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Patients exposed to a surgical safety checklist experience better postoperative outcomes, but this could simply reflect wider quality of care in hospitals where checklist use is routine.

This systematic review and network meta-analysis synthesized evidence on the effects of third-wave cognitive behaviour therapies (3wCBT) on body weight, and psychological and physical health outcomes in adults with overweight or obesity.Studies that included a 3wCBT for the purposes of weight management and measured weight or body mass index (BMI) pre-intervention and ≥ 3 months postbaseline were identified through database searches (MEDLINE, CINAHL, Embase, Cochrane database [CENTRAL], PsycINFO, AMED, ASSIA, and Web of Science).Thirty-seven studies were eligible; 21 were randomized controlled trials (RCT) and included in the network meta-analyses. Risk of bias was assessed using RoB2, and evidence quality was assessed using GRADE. Random-effects pairwise meta-analysis found moderate-to high-quality evidence suggesting that 3wCBT had greater weight loss than standard behavioural treatment (SBT) at post-intervention (standardized mean difference [SMD]: −0.09, 95% confidence interval [CI]: −0.22, 0.04; N = 19; I 2 = 32%), 12 months (SMD: −0.17, 95% CI: −0.36, 0.02; N = 5; I 2 = 33%), and 24 months (SMD: −0.21, 95% CI: −0.42, 0.00; N = 2; I 2 = 0%). Network meta-analysis compared the relative effectiveness of different types of 3wCBT that were not tested in head-to-head trials up to 18 months. Acceptance and commitment therapy (ACT)-based interventions had the most consistent evidence of effectiveness. Only ACT had RCT evidence of effectiveness beyond 18 months. Meta-regression did not identify any specific intervention characteristics (dose, duration, delivery) that were associated with greater weight loss. Evidence supports the use of 3wCBT for weight management, specifically ACT. Larger trials with long-term follow-up are needed to identify who these interventions work for, their most effective components, and the most cost-effective method of delivery. network meta-analysis, obesity, third-wave behavioural therapy, weight loss 1 | BACKGROUND Although behavioural interventions are effective at helping people to lose weight, many people struggle to sustain effective weight management behaviours over extended periods due to a combination of biological, psychological, social, and environmental factors that drive weight gain. 1,2 Standard behavioural programmes can be effective in the short term, but less so in the longer term. 3-6 These usually combine diet and physical activity advice with core behavioural change techniques including goal setting, self-monitoring, problem solving, and planned social support. 7 It has been proposed that third-wave cognitive behaviour therapies (3wCBT), including acceptance and commitment therapy (ACT), dialectical behaviour therapy (DBT), mindfulness-based cognitive behavioural ther- Nazrul Islamhttps://orcid.org/0000-0003-3982-4325

Objective: Online food delivery (OFD) platforms offer consumers a convenient and fast delivery service of foods and drinks sourced from foodservice partners (e.g. restaurants, quick service restaurants). There is a need to assess the impact of this emergent segment of the foodservice sector on diet and diet-related health. The aim of this narrative review was to describe the OFD sector in Australia, its use and identify potential ways to include OFD platforms in existing public health nutrition policy. Design: A search was conducted in peer-reviewed and grey literature. Sources were analysed and synthesised to report the characteristics of OFD platforms, delivery process, users and potential drivers of usage. The aim and scope of public health nutrition policies were analysed to identify ways of including OFD platforms. Setting: Australia. Participants: General population. Results: There are three main operators with 9000–16 000 foodservice partners based predominantly in the main cities of Australia. OFD revenue has grown by 72 % in the last 5 years and is predicted to increase driven by usage by working adults with high disposable income who demand convenience. Current policies and initiatives aimed at manufacturers, retailers and foodservice outlets do not specifically regulate OFD platforms, although there is scope for these to be extended to such platforms. Conclusions: OFD platforms are disruptors of the foodservice sector. Innovative and consistent health policy options that target the unique challenges and opportunities posed by OFD platforms are required to limit the potentially negative impact of OFD platforms on diet and diet-related health.