Increasing chronic disease preventive care in community mental health services: clinician-generated strategies.

BACKGROUND: People with a mental health condition experience a high prevalence of chronic disease risk behaviours e.g., tobacco smoking and physical inactivity. Recommended 'preventive care' to address these risks is infrequently provided by community mental health services. This study aimed to elucidate, among community mental health managers and clinicians, suggestions for strategies to support provision of preventive care. METHODS: Three qualitative focus groups (n = 14 clinicians) were undertaken in one regional community mental health service to gather perspectives of barriers to preventive care provision, deductively coded against the domains of the Theoretical Domains Framework (TDF). Drawing on the learnings from the focus groups, individual interviews (n = 15 managers and clinicians) were conducted in two services to identify suggestions for strategies to increase preventive care. Strategies were inductively coded and mapped into TDF domains. RESULTS: Barriers were identified across a wide range of TDF domains, most notably knowledge and environmental context and resources. Nine strategies were identified across three themes: training, resources and systems changes; mapping to all 14 TDF domains. CONCLUSION: Future research seeking to increase implementation of preventive care may be guided by these findings. There is need for greater recognition and resourcing of preventive care as a priority and integral component of mental health treatment.

Co-development of implementation strategies to assist staff of a mental health community managed organisation provide preventive care for health behaviours.

ISSUE ADDRESSED: People with a mental health condition are at risk of developing chronic physical disease due to smoking tobacco, inadequate nutrition, high alcohol consumption, low physical activity and poor sleep (SNAPS). Community managed organisations (CMOs) represent an opportune setting to support mental health consumers to improve their health behaviours through providing preventive care. Reporting of methods used to co-develop implementation strategies to assist CMO staff to deliver preventive care for SNAPS are scarce yet warranted. OBJECTIVES: This study aims to: (1) describe a co-development workshop involving CMO staff and researchers to identify preferred implementation support strategies to help staff routinely provide preventive care; (2) describe the strategies that emerged from the workshop; and (3) report staff ratings of the workshop on four co-development principles. METHODS: A three-hour co-development workshop was conducted on two occasions with staff of one CMO in New South Wales, Australia. Twenty staff participated in the workshops. RESULTS: Participants generated and ranked a total of seven discrete implementation strategies within five categories (training, point of care prompts, guidelines, continuous quality improvement and consumer activation). Training for staff to have difficult conversations about behaviour change was ranked highest in both workshops. Participants rated the workshops positively across four co-development principles. CONCLUSIONS: The co-development workshop enabled implementation strategies to be developed within the context in which they were to be delivered and tested, potentially increasing their feasibility, acceptability, appropriateness and impact. SO WHAT?: Implementation strategies selected from the workshops will inform a pilot implementation support trial to assist CMO staff to provide preventive care to people with mental health conditions.

Telephone-delivered health behaviour change support for people with a mental health condition: the coaches' perspective.

BACKGROUND: People with a mental health condition experience a greater prevalence of chronic disease and reduced life expectancy compared to the general population. Modifiable health risk behaviours, such as physical inactivity and poor nutrition are major contributing factors. Population-level health coaching delivering behavioural change support via telephone for healthy eating, physical activity, and weight management is an opportunity utilised by this group to support improvement in healthy lifestyle behaviours. Health coaches offer a valuable perspective into the provision of services to this high-risk group. This study aims to qualitatively explore coaches' experiences in providing support to these participants, consider factors which may contribute to engagement and outcomes; and potentially inform future service improvement. METHOD: A qualitative study design was employed involving semi-structured telephone interviews with six coaches employed in a telephone-based behaviour change support service in New South Wales, Australia, between April and July 2019. Interview data was analysed using an inductive thematic analysis. RESULTS: Coaches believed that the service was of benefit to people with a mental health condition, however making changes to health risk behaviours was potentially more difficult for this group of service users. Coaches indicated that in supporting this group there was a greater focus on building confidence and readiness to change. They noted that improvement in mental health as a result of physical health changes was an additional 'measure of success' of particular relevance. Coaches expressed a desire to receive more mental health training to better deliver coaching to participants with a mental health condition. Program variables such as limited call length were posed as possible barriers to care. CONCLUSION: Further training and additional support for coaches, in additon to considering variations to aspects of service delivery may assist in improving engagement and outcomes for participants with mental health conditions. Examining mental health consumers' experiences when engaging with telephone coaching services would be an important area to address in further research.

The provision of preventive care for modifiable health risk behaviours by clinicians within substance use treatment settings: A systematic review.

People who use substances have a high prevalence of other modifiable health risk behaviours such as tobacco smoking which contribute to an increased mortality and morbidity. Preventive care can reduce the prevalence of such behaviours and is recommended by clinical practice guidelines. This review describes the prevalence of preventive care delivery by substance use treatment healthcare providers and examines differences by treatment setting. Five databases were searched for studies published between 2005 and 2017. Eligible studies reported levels of preventive care (assessment, brief advice and/or referral/follow-up) in substance use treatment services for tobacco smoking, nutrition or physical activity. Two reviewers independently conducted article screening, data extraction and methodological quality assessment. Sixteen studies were included and all except one investigated care provision for tobacco smoking only. Four studies reported care levels as a proportion and 12 studies reported care as a score-based mean. Client-reported receipt of smoking cessation care ranged from: 79-90% for assessment; 15-79% for brief advice; 0-30% for referral/follow-up. Meta-regression analyses of 12 studies found clinician-reported preventative care for tobacco smoking was more frequently reported in studies assessing care occurring across multiple substance use treatment settings, compared to studies reporting provision in inpatient only. This review indicated that, compared to smoking cessation care, little is known about the level of preventive care for nutrition or physical activity. Overall, the delivery of smoking cessation care reported was sub-optimal. High levels of assessment relative to brief advice and low levels of referral to ongoing assistance were indicated.

