as TopicMiddle AgedRadiotherapyBreast neoplasmQualitative researchQuality of lifeRadiodermatitisRadiotherapySelf-management

Identifiers

PMID38814489
PMCPMC11139738

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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.