David G Baker, Bridget Kenny, Sophie C Prober, Amanda Sabo, Matthew P Hamilton, Caroline X Gao, Shane Cross
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摘要

目的本文为研究人员提供了一个研讨会模式的说明性指南,该模式有助于制定以证据为依据的政策。政策实验室模式支持专家与政策制定者之间的合作;在所提供的示例中,参与者考虑了近期有可能改善青少年心理健康护理的数字技术。方法政策实验室模式利用结构化的研讨会活动来探讨政策问题,然后再将焦点缩小到潜在的答案上。然后考虑潜在政策的障碍、推动因素和实施机制。结果通过政策实验室活动,参与者确定了两项优先技术,并为制定两项政策提供了数据。这些政策的重点是:(1) 利用人工智能提高青少年心理健康护理的个性化和精确性;(2) 扩大综合数据的使用范围,提高青少年心理健康服务的质量。要想对政策产生潜在的影响,就需要及时与政策制定者沟通,并了解政策背景。我们鼓励考虑使用该模式的研究人员将各种专业知识纳入其中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An illustrative guide to a Policy Lab model: contributing to evidence-informed policies for digital technology in youth mental health care.

ObjectiveThis article provides researchers with an illustrative guide for a workshop model that facilitates evidence-informed policy. The Policy Lab model supports collaboration between experts and policymakers; in the example provided, participants considered digital technologies with near-term potential to improve youth mental health care.MethodThe Policy Lab model uses structured workshop activities to explore a policy question, before narrowing the focus on potential answers. The barriers, enablers, and implementation mechanisms of potential policies are then considered. From this data policy proposal(s) are drafted, reviewed, and reported.ResultsThrough the Policy Lab activities, participants identified two priority technologies and generated data to inform the formulation of two policies. The policies were focused on (1) using artificial intelligence to improve the personalisation and precision of youth mental health care and (2) the expanded use of integrated data to improve youth mental health service quality.ConclusionsEvidence-informed policy is a collaborative process. To potentially influence policy requires timely engagement with policymakers and an understanding of the policy context. Researchers considering using the model are encouraged to include a range of expertise.

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