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
Year: 2025
Type: article
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.
Source: Supportive Care in Cancer
Authors: Yan He, Zhi Ouyang, Qun Li, Ping Liu, Junru Yi, Luxi Yi, Yun Deng, Jing Yang, Ping Guo, Yaoyue Luo
Institutions: Hunan University of Traditional Chinese Medicine, Hunan Academy of Traditional Chinese Medicine, Hunan Provincial Hospital of Integrated Traditional Chinese and Western Medicine (The Affiliated Hospital of Hunan Academy of Traditional Chinese Medicine), Second Affiliated Hospital of Hunan University of Traditional Chinese Medicine
Language: English
Subfield: General Health Professions
Field: Health Professions
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $4,690
OpenAlex ID: W4414533023
