Testing, diagnosis, and treatment following the implementation of a program to provide dried blood spot testing for HIV and hepatitis C infections: the NSW DBS Pilot.

BACKGROUND: Dried blood spot (DBS) testing provides an alternative to phlebotomy and addresses barriers to accessing healthcare experienced by some key populations. Large-scale evaluations of DBS testing programs are needed to understand their feasibility. This study evaluated the implementation of a state-wide DBS HIV and hepatitis C virus (HCV) testing pilot. METHODS: The New South Wales (NSW) DBS Pilot is an interventional cohort study of people testing for HIV antibody and/or HCV RNA from DBS samples in NSW, Australia. Participants at risk of HIV/HCV participated in testing via: 1) self-registration online with a DBS collection kit delivered and returned by conventional postal service; or 2) assisted DBS sample collection at 36 community health sites (including drug treatment and harm-minimisation services) and prisons. Participants received results by text (HIV antibody/ HCV RNA not detected) or a healthcare provider (HIV antibody/ HCV RNA detected). The RE-AIM framework was used to evaluate reach, effectiveness, adoption, and implementation. RESULTS: Reach: Between November 2016 and December 2020, 7,392 individuals were tested for HIV and/or HCV (21% self-registration, 34% assisted in community, and 45% assisted in prison). EFFECTIVENESS: Of 6,922 people tested for HIV (19% men who have sex with men, 13% living outside major cities, 21% born outside Australia), 51% (3,521/6,922) had no HIV test in the past two years, 0.1% (10/6,922) were newly diagnosed with HIV, and 80% (8/10) initiated HIV treatment within six months. Of 5,960 people tested for HCV (24% women, 35% Aboriginal and/or Torres Strait Islander, 55% recently injected drugs), 15% had detectable HCV RNA (878/5,960), and 45% (393/878) initiated treatment within six months. Adoption: By the end of 2020, DBS via assisted registration was available at 36 community sites and 21 prisons. IMPLEMENTATION: 90% of DBS cards arriving at the laboratory had the three full spots required for testing; the proportion was higher in assisted (94%) compared to online (76%) registration. CONCLUSIONS: This study demonstrated the feasibility of DBS testing for HIV and HCV in key populations including Aboriginal and Torres Strait Islander peoples, men who have sex with men, people who inject drugs, and demonstrated the utility of DBS in the prison setting.

Antenatal care addressing gestational weight gain (GWG): a cross sectional study of pregnant women's reported receipt and acceptability of recommended GWG care and associated characteristics.

BACKGROUND: The Australian Clinical Practice Guidelines for Pregnancy Care recommend that during the first and subsequent antenatal visits all pregnant women are weighed; advised of recommended gestational weight gain (GWG), dietary intake and physical activity; and offered referrals for additional support if needed. The extent to which these recommendations are implemented and women's acceptability of recommended care is unknown. This study examines women's reported receipt and acceptability of guideline care for GWG, and characteristics associated with receipt of such care and its acceptability. METHODS: From September 2018 to February 2019 a telephone survey was undertaken with women who had recently had a baby and received antenatal care from five public maternity services within a health district in Australia. Women self-reported their demographic characteristics, and receipt and acceptability of recommended GWG care. Receipt and acceptability of such care, and their association with the characteristics of women and the maternity service they attended, were examined using descriptive statistics and multivariable logistic regression analyses. RESULTS: Of 514 women, 13.1% (95%CI:10.3-16.5) reported that they received an assessment of weight at both their first and a subsequent antenatal visit, and less than one third (30.0%; 95%CI:26.0-33.9) received advice on their recommended GWG range, dietary intake and physical activity. Just 6.6% (95%CI:4.8-9.1) of women reported receiving all assessment and advice components of recommended antenatal care, and 9.9% (95%CI:7.6-12.8) of women reported being referred for extra support. Women who were younger (OR = 1.13;95%CI:1.05-1.21), identifying as Aboriginal and Torres Strait Islander (OR = 24.54;95%CI:4.98-120.94), had a higher pre-pregnancy BMI (OR = 1.13;95%CI:1.05-1.21), were experiencing their first pregnancy (OR = 3.36;95%CI:1.27-8.86), and lived in a least disadvantaged area (compared to mid-disadvantaged area (OR = 18.5;95%CI:2.6-130.5) and most disadvantaged area (OR = 13.1;95%CI:2.09-82.4)) were more likely to receive recommended assessment and advice. Most Aboriginal (92%) and non-Aboriginal (93%) women agreed that recommended GWG care is acceptable. CONCLUSION: Most women perceive antenatal care for GWG as recommended by the Clinical Practice Guidelines as acceptable, but did not receive it. When provided, such care is not delivered consistently to all women regardless of their characteristics or those of the maternity service they attend. There is a need for service-wide practice change to increase routine GWG care in pregnancy for all women.

Clustering of smoking, alcohol consumption and weight gain in pregnancy: prevalence, care preferences and associated factors.

BACKGROUND: Smoking, alcohol consumption and weight gain outside recommendations during pregnancy are preventable health risk factors associated with poorer health outcomes for mother and infant. Clustering of these risk factors further increases the risk and severity of outcomes. Limited research has explored the characteristics of pregnant women that are associated with clustering of these risks and women's preferences for receiving support. This paper aimed to determine: (i) the prevalence of clustered preventable risk factors; (ii) associations between maternal characteristics and presence of clustered risk factors; and (iii) women's preferences for receiving care for clustered risk factors. METHODS: A cross-sectional survey was undertaken with women who had recently given birth in public maternity services in New South Wales, Australia. Descriptive statistics were used to assess prevalence of clustered risk factors and care preferences. Associations between the presence of clustered risk factors and maternal characteristics were assessed using multiple regression analyses. RESULTS: Of the 514 women who completed the survey, 52% reported one preventable health risk factor and 10% and 2% reported two or three. For women with two or more risk factors, the most common combination was alcohol consumption and gestational weight gain outside of recommendations (50%, n = 30). One characteristic had an association with the presence of clustered risk factors. Most women (77%, n = 46) with clustered risk factors indicated they wanted support for these health risks. Preferences for support addressing some or all risk factors, and whether the support was sequential or simultaneous, were not associated with particular risk factor combinations. CONCLUSIONS: Around one in eight women reported clustered preventable risk factors during pregnancy, most of whom would like support to address these risks. There was only one association between maternal characteristics and clustered risk factors. This suggests a need for antenatal care that is women-centred and caters for a diverse profile of clustered risks and varied preferences for care.

