Prevalence and risk factors of non-adherence to antipsychotic medications in Saudi Arabia.

IF 0.9 4区 医学 Q4 PHARMACOLOGY & PHARMACY International journal of clinical pharmacology and therapeutics Pub Date : 2023-03-01 DOI:10.5414/CP204300
Bshra A Alsfouk, Jouri A Alsamnan, Mariam M Alamri, Nouf Z Alshammari, Raghad A Madkhali, Ali Garatli, Muhammad Salman Bashir, Aisha A Alsfouk
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Abstract

Purpose: To evaluate the rate and determinants of non-adherence to antipsychotic medications in Saudi Arabia.

Materials and methods: This was a cross-sectional study that included a questionnaire, interview, and data extraction from medical records of adult patients on antipsychotic medications. The study was conducted at outpatient clinics at the psychological care department at King Fahad Medical City, Riyadh, Saudi Arabia, between October 25 and November 26, 2020. Data collection included three parts: patients' sociodemographic characteristics; antipsychotic medications used and patients' clinical characteristics; and adherence to antipsychotic medications measured by the Medication Adherence Rating Scale (MARS).

Results: Out of 220 patients, 122 (55.5%) were considered non-adherent (MARS scores 6 or less). The MARS items contributing most to non-adherence were "the medication makes me feel tired and sluggish" and "forget to take the medication", 55 and 40.9%, respectively. Additionally, adverse drug effect significantly increased the risk of poor adherence in regression analysis (odds ratio = 1.97, p = 0.028). The model also showed that female sex, low income, cigarette smoking, substance abuse, uncontrolled disease, comorbidity, and use of Ruqyah religious therapy were associated with increased risk of poor adherence, but were however not statistically significant (p < 0.05).

Conclusion: This study showed high non-adherence rate to antipsychotic medications. Adverse drug effects and forgetting to take medications were the main patient-reported barriers to adherence. Likewise, sociodemographic, clinical, and spiritual factors affected medication adherence. Knowing these predictors helps in early identification of patients who are predisposed to medication non-adherence and allows personalized interventions that improve adherence and treatment outcomes.

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沙特阿拉伯抗精神病药物不依从性的患病率和危险因素
目的:评估沙特阿拉伯抗精神病药物不依从性的比率和决定因素。材料和方法:这是一项横断面研究,包括问卷调查、访谈和从服用抗精神病药物的成年患者的医疗记录中提取数据。该研究于2020年10月25日至11月26日在沙特阿拉伯利雅得法赫德国王医疗城心理护理部门的门诊进行。数据收集包括三部分:患者的社会人口学特征;抗精神病药物使用情况及患者临床特点;通过药物依从性评定量表(MARS)测量抗精神病药物的依从性。结果:在220例患者中,122例(55.5%)被认为是非依从性(MARS评分6分或以下)。MARS项目中对不依从性贡献最大的是“药物使我感到疲倦和迟缓”和“忘记服药”,分别占55%和40.9%。此外,在回归分析中,药物不良反应显著增加依从性差的风险(优势比= 1.97,p = 0.028)。该模型还显示,女性、低收入、吸烟、药物滥用、疾病不受控制、合并症和使用Ruqyah宗教疗法与不良依从性风险增加相关,但无统计学意义(p < 0.05)。结论:本研究显示抗精神病药物的不依从率较高。药物不良反应和忘记服药是患者报告的主要障碍。同样,社会人口学、临床和精神因素也会影响药物依从性。了解这些预测因素有助于早期识别易患药物依从性的患者,并允许个性化干预以改善依从性和治疗结果。
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来源期刊
CiteScore
1.70
自引率
12.50%
发文量
116
审稿时长
4-8 weeks
期刊介绍: The International Journal of Clinical Pharmacology and Therapeutics appears monthly and publishes manuscripts containing original material with emphasis on the following topics: Clinical trials, Pharmacoepidemiology - Pharmacovigilance, Pharmacodynamics, Drug disposition and Pharmacokinetics, Quality assurance, Pharmacogenetics, Biotechnological drugs such as cytokines and recombinant antibiotics. Case reports on adverse reactions are also of interest.
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