Lee Daniel Cw, O'Brien Kate M, McCrabb Sam, Wolfenden Luke, Tzelepis Flora, Barnes Courtney, Yoong Serene, Bartlem Kate M, Hodder Rebecca K
School of Medicine and Public Health, The University of Newcastle, Callaghan, NSW, Australia.
Population Health Research Program, Hunter Medical Research Institute, New Lambton Heights, NSW, Australia.
Cochrane Database Syst Rev. 2024 Dec 12;12(12):CD011677. doi: 10.1002/14651858.CD011677.pub4.
A range of school-based interventions are effective in improving student diet and physical activity (e.g. school food policy interventions and classroom physical activity interventions), and reducing obesity, tobacco use and/or alcohol use (e.g. tobacco control programmes and alcohol education programmes). However, schools are frequently unsuccessful in implementing such evidence-based interventions.
The primary review objective is to evaluate the effectiveness of strategies aiming to improve school implementation of interventions to address students' (aged 5 to 18 years) diet, physical activity, obesity, tobacco use and/or alcohol use. The secondary objectives are to: 1. determine whether the effects are different based on the characteristics of the intervention including school type and the health behaviour or risk factor targeted by the intervention; 2. describe any unintended consequences and adverse effects of strategies on schools, school staff or students; and 3. describe the cost or cost-effectiveness of strategies.
We searched CENTRAL, MEDLINE (Ovid), Embase (Ovid), five additional databases, the World Health Organization (WHO) International Clinical Trials Registry Platform (ICTRP), and the US National Institutes of Health registry (clinicaltrials.gov). The latest search was between 1 May 2021 and 30 June 2023 to identify any relevant trials published since the last published review.
We defined 'implementation' as the use of strategies to adopt and integrate evidence-based health interventions and to change practice patterns within specific settings. We included any randomised controlled trial (RCT) or cluster-RCT conducted on any scale, in a school setting, with a parallel control group that compared a strategy to improve the implementation of policies or practices to address diet, physical activity, obesity, tobacco use and/or alcohol use by students (aged 5 to 18 years) to no active implementation strategy (i.e. no intervention, inclusive of usual practice, minimal support) or a different implementation strategy.
We used standard Cochrane methods. Given the large number of outcomes reported, we selected and included the effects of a single outcome measure for each trial for the primary outcome using a decision hierarchy (i.e. continuous over dichotomous, most valid, total score over subscore). Where possible, we calculated standardised mean differences (SMDs) to account for variable outcome measures with 95% confidence intervals (CI). We conducted meta-analyses using a random-effects model. Where we could not combine data in meta-analysis, we followed recommended Cochrane methods and reported results in accordance with 'Synthesis without meta-analysis' (SWiM) guidelines. We conducted assessments of risk of bias and evaluated the certainty of evidence (GRADE approach) using Cochrane procedures.
We included an additional 14 trials in this update, bringing the total number of included trials in the review to 39 trials with 83 trial arms and 6489 participants. Of these, the majority were conducted in Australia and the USA (n = 15 each). Nine were RCTs and 30 were cluster-RCTs. Twelve trials tested strategies to implement healthy eating practices; 17 physical activity, two tobacco, one alcohol, and seven a combination of risk factors. All trials used multiple implementation strategies, the most common being educational materials, educational meetings, and education outreach visits, or academic detailing. Of the 39 included trials, we judged 26 as having high risks of bias, 11 as having some concerns, and two as having low risk of bias across all domains. Pooled analyses found, relative to a control (no active implementation strategy), the use of implementation strategies probably results in a large increase in the implementation of interventions in schools (SMD 0.95, 95% CI 0.71, 1.19; I = 78%; 30 trials, 4912 participants; moderate-certainty evidence). This is equivalent to a 0.76 increase in the implementation of seven physical activity intervention components when the SMD is re-expressed using an implementation measure from a selected included trial. Subgroup analyses by school type and targeted health behaviour or risk factor did not identify any differential effects, and only one study was included that was implemented at scale. Compared to a control (no active implementation strategy), no unintended consequences or adverse effects of interventions were identified in the 11 trials that reported assessing them (1595 participants; moderate-certainty evidence). Nine trials compared costs between groups with and without an implementation strategy and the results of these comparisons were mixed (2136 participants; low-certainty evidence). A lack of consistent terminology describing implementation strategies was an important limitation of the review.
