Dr Kate Bartlem

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.

Background: A range of school-based interventions are effective in improving student diet and physical activity (e.g. school food policy interventions and classroom physical activity interventions), and reducing obesity, tobacco use and/or alcohol use (e.g. tobacco control programmes and alcohol education programmes). However, schools are frequently unsuccessful in implementing such evidence-based interventions. Objectives: The primary review objective is to evaluate the effectiveness of strategies aiming to improve school implementation of interventions to address students' (aged 5 to 18 years) diet, physical activity, obesity, tobacco use and/or alcohol use. The secondary objectives are to:. 1. determine whether the effects are different based on the characteristics of the intervention including school type and the health behaviour or risk factor targeted by the intervention;¿2. describe any unintended consequences and adverse effects of strategies on schools, school staff or students; and¿3. describe the cost or cost-effectiveness of strategies. Search methods: We searched CENTRAL, MEDLINE (Ovid), Embase (Ovid), five additional databases, the World Health Organization (WHO) International Clinical Trials Registry Platform (ICTRP), and the US National Institutes of Health registry (clinicaltrials.gov). The latest search was between 1 May 2021 and 30 June 2023 to identify any relevant trials published since the last published review. Selection criteria: We defined 'implementation' as the use of strategies to adopt and integrate evidence-based health interventions and to change practice patterns within specific settings. We included any randomised controlled trial (RCT) or cluster-RCT conducted on any scale, in a school setting, with a parallel control group that compared a strategy to improve the implementation of policies or practices to address diet, physical activity, obesity, tobacco use and/or alcohol use by students (aged 5 to 18 years) to no active implementation strategy (i.e. no intervention, inclusive of usual practice, minimal support) or a different implementation strategy. Data collection and analysis: We used standard Cochrane methods. Given the large number of outcomes reported, we selected and included the effects of a single outcome measure for each trial for the primary outcome using a decision hierarchy (i.e. continuous over dichotomous, most valid, total score over subscore). Where possible, we calculated standardised mean differences (SMDs) to account for variable outcome measures with 95% confidence intervals (CI). We conducted meta-analyses using a random-effects model. Where we could not combine data in meta-analysis, we followed recommended Cochrane methods and reported results in accordance with 'Synthesis without meta-analysis' (SWiM) guidelines. We conducted assessments of risk of bias and evaluated the certainty of evidence (GRADE approach) using Cochrane procedures. Main results: We included an additional 14 trials in this update, bringing the total number of included trials in the review to 39 trials with 83 trial arms and 6489 participants. Of these, the majority were conducted in Australia and the USA (n = 15 each). Nine were RCTs and 30 were cluster-RCTs. Twelve trials tested strategies to implement healthy eating practices; 17 physical activity, two tobacco, one alcohol, and seven a combination of risk factors. All trials used multiple implementation strategies, the most common being educational materials, educational meetings, and education outreach visits, or academic detailing. Of the 39 included trials, we judged 26 as having high risks of bias, 11 as having some concerns, and two as having low risk of bias across all domains. Pooled analyses found, relative to a control (no active implementation strategy), the use of implementation strategies probably results in a large increase in the implementation of interventions in schools (SMD 0.95, 95% CI 0.71, 1.19; I2...

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.

People with mental health conditions have a median reduced life expectancy of 10¿years, largely due to a higher prevalence of chronic diseases. Health risk behaviours, including tobacco smoking, inadequate fruit and vegetable consumption, harmful alcohol consumption and physical inactivity, contribute substantially to the burden of chronic disease for this population. Community Managed Organisations (CMOs) may have an important role in addressing these behaviours among consumers with a mental health condition; however, little previous research has explored the provision of preventive care from these organisations. To fill this research gap, a cross-sectional online survey was conducted between August and November 2017 with staff (n = 174) of one CMO which has multiple services in two states of Australia. The survey explored the provision of preventive care for four key health risk behaviours. Optimal preventive care (to = 80% consumers for all four behaviours) was reported more frequently for brief advice (28%) and assessment (26%), than for assistance (13%) and referring/connecting consumers to services for help (12%) with modifying health risk behaviours. Preventive care to = 80% consumers was least frequently reported for alcohol consumption and most frequently reported for physical activity. The provision of preventive care for health risk behaviours appears to be part of CMO staffs' existing practice; however, it does not appear to be routinely provided across all behaviours. Further research exploring the barriers and facilitators to providing preventive care is needed to understand how CMOs may better support people with a mental health condition to improve their health risk behaviours.