Effectiveness of embedding a specialist preventive care clinician in a community mental health service in increasing preventive care provision: A randomised controlled trial.

OBJECTIVE: Clinical practice guidelines recommend that community mental health services provide preventive care for clients' chronic disease risk behaviours; however, such care is often not routinely provided. This study aimed to assess the effectiveness of offering clients an additional consultation with a specialist clinician embedded within a community mental health service, in increasing client-reported receipt of, and satisfaction with, preventive care. METHOD: A randomised controlled trial was undertaken in one Australian community mental health service. Participants (N = 811) were randomised to receive usual care (preventive care in routine consultations; n = 405) or usual care plus the offer of an additional consultation with a specialist preventive care clinician (n = 406). Blinded interviewers assessed at baseline and 1-month follow-up the client-reported receipt of preventive care (assessment, advice and referral) for four key risk behaviours individually (smoking, poor nutrition, alcohol overconsumption and physical inactivity) and all applicable risks combined, acceptance of referrals and satisfaction with preventive care received. RESULTS: Analyses indicated significantly greater increases in 12 of the 18 preventive care delivery outcomes in the intervention compared to the usual care condition from baseline to follow-up, including assessment for all risks combined (risk ratio = 4.00; 95% confidence interval = [1.57, 10.22]), advice for all applicable risks combined (risk ratio = 2.40; 95% confidence interval = [1.89, 6.47]) and offer of referral to applicable telephone services combined (risk ratio = 20.13; 95% confidence interval = [2.56, 158.04]). For each component of care, there was a significant intervention effect for at least one of the individual risk behaviours. Participants reported high levels of satisfaction with preventive care received, ranging from 77% (assessment) to 87% (referral), with no significant differences between conditions. CONCLUSION: The intervention had a significant effect on the provision of the majority of recommended elements of preventive care. Further research is needed to maximise its impact, including identifying strategies to increase client uptake.

An economic evaluation of a specialist preventive care clinician in a community mental health service: a randomised controlled trial.

BACKGROUND: Clinical practice guidelines and policies direct community mental health services to provide preventive care to address chronic disease risks, however, such care is infrequently provided in routine consultations. An alternative model of care is to appoint a clinician to the dedicated role of offering and providing preventive care in an additional consultation: the 'specialist clinician' model. Economic evaluations of models of care are needed to determine the cost of adhering to guidelines and policies, and to inform pragmatic service delivery decisions. This study is an economic evaluation of the specialist clinician model; designed to achieve policy concordant preventive care delivery. METHODS: A retrospective analysis of the incremental costs, cost-effectiveness, and budget impact of a 'specialist preventive care clinician' (an occupational therapist) was conducted in a randomised controlled trial, where participants were randomised to receive usual care; or usual care plus the offer of an additional preventive care consultation with the specialist clinician. The study outcome was client acceptance of referrals to two free telephone-based chronic disease prevention services. This is a key care delivery outcome mandated by the local health district policy of the service. The base case analysis assumed the mental health service cost perspective. A budget impact analysis determined the annual budget required to implement the model of care for all clients of the community mental health service over 5 years. RESULTS: There was a significantly greater increase from baseline to follow-up in the proportion of intervention participants accepting referrals to both telephone services, compared to usual care. The incremental cost-effectiveness ratio was $347 per additional acceptance of a referral (CI: $263-$494). The annual budget required to implement the model of care for all prospective clients was projected to be $711,446 over 5-years; resulting in 2616 accepted referrals. CONCLUSIONS: The evaluation provides key information regarding the costs for the mental health service to adhere to policy targets, indicating the model of care involved a low per client cost whilst increasing key preventive care delivery outcomes. Additional modelling is required to further explore its economic benefits. TRIAL REGISTRATION: ACTRN12616001519448. Registered 3 November 2016, https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=371709.

Preventive care for physical activity and fruit and vegetable consumption: a survey of family carer expectations of health service delivery for people with a mental health condition.

BACKGROUND: Chronic disease is a leading cause of death globally, where inadequate fruit and vegetable consumption and inadequate physical activity are consistently implicated as key contributing risk factors for such diseases. People with a mental health condition are reported to experience a higher prevalence of such risks and experience an increased morbidity and mortality from resultant chronic disease. Despite guidelines identifying a need for services accessed by people with a mental health condition to provide care to address such health risk behaviours, sub-optimal care is frequently reported suggesting a need for innovative strategies to increase the provision of physical health care. An exploratory study was conducted to examine: 1) family carers' expectations of care provision regarding fruit and vegetable consumption and physical activity by health and community services for people with a mental health condition; 2) carer's own health risk behaviour status and perceptions of the influence of the health risk behaviours on mental health; and 3) possible associations of socio-demographic, clinical and attitudinal factors with carer expectations of care provision for fruit and vegetable consumption and physical activity. METHODS: Family carers (n = 144) of a person with a mental health condition completed a cross-sectional survey. Participants were members of a mental health carer support organisation operating in New South Wales, Australia. RESULTS: A high proportion of participants considered care for fruit and vegetable consumption and physical activity respectively should be provided by: mental health hospitals (78.5, 82.7%); community mental health services (76.7, 85.9%); general practice (81.1, 79.2%); and non-government organisations (56.2, 65.4%). Most participants perceived adequate fruit and vegetable consumption (55.9%), and physical activity (71.3%) would have a very positive impact on mental health. Carers who perceived adequate fruit and vegetable consumption and physical activity would have a positive impact on mental health were more likely to expect care for such behaviours from some services. CONCLUSIONS: The majority of participants expected care for fruit and vegetable consumption and physical activity be provided by all services catering for people with a mental health condition, reinforcing the appropriateness for such services to provide physical health care for clients in a systematic manner.