Describing the evidence-base for research engagement by health care providers and health care organisations: a scoping review.

BACKGROUND: Having a research-engaged health and medical workforce is associated with improvements in clinical outcomes for patients. As such, there has been significant government investment internationally to support health care organisations and services to increase staff engagement with research. OBJECTIVES: This scoping review sought to provide an overview of the literature describing strategies employed to increase research engagement by health care providers and organisations, and to undertake a qualitative analysis to generate a list of research engagement strategies. METHODS: A scoping review using systematic search strategies was undertaken to locate peer-review publications and grey literature related to research engagement by health care providers and organisations. Research engagement was defined as a 'deliberate set of intellectual and practical activities undertaken by health care staff and organisations to conduct research'. A database search of electronic records was performed with no limit on publication date. Publications were included regardless of study type (excluding systematic reviews) and categorised as either databased (presenting data or new analysis of existing data) and non-databased (no new data or analyses). Databased publications were further classified according to study type, study design and setting. A qualitative synthesis using a Framework Approach was undertaken with all studies that described a strategy to improve research engagement. RESULTS: A total of 152 publications were included in this study with 54% categorised as non-databased. Of the databased articles, the majority (72%) were descriptive studies describing prevalence of correlates of research engagement, 17 (25%) described intervention studies where only two were controlled studies. The following research engagement strategies were identified: i) dual skilled team/staff, ii) resources or physical infrastructure, iii) incentives, iv) leadership support of research, v) education/training, vi) networks, vii) forming partnerships or collaborations and viii) overall leadership structure of entity. CONCLUSIONS: The literature on research engagement is primarily opinion-based and descriptive in nature. To provide the evidence needed to inform strategies, this needs to progress beyond descriptive to more rigorous well-designed intervention research.

Practice change intervention to improve antenatal care addressing alcohol consumption during pregnancy: a randomised stepped-wedge controlled trial.

BACKGROUND: Clinical guideline recommendations for addressing alcohol consumption during pregnancy are sub-optimally implemented and limited evidence exists to inform practice improvements. The aim of this study was to estimate the effectiveness of a practice change intervention in improving the provision of antenatal care addressing alcohol consumption during pregnancy in public maternity services. METHODS: A randomised stepped-wedge controlled trial was undertaken with all public maternity services in three sectors (one urban, two regional/rural) of a single local health district in New South Wales, Australia. All antenatal care providers were subject to a seven-month multi-strategy intervention to support the introduction of a recommended model of care. For 35 months (July 2017 - May 2020) outcome data were collected from randomly selected women post an initial, 27-28 weeks and 35-36 weeks gestation antenatal visit. Logistic regression models assessed intervention effectiveness. RESULTS: Five thousand six hundred ninety-four interviews/online questionnaires were completed by pregnant women. The intervention was effective in increasing women's reported receipt of: assessment of alcohol consumption (OR: 2.63; 95% CI: 2.26-3.05; p < 0.001), advice not to consume alcohol during pregnancy and of potential risks (OR: 2.07; 95% CI: 1.78-2.41; p < 0.001), complete care relevant to alcohol risk level (advice and referral) (OR: 2.10; 95% CI: 1.80-2.44; p < 0.001) and all guideline elements relevant to alcohol risk level (assessment, advice and referral) (OR: 2.32; 95% CI: 1.94-2.76; p < 0.001). Greater intervention effects were found at the 27-28 and 35-36 weeks gestation visits compared with the initial antenatal visit. No differences by sector were found. Almost all women (98.8%) reported that the model of care was acceptable. CONCLUSIONS: The practice change intervention improved the provision of antenatal care addressing alcohol consumption during pregnancy in public maternity services. Future research could explore the characteristics of pregnant women and maternity services associated with intervention effectiveness as well as the sustainment of care practices over time to inform the need for, and development of, further tailored practice change support. TRIAL REGISTRATION: Australian and New Zealand Clinical Trials Registry (Registration number: ACTRN12617000882325; Registration date: 16/06/2017) https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=372985&isReview=true.

An mHealth Intervention to Reduce the Packing of Discretionary Foods in Children's Lunch Boxes in Early Childhood Education and Care Services: Cluster Randomized Controlled Trial.

