Search

A new discipline, implementation science, has emerged in recent years. This has resulted in confusion between what 'implementation science' is and how it differs from real-world scale-up of health interventions. While there is considerable overlap, in this perspective, we seek to highlight some of the differences between these two concepts in relation to their origin, drivers, research methods and implications for population impact and practice. We recognise that implementation science generates new information on optimal methods and strategies to facilitate the uptake of evidence-based practices. This new knowledge can be used as part of any scaling-up endeavour. However, real-world scale-up is influenced to a much greater extent by political and strategic needs and key actors and generally requires the support of governments or large agencies that can fund population-level scale-up. Furthermore, scale-up often occurs in the absence of any evidence of effectiveness. Therefore, while implementation science and scale-up both ultimately aim to facilitate the uptake of interventions to improve population health, their immediate intentions differ, and these distinctions are worth highlighting for policymakers and researchers.

BACKGROUND: School canteens are a recommended setting to influence adolescent nutrition due to their scope to improve student food choices. Online lunch ordering systems ("online canteens") are increasingly used and represent attractive infrastructure to implement choice architecture interventions that nudge users toward healthier food choices. A recent cluster randomized controlled trial demonstrated the short-term effectiveness (2-month follow-up) of a choice architecture intervention to increase the healthiness of foods purchased by high school students from online canteens. However, there is little evidence regarding the long-term effectiveness of choice architecture interventions targeting adolescent food purchases, particularly those delivered online. OBJECTIVE: This study aimed to determine the long-term effectiveness of a multi-strategy choice architecture intervention embedded within online canteen infrastructure in high schools at a 15-month follow-up. METHODS: A cluster randomized controlled trial was undertaken with 1331 students (from 9 high schools) in New South Wales, Australia. Schools were randomized to receive the automated choice architecture intervention (including menu labeling, positioning, feedback, and prompting strategies) or the control (standard online ordering). The foods purchased were classified according to the New South Wales Healthy Canteen strategy as either "everyday," "occasional," or "should not be sold." Primary outcomes were the average proportion of "everyday," "occasional," and "should not be sold" items purchased per student. Secondary outcomes were the mean energy, saturated fat, sugar, and sodium content of purchases. Outcomes were assessed using routine data collected by the online canteen. RESULTS: From baseline to 15-month follow-up, on average, students in the intervention group ordered significantly more "everyday" items (+11.5%, 95% CI 7.3% to 15.6%; P<.001), and significantly fewer "occasional" (-5.4%, 95% CI -9.4%

Scaling up effective interventions in public health is complex and comprehensive, and published accounts of the scale-up process are scarce. Key aspects of the scale-up experience need to be more comprehensively captured. This study describes the development of a guide for reflecting on and documenting the scale-up of public health interventions, to increase the depth of practice-based information of scaling up. Reviews of relevant scale-up frameworks along with expert input informed the development of the guide. We evaluated its acceptability with potential end-users and applied it to two real-world case studies. The Scale-up Reflection Guide (SRG) provides a structure and process for reflecting on and documenting key aspects of the scale-up process of public health interventions. The SRG is comprised of eight sections: context of completion; intervention delivery, history/background; intervention components; costs/funding strategies and partnership arrangements; the scale-up setting and delivery; scale-up process; and evidence of effectiveness and long-term outcomes. Utilization of the SRG may improve the consistency and reporting for the scale-up of public health interventions and facilitate knowledge sharing. The SRG can be used by a variety of stakeholders including researchers, policymakers or practitioners to more comprehensively reflect on and document scale-up experiences and inform future practice.

Fostering the growth, development, health, and wellbeing of children is a global priority. The early childhood period presents a critical window to influence lifelong trajectories, however urgent multisectoral action is needed to ensure that families are adequately supported to nurture their children's growth and development. With a shared vision to give every child the best start in life, thus helping them reach their full developmental potential, we have formed the International Healthy Eating Active Living Matters (HEALing Matters) Alliance. Together, we form a global network of academics and practitioners working across child health and development, and who are dedicated to improving health equity for children and their families. Our goal is to ensure that all families are free from structural inequality and oppression and are empowered to nurture their children's growth and development through healthy eating and physical activity within the context of responsive emotional support, safety and security, and opportunities for early learning. To date, there have been disparate approaches to promoting these objectives across the health, community service, and education sectors. The crucial importance of our collective work is to bring these priorities for early childhood together through multisectoral interventions, and in so doing tackle head on siloed approaches. In this Policy paper, we draw upon extensive research and call for collective action to promote equity and foster positive developmental trajectories for all children. We call for the delivery of evidence-based programs, policies, and services that are co-designed to meet the needs of all children and families and address structural and systemic inequalities. Moving beyond the “what” is needed to foster the best start to life for all children, we provide recommendations of “how” we can do this. Such collective impact will facilitate intergenerational progression that builds human capital in future generat