The association between the receipt of primary care clinician provision of preventive care and short term health behaviour change.

Primary healthcare services are recommended to provide preventive care to address chronic disease risk behaviours. However, all care elements are infrequently provided, and there is a need to understand the impact of partial care provision on behaviour change. This study examined the association between variable levels of preventive care receipt from primary care clinicians on short-term behaviour change for four risk behaviours. A survey was undertaken with 5639 Australian community health service clients (2009-2014). Clients self-reported: engagement in risk behaviours (tobacco smoking, harmful alcohol consumption, inadequate fruit and/or vegetable consumption, physical inactivity) in the month prior to and four week post their community health service appointment; receipt of preventive care during appointments (assessment, advice, referral/follow-up) for each behaviour. Univariate regression models explored the association between change in risk status and preventive care received. The odds of behaviour change for those receiving all three care elements was significant for all behaviours, compared to no care, ranging from 2.02 (alcohol consumption, 95% CI 1.16-3.49) to 4.17 (inadequate fruit and/or vegetable consumption, 95% CI 2.91-5.96). Receipt of both assessment and advice increased the odds of behaviour change, compared to no care, for all behaviours except smoking, ranging from 2.32 (physical inactivity, 95% CI 1.60-3.35) to 2.83 (alcohol consumption, 95% CI 1.84-4.33). Receipt of 'assessment only' increased the odds of behaviour change, compared to no care, for inadequate fruit and/or vegetable consumption (OR = 2.40, 95% CI 1.60-3.59) and physical inactivity (OR = 2.81, 95% CI 1.89-4.17). Results highlight the importance of primary care clinicians providing best practice preventive care to maximise client behaviour change.

Interventions for increasing fruit and vegetable consumption in children aged five years and under.

BACKGROUND: Insufficient consumption of fruits and vegetables in childhood increases the risk of future non-communicable diseases, including cardiovascular disease. Interventions to increase consumption of fruit and vegetables, such as those focused on specific child-feeding strategies and parent nutrition education interventions in early childhood may therefore be an effective strategy in reducing this disease burden. OBJECTIVES: To assess the effectiveness, cost effectiveness and associated adverse events of interventions designed to increase the consumption of fruit, vegetables or both amongst children aged five years and under. SEARCH METHODS: We searched CENTRAL, MEDLINE, Embase and two clinical trials registries to identify eligible trials on 25 August 2019. We searched Proquest Dissertations and Theses in May 2019. We reviewed reference lists of included trials and handsearched three international nutrition journals. We contacted authors of included trials to identify further potentially relevant trials. SELECTION CRITERIA: We included randomised controlled trials, including cluster-randomised controlled trials and cross-over trials, of any intervention primarily targeting consumption of fruit, vegetables or both among children aged five years and under, and incorporating a dietary or biochemical assessment of fruit or vegetable consumption. Two review authors independently screened titles and abstracts of identified papers; a third review author resolved disagreements. DATA COLLECTION AND ANALYSIS: Two review authors independently extracted data and assessed the risks of bias of included trials; a third review author resolved disagreements. Due to unexplained heterogeneity, we used random-effects models in meta-analyses for the primary review outcomes where we identified sufficient trials. We calculated standardised mean differences (SMDs) to account for the heterogeneity of fruit and vegetable consumption measures. We conducted assessments of risks of bias and evaluated the quality of evidence (GRADE approach) using Cochrane procedures. MAIN RESULTS: We included 78 trials with 214 trial arms and 13,746 participants. Forty-eight trials examined the impact of child-feeding practices (e.g. repeated food exposure) in increasing child vegetable intake. Fifteen trials examined the impact of parent nutrition education in increasing child fruit and vegetable intake. Fourteen trials examined the impact of multicomponent interventions (e.g. parent nutrition education and preschool policy changes) in increasing child fruit and vegetable intake. Two trials examined the effect of a nutrition education intervention delivered to children in increasing child fruit and vegetable intake. One trial examined the impact of a child-focused mindfulness intervention in increasing vegetable intake. We judged 20 of the 78 included trials as free from high risks of bias across all domains. Performance, detection and attrition bias were the most common domains judged at high risk of bias for the remaining trials. There is very low-quality evidence that child-feeding practices versus no intervention may have a small positive effect on child vegetable consumption equivalent to an increase of 4.45 g as-desired consumption of vegetables (SMD 0.42, 95% CI 0.23 to 0.60; 18 trials, 2004 participants; mean post-intervention follow-up = 8.2 weeks). Multicomponent interventions versus no intervention has a small effect on child consumption of fruit and vegetables (SMD 0.34, 95% CI 0.10 to 0.57; 9 trials, 3022 participants; moderate-quality evidence; mean post-intervention follow-up = 5.4 weeks), equivalent to an increase of 0.36 cups of fruit and vegetables per day. It is uncertain whether there are any short-term differences in child consumption of fruit and vegetables in meta-analyses of trials examining parent nutrition education versus no intervention (SMD 0.12, 95% CI -0.03 to 0.28; 11 trials, 3078 participants; very low-quality evidence; mean post-intervention follow-up = 13.2 weeks). We were unable to pool child nutrition education interventions in meta-analysis; both trials reported a positive intervention effect on child consumption of fruit and vegetables (low-quality evidence). Very few trials reported long-term effectiveness (6 trials), cost effectiveness (1 trial) and unintended adverse consequences of interventions (2 trials), limiting their assessment. Trials reported receiving governmental or charitable funds, except for four trials reporting industry funding. AUTHORS' CONCLUSIONS: Despite identifying 78 eligible trials of various intervention approaches, the evidence for how to increase children's fruit and vegetable consumption remains limited. There was very low-quality evidence that child-feeding practice may lead to, and moderate-quality evidence that multicomponent interventions probably lead to small increases in fruit and vegetable consumption in children aged five years and younger. It is uncertain whether parent nutrition education interventions are effective in increasing fruit and vegetable consumption in children aged five years and younger. Given that the quality of the evidence is very low or low, future research will likely change estimates and conclusions. Long-term follow-up of at least 12 months is required and future research should adopt more rigorous methods to advance the field. This is a living systematic review. Living systematic reviews offer a new approach to review updating, in which the review is continually updated, incorporating relevant new evidence as it becomes available. Please refer to the Cochrane Database of Systematic Reviews for the current status of this review.