BACKGROUND: Interventions in early childhood education and care (ECEC) services have the potential to improve children's diet at the population level. OBJECTIVE: This study aims to test the efficacy of a mobile health intervention in ECEC services to reduce parent packing of foods high in saturated fat, sugar, and sodium (discretionary foods) in children's (aged 3-6 years) lunch boxes. METHODS: A cluster randomized controlled trial was undertaken with 355 parent and child dyads recruited by phone and in person from 17 ECEC services (8 [47%] intervention and 9 [53%] control services). Parents in the intervention group received a 10-week fully automated program targeting barriers to packing healthy lunch boxes delivered via an existing service communication app. The program included weekly push notifications, within-app messages, and links to further resources, including websites and videos. The control group did not receive any intervention. The primary outcomes were kilojoules from discretionary foods and associated nutrients (saturated fat, free sugars, and sodium) packed in children's lunch boxes. Secondary outcomes included consumption of kilojoules from discretionary foods and related nutrients and the packing and consumption of serves of discretionary foods and core food groups. Photography and weights of foods in children's lunch boxes were recorded by trained researchers before and after the trial to assess primary and secondary outcomes. Outcome assessors were blinded to service allocation. Feasibility, appropriateness, and acceptability were assessed via an ECEC service manager survey and a parent web-based survey. Use of the app was assessed via app analytics. RESULTS: Data on packed lunch box contents were collected for 88.8% (355/400) of consenting children at baseline and 84.3% (337/400) of children after the intervention. There was no significant difference between groups in kilojoule from discretionary foods packed (77.84 kJ, 95% CI -163.49 to 319.18; P=.53) or the other primary or secondary outcomes. The per-protocol analysis, including only data from children of parents who downloaded the app, also did not find any statistically significant change in primary (-1.98 kJ, 95% CI -343.87 to 339.90; P=.86) or secondary outcomes. Approximately 61.8% (102/165) of parents in the intervention group downloaded the app, and the mean service viewing rate of weekly within-app messages was 26% (SD 14.9). Parents who responded to the survey and participating services agreed that it was appropriate to receive lunch box information via the app (40/50, 80% and 6/8, 75%, respectively). CONCLUSIONS: The intervention was unable to demonstrate an impact on kilojoules or associated nutrients from discretionary foods packed in children's lunch boxes. Low app downloads and program message views indicate a need to explore how to improve factors related to implementation before further testing similar mobile health interventions in this setting. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry ACTRN12618000133235; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=374379.

Strategies to improve the implementation of healthy eating, physical activity and obesity prevention policies, practices or programmes within childcare services.

BACKGROUND: Despite the existence of effective interventions and best-practice guideline recommendations for childcare services to implement evidence-based policies, practices and programmes to promote child healthy eating, physical activity and prevent unhealthy weight gain, many services fail to do so. OBJECTIVES: The primary aim of the review was to examine the effectiveness of strategies aimed at improving the implementation of policies, practices or programmes by childcare services that promote child healthy eating, physical activity and/or obesity prevention. The secondary aims of the review were to: 1. Examine the cost or cost-effectiveness of such strategies; 2. Examine any adverse effects of such strategies on childcare services, service staff or children; 3. Examine the effect of such strategies on child diet, physical activity or weight status. 4. Describe the acceptability, adoption, penetration, sustainability and appropriateness of such implementation strategies. SEARCH METHODS: We searched the following electronic databases on February 22 2019: Cochrane Central Register of Controlled trials (CENTRAL), MEDLINE, MEDLINE In Process, Embase, PsycINFO, ERIC, CINAHL and SCOPUS for relevant studies. We searched reference lists of included studies, handsearched two international implementation science journals, the World Health Organization International Clinical Trials Registry Platform (www.who.int/ictrp/) and ClinicalTrials.gov (www.clinicaltrials.gov). SELECTION CRITERIA: We included any study (randomised or nonrandomised) with a parallel control group that compared any strategy to improve the implementation of a healthy eating, physical activity or obesity prevention policy, practice or programme by staff of centre-based childcare services to no intervention, 'usual' practice or an alternative strategy. Centre-based childcare services included preschools, nurseries, long daycare services and kindergartens catering for children prior to compulsory schooling (typically up to the age of five to six years). DATA COLLECTION AND ANALYSIS: Two review authors independently screened study titles and abstracts, extracted study data and assessed risk of bias; we resolved discrepancies via consensus. We performed meta-analysis using a random-effects model where studies with suitable data and homogeneity were identified; otherwise, findings were described narratively. MAIN RESULTS: Twenty-one studies, including 16 randomised and five nonrandomised, were included in the review. The studies sought to improve the implementation of policies, practices or programmes targeting healthy eating (six studies), physical activity (three studies) or both healthy eating and physical activity (12 studies). Studies were conducted in the United States (n = 12), Australia (n = 8) and Ireland (n = 1). Collectively, the 21 studies included a total of 1945 childcare services examining a range of implementation strategies including educational materials, educational meetings, audit and feedback, opinion leaders, small incentives or grants, educational outreach visits or academic detailing, reminders and tailored interventions. Most studies (n = 19) examined implementation strategies versus usual practice or minimal support control, and two compared alternative implementation strategies. For implementation outcomes, six studies (one RCT) were judged to be at high risk of bias overall. The review findings suggest that implementation strategies probably improve the implementation of policies, practices or programmes that promote child healthy eating, physical activity and/or obesity prevention in childcare services. Of the 19 studies that compared a strategy to usual practice or minimal support control, 11 studies (nine RCTs) used score-based measures of implementation (e.g. childcare service nutrition environment score). Nine of these studies were included in pooled analysis, which found an improvement in implementation outcomes (SMD 0.49; 95% CI 0.19 to 0.79; participants = 495; moderate-certainty evidence). Ten studies (seven RCTs) used dichotomous measures of implementation (e.g. proportion of childcare services implementing a policy or specific practice), with seven of these included in pooled analysis (OR 1.83; 95% CI 0.81 to 4.11; participants = 391; low-certainty evidence). Findings suggest that such interventions probably lead to little or no difference in child physical activity (four RCTs; moderate-certainty evidence) or weight status (three RCTs; moderate-certainty evidence), and may lead to little or no difference in child diet (two RCTs; low-certainty evidence). None of the studies reported the cost or cost-effectiveness of the intervention. Three studies assessed the adverse effects of the intervention on childcare service staff, children and parents, with all studies suggesting they have little to no difference in adverse effects (e.g. child injury) between groups (three RCTs; low-certainty evidence). Inconsistent quality of the evidence was identified across review outcomes and study designs, ranging from very low to moderate. The primary limitation of the review was the lack of conventional terminology in implementation science, which may have resulted in potentially relevant studies failing to be identified based on the search terms used. AUTHORS' CONCLUSIONS: Current research suggests that implementation strategies probably improve the implementation of policies, practices or programmes by childcare services, and may have little or no effect on measures of adverse effects. However such strategies appear to have little to no impact on measures of child diet, physical activity or weight status.

