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通过采用新的预约政策,将儿童和青少年接受心理健康服务的等候时间从 65 天减少到 40 天以下。

Reducing waiting times from 65 to under 40 days for children and adolescents receiving mental health services using a new scheduling policy.

机构信息

Regional Center for Healthcare Improvement, St. Olavs hospital, Trondheim University hospital, Trondheim, Norway.

Department of Industrial Economics and Technology Management, Norwegian University of Science and Technology, Høgskoleringen 1, 7491, Trondheim, Norway.

出版信息

Health Serv Manage Res. 2023 Nov;36(4):249-261. doi: 10.1177/09514848221122895. Epub 2022 Aug 31.

Abstract

The aim of this study is to conduct an intervention that tests whether a new scheduling policy designed to reduce waiting times actually will lead to a reduction in waiting times. The new scheduling policy was developed using mixed methods. Qualitative data was gathered to fully understand current planning processes, while quantitative methods were used to model and predict future waiting times. If current planning practices are continued, waiting times will only increase. Additionally, the findings show that simulation modeling can be used to predict the capacity needed for intakes (first appointment) to reduce and maintain target waiting times over time. In our study, this meant a slight increase in capacity for intakes. This new scheduling policy led to a reduction in waiting times from 65 days in 2016, to under 40 days post-intervention in 2017. Waiting times have been held under 40 days since implementation of the new policy, 2017-2020. Our study shows that setting appropriate (weekly) intake goals, will lead to maintaining acceptable levels of variation in waiting times. This theory was tested and proven to be effective.

摘要

本研究旨在进行一项干预措施,以检验旨在减少等待时间的新调度政策是否真的会导致等待时间减少。新的调度政策是使用混合方法制定的。收集定性数据是为了充分了解当前的规划流程,而使用定量方法是为了对未来的等待时间进行建模和预测。如果继续采用当前的规划实践,等待时间只会增加。此外,研究结果表明,模拟建模可用于预测摄入量(首次预约)所需的能力,以随着时间的推移减少和维持目标等待时间。在我们的研究中,这意味着摄入量的能力略有增加。自 2017 年实施新政策以来,该新调度政策使等待时间从 2016 年的 65 天减少到干预后的 40 天以下。自 2017 年以来,等待时间一直保持在 40 天以下。我们的研究表明,设定适当的(每周)摄入量目标将有助于保持等待时间可接受的变化水平。这一理论经过了测试和证明是有效的。

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