A survey of the prevalence of modifiable health risk behaviours among carers of people with a mental illness.

BACKGROUND: Family carers provide significant support to people with a mental illness; yet may experience poor mental and physical health themselves. Among limited research addressing the physical health of carers, studies of carers of people with dementia and young people with psychosis suggest increased risk of chronic diseases in conjunction with higher levels of potentially modifiable lifestyle risk behaviours. This exploratory study, conducted with carers of people with various mental illnesses, aimed to determine: carer prevalence of health risk behaviours (inadequate fruit and vegetable consumption, inadequate physical activity, harmful alcohol consumption, and tobacco smoking); interest in changing 'at risk' behaviours; and potential associations of socio-demographic characteristics with risk status and interest in change. METHODS: A cross-sectional survey was conducted among family carers of people with a mental illness (N = 144) residing in New South Wales, Australia. Analyses explored risk behaviour prevalence and interest in change, and associations with socio-demographic variables. RESULTS: Inadequate fruit and vegetable consumption was most prevalent (74.8%), followed by engaging in inadequate amounts of physical activity (57.6%); harmful alcohol consumption (36.3%) and smoking (11.8%). The majority of carers were interested in improving 'at risk' behaviours (56.3-89.2%), with the exception of alcohol consumption (41.5%). Previously or never married participants were more likely to consume inadequate amounts of fruits and/or vegetables compared to those married or cohabiting (Odds Ratio [OR]: 4.1, 95% Confidence Interval [CI]: 1.3-12.9, p = .02). Carers in the workforce were more likely to be engaging in inadequate physical activity (OR: 2.6, 95% CI: 1.2-5.7, p = .02); and male participants were more likely to engage in harmful alcohol consumption (OR: 2.9, 95% CI: 1.1-7.9, p = .03). Working carers were approximately five times more likely to report interest in improving their alcohol consumption (OR: 5.1, 95% CI: 1.3-20.5, p = .02) compared to those not currently in the workforce. CONCLUSIONS: Results suggest high engagement in health risk behaviours among carers of people with a mental illness, particularly with regards to harmful alcohol consumption. Findings suggest a need to develop and implement chronic disease prevention strategies. Further research with larger representative samples is needed to confirm findings.

Interventions for increasing fruit and vegetable consumption in children aged five years and under.

