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Submitted: 02 Feb 2021
Accepted: 31 Aug 2021
ePublished: 30 Mar 2022
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J Educ Community Health. 2022;9: 26-31.
doi: 10.34172/jech.2022.5
  Abstract View: 82
  PDF Download: 51

Cancer Prevention

Original Article

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

Maryam Changizi 1 ORCID logo, Leila Ghahremani 1* ORCID logo, Nilofar Ahmadloo 2, Mohamad Hossein Kaveh 1

1 Department of Health Education and Promotion, School of Health, Shiraz University of Medical Science, Shiraz, Iran
2 Department of Radiation Oncology, Nemazee Hospital, Shiraz University of Medical Sciences, Shiraz, Iran
*Corresponding Author: *Corresponding author: Leila Ghahremani, Department of Health Education and Promotion, School of Health, Shiraz, Iran. Tel:+9837251001-233, Email: , Email: ghahramanl@sums.ac.ir

Abstract

Background: Patient health engagement (PHE) is a dynamic and evolutionary process that involves improving health; however, little information is available on the PHE model. This study aimed to investigate health engagement and its relationship with social support, self-efficacy, and the quality of life in women with breast cancer.

Methods: This cross-sectional study was conducted on 129 breast cancer patients who were referred to a specialized medical clinic and met the inclusion criteria. Data were collected using the EORTC QLQ-br23 questionnaire, Communication and Attitudinal Self-efficacy Scale for Cancer (19-item), Perceived Social Support Scale, NCCN Distress Thermometer, and PHE Scale. The statistical methods used in this study were linear regression, ANOVA, CATREG (Categorical regression with optimal scaling using alternating least squares), and descriptive statistics.

Results: The most commonly reported problem was tingling in hands and/or feet (43.3%). The median PHE score was 2. Additionally, 29.45% and 16.27% 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<0.001). However, it is the strongest predictor of understanding and participating in care (P<0.001, r=0.485).

Conclusion: Given that the model can predict factors effective in improving cancer and interventions based on this model have not been performed in Iran, it is recommended that health interventions based on this model should be designed and implemented.

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

Please cite this article as follows: Changizi M, Ghahremani L, Ahmadloo N, Kaveh MH. Patient health engagement model as the predictor of social support, self-efficacy, and quality of life in breast cancer patients. J Educ Community Health. 2022; 9(1):26-31. doi:10.34172/ jech.2022.5
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