Objectives: This is a protocol for a Cochrane Review (intervention). The objectives are as follows:. The overall aim of the review is to determine the effectiveness of interventions to prevent obesity in 5 to 11-year-old children. The four objectives are:. to evaluate the effects of interventions that aim to modify dietary intake on changes in zBMI score, BMI and serious adverse events among children; to evaluate the effects of interventions that aim to modify physical activity, sedentary behaviour, sleep, play and/or structured exercise on changes in zBMI score, BMI and serious adverse events among children; to evaluate the combined effects of interventions that aim to modify both dietary intake and physical activity/movement behaviours on changes in zBMI score, BMI and serious adverse events among children; to compare the effects of interventions that aim to modify dietary interventions with those that aim to modify physical activity/movement behaviours on changes in zBMI score, BMI and serious adverse events among children. The secondary objectives are designed to explore if, how, and why the effectiveness of interventions on zBMI/BMI varies depending on the following PROGRESS factors. Place of residence Race/ethnicity/culture/language Occupation Gender/sex Religion Education Socioeconomic status Social capital. The PROGRESS acronym is intended to ensure that there is explicit consideration of health inequity, the unfair difference in disease burden, when conducting research and adapting research evidence to inform the design of new interventions (O'Neill 2014). The PROGRESS acronym describes factors that contribute to health inequity. Recent work on race and religion in the UK suggests that consideration of these factors is critical to the design of new interventions (Rai 2019). We will also collect, from RCTs, information about the costs of interventions so that policymakers can use the review as a source of information from which they may prepare cost-effectiv

Objectives: This is a protocol for a Cochrane Review (intervention). The objectives are as follows:. The overall aim of the review is to determine the effectiveness of interventions to prevent obesity in 12 to 18-year-old children and adolescents. The four objectives are:. to evaluate the effects of interventions that aim to modify dietary intake on changes in zBMI score, BMI and serious adverse events among children and adolescents; to evaluate the effects of interventions that aim to modify physical activity, sedentary behaviour, sleep, play and/or structured exercise on changes in zBMI score, BMI and serious adverse events among children and adolescents; to evaluate the combined effects of interventions that aim to modify both dietary intake and physical activity/movement behaviours on changes in zBMI score, BMI and serious adverse events among children and adolescents; to compare the effects of interventions that aim to modify dietary interventions with those that aim to modify physical activity/movement behaviours on changes in zBMI score, BMI and serious adverse events among children. The secondary objectives are designed to explore if, how, and why the effectiveness of interventions on zBMI/BMI varies depending on the following PROGRESS factors. Place of residence Race/ethnicity/culture/language Occupation Gender/sex Religion Education Socioeconomic status Social capital. The PROGRESS acronym is intended to ensure that there is explicit consideration of health inequity, the unfair difference in disease burden, when conducting research and adapting research evidence to inform the design of new interventions (O'Neill 2014). The PROGRESS acronym describes factors that contribute to health inequity. Recent work on race and religion in the UK suggested that consideration of these factors is critical to the design of new interventions (Rai 2019). We will also collect, from RCTs, information about the costs of interventions so that policymakers can use the review as