BACKGROUND: Insufficient consumption of fruits and vegetables in childhood increases the risk of future chronic diseases, including cardiovascular disease. OBJECTIVES: To assess the effectiveness, cost effectiveness and associated adverse events of interventions designed to increase the consumption of fruit, vegetables or both amongst children aged five years and under. SEARCH METHODS: We searched the Cochrane Central Register of Controlled Trials (CENTRAL) in the Cochrane Library, MEDLINE and Embase to identify eligible trials on 25 September 2017. We searched Proquest Dissertations and Theses and two clinical trial registers in November 2017. We reviewed reference lists of included trials and handsearched three international nutrition journals. We contacted authors of included studies to identify further potentially relevant trials. SELECTION CRITERIA: We included randomised controlled trials, including cluster-randomised controlled trials and cross-over trials, of any intervention primarily targeting consumption of fruit, vegetables or both among children aged five years and under, and incorporating a dietary or biochemical assessment of fruit or vegetable consumption. Two review authors independently screened titles and abstracts of identified papers; a third review author resolved disagreements. DATA COLLECTION AND ANALYSIS: Two review authors independently extracted data and assessed the risks of bias of included studies; a third review author resolved disagreements. Due to unexplained heterogeneity, we used random-effects models in meta-analyses for the primary review outcomes where we identified sufficient trials. We calculated standardised mean differences (SMDs) to account for the heterogeneity of fruit and vegetable consumption measures. We conducted assessments of risks of bias and evaluated the quality of evidence (GRADE approach) using Cochrane procedures. MAIN RESULTS: We included 55 trials with 154 trial arms and 11,108 participants. Thirty-three trials examined the impact of child-feeding practices (e.g. repeated food exposure) in increasing child vegetable intake. Thirteen trials examined the impact of parent nutrition education in increasing child fruit and vegetable intake. Eight studies examined the impact of multicomponent interventions (e.g. parent nutrition education and preschool policy changes) in increasing child fruit and vegetable intake. One study examined the effect of a nutrition intervention delivered to children in increasing child fruit and vegetable intake.We judged 14 of the 55 included trials as free from high risks of bias across all domains; performance, detection and attrition bias were the most common domains judged at high risk of bias for the remaining studies.Meta-analysis of trials examining child-feeding practices versus no intervention revealed a positive effect on child vegetable consumption (SMD 0.38, 95% confidence interval (CI) 0.15 to 0.61; n = 1509; 11 studies; very low-quality evidence), equivalent to a mean difference of 4.03 g of vegetables. There were no short-term differences in child consumption of fruit and vegetables in meta-analyses of trials examining parent nutrition education versus no intervention (SMD 0.11, 95% CI -0.05 to 0.28; n = 3023; 10 studies; very low-quality evidence) or multicomponent interventions versus no intervention (SMD 0.28, 95% CI -0.06 to 0.63; n = 1861; 4 studies; very low-quality evidence).Insufficient data were available to assess long-term effectiveness, cost effectiveness and unintended adverse consequences of interventions. Studies reported receiving governmental or charitable funds, except for three studies reporting industry funding. AUTHORS' CONCLUSIONS: Despite identifying 55 eligible trials of various intervention approaches, the evidence for how to increase children's fruit and vegetable consumption remains sparse. There was very low-quality evidence that child-feeding practice interventions are effective in increasing vegetable consumption in children aged five years and younger, however the effect size was very small and long-term follow-up is required. There was very low-quality evidence that parent nutrition education and multicomponent interventions are not effective in increasing fruit and vegetable consumption in children aged five years and younger. All findings should be considered with caution, given most included trials could not be combined in meta-analyses. Given the very low-quality evidence, future research will very likely change estimates and conclusions. Such research should adopt more rigorous methods to advance the field.This is a living systematic review. Living systematic reviews offer a new approach to review updating, in which the review is continually updated, incorporating relevant new evidence as it becomes available. Please refer to the Cochrane Database of Systematic Reviews for the current status of this review.

Interventions for increasing fruit and vegetable consumption in children aged five years and under.

BACKGROUND: Insufficient consumption of fruits and vegetables in childhood increases the risk of future non-communicable diseases, including cardiovascular disease. Interventions to increase consumption of fruit and vegetables, such as those focused on specific child-feeding strategies and parent nutrition education interventions in early childhood may therefore be an effective strategy in reducing this disease burden. OBJECTIVES: To assess the effectiveness, cost effectiveness and associated adverse events of interventions designed to increase the consumption of fruit, vegetables or both amongst children aged five years and under. SEARCH METHODS: We searched CENTRAL, MEDLINE, Embase and two clinical trials registries to identify eligible trials on 25 January 2018. We searched Proquest Dissertations and Theses in November 2017. We reviewed reference lists of included trials and handsearched three international nutrition journals. We contacted authors of included studies to identify further potentially relevant trials. SELECTION CRITERIA: We included randomised controlled trials, including cluster-randomised controlled trials and cross-over trials, of any intervention primarily targeting consumption of fruit, vegetables or both among children aged five years and under, and incorporating a dietary or biochemical assessment of fruit or vegetable consumption. Two review authors independently screened titles and abstracts of identified papers; a third review author resolved disagreements. DATA COLLECTION AND ANALYSIS: Two review authors independently extracted data and assessed the risks of bias of included studies; a third review author resolved disagreements. Due to unexplained heterogeneity, we used random-effects models in meta-analyses for the primary review outcomes where we identified sufficient trials. We calculated standardised mean differences (SMDs) to account for the heterogeneity of fruit and vegetable consumption measures. We conducted assessments of risks of bias and evaluated the quality of evidence (GRADE approach) using Cochrane procedures. MAIN RESULTS: We included 63 trials with 178 trial arms and 11,698 participants. Thirty-nine trials examined the impact of child-feeding practices (e.g. repeated food exposure) in increasing child vegetable intake. Fourteen trials examined the impact of parent nutrition education in increasing child fruit and vegetable intake. Nine studies examined the impact of multicomponent interventions (e.g. parent nutrition education and preschool policy changes) in increasing child fruit and vegetable intake. One study examined the effect of a nutrition education intervention delivered to children in increasing child fruit and vegetable intake.We judged 14 of the 63 included trials as free from high risks of bias across all domains; performance, detection and attrition bias were the most common domains judged at high risk of bias for the remaining studies.There is very low quality evidence that child-feeding practices versus no intervention may have a small positive effect on child vegetable consumption equivalent to an increase of 3.50 g as-desired consumption of vegetables (SMD 0.33, 95% CI 0.13 to 0.54; participants = 1741; studies = 13). Multicomponent interventions versus no intervention may have a very small effect on child consumption of fruit and vegetables (SMD 0.35, 95% CI 0.04 to 0.66; participants = 2009; studies = 5; low-quality evidence), equivalent to an increase of 0.37 cups of fruit and vegetables per day. It is uncertain whether there are any short-term differences in child consumption of fruit and vegetables in meta-analyses of trials examining parent nutrition education versus no intervention (SMD 0.12, 95% CI -0.03 to 0.28; participants = 3078; studies = 11; very low-quality evidence).Insufficient data were available to assess long-term effectiveness, cost effectiveness and unintended adverse consequences of interventions. Studies reported receiving governmental or charitable funds, except for four studies reporting industry funding. AUTHORS' CONCLUSIONS: Despite identifying 63 eligible trials of various intervention approaches, the evidence for how to increase children's fruit and vegetable consumption remains limited. There was very low- and low-quality evidence respectively that child-feeding practice and multicomponent interventions may lead to very small increases in fruit and vegetable consumption in children aged five years and younger. It is uncertain whether parent nutrition education interventions are effective in increasing fruit and vegetable consumption in children aged five years and younger. Given that the quality of the evidence is very low or low, future research will likely change estimates and conclusions. Long-term follow-up is required and future research should adopt more rigorous methods to advance the field.This is a living systematic review. Living systematic reviews offer a new approach to review updating, in which the review is continually updated, incorporating relevant new evidence as it becomes available. Please refer to the Cochrane Database of Systematic Reviews for the current status of this review.