Adaptation of public health initiatives: expert views on current guidance and opportunities to advance their application and benefit.

While there is some guidance to support the adaptation of evidence-based public health interventions, little is known about adaptation in practice and how to best support public health practitioners in its operationalization. This qualitative study was undertaken with researchers, methodologists, policy makers and practitioners representing public health expert organizations and universities internationally to explore their views on available adaptation frameworks, elicit potential improvements to such guidance, and identify opportunities to improve implementation of public health initiatives. Participants attended a face to face workshop in Newcastle, Australia in October 2018 where World Café and focus group discussions using Appreciative Inquiry were undertaken. A number of limitations with current guidance were reported, including a lack of detail on 'how' to adapt, limited information on adaptation of implementation strategies and a number of structural issues related to the wording and ordering of elements within frameworks. A number of opportunities to advance the field was identified. Finally, a list of overarching principles that could be applied together with existing frameworks was generated and suggested to provide a practical way of supporting adaptation decisions in practice.

Barriers to the implementation of clinical guidelines for maternal alcohol consumption in antenatal services: A survey using the theoretical domains framework.

ISSUE ADDRESSED: The aim of this study was to assess potential barriers to the implementation of clinical guideline recommendations regarding maternal alcohol consumption by antenatal clinicians and managers. METHODS: Cross-sectional surveys of antenatal clinicians and managers employed in a New South Wales Local Health District were undertaken. Survey items were developed based on 11 domains of the Theoretical Domains Framework. Consistent with previous studies, a cut point of less than 4 was applied to mean values of survey items (range: 1-5) to identify domains representing barriers to the implementation. RESULTS: Thirty-three antenatal clinicians and eight managers completed the surveys. For clinicians, the domains with the lowest mean values included "environmental context and resources" (ie, complexity of appointments and availability of supporting systems) (mean: 3.13, SD: 0.93); "social influences" (ie, expectations of others that alcohol will be addressed) (mean: 3.33, SD: 0.68); "beliefs about capabilities" (ie, confidence in providing guideline recommendations) (mean: 3.51, SD: 0.67); and "behavioural regulation" (ie, planning and responding to feedback) (mean: 3.53, SD: 0.64). For managers, "emotion regulation" (ie, stress in managing change) (mean: 2.13, SD: 0.64) and "environmental context and resources" (ie, complexities of managing change) (mean: 3.13, SD: 0.83) were the lowest scoring domains. CONCLUSIONS: The antenatal service environment and availability of resources appear to be primary barriers to both clinicians and managers implementing guidelines for maternal alcohol consumption. SO WHAT?: In the development of interventions to support the delivery of clinical guideline recommendations addressing alcohol consumption during pregnancy, a broad range of potential barriers at both the clinician and manager levels need to be considered and targeted by effective implementation strategies.

Identifying opportunities to develop the science of implementation for community-based non-communicable disease prevention: A review of implementation trials.

Implementation of interventions in community organisations such as schools, childcare centres, and sporting clubs are recommended to target a range of modifiable risks of non-communicable diseases. Poor implementation, however, is common and has contributed to the failure of non-communicable disease interventions globally. This study aimed to characterise experimental research regarding strategies to improve implementation of chronic disease prevention programs in community settings. The review used data collected in three comprehensive systematic reviews undertaken between August 2015 and July 2017. Randomised controlled trials, including cluster design, and non-randomised trials with a parallel control group were included. The data were extracted to describe trial characteristics, implementation strategies employed, implementation outcomes and study quality. Of the 40 implementation trials included in the study, unhealthy diet was the most common risk factor targeted (n = 20). The most commonly reported implementation strategies were educational meetings (n = 38, 95%), educational materials (n = 36, 90%) and educational outreach visits (n = 29, 73%). Few trials were conducted 'at-scale' (n = 8, 20%) or reported adverse effects (n = 5, 13%). The reporting of implementation related outcomes; intervention adoption (n = 13, 33%); appropriateness (n = 11, 28%); acceptability (n = 8, 20%); feasibility (n = 8, 20%); cost (n = 3, 8%); and sustainability (n = 2, 5%); was limited. For the majority of trials, risk of bias was high for blinding of study personnel/participants and outcome assessors. Testing of strategies to improve implementation of non-communicable disease prevention strategies in community settings, delivered 'at-scale', utilising implementation frameworks, including a comprehensive range of implementation outcomes should be priority areas for future research in implementation science.

Family-based prevention programmes for alcohol use in young people.

