Farah Kais Alhomoud, Lama Wesam Alwohaibi, Kawthar Aljarrash, Faten Alhomoud, Khalid Alamer, Mohammed M Alsultan, Yousef Alqarni, Noor Alotaibi, Anwar Khalifah Alsaad, Afrah Dhafer Alqahtani, Reem Saad Alkhnbashi
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A convenience sampling method, complemented by snowball sampling, was employed to recruit participants. Limitations like sampling bias and self-reported data emphasize the need for broader studies. Quantitative analysis was performed using IBM SPSS.</p><p><strong>Results: </strong>Participants were predominantly young adults (84%) and females (84%), with 54% reporting being healthy and 46% managing chronic conditions. Behavioral strategies, such as time-based reminders, were the most commonly used (40%), followed by technical tools (33%), including mobile applications. Employment status significantly influenced adherence, with employed individuals (adjusted OR: 3.274, p = 0.028) and those working >8 hours daily (adjusted OR: 9.838, p = 0.049) exhibiting higher adherence. Fieldwork negatively impacted adherence (adjusted OR: 0.052, p = 0.007). 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引用次数: 0
摘要
目的：本研究旨在评估沙特阿拉伯吸毒者的药物依从性策略，探讨行为、技术和组织工具的流行程度和有效性，并确定与人口、健康和药物特征相关的药物依从性的关键预测因素。患者和方法：对250名年龄≥18岁且经常服用处方药/非处方药的沙特居民进行了描述性横断面研究。该问卷是通过文献综述，经学术药师验证，并根据试点测试反馈进行完善而开发的。采用方便抽样和滚雪球抽样相结合的方法招募参与者。抽样偏差和自我报告数据等局限性强调需要进行更广泛的研究。采用IBM SPSS进行定量分析。结果：参与者主要是年轻人（84%）和女性（84%），54%的人报告健康，46%的人患有慢性病。行为策略，如基于时间的提醒，是最常用的（40%），其次是技术工具（33%），包括移动应用程序。就业状态显著影响依从性，就业者（调整OR: 3.274, p = 0.028）和每日工作8小时（调整OR: 9.838, p = 0.049）表现出更高的依从性。实地工作对依从性有负向影响（调整OR: 0.052, p = 0.007）。虽然其他人口统计和健康因素没有显示出显著的关联，但趋势表明，复杂的药物治疗方案增加了使用坚持策略的可能性。结论：行为策略，如基于时间和位置的提醒，以及技术工具，如应用程序，有效地提高了药物依从性。医疗保健提供者应推广简单、具有成本效益的方法，如碉堡和移动提醒器，以满足患者的需求。通过有针对性的干预措施和提高认识运动，解决日程要求高/意外或方案复杂的个人的依从性障碍至关重要。未来的研究应该探索这些策略在不同医疗环境中的可扩展性和长期影响。
Evaluating Strategies for Enhancing Medication Adherence in the Kingdom of Saudi Arabia (KSA): A Cross-Sectional Study.
Purpose: This study aimed to assess medication adherence strategies among users in Saudi Arabia, explore the prevalence and effectiveness of behavioral, technical, and organizational tools, and identify key predictors of adherence related to demographic, health, and medication characteristics.
Patients and methods: A descriptive cross-sectional study was conducted among 250 Saudi residents aged ≥18 who regularly take prescription/non-prescription medications. The questionnaire was developed through a literature review, validated by academic pharmacists, and refined based on pilot testing feedback. A convenience sampling method, complemented by snowball sampling, was employed to recruit participants. Limitations like sampling bias and self-reported data emphasize the need for broader studies. Quantitative analysis was performed using IBM SPSS.
Results: Participants were predominantly young adults (84%) and females (84%), with 54% reporting being healthy and 46% managing chronic conditions. Behavioral strategies, such as time-based reminders, were the most commonly used (40%), followed by technical tools (33%), including mobile applications. Employment status significantly influenced adherence, with employed individuals (adjusted OR: 3.274, p = 0.028) and those working >8 hours daily (adjusted OR: 9.838, p = 0.049) exhibiting higher adherence. Fieldwork negatively impacted adherence (adjusted OR: 0.052, p = 0.007). While other demographic and health factors showed no significant associations, trends suggested that complex medication regimens increased the likelihood of using adherence strategies.
Conclusion: Behavioral strategies, such as time- and location-based reminders, and technical tools, like apps, effectively improved medication adherence. Healthcare providers should promote simple, cost-effective methods, such as pillboxes and mobile reminders, tailored to patient needs. Addressing adherence barriers for individuals with demanding/unexpected schedules or complex regimens through targeted interventions and awareness campaigns is essential. Future research should explore these strategies' scalability and long-term impact in diverse healthcare settings.
期刊介绍：
Patient Preference and Adherence is an international, peer reviewed, open access journal that focuses on the growing importance of patient preference and adherence throughout the therapeutic continuum. The journal is characterized by the rapid reporting of reviews, original research, modeling and clinical studies across all therapeutic areas. Patient satisfaction, acceptability, quality of life, compliance, persistence and their role in developing new therapeutic modalities and compounds to optimize clinical outcomes for existing disease states are major areas of interest for the journal.
As of 1st April 2019, Patient Preference and Adherence will no longer consider meta-analyses for publication.
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