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算法指导的抑郁症治疗可降低治疗费用——来自随机对照的德国算法项目(GAPII)的结果。

Algorithm-guided treatment of depression reduces treatment costs--results from the randomized controlled German Algorithm Project (GAPII).

机构信息

Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, Campus Mitte, Germany.

出版信息

J Affect Disord. 2011 Nov;134(1-3):249-56. doi: 10.1016/j.jad.2011.05.053. Epub 2011 Jul 14.

DOI:10.1016/j.jad.2011.05.053
PMID:21757237
Abstract

BACKGROUND

The German Algorithm Project, Phase 2 (GAP2) revealed that a standardized stepwise treatment regimen (SSTR) results in better treatment outcomes than treatment as usual (TAU) in depressed inpatients. The objective of this study was a health economic evaluation of SSTR based on a cost effectiveness analysis (CEA).

METHODS

GAP2 was a randomized controlled study with 148 patients. In an intention to treat (ITT) analysis direct treatment costs for study duration (SD) and total time in hospital (TTH; enrolment to discharge) were calculated based on daily hospital charges followed by a CEA to calculate cost expenditure per remitted patient.

RESULTS

Treatment costs in SSTR compared to TAU were significantly lower for SD (SSTR: 10 830 € ± 8 632 €, TAU: 15 202 € ± 12 483 €; p = 0.026) and did not differ significantly for TTH (SSTR: 21 561 € ± 16 162 €; TAU: 18 248 € ± 13 454; p = 0.208). CEA revealed that the costs per remission in SSTR were significantly lower for SD (SSTR: 20 035 € ± 15 970 €; SSTR: 38 793 € ± 31 853 €; p<0.0001) and TTH (SSTR: 31 285 € ± 23 451 €; TAU: 38 581 € ± 28 449 €, p = 0.041).

LIMITATIONS

Indirect costs were not assessed. Different dropout rates in TAU and SSTR complicated interpretation of data.

CONCLUSION

An SSTR-based algorithm results in a superior cost effectiveness at no significant extra costs. Implementation of treatment algorithms in inpatient-care may help reduce treatment costs.

摘要

背景

德国算法项目第二阶段(GAP2)显示,与常规治疗(TAU)相比,标准化逐步治疗方案(SSTR)可改善抑郁症住院患者的治疗效果。本研究的目的是基于成本效益分析(CEA)对 SSTR 进行健康经济评估。

方法

GAP2 是一项随机对照研究,纳入 148 例患者。意向治疗(ITT)分析中,根据每日住院费用计算研究期间(SD)和总住院时间(TTH;入组至出院)的直接治疗费用,然后进行 CEA 以计算每位缓解患者的成本支出。

结果

SSTR 的治疗费用明显低于 TAU 的 SD(SSTR:10830 欧元±8632 欧元,TAU:15202 欧元±12483 欧元;p=0.026),但 TTH 无显著差异(SSTR:21561 欧元±16162 欧元,TAU:18248 欧元±13454 欧元;p=0.208)。CEA 显示,SSTR 的 SD(SSTR:20035 欧元±15970 欧元,TAU:38793 欧元±31853 欧元;p<0.0001)和 TTH(SSTR:31285 欧元±23451 欧元,TAU:38581 欧元±28449 欧元;p=0.041)的缓解成本显著降低。

局限性

未评估间接成本。TAU 和 SSTR 不同的辍学率使数据解释复杂化。

结论

基于 SSTR 的算法在不增加显著成本的情况下可获得更好的成本效益。在住院治疗中实施治疗算法可能有助于降低治疗成本。

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