BACKGROUND: Alcohol use in young people is a risk factor for a range of short- and long-term harms and is a cause of concern for health services, policy-makers, youth workers, teachers, and parents. OBJECTIVES: To assess the effectiveness of universal, selective, and indicated family-based prevention programmes in preventing alcohol use or problem drinking in school-aged children (up to 18 years of age).Specifically, on these outcomes, the review aimed:• to assess the effectiveness of universal family-based prevention programmes for all children up to 18 years ('universal interventions');• to assess the effectiveness of selective family-based prevention programmes for children up to 18 years at elevated risk of alcohol use or problem drinking ('selective interventions'); and• to assess the effectiveness of indicated family-based prevention programmes for children up to 18 years who are currently consuming alcohol, or who have initiated use or regular use ('indicated interventions'). SEARCH METHODS: We identified relevant evidence from the Cochrane Central Register of Controlled Trials (CENTRAL), in the Cochrane Library, MEDLINE (Ovid 1966 to June 2018), Embase (1988 to June 2018), Education Resource Information Center (ERIC; EBSCOhost; 1966 to June 2018), PsycINFO (Ovid 1806 to June 2018), and Google Scholar. We also searched clinical trial registers and handsearched references of topic-related systematic reviews and the included studies. SELECTION CRITERIA: We included randomised controlled trials (RCTs) and cluster RCTs (C-RCTs) involving the parents of school-aged children who were part of the general population with no known risk factors (universal interventions), were at elevated risk of alcohol use or problem drinking (selective interventions), or were already consuming alcohol (indicated interventions). Psychosocial or educational interventions involving parents with or without involvement of children were compared with no intervention, or with alternate (e.g. child only) interventions, allowing experimental isolation of parent components. DATA COLLECTION AND ANALYSIS: We used standard methodological procedures expected by Cochrane. MAIN RESULTS: We included 46 studies (39,822 participants), with 27 classified as universal, 12 as selective, and seven as indicated. We performed meta-analyses according to outcome, including studies reporting on the prevalence, frequency, or volume of alcohol use. The overall quality of evidence was low or very low, and there was high, unexplained heterogeneity.Upon comparing any family intervention to no intervention/standard care, we found no intervention effect on the prevalence (standardised mean difference (SMD) 0.00, 95% confidence interval (CI) -0.08 to 0.08; studies = 12; participants = 7490; I² = 57%; low-quality evidence) or frequency (SMD -0.31, 95% CI -0.83 to 0.21; studies = 8; participants = 1835; I² = 96%; very low-quality evidence) of alcohol use in comparison with no intervention/standard care. The effect of any parent/family interventions on alcohol consumption volume compared with no intervention/standard care was very small (SMD -0.14, 95% CI -0.27 to 0.00; studies = 5; participants = 1825; I² = 42%; low-quality evidence).When comparing parent/family and adolescent interventions versus interventions with young people alone, we found no difference in alcohol use prevalence (SMD -0.39, 95% CI -0.91 to 0.14; studies = 4; participants = 5640; I² = 99%; very low-quality evidence) or frequency (SMD -0.16, 95% CI -0.42 to 0.09; studies = 4; participants = 915; I² = 73%; very low-quality evidence). For this comparison, no trials reporting on the volume of alcohol use could be pooled in meta-analysis.In general, the results remained consistent in separate subgroup analyses of universal, selective, and indicated interventions. No adverse effects were reported. AUTHORS' CONCLUSIONS: The results of this review indicate that there are no clear benefits of family-based programmes for alcohol use among young people. Patterns differ slightly across outcomes, but overall, the variation, heterogeneity, and number of analyses performed preclude any conclusions about intervention effects. Additional independent studies are required to strengthen the evidence and clarify the marginal effects observed.

Antenatal care for alcohol consumption during pregnancy: pregnant women's reported receipt of care and associated characteristics.

BACKGROUND: Antenatal clinical guidelines recommend that during initial and subsequent antenatal visits all pregnant women: have their alcohol consumption assessed; be advised that it is safest not to consume alcohol during pregnancy and of the potential risks of consumption; and be offered referrals for further support if required. However, the extent to which pregnant women attending public antenatal services receive guideline recommended care at these visits, and the characteristics associated with its receipt, is unknown. The purpose of this study was to examine: 1) pregnant women's reported receipt of guideline recommended care addressing alcohol consumption during pregnancy; 2) characteristics associated with the receipt of care; and 3) pregnant women's acceptability of care. METHODS: From July 2017 - February 2018 a survey (telephone or online) was undertaken with 1363 pregnant women who had recently visited a public antenatal service in one health district in Australia. Receipt and acceptability of recommended care were assessed via descriptive statistics and associations via logistic regression analyses. RESULTS: At the initial antenatal visit, less than two thirds (64.3%) of pregnant women reported that they received an assessment of their alcohol consumption and just over one third (34.9%) received advice and referral appropriate to their self-reported level of alcohol consumption since pregnancy recognition. Less than 10% of women received such care at subsequent antenatal visits. Characteristics that significantly increased the odds of receiving all guideline elements at the initial antenatal visit included: less than university attainment (OR = 1.93; 95% CI:1.12, 3.34), not residing in an advantaged area (OR = 2.11; 95% CI:1.17, 3.79), first pregnancy (OR = 1.91; 95% CI:1.22, 2.99) and regional/rural service location (OR = 2.38; 95% CI:1.26, 4.48); and at subsequent visits: younger age (OR = 0.91; 95% CI:0.84, 0.99) and Aboriginal origin (OR = 3.17; 95% CI:1.22, 8.24). Each of the recommended care elements were highly acceptable to pregnant women (88.3-99.4%). CONCLUSIONS: Although care for alcohol consumption is both recommended by clinical guidelines and highly acceptable to pregnant women, its receipt in public antenatal services is suboptimal. There is a need and an opportunity for interventions to support antenatal care providers to routinely and consistently provide such care to all pregnant women.

Implementing health policies in Australian junior sports clubs: an RCT.

BACKGROUND: This pilot study aimed to test the potential effectiveness and acceptability of an intervention to support the implementation of 16 recommended policies and practices to improve the health promotion environment of junior sporting clubs. Reported child exposure to health promoting practices at clubs was also assessed. METHODS: A cluster randomised trial was conducted with eight football leagues. Fourty-one junior football clubs belonging to four leagues in the intervention group received support (e.g. physical resources, recognition and rewards, systems and prompts) to implement 16 policies and practices that targeted child exposure to alcohol, tobacco, healthy food and beverages, and participation in physical activity. Thirty-eight clubs belonging to the four control group leagues did not receive the implementation intervention. Study outcomes were assessed via telephone interviews with nominated club representatives and parents of junior players. Between group differences in the mean number of policies and practices implemented at the club level at follow-up were examined using a multiple linear regression model. RESULTS: While the intervention was found to be acceptable, there was no significant difference between the mean number of practices and policies reported to be implemented by intervention and control clubs at post-intervention (Estimate - 0.05; 95% CI -0.91, 0.80; p = 0.90). There was also no significant difference in the proportion of children reported to be exposed to: alcohol (OR 1.16; 95% CI 0.41, 3.28; p = 0.78); tobacco (OR 0.97; CI 0.45, 2.10; p = 0.94); healthy food purchases (OR 0.49; CI 0.11, 2.27; p = 0.35); healthy drink purchases (OR 1.48; CI 0.72, 3.05; p = 0.27); or participation in physical activity (OR 0.76; CI 0.14, 4.08; p = 0.74). CONCLUSIONS: Support strategies that better address barriers to the implementation of health promotion interventions in junior sports clubs are required. TRIAL REGISTRATION: Retrospectively registered with the Australian New Zealand Clinical Trials Registry ( ACTRN12617001044314 ).