Supporting change in chronic disease risk behaviours for people with a mental illness: a qualitative study of the experiences of family carers.

BACKGROUND: People with a mental illness experience greater chronic disease morbidity and mortality, and associated reduced life expectancy, compared to those without such an illness. A higher prevalence of chronic disease risk behaviours (inadequate nutrition, inadequate physical activity, tobacco smoking, and harmful alcohol consumption) is experienced by this population. Family carers have the potential to support change in such behaviours among those they care for with a mental illness. This study aimed to explore family carers': 1) experiences in addressing the chronic disease risk behaviours of their family members; 2) existing barriers to addressing such behaviours; and 3) perceptions of potential strategies to assist them to provide risk behaviour change support. METHODS: A qualitative study of four focus groups (n = 31), using a semi-structured interview schedule, was conducted with carers of people with a mental illness in New South Wales, Australia from January 2015 to February 2016. An inductive thematic analysis was employed to explore the experience of carers in addressing the chronic disease risk behaviours. RESULTS: Two main themes were identified in family carers' report of their experiences: firstly, that health behaviours were salient concerns for carers and that they were engaged in providing support, and secondly that they perceived a bidirectional relationship between health behaviours and mental well-being. Key barriers to addressing behaviours were: a need to attend to carers' own well-being; defensiveness on behalf of the family member; and not residing with their family member; with other behaviour-specific barriers also identified. Discussion around strategies which would assist carers in providing support for health risk behaviours identified a need for improved communication and collaboration between carers and health services accessed by their family members. CONCLUSIONS: Additional support from general and mental health services accessed by family members is desired to assist carers to address the barriers to providing behaviour change support. Carers have the potential to support and extend health service interventions aimed at improving the chronic disease risk behaviours of people with a mental illness but may require additional information, and collaboration from services. Further research is needed to explore these constructs in a large representative sample.

Interventions for increasing fruit and vegetable consumption in children aged five years and under.

BACKGROUND: Insufficient consumption of fruits and vegetables in childhood increases the risk of future chronic diseases, including cardiovascular disease. OBJECTIVES: To assess the effectiveness, cost effectiveness and associated adverse events of interventions designed to increase the consumption of fruit, vegetables or both amongst children aged five years and under. SEARCH METHODS: We searched the Cochrane Central Register of Controlled Trials (CENTRAL) in the Cochrane Library, MEDLINE, Embase Classic and Embase to identify eligible trials on 30 September 2016. We searched CINAHL and PsycINFO in July 2016, Proquest Dissertations and Theses in November 2016 and three clinical trial registers in November 2016 and June 2017. We reviewed reference lists of included trials and handsearched three international nutrition journals. We contacted authors of included studies to identify further potentially relevant trials. SELECTION CRITERIA: We included randomised controlled trials, including cluster-randomised controlled trials and cross-over trials, of any intervention primarily targeting consumption of fruit, vegetables or both among children aged five years and under, and incorporating a dietary or biochemical assessment of fruit or vegetable consumption. Two review authors independently screened titles and abstracts of identified papers; a third review author resolved disagreements. DATA COLLECTION AND ANALYSIS: Two review authors independently extracted data and assessed the risks of bias of included studies; a third review author resolved disagreements. Due to unexplained heterogeneity, we used random-effects models in meta-analyses for the primary review outcomes where we identified sufficient trials. We calculated standardised mean differences (SMDs) to account for the heterogeneity of fruit and vegetable consumption measures.We conducted assessments of risks of bias and evaluated the quality of evidence (GRADE approach) using Cochrane procedures. MAIN RESULTS: We included 50 trials with 137 trial arms and 10,267 participants. Thirty trials examined the impact of child-feeding practices (e.g. repeated food exposure) in increasing child vegetable intake. Eleven trials examined the impact of parent nutrition education in increasing child fruit and vegetable intake. Eight studies examined the impact of multicomponent interventions (e.g. parent nutrition education and preschool policy changes) in increasing child fruit and vegetable intake. One study examined the effect of a nutrition intervention delivered to children in increasing child fruit and vegetable intake.Thirteen of the 50 included trials were judged as free from high risks of bias across all domains; performance, detection and attrition bias were the most common domains judged at high risk of bias of remaining studies.Meta-analysis of trials examining child-feeding practices versus no intervention revealed a positive effect on child vegetable consumption (SMD 0.38, 95% CI 0.15 to 0.61; n = 1509; 11 studies; very low-quality evidence), equivalent to a mean difference of 4.03 grams of vegetables. There were no short-term differences in child consumption of fruit and vegetables in meta-analyses of trials examining parent nutrition education versus no intervention (SMD 0.11, 95% CI -0.05 to 0.28; n = 3023; 10 studies; very low-quality evidence) or multicomponent interventions versus no intervention (SMD 0.28, 95% CI -0.06 to 0.63; n = 1861; 4 studies; very low-quality evidence).Insufficient data were available to assess long-term effectiveness, cost effectiveness and unintended adverse consequences of interventions.Studies reported receiving governmental or charitable funds, except for two studies reporting industry funding. AUTHORS' CONCLUSIONS: Despite identifying 50 eligible trials of various intervention approaches, the evidence for how to increase fruit and vegetable consumption of children remains sparse. There was very low-quality evidence child-feeding practice interventions are effective in increasing vegetable consumption of children aged five years and younger, however the effect size was very small and long-term follow-up is required. There was very low-quality evidence that parent nutrition education and multicomponent interventions are not effective in increasing fruit and vegetable consumption of children aged five years and younger. All findings should be considered with caution, given most included trials could not be combined in meta-analyses. Given the very low-quality evidence, future research will very likely change estimates and conclusions. Such research should adopt more rigorous methods to advance the field.This is a living systematic review. Living systematic reviews offer a new approach to review updating, in which the review is continually updated, incorporating relevant new evidence as it becomes available. Please refer to the Cochrane Database of Systematic Reviews for the current status of this review.

