Patient Health Engagement Model as the Predictor of Social Support, Self-efficacy, and Quality of Life in Breast CancerPatients

  • سال انتشار: 1401
  • محل انتشار: مجله آموزش و سلامت جامعه، دوره: 9، شماره: 1
  • کد COI اختصاصی: JR_JECH-9-1_007
  • زبان مقاله: انگلیسی
  • تعداد مشاهده: 131
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نویسندگان

Maryam Changizi

Department of Health Education and Promotion, School of Health, Shiraz University of Medical Science, Shiraz, Iran

Leila Ghahremani

Department of Health Education and Promotion, School of Health, Shiraz University of Medical Science, Shiraz, Iran

Nilofar Ahmadloo

Department of Radiation Oncology, Nemazee Hospital, Shiraz University of Medical Sciences, Shiraz, Iran

Mohamad Hossein Kaveh

Department of Health Education and Promotion, School of Health, Shiraz University of Medical Science, Shiraz, Iran

چکیده

Background: Patient health engagement (PHE) is a dynamic and evolutionary process that involvesimproving health; however, little information is available on the PHE model. This study aimed to investigatehealth engagement and its relationship with social support, self-efficacy, and the quality of life in womenwith breast cancer.Methods: This cross-sectional study was conducted on ۱۲۹ breast cancer patients who were referred to aspecialized medical clinic and met the inclusion criteria. Data were collected using the EORTC QLQ-br۲۳questionnaire, Communication and Attitudinal Self-efficacy Scale for Cancer (۱۹-item), Perceived SocialSupport Scale, NCCN Distress Thermometer, and PHE Scale. The statistical methods used in this study werelinear regression, ANOVA, CATREG (Categorical regression with optimal scaling using alternating leastsquares), and descriptive statistics.Results: The most commonly reported problem was tingling in hands and/or feet (۴۳.۳%). The medianPHE score was ۲. Additionally, ۲۹.۴۵% and ۱۶.۲۷% of the patients reported moderate and severe distress,respectively. The results of regression analysis showed that the PHE scale could predict social support,self-efficacy, quality of life and all of its dimensions (P < ۰.۰۰۱). However, it is the strongest predictor ofunderstanding and participating in care (P < ۰.۰۰۱, r = ۰.۴۸۵).Conclusion: Given that the model can predict factors effective in improving cancer and interventionsbased on this model have not been performed in Iran, it is recommended that health interventions basedon this model should be designed and implemented.

کلیدواژه ها

Breast cancer, Patient health engagement, Self-efficacy, Social support, Quality of life

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