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Evidence-Based Supplement Research
Evidence-Based Supplement Research

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.

  • 2025-09-25
  • Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer 33(10)
    • Yan He
    • Zhi Ouyang
    • Qun Li
    • Ping Liu
    • Junru Yi
    • Luxi Yi
    • Yun Deng
    • Jing Yang
    • Ping Guo
    • Yaoyue Luo

Study Design

Type
Clinical Trial
Population
breast cancer patients post-surgery
Methods
Literature research, patient surveys, expert interviews, group discussions, two-round Delphi method with 16 experts, analytical hierarchy process

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.

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