Development of a digital home self-care rehabilitation program for breast cancer patients post-surgery based on traditional Chinese medicine nursing diagnostics: a Delphi study.

IF 3 3区医学 Q2 HEALTH CARE SCIENCES & SERVICES

Supportive Care in Cancer Pub Date : 2025-09-25 DOI:10.1007/s00520-025-09913-9

Yan He, Zhi Ouyang, Qun Li, Ping Liu, Junru Yi, Luxi Yi, Yun Deng, Jing Yang, Ping Guo, Yaoyue Luo

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引用次数: 0

Abstract

Purpose: To develop a rigorous and standardized digital home self-care rehabilitation program for breast cancer patients' post-surgery, based on traditional Chinese medicine (TCM) nursing diagnostics.

Methods: The initial draft of a digital rehabilitation module based on the WeChat mini-program was prepared through Literature research, patient surveys, expert interviews, And group discussions. A two-round Delphi method was used to consult 16 experts, revising, adding, and removing elements to finalize the rehabilitation plan.

Results: The response rate for both rounds of the Delphi expert consultation was 100%, with authority coefficients of 0.813 And 0.841, respectively, and Kendall's coefficient of concordance values of 0.789 And 0.513 (both P < 0.001). The final plan includes 3 primary entries, 8 secondary entries, And 10 tertiary entries. Analytical hierarchy process results showed that the consistency ratio (CR) values for all matrices of the tertiary entries were < 0.1, meeting the requirements for consistency tests.

Conclusion: The constructed digital home self-care rehabilitation program for postoperative breast cancer patients, developed through evidence synthesis and expert consensus using Delphi consultation and AHP, is methodologically rigorous, reliable, and clinically applicable.

Trial registration: ClinicalTrials.gov Identifier: ITMCTR2024000368.

查看原文本刊更多论文

基于中医护理诊断的乳腺癌术后数字家庭自我护理康复方案的开发：德尔菲研究

目的：基于中医护理诊断，为乳腺癌术后患者制定一套严谨、规范的数字家庭自我护理康复方案。方法：通过文献研究、患者调查、专家访谈、小组讨论等方法，编制基于微信小程序的数字康复模块初稿。采用两轮德尔菲法咨询16位专家，修改、增加、删除要素，最终确定康复方案。结果：两轮德尔菲专家咨询的有效率均为100%，权威系数分别为0.813和0.841，肯德尔协调系数分别为0.789和0.513（均为P）。结论：采用德尔菲咨询和层次分析法，通过证据综合和专家共识，构建的乳腺癌术后数字家庭自我护理康复方案方法学严谨、可靠，具有临床应用价值。试验注册：ClinicalTrials.gov标识符：ITMCTR2024000368。

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来源期刊

Supportive Care in Cancer 医学-康复医学

CiteScore

5.70

自引率

9.70%

发文量

751

审稿时长

3 months

期刊介绍： Supportive Care in Cancer provides members of the Multinational Association of Supportive Care in Cancer (MASCC) and all other interested individuals, groups and institutions with the most recent scientific and social information on all aspects of supportive care in cancer patients. It covers primarily medical, technical and surgical topics concerning supportive therapy and care which may supplement or substitute basic cancer treatment at all stages of the disease. Nursing, rehabilitative, psychosocial and spiritual issues of support are also included.