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增强型认知行为干预与计算机化认知训练对中风后抑郁症状的经济学评估。

An economic evaluation of an augmented cognitive behavioural intervention vs. computerized cognitive training for post-stroke depressive symptoms.

作者信息

van Eeden M, Kootker J A, Evers S M A A, van Heugten C M, Geurts A C H, van Mastrigt G A P G

机构信息

Department of Health Services Research, CAPHRI School for Public Health and Primary Care, Faculty of Health, Medicine and Life Sciences, Maastricht University, P.O. Box 616, 6200 MD, Maastricht, The Netherlands.

MHeNS, School for Mental Health & Neuroscience; Department of Psychiatry & Neuropsychology, Faculty of Health, Medicine & Life Sciences, Maastricht University, Maastricht, The Netherlands.

出版信息

BMC Neurol. 2015 Dec 29;15:266. doi: 10.1186/s12883-015-0522-y.

Abstract

BACKGROUND

Stroke survivors encounter emotional problems in the chronic phase after stroke. Post-stroke depressive symptoms have major impact on health-related quality of life (HRQol) and lead to increased hospitalization and therefore substantial healthcare costs. We present a cost-effectiveness and cost-utility evaluation of a cognitive behavioural therapy augmented with occupational and movement therapy to support patients with a stroke with depressive symptoms in goal-setting and goal attainment (augmented CBT) in comparison with a computerized cognitive training program (CogniPlus) as a control intervention.

METHODS

A trial-based economic evaluation was conducted from a societal perspective with a time horizon of 12 months. Stroke patients (aged 18+ years) with signs of depression (Hospital Anxiety and Depression Scale (HADS) - subscale depression > 7) were eligible to participate. Primary outcomes were the HADS and Quality Adjusted Life Years (QALYs) based on the three-level five-dimensional EuroQol (EQ-5D-3 L). Missing data were handled through mean imputation (costs) and multiple imputation (HADS and EuroQol), and costs were bootstrapped. Sensitivity analyses were performed to test robustness of baseline assumptions.

RESULTS

Sixty-one patients were included. The average total societal costs were not significantly different between the control group (€9,998.3) and the augmented CBT group (€8,063.7), with a 95 % confidence interval (-5,284, 1,796). The augmented CBT intervention was less costly and less effective from a societal perspective on the HADS, and less costly and slightly more effective in QALYs, in comparison with the control treatment. The cost-effectiveness and cost-utility analyses provided greater effects and fewer costs for the augmented CBT group, and fewer effects and costs for the HADS. Based on a willingness to pay (WTP) level of €40,000 per QALY, the augmented CBT intervention had a 76 % chance of being cost-effective. Sensitivity analyses showed robustness of results.

CONCLUSION

The stroke-specific augmented CBT intervention did not show convincing cost-effectiveness results. In addition to other literature, this study provided new insights into the potential cost-effectiveness of an adjusted cognitive behavioural therapy intervention. However, as our study showed a 76 % chance of being cost-effective for one outcome measure (QALY) and did not provide convincing cost-effectiveness results on the HADS we recommend further research in a larger population.

摘要

背景

中风幸存者在中风后的慢性期会出现情绪问题。中风后抑郁症状对健康相关生活质量(HRQol)有重大影响,并导致住院率增加,从而产生大量医疗费用。我们对一种认知行为疗法进行了成本效益和成本效用评估,该疗法辅以职业和运动疗法,以支持有抑郁症状的中风患者设定目标并实现目标(强化认知行为疗法),并与作为对照干预的计算机化认知训练程序(CogniPlus)进行比较。

方法

从社会角度进行了一项基于试验的经济评估,时间跨度为12个月。有抑郁迹象(医院焦虑抑郁量表(HADS)-抑郁分量表>7)的中风患者(年龄18岁及以上)有资格参与。主要结局指标是基于三级五维度欧洲生活质量量表(EQ-5D-3L)的HADS和质量调整生命年(QALYs)。缺失数据通过均值插补(成本)和多重插补(HADS和欧洲生活质量量表)处理,成本进行了自抽样。进行敏感性分析以检验基线假设的稳健性。

结果

纳入61名患者。对照组(9998.3欧元)和强化认知行为疗法组(8063.7欧元)的平均社会总成本无显著差异,95%置信区间为(-5284, 1796)。与对照治疗相比,从社会角度来看,强化认知行为疗法干预在HADS方面成本更低且效果更差,在QALYs方面成本更低且效果略好。成本效益和成本效用分析显示强化认知行为疗法组效果更好且成本更低,HADS方面效果和成本更少。基于每QALY支付意愿(WTP)水平40000欧元,强化认知行为疗法干预有76%的可能性具有成本效益。敏感性分析显示结果具有稳健性。

结论

针对中风的强化认知行为疗法干预未显示出令人信服的成本效益结果。除其他文献外,本研究为调整后的认知行为疗法干预的潜在成本效益提供了新见解。然而,由于我们的研究显示对于一个结局指标(QALY)有76%的可能性具有成本效益,且未在HADS上提供令人信服的成本效益结果,我们建议在更大规模人群中进行进一步研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0611/4696099/b6723df290fd/12883_2015_522_Fig1_HTML.jpg

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