Cost-effectiveness analysis of genotype-guided optimization of major depression treatment in Qatar.

IF 3.3 Q1 HEALTH POLICY & SERVICES Journal of Pharmaceutical Policy and Practice Pub Date : 2024-10-25 eCollection Date: 2024-01-01 DOI:10.1080/20523211.2024.2410197
Dina Abushanab, Shaban Mohammed, Rania Abdel-Latif, Wadha Al-Muftah, Said I Ismail, Moza Al Hail, Wafa Al-Marridi, Oraib Abdallah, Noriya Al-Khuzaei, Asma Al-Thani, Daoud Al-Badriyeh
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Abstract

Background: Pharmacogenetic testing improves the efficacy and safety of antidepressant pharmacotherapy for moderate-severe major depressive disorder by identifying genetic variations that influence medication metabolism, and adjusting treatment regimens accordingly. This study aims to assess the cost-effectiveness of implementing a pharmacogenetic testing approach to guide the prescription of antidepressants.

Methods: From the public hospital perspective, we developed a two-stage decision tree diagram of a short-term 6-week follow up, and a lifetime Markov model with 3-month cycles. The analysis compared the current standard of care with the alternative strategy of Pharmacogenetic-guided (multi-gene panel) testing in adult patients with moderate-severe major depressive disorder. Clinical outcomes and utilities were obtained from published studies, while healthcare costs were locally available. The short-term incremental cost-effectiveness ratio was against treatment response without side effects and without relapse, and against treatment response with/without side effects and without relapse. The long-term incremental cost-effectiveness ratio was against the quality-adjusted life year gained and years of life saved.

Results: Adopting the pharmacogenetic-guided therapy for adult patients with moderate-severe major depressive disorder in Qatar resulted in cost savings of Qatari Riyal 2,289 (95% confidence interval, -22,654-26,340) for the health system. In the short term, the pharmacogenetic-guided testing was associated with higher response rates without side effects and without relapse (mean difference 0.10, 95% confidence interval 0.09-0.15) and higher response rates with or without side effects and without relapse (mean difference 0.05, 95% confidence interval 0.04-0.06). For long term, the pharmacogenetic-guided testing resulted in 0.13 years of life saved and 0.06 quality-adjusted life year gained, per person, along with cost savings of Qatari Riyal 46,215 (95% confidence interval-15,744-101,758). The sensitivity analyses confirmed the robustness of the model results.

Conclusion: Implementing pharmacogenetic testing to guide antidepressant use was found to improve population health outcomes, while also significantly reducing health system costs.

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卡塔尔重度抑郁症治疗基因型指导优化的成本效益分析。
背景:药物基因检测通过确定影响药物代谢的基因变异并相应调整治疗方案,可提高中度-重度重度抑郁症抗抑郁药物治疗的疗效和安全性。本研究旨在评估采用药物基因检测方法指导抗抑郁药物处方的成本效益:从公立医院的角度出发,我们开发了一个两阶段决策树图,包括 6 周的短期随访和以 3 个月为周期的终身马尔可夫模型。该分析比较了目前的治疗标准与药物基因指导(多基因面板)测试替代策略,后者适用于中度-重度抑郁症成年患者。临床结果和效用来自已发表的研究,而医疗成本则来自当地资料。短期增量成本效益比针对的是无副作用、无复发的治疗反应,以及有/无副作用、无复发的治疗反应。长期增量成本效益比是根据获得的质量调整生命年和挽救的生命年计算的:结果:在卡塔尔,对中度-重度重度抑郁症成年患者采用药物基因指导疗法可为卫生系统节约成本 2,289 卡塔尔里亚尔(95% 置信区间:-22,654-26,340)。在短期内,药物基因指导测试与较高的无副作用和无复发应答率相关(平均差异为 0.10,95% 置信区间为 0.09-0.15),与较高的有或无副作用和无复发应答率相关(平均差异为 0.05,95% 置信区间为 0.04-0.06)。从长远来看,药物基因指导检测为每人节省了 0.13 年的生命,提高了 0.06 个质量调整生命年,并节省了 46,215 卡塔尔里亚尔的成本(95% 置信区间为 15,744-101,758 卡塔尔里亚尔)。敏感性分析证实了模型结果的稳健性:结论:实施药物基因检测来指导抗抑郁药物的使用不仅能改善人群健康状况,还能显著降低医疗系统成本。
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来源期刊
Journal of Pharmaceutical Policy and Practice
Journal of Pharmaceutical Policy and Practice Health Professions-Pharmacy
CiteScore
4.70
自引率
9.50%
发文量
81
审稿时长
14 weeks
期刊最新文献
A quantitative investigation in a territory of Italy on citizens' attitudes towards medicines through the COVID-19 pandemic: the importance of possible indirect effects caused by the pandemic. Cost-effectiveness analysis of genotype-guided optimization of major depression treatment in Qatar. Exploring the influencing factors of adverse drug reaction reporting among medical personnel: a COM-B model-based study. Pharmacovigilance: the evolution of drug safety monitoring. Inhaler personalisation based on peak inspiratory flow (PIF) among dry powder inhaler users: a pilot randomised control trial (RCT) in COPD.
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