Prediction of Medication Adherence Based on Dispositional Resilience, Ambiguity Tolerance and Perceived Social Support in Patients with Lung Cancer

Javad Ardeshirpey, A. Bakhshayesh, M. Dehghan
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Abstract

Introduction:Lung cancer is the leading cause of cancer mortality worldwide. In recent years, the role of psychological factors in adherence to medication in patients with lung cancer has attracted more attention. This study aimed to investigate the prediction of medication adherence based on dispositional resilience, tolerance for ambiguity and perceived social support in patients with lung cancer in Yazd. Method: This descriptive-correlational study was conducted using a cross-sectional design. The statistical population consisted of all patients with lung cancer visiting Shahid Ramezan Zadeh Radiation Therapy Center in Yazd in 2020-2021, and 120 male patients were selected using convenience sampling. Data were collected using Medication Adherence Report Scale (MARS-8), Dispositional Resilience Scale (HARDY), Ambiguity Tolerance Scale-I (MSTAT-I) and Multidimensional Scale of Perceived Social Support (MSPSS), whose validity and reliability were confirmed. Then, they were analyzed in SPSS 23 using Pearson correlation coefficient and multiple regression. Results:Results suggested a significant positive correlation between dispositional resilience and medication adherence (R=0/47), ambiguity tolerance and medication adherence (R=0/61), as well as perceived social support and medication adherence (R=0.68) (P<0/001). According to the results, the predictor variables generally explained 46.3% of the variance of medication adherence. Conclusion: Based on the results, medication adherence in patients with lung cancer is predictable using dispositional resilience, ambiguity tolerance and perceived social support.
基于气质弹性、模糊耐受性和感知社会支持的肺癌患者药物依从性预测
肺癌是世界范围内癌症死亡的主要原因。近年来,心理因素在肺癌患者药物依从性中的作用越来越受到关注。本研究旨在探讨亚兹德地区肺癌患者基于性格弹性、模糊耐受性和感知社会支持的药物依从性预测。方法:采用横断面设计进行描述性相关研究。统计人群为2020-2021年在亚兹德市Shahid Ramezan Zadeh放射治疗中心就诊的所有肺癌患者,采用方便抽样法选取120名男性患者。采用药物依从性报告量表(MARS-8)、气质弹性量表(HARDY)、模糊容忍量表- i (MSTAT-I)和感知社会支持多维量表(MSPSS)收集数据,对其效度和信度进行验证。然后,在SPSS 23中使用Pearson相关系数和多元回归进行分析。结果:心理韧性与药物依从性(R=0/47)、模糊耐受性与药物依从性(R=0/61)、感知社会支持与药物依从性(R=0.68)呈显著正相关(P<0/001)。结果显示,预测变量总体上解释了药物依从性方差的46.3%。结论:基于研究结果,肺癌患者的药物依从性可通过性格弹性、模糊耐受性和感知社会支持来预测。
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