People with a mental illness experience a disproportionate burden of chronic disease morbidity and mortality; contributed to by a higher prevalence of health risk behaviours that increase the risk of chronic disease development. Amongst this population there is little understanding of multiple risk behaviour co-occurrence and client interest in improving multiple such risks. A cross-sectional survey was undertaken with a random selection of 557 clients of 12 community mental health services in Australia. Participants reported their engagement in health risk behaviours (tobacco smoking, harmful alcohol consumption, inadequate fruit and/or vegetable consumption, and inadequate physical activity), and those deemed 'at risk' reported whether they were seriously considering improving their risk behaviours. Almost all participants engaged in at least one risk behaviour (96.1%), with 78.4% of participants engaging in two or more risk behaviours. Of those with two risks, the most frequently paired behaviours were inadequate fruit and vegetable consumption and inadequate physical activity (39.7%); of those with three risks the most common combination was inadequate fruit and vegetable consumption, tobacco smoking and harmful alcohol consumption (42.5%). Of those at risk for all behaviours, 68.4% were interested in improving multiple behaviours, and 14% were interested in improving all; with these participants being most frequently interested in changing smoking, nutrition, and physical activity (19.3%), followed by all risk behaviours (14.0%). The findings strengthen the evidence that people with a mental illness are interested in improving their health risk behaviours and indicate a need to address the multiple health risks in this population group.

People living with mental health conditions have a reduced life expectancy of approximately 10 years compared to the general population, largely due to physical chronic diseases and higher rates of tobacco smoking, poor nutrition, harmful alcohol consumption, physical inactivity and poor sleep behaviours. Community managed organisations (CMOs) may play a valuable role in providing preventive care to people with mental health conditions (consumers) to address these health behaviours. This paper reports the findings of a cross-sectional survey undertaken between November 2018 and February 2019 with leaders of CMOs (n = 76) that support people with mental health conditions in the state of New South Wales, Australia to: 1) measure the provision of preventive care (screening, support, and connections to specialist services) for five health behaviours; 2) identify the presence of key organisational features (e.g., data collection, staff training); and 3) explore if these organisational features were associated with the provision of preventive care. Preventive care provision to a majority of consumers (50% or more) was least frequently reported for tobacco smoking and most frequently reported for physical activity. Staff training and guidelines regarding the provision of preventive care were associated with the provision of such care. The results demonstrate that CMOs are already engaged in providing preventive care to some extent, with certain behaviours and preventive care elements addressed more frequently than others. Further research with additional CMO stakeholders, including staff and consumers, is needed to gain a deeper understanding of factors that may underlie CMOs capacity to routinely provide preventive care.

Population-level telephone coaching services provide accessible behaviour change support for modifiable health risk behaviours. The NSW Get Healthy Information and Coaching Service® (GHS) is a free telephone-based coaching service in Australia, supporting improvements in healthy eating, physical activity and achieving or maintaining a healthy weight. This study compared measures of participation (such as program completion) and outcomes achieved immediate post-program (including changes in fruit and vegetable consumption, physical activity and weight) for GHS participants with and without a self-identified mental health condition (MHC). Secondary data analysis was conducted on service data collected at program intake and completion for individuals who enrolled in a coaching program between January 2018 and October 2019 (n = 5,629); 33% identified as having had an MHC. While those with and without an MHC had similar rates of completion, those with an MHC were less likely to complete a coaching program (31% vs 36%, p = .003). Participants with an MHC made significant positive changes to their fruit and vegetable consumption, physical activity (walking and moderate), weight and BMI, but not to waist circumference or vigorous physical activity. When comparing the magnitude of change for those with and without an MHC, individuals without made greater improvements to their weight (adjusted mean difference -0.623 kg, p = .034) and daily vegetable intake (adjusted mean difference -0.199 serves; p = .01). There were no differences for other variables. The GHS is an effective means of supporting behaviour change for people with an MHC who complete a coaching program. Further research should consider means of improving retention rates.

Introduction and Aims: People who use substances have a high prevalence of modifiable chronic disease health risk behaviours. Preventive care to address such risks has not traditionally been provided during substance use treatment. This study aimed to assess clinicians' attitudes towards preventive care and their association with care provision. Design and Methods: A cross-sectional study utilising computer-assisted telephone interviews was undertaken with clinicians (n = 54) of community-based substance use treatment services in one health district, Australia. Clinicians indicated their agreement with 10 attitudinal statements regarding their perceived role and self-efficacy in providing preventive care and perceptions of client interest in modifying behaviours. Logistic regression analyses examined the association between clinician attitudinal items and self-reported care provision. Results: Fifty-four clinicians (74%) agreed to participate. The most positive attitudes were preventive care being part of their role (100%), and they have the knowledge and skills to provide preventive care (100%). The least favourable attitude was clients were interested in changing their health risk behaviours (60%). Clinicians who reported that preventive care left little time to undertake acute care were more likely to assess for smoking (OR 8.06 [95% CI 1.31, 49.46]) and less likely to provide brief advice for all risks combined (OR 0.11 [95% CI 0.02, 0.63]). Discussion and Conclusions: Overall, clinicians reported positive attitudes regarding the preventive care provision for modifiable health risk behaviours in substance use treatment settings. Further research is required to investigate why, despite such positive attitudes, clinicians in substance use treatment settings do not routinely provide preventive care.

