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沙特阿拉伯抗精神病药物治疗依从性不佳的患病率及危险因素

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

作者信息

Alsfouk Bshra A, Alsamnan Jouri A, Alamri Mariam M, Alshammari Nouf Z, Madkhali Raghad A, Garatli Ali, Bashir Muhammad Salman, Alsfouk Aisha A

出版信息

Int J Clin Pharmacol Ther. 2023 Mar;61(3):111-121. doi: 10.5414/CP204300.

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.

摘要

目的

评估沙特阿拉伯抗精神病药物治疗的不依从率及其决定因素。

材料与方法

这是一项横断面研究,包括问卷调查、访谈以及从服用抗精神病药物的成年患者病历中提取数据。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科的门诊进行。数据收集包括三个部分:患者的社会人口学特征;使用的抗精神病药物及患者的临床特征;以及通过药物依从性评定量表(MARS)测量的抗精神病药物依从性。

结果

在220名患者中,122名(55.5%)被认为不依从(MARS评分≤6分)。对不依从影响最大的MARS项目分别是“药物让我感到疲倦和行动迟缓”(55%)和“忘记服药”(40.9%)。此外,在回归分析中,药物不良反应显著增加了依从性差风险(比值比=1.97,p=0.028)。该模型还显示,女性、低收入、吸烟、药物滥用、疾病未得到控制、合并症以及使用鲁克亚宗教疗法与依从性差风险增加有关,但无统计学意义(p<0.05)。

结论

本研究显示抗精神病药物治疗的不依从率较高。药物不良反应和忘记服药是患者报告的主要依从性障碍。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出现药物不依从的患者,并允许进行个性化干预以提高依从性和治疗效果。

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