Improving child and adolescent mental health requires the careful development and rigorous testing of interventions and delivery methods. This includes universal school-based mindfulness training, evaluated in the My Resilience in Adolescence (MYRIAD) trial reported in this special edition. While discovering effective interventions through randomised controlled trials is our ultimate aim, null or negative results can and should play an important role in progressing our understanding of what works. Unfortunately, alongside publication bias there can be a tendency to ignore, spin or unfairly undermine disappointing findings. This creates research waste that can increase risk and reduce benefits for future service users. We advocate several practices to help optimise learning from all trials, whatever the results: stronger intervention design reduces the likelihood of foreseeable null or negative results; an evidence-informed conceptual map of the subject area assists with understanding how results contribute to the knowledge base; mixed methods trial designs aid explanation of outcome results; various open science practices support the dispassionate analysis of data and transparent reporting of trial findings; and preparation for null or negative results helps to temper stakeholder expectations and increase understanding of why we conduct trials in the first place. To embed these practices, research funders must be willing to pay for pilot studies and ‘thicker’ trials, and publishers should judge trials according to their conduct and not their outcome. MYRIAD is an exemplar of how to design, conduct and report a trial to optimise learning, with important implications for practice.

中文翻译：

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我们如何从儿童和青少年心理健康试验中优化学习？

改善儿童和青少年心理健康需要仔细制定和严格测试干预措施和实施方法。这包括基于学校的普遍正念训练，并在本特别版中报道的“我的青春期复原力”（MYRIAD）试验中进行了评估。虽然通过随机对照试验发现有效的干预措施是我们的最终目标，但无效或阴性结果可以而且应该在增进我们对有效措施的理解方面发挥重要作用。不幸的是，除了发表偏见之外，还可能存在忽视、歪曲或不公平地破坏令人失望的发现的倾向。这会造成研究浪费，从而增加风险并减少未来服务用户的收益。我们提倡采取多种实践来帮助优化所有试验的学习，无论结果如何：更强的干预设计可以减少可预见的无效或阴性结果的可能性；主题领域的基于证据的概念图有助于理解结果如何对知识库做出贡献；混合方法试验设计有助于解释结果；各种开放科学实践支持冷静的数据分析和透明的试验结果报告；为无效或负面结果做好准备有助于降低利益相关者的期望，并加深对我们首先进行试验的原因的理解。为了嵌入这些实践，研究资助者必须愿意为试点研究和“更深入”的试验付费，出版商应该根据试验的行为而不是结果来判断试验。MYRIAD 是如何设计、进行和报告优化学习试验的典范，对实践具有重要意义。