BACKGROUND: People with a mental health condition have a shorter life expectancy than the general population. This is largely attributable to higher rates of chronic disease and a higher prevalence of modifiable health risk behaviours including tobacco smoking, alcohol consumption, poor nutrition, and physical inactivity. Telephone support services offer a viable option to provide support to reduce these health risk behaviours at a population-level; however, whilst there is some research pertaining to Quitlines, there is limited other research investigating whether telephone services may offer effective support for people with a mental health condition. This protocol describes a randomised controlled trial that aims to evaluate the referral of people with a mental health condition to a population-level telephone coaching service to increase physical activity, healthy eating, or weight management, and increase attempts to do so. METHODS: A parallel-group randomised controlled trial will be conducted recruiting participants with a mental health condition through community mental health services and advertisement on social media. Participants will be randomly assigned to receive either a health information pack only (control) or a health information pack and a proactive referral to a free, government-funded telephone coaching service, the NSW Get Healthy Coaching and Information Service® (intervention), which offers up to 13 telephone coaching calls with a University Qualified Health Coach to assist with client-identified goals relating to physical activity, healthy eating, weight management, or alcohol reduction. Data will be collected via telephone surveys at baseline and 6 months post-recruitment. Primary outcomes are as follows: (1) minutes of moderate to vigorous physical activity per week, (2) serves of fruit consumed per day, (3) serves of vegetables consumed per day, and (4) a composite measure assessing attempts to change at least one health risk behaviour (an

BACKGROUND: Clinical guideline recommendations for addressing modifiable risk factors are not routinely implemented into preconception and antenatal care. This review assessed the effectiveness of implementation strategies in improving health professional provision of preconception and antenatal care addressing tobacco smoking, weight management and alcohol consumption. METHODS: A systematic review of randomised and non-randomised studies with a parallel comparison group was conducted. Eligible studies used implementation strategy/ies targeted at health professionals to improve at least one element of preconception and/or antenatal care (smoking: ask, advise, assess, assist, arrange; weight/alcohol: assess, advise, refer) compared to usual practice/control or alternative strategies. Eligible studies were identified via CENTRAL, MEDLINE, EMBASE, Maternity and Infant Care, CINAHL and other sources. Random-effects meta-analyses were conducted where appropriate, with other findings summarised using the direction of effect. The certainty of the pooled evidence was assessed using the GRADE approach. RESULTS: Fourteen studies were included in the review. Thirteen were in the antenatal period and 12 tested multiple implementation strategies (median: three). Meta-analyses of RCTs found that implementation strategies compared to usual practice/control probably increase asking (OR: 2.52; 95% CI: 1.13, 5.59; 3 studies; moderate-certainty evidence) and advising (OR: 4.32; 95% CI: 3.06, 6.11; 4 studies; moderate-certainty evidence) about smoking and assessing weight gain (OR: 57.56; 95% CI: 41.78, 79.29; 2 studies; moderate-certainty evidence), and may increase assessing (OR: 2.55; 95% CI: 0.24, 27.06; 2 studies; low-certainty evidence), assisting (OR: 6.34; 95% CI: 1.51, 26.63; 3 studies; low-certainty evidence) and arranging support (OR: 3.55; 95% CI: 0.50, 25.34; 2 studies; low-certainty evidence) for smoking. The true effect of implementation strategies in increasing advice a

People living with mental health conditions experience a significantly reduced life expectancy compared to people without, largely linked to health risk behaviours and associated chronic disease. Community managed organisations (CMOs) represent an important setting in which to address health risk behaviours among people with mental health conditions. However, little is known about how these behaviours (smoking, poor nutrition, alcohol consumption, inadequate physical activity, poor sleep: SNAPS) are being addressed in this setting. One-on-one, semi-structured telephone interviews were conducted with a sample of 12 senior staff, representing 12 CMOs in New South Wales, Australia to: (1) explore types of support provided by CMOs to address the SNAPS behaviours of consumers living with a mental health condition; and (2) assess perceived organisational and staff level barriers and facilitators to providing such support. Transcribed interviews were analysed using inductive thematic analysis. This study found there was a range of supports offered by CMOs, and these differed by health risk behaviour. Findings suggest CMOs are well-placed to embed SNAPS supports as a part of their service provision; however, available funding, consistency of supports, workplace policies and culture, collaboration with other available supports, staff training and education, all impacted capacity.