Introduction and Aims: Health risk behaviours, such as smoking, nutrition and physical inactivity, are significant contributors to chronic disease for people with substance use disorders. This study reports the prevalence of these behaviours amongst substance use treatment clients, their attitudes towards modifying such behaviours and the acceptability of receiving support to do so. Client characteristics associated with risk status and interest in modifying behaviours were examined. Design and Methods: A cross-sectional survey was undertaken with clients of 15 community substance use treatment services within in New South Wales, Australia. Data for the study were collected via computer assisted telephone interviews. Results: Of those contactable and eligible, 386 (71%) clients completed the survey. Clients reported a high prevalence of smoking (80%), insufficient fruit and/or vegetable consumption (89%) and insufficient physical activity (31%). Overall, 51¿69% of clients reported considering modifying their health risk behaviours and 88¿97% thought it was acceptable to be provided preventive care to address such behaviours. Younger clients were more likely to smoke (18¿34 years (odds ratio [OR] = 4.6 [95% confidence interval [CI] = 1.9, 11.3]); 35¿54 years (OR = 2.6 [95% CI = 1.2, 5.7])) and be interested in increasing vegetable consumption (18¿34 years (OR = 4.4 [95% CI = 1.3, 14.8]); 35¿54 years (OR = 8.0 [95% CI = 2.5, 25.4])) than older clients (=55 years). Discussion and Conclusions: There is a high prevalence of health risk behaviours amongst clients of community substance use treatment services. However, contrary to commonly cited barriers to care provision, clients are interested in modifying their risk behaviours and report that receiving preventive care to address these behaviours is acceptable. [Tremain D, Freund M, Wolfenden L, Wye P, Bowman J, Dunlop A, Gillham K, Bartlem K, McElwaine K, Gow B, Wiggers J. Modifiable health risk behaviours and attitudes towards behaviour change of clients attending community-based substance use treatment services. Drug Alcohol Rev 2017;36:369¿377.].

People with a mental illness experience greater chronic disease morbidity and mortality compared to those without mental illness. Family carers have the potential to promote the health behaviours of those they care for however factors which may influence the extent to which they do so have not been reported. An exploratory study was conducted to investigate carers': 1) promotion of fruit and vegetable consumption, physical activity, quitting smoking, and reducing alcohol consumption; 2) perceptions of their role and ability to promote such behaviours; 3) and the association between carer perceptions and the promotion of such behaviours. A cross-sectional survey was conducted with mental health carers (N¿=¿144, 37.6% response rate) in New South Wales, Australia in 2013. Associations between current promotion of health behaviours and carer perceptions were explored through multivariate regression analysis in 2016. A majority of respondents promoted fruit and vegetable consumption (63.8%), physical activity (60.3%), quitting smoking (56.3%), and reducing alcohol consumption (56.2%) to the person they cared for. A perception that it was 'very important' to have a positive influence on these behaviours was positively related with promotion of each of the four behaviours, with those holding such a view being more likely to promote such behaviours, than those who did not (odds ratio: 9.47¿24.13, p¿<¿0.001). The majority (56.2%¿63.8%) of carers reported promoting the health behaviours of those they cared for, demonstrating a need and opportunity to build the capacity of carers to contribute to reducing the health risk behaviours among people with a mental illness.