Sustaining the implementation of alcohol management practices by community sports clubs: a randomised control trial.

BACKGROUND: Risky alcohol consumption is responsible for a variety of chronic and acute harms. Individuals involved in organised sport have been identified as one population group who consume risky amounts of alcohol both at the elite and the non-elite level. 'Good Sports', an alcohol management intervention focused on the community sports setting has been successful in addressing risky alcohol use and alcohol-related harm amongst players and sports fans. Sustaining such implementation effects is a common challenge across a variety of community settings. The primary aim of this trial was to assess the effectiveness of a web-based program in sustaining the implementation of best-practice alcohol management practices by community football clubs, relative to usual program care (i.e. control clubs). METHODS: Non-elite, community football clubs in the Australian states of New South Wales and Victoria, that were participating in an alcohol management program (Good Sports) were recruited for the study. Consenting clubs were randomised into intervention (N = 92) or control (N = 96) groups. A web-based sustainability intervention was delivered to intervention clubs over three consecutive Australian winter sports seasons (April-September 2015-2017). The intervention was designed to support continued (sustained) implementation of alcohol management practices at clubs consistent with the program. Control group clubs received usual support from the national Good Sports Program. Primary outcome data was collected through observational audits of club venues and grounds. RESULTS: A total of 92 intervention clubs (574 members) and 96 control clubs (612 members) were included in the final analysis. At follow-up, sustained implementation of alcohol management practices was high in both groups and there was no significant difference between intervention or control clubs at follow-up for both the proportion of clubs implementing 10 or more practices (OR 0.53, 95%CI 0.04-7.2; p = 0.63) or for the mean number of practices being implemented (mean difference 0.10, 95%CI -0.23-0.42; p = 0.55). There were also no significant differences between groups on measures of alcohol consumption by club members. CONCLUSIONS: The findings suggest that sustained implementation of alcohol management practices was high, and similar, between clubs receiving web-based implementation support or usual program support. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry ACTRN12614000746639. Prospectively registered 14/7/2014.

Optimisation: defining and exploring a concept to enhance the impact of public health initiatives.

BACKGROUND: Repeated, data-driven optimisation processes have been applied in many fields to rapidly transform the performance of products, processes and interventions. While such processes may similarly be employed to enhance the impact of public health initiatives, optimisation has not been defined in the context of public health and there has been little exploration of its key concepts. METHODS: We used a modified, three-round Delphi study with an international group of researchers, public health policy-makers and practitioners to (1) generate a consensus-based definition of optimisation in the context of public health and (2i) describe key considerations for optimisation in that context. A pre-workshop literature review and elicitation of participant views regarding optimisation in public health (round 1) were followed by a daylong workshop and facilitated face-to-face group discussions to refine the definition and generate key considerations (round 2); finally, post-workshop discussions were undertaken to refine and finalise the findings (round 3). A thematic analysis was performed at each round. Study findings reflect an iterative consultation process with study participants. RESULTS: Thirty of 33 invited individuals (91%) participated in the study. Participants reached consensus on the following definition of optimisation in public health: "A deliberate, iterative and data-driven process to improve a health intervention and/or its implementation to meet stakeholder-defined public health impacts within resource constraints". A range of optimisation considerations were explored. Optimisation was considered most suitable when existing public health initiatives are not sufficiently effective, meaningful improvements from an optimisation process are anticipated, quality data to assess impacts are routinely available, and there are stable and ongoing resources to support it. Participants believed optimisation could be applied to improve the impacts of an intervention, an implementation strategy or both, on outcomes valued by stakeholders or end users. While optimisation processes were thought to be facilitated by an understanding of the mechanisms of an intervention or implementation strategy, no agreement was reached regarding the best approach to inform decisions about modifications to improve impact. CONCLUSIONS: The study findings provide a strong basis for future research to explore the potential impact of optimisation in the field of public health.

Promotion of healthy eating in clubs with junior teams in Australia: A cross-sectional study of club representatives and parents.

ISSUES ADDRESSED: To: (i) describe the prevalence of policies and practices promoting healthy eating implemented by sports clubs with junior teams; (ii) examine differences in such practices across geographic and operational characteristics of clubs; and (iii) describe the attitudes of club representatives and parents regarding the acceptability of sports clubs implementing policies and practices to promote healthy eating. METHODS: Cross-sectional telephone surveys of junior community football club management representatives and parents/carers of junior players were conducted in the states of New South Wales and Victoria, Australia in 2016. RESULTS: Seventy-nine of the 89 club representatives approached to participate completed the telephone survey. All clubs (100%; 95% CI 96.2-100.0) reported recommending fruit or water be provided to players after games or at half-time, 24% (95% CI 14.4-33.7) reported promoting healthy food options through prominent positioning at point of sale and only 8% (95% CI 1.6-13.6) of clubs had a written healthy eating policy. There were no significant differences between the mean number of healthy eating policies and practices implemented by club socio-economic or geographic characteristics. Club representatives and parents/carers were supportive of clubs promoting healthy eating for junior players. CONCLUSIONS: While there is strong support within sporting clubs with junior teams for policies and practices to promote healthy eating, their implementation is highly variable. SO WHAT?: A considerable opportunity remains for health promotion policy and practice improvement in clubs with junior teams, particularly regarding policies related to nutrition.