Background School food services, including cafeterias and canteens, are an ideal setting in which to improve child nutrition. Online canteen ordering systems are increasingly common and provide unique opportunities to deliver choice architecture strategies to nudge users to select healthier items. Despite evidence of short-term effectiveness, there is little evidence regarding the long-term effectiveness of choice architecture interventions, particularly those delivered online. Objective This study determined the long-term effectiveness of a multistrategy behavioral intervention (Click & Crunch) embedded within an existing online school lunch-ordering system on the energy, saturated fat, sugar, and sodium content of primary school students’ lunch orders 18 months after baseline. Methods This cluster randomized controlled trial (RCT) involved a cohort of 2207 students (aged 5-12 years) from 17 schools in New South Wales, Australia. Schools were randomized to receive either a multistrategy behavioral intervention or the control (usual online ordering only). The intervention strategies ran continuously for 14-16.5 months until the end of follow-up data collection. Trial primary outcomes (ie, mean total energy, saturated fat, sugar and sodium content of student online lunch orders) and secondary outcomes (ie, the proportion of online lunch order items that were categorized as everyday, occasional, and caution) were assessed over an 8-week period at baseline and 18-month follow-up. Results In all, 16 schools (94%) participated in the 18-month follow-up. Over time, from baseline to follow-up, relative to control orders, intervention orders had significantly lower energy (–74.1 kJ; 95% CI [–124.7, –23.4]; P=.006) and saturated fat (–0

Abstract Background Weight gain during pregnancy that is outside of recommended levels is associated with a range of adverse outcomes for the mother and child, including gestational diabetes, pre-eclampsia, preterm birth, and obesity. Internationally, 60–80% of pregnant women report gaining weight outside of recommended levels. While guideline recommendations and RCT evidence support the provision of antenatal care that supports healthy gestational weight gain, less than 10% of health professionals routinely weigh pregnant women; discuss weight gain, diet, and physical activity; and provide a referral for additional support. This study aims to determine the effectiveness of an implementation intervention in increasing the provision of recommended gestational weight gain care by maternity services. Methods A stepped-wedge controlled trial, with a staggered implementation intervention, will be conducted across maternity services in three health sectors in New South Wales, Australia. The implementation intervention will consist of evidence-based, locally-tailored strategies including guidelines and procedures, reminders and prompts, leadership support, champions, training, and monitoring and feedback. Primary outcome measures will be the proportion of women who report receiving (i) assessment of gestational weight gain; (ii) advice on gestational weight gain, dietary intake, and physical activity; and (iii) offer of referral to a telephone coaching service or local dietetics service. Measurement of outcomes will occur via telephone interviews with a random sample of women who attend antenatal appointments each week. Economic analyses will be undertaken to assess the cost, cost-consequence, cost-effectiveness, and budget impact of the implementation intervention. Receipt of all care elements, acceptance of referral, weight gain during pregn

Few online food ordering systems provide tailored dietary feedback to consumers, despite suggested benefits. The study aim was to determine the effect of providing tailored feedback on the healthiness of students’ lunch orders from a school canteen online ordering system. A cluster randomized controlled trial with ten government primary schools in New South Wales, Australia was conducted. Consenting schools that used an online canteen provider (‘Flexischools’) were randomized to either: a graph and prompt showing the proportion of ‘everyday’ foods selected or a standard online ordering system. Students with an online lunch order during baseline data collection were included (n = 2200 students; n = 7604 orders). Primary outcomes were the proportion of foods classified as ‘everyday’ or ‘caution’. Secondary outcomes included: mean energy, saturated fat, sugar, and sodium content. There was no difference over time between groups on the proportion of ‘everyday’ (OR 0.99; p = 0.88) or ‘caution’ items purchased (OR 1.17; p = 0.45). There was a significant difference between groups for average energy content (mean difference 51 kJ; p−0.02), with both groups decreasing. There was no difference in the saturated fat, sugar, or sodium content. Tailored feedback did not impact the proportion of ‘everyday’ or ‘caution’ foods or the nutritional quality of online canteen orders. Future research should explore whether additional strategies and specific feedback formats can promote healthy purchasing decisions.