Objective To examine the effect of universal, school-based, resilience-focused interventions on mental health problems in children and adolescents. Method Eligible studies were randomized controlled trials (RCTs) of universal, school-based interventions that included strategies to strengthen a minimum of 3 internal resilience protective factors, and included an outcome measure of mental health problems in children and adolescents aged 5 to 18 years. Six databases were searched from 1995 to 2015. Results were pooled in meta-analyses by mental health outcome (anxiety symptoms, depressive symptoms, hyperactivity, conduct problems, internalizing problems, externalizing problems, and general psychological distress), for all trials (5-18 years). Subgroup analyses were conducted by age (child: 5-10 years; adolescent: 11-18 years), length of follow-up (short: post-=12 months; long: >12 months), and gender (narrative). Results A total of 57 included trials were identified from 5,984 records, with 49 contributing to meta-analyses. For all trials, resilience-focused interventions were effective relative to a control in reducing 4 of 7 outcomes: depressive symptoms, internalizing problems, externalizing problems, and general psychological distress. For child trials (meta-analyses for 6 outcomes), interventions were effective for anxiety symptoms and general psychological distress. For adolescent trials (meta-analyses for 5 outcomes), interventions were effective for internalizing problems. For short-term follow-up, interventions were effective for 2 of 7 outcomes: depressive symptoms and anxiety symptoms. For long-term follow-up (meta-analyses for 5 outcomes), interventions were effective for internalizing problems. Conclusion The findings may suggest most promise for using universal resilience-focused interventions at least for short-term reductions in depressive and anxiety symptoms for children and adolescents, particularly if a cognitive-behavioral therapy-based approach is used. The limited number of trials providing data amenable for meta-analysis for some outcomes and subgroups, the variability of interventions, study quality, and bias mean that it is not possible to draw more specific conclusions. Identifying what intervention qualities (such as number and type of protective factor) achieve the greatest positive effect per mental health problem outcome remains an important area for future research. Systematic review protocol and registration Systematic Review of Universal Resilience Interventions Targeting Child and Adolescent Mental Health in the School Setting; http://dx.doi.org/10.1186/s13643-015-0172-6; PROSPERO CRD42015025908.

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.

Background: Primary care nurses and allied health clinicians are potential providers of opportunistic preventive care. This systematic review aimed to summarise evidence for the effectiveness of practice change interventions in increasing nurse or allied health professional provision of any of five preventive care elements (ask, assess, advise, assist, and/or arrange) for any of four behavioural risks (smoking, inadequate nutrition, alcohol overconsumption, physical inactivity) within a primary care setting. Methods: A search of Medline, Embase, PsycInfo, and CINAHL databases was undertaken to locate controlled intervention trials published between 1992 and May 2014 that provided practice change interventions to primary care nurses and/or allied health professionals to increase preventive care. The effect of interventions aimed at increasing the provision of any of the five care elements for any of the four behavioural risks was examined. A narrative synthesis was utilised. Results: From 8109 articles, seven trials met the inclusion criteria. All trials bar one, assessed multi-strategic practice change interventions (three to five strategies) focused on care by nurses (six trials) or mixed nursing/allied health clinicians. One trial examined care provision for all four risks, five trials examined care for smoking only, and one trial examined care for alcohol consumption only. For the six trials reporting significance testing (excludes one smoking care trial), significant effects favouring the intervention group were reported in at least one trial for smoking risk assessment (2/4 trials reported an effect for at least one analysis of an assessment outcome), brief advice (2/3), assistance (2/2), and arranging referral (2/3); alcohol risk assessment (1/2) and brief advice (1/2); inadequate nutrition risk assessment (1/1); and physical inactivity risk assessment and brief advice (1/1). When the number of analyses undertaken within trials focusing on smoking care was considered, the results were less promising (e.g. of the 15 analyses conducted on brief advice variables across three trials, four showed a positive effect). Conclusions: Evidence for the effect of practice change interventions on preventive care by primary care nurses or allied health providers is inconclusive given the small number of trials and inconsistency of results between and within trials. Systematic review registration number: None.

Introduction: People with substance use problems have a higher prevalence of modifiable health risk behaviors. Routine clinician provision of preventive care may be effective in reducing such health behaviors. This study aimed to examine clinician provision of preventive care to clients of community substance use treatment services. Methods: A cross-sectional survey was undertaken with 386 clients and 54 clinicians of community substance use treatment services in one health district in New South Wales, Australia. Client- and clinician-reported provision of three elements of care (assessment, brief advice and referral) for three health risk behaviors (tobacco smoking, insufficient fruit and/or vegetable consumption and insufficient physical activity) was assessed, with associations with client characteristics examined. Results: Provision was highest for tobacco smoking assessment (90% client reported, 87% clinician reported) and brief advice (79% client reported, 80% clinician reported) and lowest for fruit and vegetable consumption (assessment 23%, brief advice 25%). Few clients reported being offered a referral (<. 10%). Assessment of physical activity and brief advice for all behaviors was higher for clients residing in rural/remote areas. Conclusion: Assessment and brief advice were provided to the majority of clients for smoking, but sub-optimally for the other behaviors. Further investigation of barriers to the provision of preventive care within substance use treatment settings is required, particularly for referral to ongoing support.