Strategies to improve the implementation of workplace-based policies or practices targeting tobacco, alcohol, diet, physical activity and obesity.

BACKGROUND: Given the substantial period of time adults spend in their workplaces each day, these provide an opportune setting for interventions addressing modifiable behavioural risk factors for chronic disease. Previous reviews of trials of workplace-based interventions suggest they can be effective in modifying a range of risk factors including diet, physical activity, obesity, risky alcohol use and tobacco use. However, such interventions are often poorly implemented in workplaces, limiting their impact on employee health. Identifying strategies that are effective in improving the implementation of workplace-based interventions has the potential to improve their effects on health outcomes. OBJECTIVES: To assess the effects of strategies for improving the implementation of workplace-based policies or practices targeting diet, physical activity, obesity, tobacco use and alcohol use.Secondary objectives were to assess the impact of such strategies on employee health behaviours, including dietary intake, physical activity, weight status, and alcohol and tobacco use; evaluate their cost-effectiveness; and identify any unintended adverse effects of implementation strategies on workplaces or workplace staff. SEARCH METHODS: We searched the following electronic databases on 31 August 2017: CENTRAL; MEDLINE; MEDLINE In Process; the Campbell Library; PsycINFO; Education Resource Information Center (ERIC); Cumulative Index to Nursing and Allied Health Literature (CINAHL); and Scopus. We also handsearched all publications between August 2012 and September 2017 in two speciality journals: Implementation Science and Journal of Translational Behavioral Medicine. We conducted searches up to September 2017 in Dissertations and Theses, the WHO International Clinical Trials Registry Platform, and the US National Institutes of Health Registry. We screened the reference lists of included trials and contacted authors to identify other potentially relevant trials. We also consulted experts in the field to identify other relevant research. SELECTION CRITERIA: Implementation strategies were defined as strategies specifically employed to improve the implementation of health interventions into routine practice within specific settings. We included any trial with a parallel control group (randomised or non-randomised) and conducted at any scale that compared strategies to support implementation of workplace policies or practices targeting diet, physical activity, obesity, risky alcohol use or tobacco use versus no intervention (i.e. wait-list, usual practice or minimal support control) or another implementation strategy. Implementation strategies could include those identified by the Effective Practice and Organisation of Care (EPOC) taxonomy such as quality improvement initiatives and education and training, as well as other strategies. Implementation interventions could target policies or practices directly instituted in the workplace environment, as well as workplace-instituted efforts encouraging the use of external health promotion services (e.g. gym membership subsidies). DATA COLLECTION AND ANALYSIS: Review authors working in pairs independently performed citation screening, data extraction and 'Risk of bias' assessment, resolving disagreements via consensus or a third reviewer. We narratively synthesised findings for all included trials by first describing trial characteristics, participants, interventions and outcomes. We then described the effect size of the outcome measure for policy or practice implementation. We performed meta-analysis of implementation outcomes for trials of comparable design and outcome. MAIN RESULTS: We included six trials, four of which took place in the USA. Four trials employed randomised controlled trial (RCT) designs. Trials were conducted in workplaces from the manufacturing, industrial and services-based sectors. The sample sizes of workplaces ranged from 12 to 114. Workplace policies and practices targeted included: healthy catering policies; point-of-purchase nutrition labelling; environmental supports for healthy eating and physical activity; tobacco control policies; weight management programmes; and adherence to guidelines for staff health promotion. All implementation interventions utilised multiple implementation strategies, the most common of which were educational meetings, tailored interventions and local consensus processes. Four trials compared an implementation strategy intervention with a no intervention control, one trial compared different implementation interventions, and one three-arm trial compared two implementation strategies with each other and a control. Four trials reported a single implementation outcome, whilst the other two reported multiple outcomes. Investigators assessed outcomes using surveys, audits and environmental observations. We judged most trials to be at high risk of performance and detection bias and at unclear risk of reporting and attrition bias.Of the five trials comparing implementation strategies with a no intervention control, pooled analysis was possible for three RCTs reporting continuous score-based measures of implementation outcomes. The meta-analysis found no difference in standardised effects (standardised mean difference (SMD) -0.01, 95% CI -0.32 to 0.30; 164 participants; 3 studies; low certainty evidence), suggesting no benefit of implementation support in improving policy or practice implementation, relative to control. Findings for other continuous or dichotomous implementation outcomes reported across these five trials were mixed. For the two non-randomised trials examining comparative effectiveness, both reported improvements in implementation, favouring the more intensive implementation group (very low certainty evidence). Three trials examined the impact of implementation strategies on employee health behaviours, reporting mixed effects for diet and weight status (very low certainty evidence) and no effect for physical activity (very low certainty evidence) or tobacco use (low certainty evidence). One trial reported an increase in absolute workplace costs for health promotion in the implementation group (low certainty evidence). None of the included trials assessed adverse consequences. Limitations of the review included the small number of trials identified and the lack of consistent terminology applied in the implementation science field, which may have resulted in us overlooking potentially relevant trials in the search. AUTHORS' CONCLUSIONS: Available evidence regarding the effectiveness of implementation strategies for improving implementation of health-promoting policies and practices in the workplace setting is sparse and inconsistent. Low certainty evidence suggests that such strategies may make little or no difference on measures of implementation fidelity or different employee health behaviour outcomes. It is also unclear if such strategies are cost-effective or have potential unintended adverse consequences. The limited number of trials identified suggests implementation research in the workplace setting is in its infancy, warranting further research to guide evidence translation in this setting.

Systematic review of universal school-based 'resilience' interventions targeting adolescent tobacco, alcohol or illicit substance use: A meta-analysis.