AUTHORS' CONCLUSIONS: We found the use of implementation strategies probably results in large increases in implementation of interventions targeting healthy eating, physical activity, tobacco and/or alcohol use. While the effectiveness of individual implementation strategies could not be determined, such examination will likely be possible in future updates as data from new trials can be synthesised. Such research will further guide efforts to facilitate the translation of evidence into practice in this setting. The review will be maintained as a living systematic review.
一系列基于学校的干预措施在改善学生饮食和身体活动方面是有效的(例如学校食品政策干预和课堂身体活动干预),并且在减少肥胖、烟草使用和/或酒精使用方面也是有效的(例如烟草控制计划和酒精教育计划)。然而,学校在实施此类循证干预措施时常常不成功。
主要综述目的是评估旨在改善学校实施干预措施以解决学生(5至18岁)饮食、身体活动、肥胖、烟草使用和/或酒精使用问题的策略的有效性。次要目的是:1. 根据干预措施的特征(包括学校类型以及干预措施所针对的健康行为或风险因素)确定效果是否不同;2. 描述策略对学校、学校工作人员或学生的任何意外后果和不良影响;3. 描述策略的成本或成本效益。
我们检索了Cochrane中心对照试验注册库(CENTRAL)、MEDLINE(Ovid)、Embase(Ovid)、另外五个数据库、世界卫生组织(WHO)国际临床试验注册平台(ICTRP)以及美国国立卫生研究院注册库(clinicaltrials.gov)。最近一次检索时间为2021年5月1日至2023年6月30日,以识别自上次发表综述以来发表的任何相关试验。
我们将“实施”定义为使用策略来采用和整合循证健康干预措施,并在特定环境中改变实践模式。我们纳入了在学校环境中进行的任何规模的随机对照试验(RCT)或整群随机对照试验(cluster-RCT),试验设有平行对照组,将旨在改善针对学生(5至18岁)饮食、身体活动、肥胖、烟草使用和/或酒精使用的政策或实践实施情况的策略与无积极实施策略(即无干预,包括常规做法、最少支持)或不同的实施策略进行比较。
我们采用标准的Cochrane方法。鉴于报告的结果数量众多,我们使用决策层次结构(即连续变量优于二分变量、最有效、总分优于子分数)为每个试验的主要结局选择并纳入单一结局指标的效果。在可能的情况下,我们计算标准化均数差值(SMD)以处理不同的结局指标,并给出95%置信区间(CI)。我们使用随机效应模型进行Meta分析。在无法进行Meta分析合并数据的情况下,我们遵循推荐的Cochrane方法,并按照“非Meta分析的综合”(SWiM)指南报告结果。我们使用Cochrane程序进行偏倚风险评估并评估证据的确定性(GRADE方法)。
本次更新纳入了另外14项试验,使综述中纳入试验的总数达到39项试验,83个试验组和6489名参与者。其中,大多数试验在美国和澳大利亚进行(各15项)。9项为RCT,30项为整群随机对照试验。12项试验测试了实施健康饮食实践的策略;17项测试了身体活动策略,2项测试了烟草策略,1项测试了酒精策略,7项测试了多种风险因素的组合策略。所有试验都使用了多种实施策略,最常见的是教育材料、教育会议、教育外展访问或学术指导。在纳入的39项试验中,我们判断26项在所有领域存在高偏倚风险,11项存在一些担忧,2项存在低偏倚风险。汇总分析发现,相对于对照组(无积极实施策略),使用实施策略可能会使学校干预措施实施情况大幅增加(SMD 0.95,95%CI 0.71,1.19;I² = 78%;30项试验,4912名参与者;中等确定性证据)。当使用所选纳入试验的实施测量方法重新表达SMD时,这相当于七个身体活动干预组成部分的实施情况增加0.76。按学校类型和目标健康行为或风险因素进行的亚组分析未发现任何差异效应,且仅纳入了一项大规模实施的研究。与对照组(无积极实施策略)相比,在报告评估干预措施意外后果和不良影响的11项试验中未发现此类情况(1595名参与者;中等确定性证据)。9项试验比较了有实施策略组和无实施策略组之间的成本,这些比较结果不一(2136名参与者;低确定性证据)。缺乏描述实施策略的一致术语是本综述的一个重要局限性。
我们发现使用实施策略可能会使针对健康饮食、身体活动、烟草和/或酒精使用的干预措施实施情况大幅增加。虽然无法确定个体实施策略的有效性,但随着新试验数据的综合,未来更新中可能会进行此类研究。此类研究将进一步指导在该环境下促进将证据转化为实践的工作。本综述将作为动态系统综述持续更新。