Translating evidence into complex health systems is an ongoing challenge. Building the capacity of healthcare workers in behavioral and implementation science methods may facilitate the use of evidence-based implementation approaches, leading to sustainable and effective translation. The aim was to describe the development, contents and evaluation of a training workshop aimed at upskilling hospital-embedded staff to deliver an evidence-based implementation approach. The Hide and Seek Project (HaSP) is a cluster randomized controlled trial testing two implementation approaches for improving hereditary cancer referral at eight Australian hospitals. Healthcare workers were recruited as "Implementation Leads" and trained via a one-day workshop-TRAining in evideNce-baSed ImpLementATion for hEalth (TRANSLATE). The purpose of TRANSLATE was to upskill Implementation Leads in the delivery of HaSP, as well as implementation science methods more broadly. Implementation Leads participated in semi-structured evaluation interviews, which were analyzed using inductive thematic analysis. Nine Implementation Leads from various professional backgrounds completed the training. Four key themes were identified: (i) training day reactions, (ii) learning, (iii) implementation barriers and facilitators, and (iv) building health system capacity for implementation. Participants reported high levels of satisfaction, and anticipated that the knowledge and skills may be useful in the future. We describe a novel training program focused on the delivery of evidence-based implementation within health systems. Guided by insights from this study, methods to deliver the training on a larger scale and across different contexts are being explored. The prolonged impact of TRANSLATE will be further evaluated at trial completion. Trial registration: ANZCTR, ACTRN12618001072202. Registered on June 27, 2018.

There has been a proliferation of digital health interventions (DHIs) targeting dietary intake. Despite their potential, the effectiveness of DHIs are thought to be dependent, in part, on user engagement. However, the relationship between engagement and the effectiveness of dietary DHIs is not well understood. The aim of this review is to describe the association between DHI engagement and dietary intake. A systematic search of four electronic databases and grey literature for records published before December 2019 was conducted. Studies were eligible if they examined a quantitative association between objective measures of engagement with a DHI (subjective experience or usage) and measures of dietary intake in adults (aged ≥18 years). From 10,653 citations, seven studies were included. Five studies included usage measures of engagement and two examined subjective experiences. Narrative synthesis, using vote counting, found mixed evidence of an association with usage measures (5 of 12 associations indicated a positive relationship, 7 were inconclusive) and no evidence regarding an association with subjective experience (both studies were inconclusive). The findings provide early evidence supporting an association between measures of usage and dietary intake; however, this was inconsistent. Further research examining the association between DHI engagement and dietary intake is warranted.

Background: Institutions are a recommended setting for dietary interventions and nutrition policies as these provide an opportunity to improve health by creating healthy food environments. In Australia, state and territory governments encourage or mandate institutions in their jurisdiction to adopt nutrition policies. However, no work has analysed the policy design across settings and jurisdictions. This study aimed to compare the design and components of government-led institutional nutrition policies between Australian states and territories, determine gaps in existing policies, and assess the potential for developing stronger, more comprehensive policies. Methods: Government-led institutional nutrition policies, in schools, workplaces, health facilities and other public settings, were identified by searching health and education department websites for each Australian state and territory government. This was supplemented by data from other relevant stakeholder websites and from the Food Policy Index Australia website. A framework for monitoring and evaluating nutrition policies in publicly-funded institutions was used to extract data and a qualitative analysis of the design and content of institutional nutrition policies was performed. Comparative analyses between the jurisdictions and institution types were conducted, and policies were assessed for comprehensiveness. Results: Twenty-seven institutional nutrition policies were identified across eight states and territories in Australia. Most policies in health facilities and public schools were mandatory, though most workplace policies were voluntary. Twenty-four included nutrient criteria, and 22 included guidelines for catering/fundraising/advertising. While most included implementation guides or tools and additional supporting resources, less than half included tools/timelines for monitoring and evaluation. The policy design, components and nutrient criteria varied between jurisdictions and institution types

Little is known about the long-term impact of telephone-based interventions to improve child diet. This trial aimed to assess the long-term effectiveness (after 5 years) of a telephone-based parent intervention in increasing children’s fruit and vegetable consumption. Parents of 3–5 year olds were recruited from 30 Australian preschools to participate in a cluster randomised controlled trial. Intervention parents received four, weekly, 30-min support calls aimed at modifying the home food environment. Control parents received printed materials. Consumption was assessed using the Fruit and Vegetable subscale of the Children’s Dietary Questionnaire (F&V-CDQ) (children) and daily servings of fruit and vegetables (children and parents) via parent telephone interview. Of the 394 parents who completed baseline, 57% (99 intervention, 127 control) completed follow-up. After 5-years, higher intervention F&V-CDQ scores, bordering on significance, were found in complete-case (+1.1, p = 0.06) and sensitivity analyses (+1.1, p = 0.06). There was no difference in parent or child consumption of daily fruit servings. Complete-case analysis indicated significantly higher consumption of child vegetable servings (+0.5 servings; p = 0.02), which was not significant in sensitivity analysis (+0.5 servings; p = 0.10). This telephone-based parent intervention targeting the family food environment may yield promising improvements in child fruit and vegetable consumption over a 5-year period.