Mental health clinician attitudes to the provision of preventive care for chronic disease risk behaviours and association with care provision.

BACKGROUND: Preventive care for chronic disease risk behaviours by mental health clinicians is sub-optimal. Little research has examined the association between clinician attitudes and such care delivery. This study aimed to explore: i) the attitudes of a multi-disciplinary group of community mental health clinicians regarding their perceived role, perception of client interest, and perceived self-efficacy in the provision of preventive care, ii) whether such attitudes differ by professional discipline, and iii) the association between these attitudes and clinician provision of such care. METHOD: A telephone survey was conducted with 151 Australian community mental health clinicians regarding their attitudes towards provision of assessment, advice and referral addressing smoking, nutrition, alcohol, and physical activity, and their reported provision of such care. Logistic regression was used to examine the association between attitudes and care delivery, and attitudinal differences by professional discipline. RESULTS: Most clinicians reported that: their manager supported provision of preventive care; such care was part of their role; it would not jeopardise their practitioner-client relationships, clients found preventive care acceptable, and that they had the confidence, knowledge and skills to modify client health behaviours. Half reported that clients were not interested in changing their health behaviours, and one third indicated that the provision of preventive care negatively impacted on time available for delivery of acute care. The following attitudes were positively associated with the provision of preventive care: role congruence, client interest in change, and addressing health risk behaviours will not jeopardise the client-clinician relationship. CONCLUSIONS: Strategies are required to translate positive attitudes to improved client care and address attitudes which may hinder the provision of preventive care in community mental health.

Chronic disease health risk behaviours amongst people with a mental illness.

OBJECTIVE: Amongst people with a mental illness, modifiable health risk behaviours contribute substantially to increased chronic disease morbidity and mortality. This study examined the prevalence of and interest in changing such behaviours amongst community mental health service clients in Australia. METHOD: A telephone interview was undertaken with Australian community mental health service clients. Participants reported engagement in four health risk behaviours: tobacco smoking, fruit and vegetable consumption, alcohol consumption, and physical activity. Participants were classified as at risk based upon Australian national guidelines. At-risk participants were asked whether they were considering improving their health risk behaviour within the next month. The association between psychiatric diagnosis and risk, and interest in improving health risk behaviours was examined. RESULTS: Risk prevalence was highest for inadequate vegetable consumption (78.3%), followed by inadequate fruit consumption (60%), smoking (50.7%), physical inactivity (46.8%), short-term alcohol risk (40.3%) and chronic alcohol risk (35.3%). A majority of at-risk participants were considering improving their health risk behaviour for smoking, physical inactivity and inadequate fruit and vegetable consumption (65.1%, 71.1%, and 53.3%, respectively). After adjusting for demographic factors, no diagnostic categories were associated with risk for any behaviour. Those with a diagnosis of depression were more likely to be interested in quitting smoking and increasing physical activity. CONCLUSIONS: Regardless of diagnosis, a high prevalence of chronic disease health risk behaviours was identified, with many participants expressing an interest in improving these behaviours. Such findings reinforce recommendations that preventive care addressing the chronic disease risks of clients be provided routinely by mental health clinicians. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry (ANZCTR) ACTRN12613000693729. URL: www.anzctr.org.au/.

Readiness to quit smoking and quit attempts among Australian mental health inpatients.