Universal school-based interventions that address adolescent 'resilience' may represent a means of reducing adolescent substance use, however previous systematic reviews have not examined the effectiveness of such an intervention approach. A systematic review was undertaken to 1) assess whether universal school-based 'resilience' interventions are effective in reducing the prevalence of tobacco, alcohol or illicit substance use by adolescents, and 2) describe such effectiveness per intervention characteristic subgroups. Eligible studies were peer-reviewed reports (1994-2015) of randomised controlled trials including participants aged 5-18years that reported adolescent tobacco, alcohol or illicit substance use, and implemented a universal school-based 'resilience' intervention (i.e. those addressing both individual (e.g. self-esteem) and environmental (e.g. school connectedness) protective factors of resilience). Trial effects for binary outcomes were synthesised via meta-analyses and effect sizes reported as odds ratios. Subgroup (by intervention type, prevention approach, setting, intervention duration, follow-up length) and sensitivity analyses (excluding studies at high risk of bias) were conducted. Nineteen eligible studies were identified from 16,619 records (tobacco: n=15, alcohol: n=17, illicit: n=11). An overall intervention effect was found for binary measures of illicit substance use (n=10; OR: 0.78, 95%CI: 0.6-0.93, p=0.007,Tau2=0.0, I2=0%), but not tobacco or alcohol use. A similar result was found when studies assessed as high risk of bias were excluded. Overall intervention effects were evident for illicit substance use within multiple intervention characteristic subgroups, but not tobacco and alcohol. Such results support the implementation of universal school-based interventions that address 'resilience' protective factors to reduce adolescent illicit substance use, however suggest alternate approaches are required for tobacco and alcohol use. PROSPERO registration: CRD42014004906.

Strategies to improve the implementation of healthy eating, physical activity and obesity prevention policies, practices or programmes within childcare services.

BACKGROUND: Despite the existence of effective interventions and best-practice guideline recommendations for childcare services to implement policies, practices and programmes to promote child healthy eating, physical activity and prevent unhealthy weight gain, many services fail to do so. OBJECTIVES: The primary aim of the review was to examine the effectiveness of strategies aimed at improving the implementation of policies, practices or programmes by childcare services that promote child healthy eating, physical activity and/or obesity prevention. The secondary aims of the review were to:1. describe the impact of such strategies on childcare service staff knowledge, skills or attitudes;2. describe the cost or cost-effectiveness of such strategies;3. describe any adverse effects of such strategies on childcare services, service staff or children;4. examine the effect of such strategies on child diet, physical activity or weight status. SEARCH METHODS: We searched the following electronic databases on 3 August 2015: the Cochrane Central Register of Controlled trials (CENTRAL), MEDLINE, MEDLINE In Process, EMBASE, PsycINFO, ERIC, CINAHL and SCOPUS. We also searched reference lists of included trials, handsearched two international implementation science journals and searched the World Health Organization International Clinical Trials Registry Platform (www.who.int/ictrp/) and ClinicalTrials.gov (www.clinicaltrials.gov). SELECTION CRITERIA: We included any study (randomised or non-randomised) with a parallel control group that compared any strategy to improve the implementation of a healthy eating, physical activity or obesity prevention policy, practice or programme by staff of centre-based childcare services to no intervention, 'usual' practice or an alternative strategy. DATA COLLECTION AND ANALYSIS: The review authors independently screened abstracts and titles, extracted trial data and assessed risk of bias in pairs; we resolved discrepancies via consensus. Heterogeneity across studies precluded pooling of data and undertaking quantitative assessment via meta-analysis. However, we narratively synthesised the trial findings by describing the effect size of the primary outcome measure for policy or practice implementation (or the median of such measures where a single primary outcome was not stated). MAIN RESULTS: We identified 10 trials as eligible and included them in the review. The trials sought to improve the implementation of policies and practices targeting healthy eating (two trials), physical activity (two trials) or both healthy eating and physical activity (six trials). Collectively the implementation strategies tested in the 10 trials included educational materials, educational meetings, audit and feedback, opinion leaders, small incentives or grants, educational outreach visits or academic detailing. A total of 1053 childcare services participated across all trials. Of the 10 trials, eight examined implementation strategies versus a usual practice control and two compared alternative implementation strategies. There was considerable study heterogeneity. We judged all studies as having high risk of bias for at least one domain.It is uncertain whether the strategies tested improved the implementation of policies, practices or programmes that promote child healthy eating, physical activity and/or obesity prevention. No intervention improved the implementation of all policies and practices targeted by the implementation strategies relative to a comparison group. Of the eight trials that compared an implementation strategy to usual practice or a no intervention control, however, seven reported improvements in the implementation of at least one of the targeted policies or practices relative to control. For these trials the effect on the primary implementation outcome was as follows: among the three trials that reported score-based measures of implementation the scores ranged from 1 to 5.1; across four trials reporting the proportion of staff or services implementing a specific policy or practice this ranged from 0% to 9.5%; and in three trials reporting the time (per day or week) staff or services spent implementing a policy or practice this ranged from 4.3 minutes to 7.7 minutes. The review findings also indicate that is it uncertain whether such interventions improve childcare service staff knowledge or attitudes (two trials), child physical activity (two trials), child weight status (two trials) or child diet (one trial). None of the included trials reported on the cost or cost-effectiveness of the intervention. One trial assessed the adverse effects of a physical activity intervention and found no difference in rates of child injury between groups. For all review outcomes, we rated the quality of the evidence as very low. The primary limitation of the review was the lack of conventional terminology in implementation science, which may have resulted in potentially relevant studies failing to be identified based on the search terms used in this review. AUTHORS' CONCLUSIONS: Current research provides weak and inconsistent evidence of the effectiveness of such strategies in improving the implementation of policies and practices, childcare service staff knowledge or attitudes, or child diet, physical activity or weight status. Further research in the field is required.