Objectives: This study tested the utility of the Intervention Scalability Assessment Tool (ISAT) with real-world interventions considered for scale-up in the Australian context. We explored user perceptions of the usefulness of the ISAT in making scalability decisions and conducted an analysis of completed ISATs. Type of program/service: The ISAT was designed to assist policy makers/practitioners to make structured and reflective assessments of the potential scalability of their interventions. Methods: Participants (n = 26) were invited via email and needed to be considering a population intervention for scale-up, to be able to pilot the ISAT, and to be willing to complete an online survey to provide feedback. Survey data and completed ISATs were collated and common responses were identified, with exceptions noted. Results: Thirteen participants accepted the invitation to pilot the ISAT; six completed ISATs and returned surveys and five of each were included in the final analysis. The process by which participants completed the ISAT varied, some involving up to six stakeholders in the process and others only one. The time taken to complete the ISAT ranged from 2 hours to 3 days. Interventions considered for scalability were public health interventions and all but one involved a potential statewide scale-up. In terms of outcome, scalability scores across interventions varied, however, all but one intervention was recommended for scale-up. The remaining intervention was deemed to be promising but further information was required before assessing scalability. Lessons learnt: The ISAT was perceived as a useful tool to assess the scalability of real-world health programs, with participants noting only minor limitations and challenges. The ISAT can be applied to a variety of population health interventions and identifies strengths and weaknesses in the evidence base for scale-up. This study revealed that decisions to scale up are often made despite potential weaknesses hi

Background Promising health interventions tested in pilot studies will only achieve population-wide impact if they are implemented at scale across communities and health systems. Scaling up effective health interventions is vital as not doing so denies the community the most effective services and programmes. However, there remains a paucity of practical tools to assess the suitability of health interventions for scale-up. The Intervention Scalability Assessment Tool (ISAT) was developed to support policy-makers and practitioners to make systematic assessments of the suitability of health interventions for scale-up. Methods The ISAT was developed over three stages; the first stage involved a literature review to identify similar tools and frameworks that could be used to guide scalability assessments, and expert input to develop draft ISAT content. In the second stage, the draft ISAT tool was tested with end users. The third stage involved revising and re-testing the ISAT with end users to further refine the language and structure of the final ISAT. Results A variety of information and sources of evidence should be used to complete the ISAT. The ISAT consists of three parts. Part A: ‘setting the scene’ requires consideration of the context in which the intervention is being considered for scale-up and consists of five domains, as follows: (1) the problem; (2) the intervention; (3) strategic/political context; (4) evidence of effectiveness; and (5) intervention costs and benefits. Part B asks users to assess the potential implementation and scale-up requirements within five domains, namely (1) fidelity and adaptation; (2) reach and acceptability; (3) delivery setting and workforce; (4) implementation infrastructure; and (5) sustainability. Part C generates a graphical representation of the strengths and weaknesses of the readiness of the proposed intervention for scale-up. Users are also prompted for a recommendation as to whether the intervention (1) is recommended

Background While known efficacious preventive health interventions exist, the current capacity to scale up these interventions is limited. In recent years, much attention has focussed on developing frameworks and methods for scale-up yet, in practice, the pathway for scale-up is seldom linear and may be highly dependent on contextual circumstances. Few studies have examined the process of scaling up from decision to implementation nor examined the sustainability of scaled-up interventions. This study explores decision-makers’ perceptions from real-world scaled-up case studies to examine how scale-up decisions were made and describe enablers of successful scale-up and sustainability. Methods This qualitative study included 29 interviews conducted with purposively sampled key Australian policy-makers, practitioners and researchers experienced in scale-up. Semi-structured interview questions obtained information regarding case studies of scaled-up interventions. The Framework Analysis method was used as the primary method of analysis of the interview data to inductively generate common and divergent themes within qualitative data across cases. Results A total of 31 case studies of public health interventions were described by interview respondents based on their experiences. According to the interviewees’ perceptions, decisions to scale up commonly occurred either opportunistically, when funding became available, or when a deliberate decision was made and funding allocated. The latter scenario was more common when the intervention aligned with specific political or strategic goals. Decisions to scale up were driven by a variety of key actors such as politicians, senior policy-makers and practitioners in the health system. Drivers of a successful scale-up process included good governance, clear leadership, and adequate resourcing and expertise. Establishing accountability structures and appropriate engagement mechanisms to encourage the uptake of interventions were also