INTRODUCTION: Mental health inpatients smoke at higher rates than general population smokers. However, provision of nicotine-dependence treatment in inpatient settings is low, with barriers to the provision of such care including staff views that patients do not want to quit. This paper reports the findings of a survey of mental health inpatients at a psychiatric hospital in New South Wales, Australia, assessing smoking and quitting motivations and behaviors. METHODS: Smokers (n = 97) were surveyed within the inpatient setting using a structured survey tool, incorporating the Fagerström Test for Nicotine Dependence, Reasons for Quitting Scale, Readiness and Motivation to Quit Smoking Questionnaire, and other measures of smoking and quitting behavior. RESULTS: Approximately 47% of smokers reported having made at least one quit attempt within the past 12 months, despite nearly three quarters (71.2%) being classified as in a "precontemplative" stage of change. Multinomial logistic regressions revealed that self-reporting "not enjoying being a smoker" and having made a quit attempt in the last 12 months predicted having advanced beyond a precontemplative stage of change. A high self-reported desire to quit predicted a quit attempt having been made in the last 12 months. CONCLUSIONS: The majority of smokers had made several quit attempts, with a large percentage occurring recently, suggesting that the actual quitting behavior should be considered as an important indication of the "desire to quit." This paper provides further data supporting the assertion that multimodal smoking cessation interventions combining psychosocial and pharmacological support should be provided to psychiatric inpatients who smoke.

Evaluation of an implementation support package to increase community mental health clinicians' routine delivery of preventive care for multiple health behaviours: a non-randomised controlled trial.

BACKGROUND: People with a mental health condition are more likely to engage in risk behaviours compared to people without. Delivery of preventive care to improve such behaviours is recommended for community mental health services, but inadequately implemented. This study assessed the effectiveness of an implementation support package on clinicians' delivery of preventive care (assessment, advice, referral) for four risk behaviours (tobacco smoking, harmful alcohol consumption, physical inactivity, inadequate fruit and vegetable intake) compared to no implementation support. The participatory approach to developing the support package, and fidelity of the implementation strategies, are also described. METHODS: A non-randomised controlled trial was undertaken in 2019-2020 with two community mental health services (control and target) in one health district in New South Wales, Australia. A 4-month support package consisting of multiple implementation strategies was delivered to one site following a two-phase participatory design process. Five implementation strategies were proposed to service managers by researchers. After consultation with managers and clinicians, the final implementation support package included four strategies: training and education materials, enabling resources and prompts, client activation material, and audit and feedback. Client-reported receipt of the three elements of preventive care for the four risk behaviours was collected from a cross-sectional sample of clients who had recently attended the service at baseline (6 months) and follow-up (5 months). Logistic regression models examined change in receipt of preventive care to assess effectiveness. RESULTS: A total of 860 client surveys were completed (control baseline n = 168; target baseline n = 261; control follow-up n = 164; and target follow-up n = 267). Analyses revealed no significant differential changes in preventive care receipt between the target and control sites from baseline to follow-up, including across the four primary outcomes: assessed for all behaviours (OR = 1.19; 95% CI 0.55, 2.57; p = 0.65); advised for all relevant risk behaviours (OR = 1.18; 95% CI 0.39, 3.61; p = 0.77); referred for any relevant risk behaviour (OR = 0.80; 95% CI 0.40, 1.63; p = 0.55); and complete care (OR = 3.11; 95% CI 0.62, 15.63; p = 0.17). Fidelity of the implementation strategies was limited as one of the four strategies (audit and feedback) was not delivered, components of two strategies (enabling resources and prompts, and client activation material) were not delivered as intended, and one strategy (education and training) was delivered as intended although some components were offered late in the implementation period. CONCLUSIONS: The implementation support package was ineffective at increasing preventive care delivery. Further investigation is required to determine optimal participatory design methods to develop effective implementation strategies, including those that support delivery of care in community mental health settings within the ongoing context of uncertain environmental challenges. TRIAL REGISTRATION: Australian and New Zealand Clinical Trials Registry ACTRN12619001379101.

Clustering of chronic disease risks among people accessing community mental health services.

This study identified clusters of chronic disease risks and explored associations between clusters and demographic characteristics and mental health conditions, among people accessing community mental health services. Data from a cross-sectional telephone survey of Australian mental health consumers (n = 567) were analysed. Clusters were identified based on tobacco smoking (53.5%), harmful chronic alcohol consumption (20.1%), harmful acute alcohol consumption (43.5%), inadequate fruit and vegetable intake (66.0%), inadequate physical activity (75.5%), inadequate strength activity (81.8%), and high body mass index (BMI) (67.9%), using latent class analysis. Multinomial logistic regression examined associations between cluster membership and participant characteristics. Three groups were identified: Cluster 1 (19.05%) had < 0.5 probabilities for most risks; Cluster 2 (34.04%) had high probabilities of all risks, particularly tobacco smoking and both types of harmful alcohol consumption; and Cluster 3 (46.91%) had high probabilities of both inadequate physical and strength activity, inadequate fruit and vegetable intake, and high BMI. Compared to Cluster 1 membership, participants with higher education were less likely to be in either Cluster 2 or 3, females or those over 55 were more likely to be in Cluster 3, those with a substance use disorder were more likely to be in Cluster 2, and those with a personality disorder were less likely to be in Cluster 3. The clustering patterns reinforce the importance of addressing multiple chronic disease risks for people with a mental health condition. Preventive care interventions targeting clusters of risks may help reduce the burden of chronic disease among this high-risk population.

Exploring Support Provided by Community Managed Organisations to Address Health Risk Behaviours Associated with Chronic Disease among People with Mental Health Conditions: A Qualitative Study with Organisational Leaders.

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.