抑郁症的医生知识、经济激励和治疗决策

IF 1 4区 医学 Q4 HEALTH POLICY & SERVICES
Roland Sturm, Kenneth B. Wells
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引用次数: 6

摘要

背景:影响医疗保健提供的两个重要政策杠杆是资金和信息干预。不幸的是,这两种方法没有被同时考虑,对它们的效果如何比较也知之甚少。研究目的:本文估计了经济激励(预付费与服务费)和提供者信息(抗抑郁药物的认知知识和抑郁症咨询技能)对轻度和重度抑郁症患者的护理质量及其健康和成本结果的相对作用。方法:我们开发了一个提供者行为的理论模型,并使用具有异方差的多项式概率模型来估计简化形式。然后,模拟提供者对初级保健中抑郁症治疗知识的改变可能产生的影响,并将其与向预付费管理护理而非收费服务护理转变的影响进行对比。经验模型是使用来自医学结果研究的数据进行估计的。结果:我们得出结论,资金和信息具有不同的效果,它们的结合可以实现改善健康结果和减少直接治疗目标这两个相互矛盾的目标。此外,将家庭收入作为社会成本的一个重要维度表明,从社会成本的角度来看,信息干预和向预付费护理的转变相结合可能会单独主导任何一种干预。特别是在信息方面,我们发现,增加提供者的知识可能会产生非常理想的效果,即更大程度地针对病情较重的患者进行治疗,同时不会大大提高总体治疗率——许多人希望管理性护理能够实现这种治疗模式,但几乎没有证据表明这一点。结论:我们的分析说明了同时考虑这些截然不同的政策目标的价值。我们了解到,与融资策略的完全改变相比,医生知识的变化通常与抑郁症的临床相关实践模式有更强的关联。我们模拟的感知知识的适度变化(不接近感知知识观察值的极端值)与护理适当性的足够改善有关,从按服务收费向预付费管理护理的完全转变远远抵消了适当性的降低。对卫生政策的影响:该文件证明了同时考虑不同干预措施的重要性。同时将信息和财政干预相结合可以实现更好的护理质量和降低医疗成本,而这两种干预都无法单独实现。©1998 John Wiley&;有限公司。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Physician knowledge, financial incentives and treatment decisions for depression

Background: Two important policy levers to affect health care delivery are financing and informational interventions. Unfortunately, these two approaches have not been considered simultaneously and little is known about how their effects compare.

Aims of the Study: This paper estimates the relative role of financial incentives (prepaid versus fee for service) and provider information (perceived knowledge of antidepressant medications and skill in counseling for depression) on quality of care for less and more severely depressed patients and their health and cost outcomes.

Methods: We develop a theoretical model of provider behavior and estimate a reduced form using a multinomial probit model with heteroskedastic covariances. The likely effects of changing provider knowledge about depression treatment in primary care are then simulated and contrasted with the effects of a shift toward prepaid managed care as opposed to fee-for-service care. The empirical model is estimated using data from the Medical Outcomes Study.

Results: We conclude that financing and information have different effects and that their combination can achieve the conflicting goals of improved health outcomes and reduced direct treatment goals. Moreover, including family income as one important dimension of social cost suggests that the combination of informational interventions and a shift to prepaid care may dominate either one intervention in isolation from a social cost perspective. Specifically regarding information, we found that increasing provider knowledge could have the highly desirable effect of greater targeting of treatments to sicker patients while not raising overall treatment rates much—a treatment pattern that many hoped managed care could achieve, but for which there has been little evidence.

Conclusions: Our analysis illustrates the value of considering these widely different policy goals simultaneously. We learned that variation in physician knowledge generally had stronger associations with clinically relevant practice patterns for depression than did a complete change in financing strategy. The moderate change in perceived knowledge we simulated (not near the extremes of observed values of perceived knowledge) was associated with enough improvement in appropriateness of care to more than offset the reduction in appropriateness with a complete shift from fee-for-service to prepaid managed care.

Implications for Health Policy: The paper demonstrates the importance of considering different interventions simultaneously. Combining informational and financial interventions simultaneously can achieve better quality of care and reduce health care costs, something neither intervention can in isolation. © 1998 John Wiley & Sons, Ltd.

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来源期刊
CiteScore
2.20
自引率
6.20%
发文量
8
期刊介绍: The Journal of Mental Health Policy and Economics publishes high quality empirical, analytical and methodologic papers focusing on the application of health and economic research and policy analysis in mental health. It offers an international forum to enable the different participants in mental health policy and economics - psychiatrists involved in research and care and other mental health workers, health services researchers, health economists, policy makers, public and private health providers, advocacy groups, and the pharmaceutical industry - to share common information in a common language.
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