Self-optimization Pharmaceutical Care Model for Breast Cancer Patients after Modified Radical Mastectomy
10.3870/j.issn.1004-0781.2024.06.021
- VernacularTitle:乳腺癌改良根治术后患者药学监护自我优化模型研究
- Author:
Yijia YE
1
,
2
;
Long TIAN
;
Jing YU
Author Information
1. 河北医科大学第一医院临床药学部,石家庄 050017
2. 河北北方学院附属第一医院药学部,张家口 075000
- Keywords:
Modified radical mastectomy for breast cancer;
Pharmaceutical care;
Self-optimization
- From:
Herald of Medicine
2024;43(6):977-981
- CountryChina
- Language:Chinese
-
Abstract:
Objective To create a self-optimization pharmaceutical care(PC)model for breast cancer patients after modified radical mastectomy based on the concept of"CMT"and evaluate the value of reference.Methods A total of 846 breast cancer patients after modified radical mastectomy in the HIS system of First Affiliated Hospital of Hebei North University from June 2019 to June 2023 were selected.The model included four levels:quality of life(QOL)score,research,QOL score classification and association rule analysis.The QOL scores of the patients were counted.The PC features of the patients were col-lected through research.The QOL scores were classified by using automatic binning analysis.The effective strong association rules between PC feature of patients with interest QOL scores were analyzed by using association rule analysis.logistic regression analy-sis was performed on the date of all the patients to analyze the independent risk factors leading to the interest type QOL score.The reference value of the model was evaluated based on the statistical results and PC optimization measures were proposed.Results The QOL scores of the patients were divided into four categories,with the lowest score being the interest category.Six effective strong association rules were obtained."CCI＞4","Clarifying long-term medication goals:No","Timely detection and reporting of adverse reactions:No","Explaining medication prognosis:No","Answering patient questions:No","Drug selection",and"Insufficient training"were all the reasons for the lowest QOL score.The results of the model were basically consistent with that of Logistic regression analysis.Based on the feedback results of the model,targeted optimization measures were proposed to reme-dy PC defects.Conclusion The application of PC self-optimization model for breast cancer patients after modified radical mastectomy has certain feasibility and can provide some reference for improving the quality of PC.