Clinical practice guidelines direct mental health services to provide preventive care to address client chronic disease risk behaviours, however, this care is not routinely provided. The aim of this systematic review was to synthesise evidence regarding the effectiveness of interventions to increase provision of preventive care by mental health services; by care element (ask, assess, advice, assist, arrange) and risk behaviour (tobacco smoking, poor nutrition, harmful alcohol consumption, physical inactivity). Electronic bibliographic databases, Google Scholar, relevant journals, and included study reference lists were searched. Eligible studies were of any design with a comparison group that reported the effectiveness of an intervention to increase the provision of at least one element of preventive care for at least one risk behaviour in a mental health setting. Twenty studies were included, most commonly examining smoking (n = 20) and 'ask' (n = 12). Meta-analysis found interventions involving task shifting were effective in increasing smoking 'advice' (n = 2 RCTs; p = 0.009) and physical activity 'advice' (n = 2 RCTs; p = 0.002). Overall, meta-analysis and narrative synthesis indicated that effective intervention strategies (categorised according to the Effective Practice and Organisation of Care taxonomy) were: task shifting, educational meetings, health information systems, local consensus processes, authority and accountability, and reminders. The most consistent findings across studies were with regard to preventive care for smoking, while conflicting or limited evidence was found regarding other risk behaviours. While further rigorous research examining key risk behaviours is recommended, the findings may inform the selection of strategies for future interventions and service delivery initiatives.

BACKGROUND: Despite existing best practice care recommendations for addressing tobacco smoking, alcohol consumption and weight management in preconception and antenatal care, such recommendations are often not implemented into routine practice. Effective strategies that target known barriers to implementation are key to reducing this evidence to practice gap. The aim of this review is to synthesise the evidence on the effectiveness of implementation strategies in improving the provision of preconception and antenatal care for these modifiable risk factors. METHODS: Randomised and non-randomised study designs will be eligible for inclusion if they have a parallel control group. We will include studies that either compare an implementation strategy to usual practice or compare two or more strategies. Participants may include any health service providing preconception or antenatal care to women and/or the health professionals working within such a service. The primary outcome will be any measure of the effectiveness of implementation strategies to improve preconception and/or antenatal care for tobacco smoking, alcohol consumption and/or weight management (including care to improve nutrition and/or physical activity). Secondary outcomes will include the effect of the implementation strategy on women's modifiable risk factors, estimates of absolute costs or cost-effectiveness and any reported unintentional consequences. Eligible studies will be identified via searching Cochrane Central Register of Controlled Trials, MEDLINE, EMBASE, Maternity and Infant Care, CINAHL, ProQuest Dissertations and Theses and other sources (e.g. contacting experts in the field). Study selection, data extraction and risk of bias will be assessed independently by two review authors and differences resolved by a third reviewer. If data permits, we will conduct fixed-effects or random-effects meta-analysis where appropriate. If studies do not report the same outcome or there is significant heter

This is a protocol for a Cochrane Review (Intervention). The objectives are as follows: The primary objective of this review is to determine the effectiveness of smoking reduction and cessation interventions (alone, or in combination with other interventions), delivered primarily in an outpatient or community‐based setting among individuals with mental disorders, on rates of abstinence at the longest follow‐up (minimum six months), mental health symptoms and adverse events. Secondary objectives are to examine the impact of such interventions on rates of abstinence at the end of the intervention, change in daily cigarette consumption, and quality‐of‐life or other function scores. We will explore (via subgroup analyses) potential differential effects on the basis of intervention type, control group type, recruitment setting (inpatient versus outpatient), mental disorder type, and motivation to quit at study intake. We may come across studies testing interventions which aim to increase the uptake of smoking interventions in people with a mental disorder. This may comprise interventions that either are incorporated into the system of delivering care, aimed at health professionals (e.g. within a community mental health facility), as well as interventions aimed directly at people with a mental disorder to increase uptake. In this case we aim to examine whether these interventions increase the uptake of the smoking cessation treatment among people with a mental disorder, as well as whether they ultimately result in increased quit rates.