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

Q3 Social Sciences
M. Changizi, L. Ghahremani, Nilofar Ahmadloo, M. Kaveh
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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.
患者健康参与模型对乳腺癌患者社会支持、自我效能和生活质量的预测作用
背景:患者健康参与(PHE)是一个动态和进化的过程,涉及改善健康;然而,关于PHE车型的信息很少。本研究旨在调查癌症女性的健康参与及其与社会支持、自我效能和生活质量的关系。方法:对129例乳腺癌症患者进行横断面研究,这些患者被转诊到专业医疗诊所并符合纳入标准。使用EORTC QLQ-br23问卷、癌症沟通和态度自我效能量表(19项)、感知社会支持量表、NCCN痛苦温度计和PHE量表收集数据。本研究中使用的统计方法包括线性回归、ANOVA、CATREG(使用交替最小二乘法的最优标度的分类回归)和描述性统计。结果:最常见的报告问题是手和/或脚刺痛(43.3%)。PHE评分中位数为2。此外,29.45%和16.27%的患者分别报告中度和重度痛苦。回归分析结果表明,PHE量表能够预测社会支持、自我效能、生活质量及其各维度(P<0.001),结论:鉴于该模型能够预测改善癌症的有效因素,且伊朗尚未实施基于该模型的干预措施,建议设计并实施基于该模式的健康干预措施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Education and Community Health
Journal of Education and Community Health Social Sciences-Education
CiteScore
1.90
自引率
0.00%
发文量
0
审稿时长
8 weeks
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