Assessing Analgesic Adherence and Influencing Factors in Saudi Cancer Patients

Author:

Algthami TaghreedORCID,Kattan WaleedORCID

Abstract

Background: As cancer incidences rise within the Saudi population, effective pain management remains a critical component of oncological care. Analgesic adherence is vital for managing cancer-related pain, yet it is often inadequately addressed in clinical practice, leading to diminished quality of life of patients. Objectives: This study aimed to assess the level of adherence to analgesic medications among Saudi cancer patients and to identify demographic and health-related factors that may influence adherence. Methods: In a cross-sectional study at King Abdulaziz Medical City, 132 oncology patients were sampled randomly. Data were collected through an online survey incorporating demographic queries and the Morisky Medication Adherence Scale (MMAS-8). SPSS 26 facilitated the statistical analysis, with descriptive statistics and Spearman’s Rho tests determining the significance of the findings. Results: Among participants, 52.2% were married, 51.5% were unemployed, and 80.4% reported substantial social support. Health insurance was prevalent among 79.5% of patients. Low adherence was observed in 94.6% of patients, with only 0.8% showing high adherence. The primary reasons for non-adherence included forgetting (54.5%) and fear of side effects (38.6%). Age and the number of medications were significantly correlated with adherence levels, highlighting the multifactorial nature of medication adherence in this patient population. Conclusions: The research highlights a concerning level of low adherence to analgesics among Saudi oncology patients, suggesting an urgent need for targeted interventions. Strategies to improve adherence should focus on education regarding the importance of pain management and addressing patients' concerns about medication side effects and dependency, as well as personalized medication management plans to accommodate the complexities of handling multiple medications. These findings are instrumental for oncology healthcare providers to optimize pain management strategies and enhance patient outcomes.

Publisher

Briefland

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3