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预测非工作时间医疗服务的地点——基于离散选择分析的市场模拟。

Predicting the place of out-of-hours care--a market simulation based on discrete choice analysis.

机构信息

University of Antwerp, Department of Family Medicine, Centre for General Practice, Universiteitsplein 1, B-2610 Antwerp, Belgium.

出版信息

Health Policy. 2012 Aug;106(3):284-90. doi: 10.1016/j.healthpol.2012.04.010. Epub 2012 May 15.

DOI:10.1016/j.healthpol.2012.04.010
PMID:22595229
Abstract

BACKGROUND

Increasing cost pressure and changing patients' needs in the healthcare sector have led to new delivery models for primary care. Researchers and practitioners need to establish innovative methods to obtain insights into patients' preferences and effectiveness of healthcare services.

AIM

This study reveals the crucial decision criteria of patients in choosing out-of-hours services and provides a projection of a future market share of the newly established central out-of-hours service, called General Practitioner Cooperative.

DESIGN

A computer-aided discrete choice experiment.

METHOD

Respondents were 350 patients in a European city who decided for a service when confronted with a medical emergency in an out-of-hours case; two scenarios called 'adult' and 'child', describing the persons requiring medical assistance, were used to increase generalizability.

RESULTS

The two most important attributes were 'explanation by the doctor' and 'waiting time' while the others - 'availability of technical equipment', 'ease of access', 'type of consultation' and 'payment method' - were of less importance. The market share projections predict that the new General Practitioner Cooperative will capture about one third of the market ('adult': 39.1%, 'child': 31.3%), ahead of the emergency department, the second most preferred service ('adult': 32.7%, 'child': 30.7%).

CONCLUSIONS

This study quantifies the adoption of a new medical service. As a result, it extends current research approaches on eliciting and matching patient's needs and assists policy makers in establishing adequate service capacities.

摘要

背景

医疗保健领域成本压力的增加和患者需求的变化,导致了初级保健的新交付模式。研究人员和从业者需要建立创新的方法,以了解患者对医疗服务的偏好和效果。

目的

本研究揭示了患者选择非工作时间服务的关键决策标准,并对新成立的名为全科医生合作的中央非工作时间服务的未来市场份额进行预测。

设计

计算机辅助离散选择实验。

方法

受访者是欧洲某城市的 350 名在非工作时间遇到医疗紧急情况时选择服务的患者;使用了两个名为“成人”和“儿童”的场景来描述需要医疗援助的人,以提高通用性。

结果

两个最重要的属性是“医生解释”和“等待时间”,而其他属性——“技术设备的可用性”、“易于访问”、“咨询类型”和“支付方式”——则不那么重要。市场份额预测表明,新的全科医生合作组织将占据约三分之一的市场份额(“成人”:39.1%,“儿童”:31.3%),领先于第二受欢迎的服务——急诊部(“成人”:32.7%,“儿童”:30.7%)。

结论

本研究量化了新医疗服务的采用。因此,它扩展了当前关于挖掘和匹配患者需求的研究方法,并为政策制定者提供了建立足够服务能力的帮助。

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