The implementation of smoke-free policies in inpatient psychiatric facilities, including patient adherence, mental health nursing staff support, and provision of nicotine-dependence treatment to patients, has been reported to be poor. The extent to which the quality of smoke-free policy implementation is associated with patient views of a policy is unknown. We conducted a cross-sectional survey of 181 patients (53.6%, n = 97 smokers; and 46.4%, n = 84 non-smokers) in an Australian inpatient psychiatric facility with a total smoke-free policy. Smokers' adherence to the policy was poor (83.5% smoked). Only half (53.6%) perceived staff to be supportive of the policy. Most smokers used nicotine-replacement therapy (75.3%); although few received optimal nicotine-dependence treatment (19.6%). Overall, 45.9% of patients viewed the smoke-free policy in the unit as positive (29.9% smokers; 64.3% non-smokers). For smokers, adhering to the ban, perceiving staff to be supportive, and reporting that the nicotine-replacement therapy reduced cravings to smoke were associated with a more positive view towards the smoke-free policy. These findings support the importance of patient adherence, mental health nursing staff support, and adequate provision of nicotine-dependence treatment in strengthening smoke-free policy implementation in inpatient psychiatric settings.

Objective: Compared with the general population, people with a mental illness have a greater prevalence of behaviors that contribute to higher chronic disease rates. Mental health clinical guidelines recommend preventive care to address such behaviors; however, little information is available about whether clients consider preventive care acceptable or about the prevalence of such care in mental health services. This article describes acceptability and receipt of assessment, advice, and referral for smoking, inadequate fruit and vegetable consumption, harmful alcohol consumption, and physical inactivity, as reported by community mental health service clients. The association between preventive care, diagnosis, and number of clinical appointments was examined. Methods: A cross-sectional telephone interview was conducted with clients (N=558) of community mental health services in Australia. Results: Although preventive care was highly acceptable to clients (86%297%), receipt of preventive care was low. Client receipt of risk assessment ranged from 26% (assessment of fruit or vegetable intake) to 76% (assessment of alcohol consumption). The proportion of clients at risk of and assessed for unhealthy behavior who then received brief advice ranged from 69% (fruit or vegetable intake) to 85% (physical activity), whereas only 38% (alcohol consumption) to 49% (smoking) received any referral. A greater number of mental health appointments were associated with higher prevalence of preventive care, as were diagnoses of diabetes or respiratory conditions and not having a schizophrenia diagnosis. Conclusions: Practice change strategies are required to increase the delivery of routine preventive care within mental health services if clients are to benefit from clinical guidelines.

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/

Background People with a mental illness have higher prevalence of behavioral risks for chronic disease than the general population. Despite recommendations regarding the provision of preventive care by mental health services, limited research has examined the extent to which such care is provided.

Background: Although primary care nurse and allied health clinician consultations represent key opportunities for the provision of preventive care, it is provided suboptimally. Purpose: To assess the effectiveness of a practice change intervention in increasing primary care nursing and allied health clinician provision of preventive care for four health risks. Design: Two-group (intervention versus control), non-randomized controlled study assessing the effectiveness of the intervention in increasing clinician provision of preventive care. Setting/participants: Randomly selected clients from 17 primary healthcare facilities participated in telephone surveys that assessed their receipt of preventive care prior to (September 2009-2010, n=876) and following intervention (October 2011-2012, n=1,113). Intervention: The intervention involved local leadership and consensus processes, electronic medical record system modification, educational meetings and outreach, provision of practice change resources and support, and performance monitoring and feedback. Main outcome measures: The primary outcome was differential change in client-reported receipt of three elements of preventive care (assessment, brief advice, referral/follow-up) for each of four behavioral risks individually (smoking, inadequate fruit and vegetable consumption, alcohol overconsumption, physical inactivity) and combined. Logistic regression assessed intervention effectiveness. Results: Analyses conducted in 2013 indicated significant improvements in preventive care delivery in the intervention compared to the control group from baseline to follow-up for assessment of fruit and vegetable consumption (+23.8% vs -1.5%); physical activity (+11.1% vs -0.3%); all four risks combined (+16.9% vs -1.0%) and for brief advice for inadequate fruit and vegetable consumption (+19.3% vs -2.0%); alcohol overconsumption (+14.5% vs -8.9%); and all four risks combined (+14.3% vs +2.2%). The intervention was ineffective in increasing the provision of the remaining forms of preventive care. Conclusions: The intervention's impact on the provision of preventive care varied by both care element and risk type. Further intervention is required to increase the consistent provision of preventive care, particularly referral/follow-up.