Self-reported suboptimal sleep and receipt of sleep assessment and treatment among persons with and without a mental health condition in Australia: a cross sectional study.

BACKGROUND: Poor sleep and poor mental health go hand in hand and, together, can have an adverse impact on physical health. Given the already disproportionate physical health inequities experienced by people with a mental health condition worldwide, the need to consider and optimise sleep has been highlighted as a means of improving both physical and mental health status. Sleep recommendations recently developed by the United States' National Sleep Foundation incorporate a range of sleep parameters and enable the identification of 'suboptimal' sleep. Among community-dwelling persons with and without a 12-month mental health condition in Australia, this study reports: [1] the prevalence of 'suboptimal' sleep and [2] rates of sleep assessment by a health care clinician/service and receipt of and desire for sleep treatment. METHODS: A descriptive study (N = 1265) was undertaken using self-report data derived from a cross-sectional telephone survey of Australian adults, undertaken in 2017. RESULTS: Fifteen per cent (n = 184) of participants identified as having a mental health condition in the past 12 months. Across most (7 of 8) sleep parameters, the prevalence of suboptimal sleep was higher among people with a mental health condition, compared to those without (all p < 0.05). The highest prevalence of suboptimal sleep for both groups was seen on measures of sleep duration (36-39% and 17-20% for people with and without a mental health condition, respectively). In terms of sleep assessment and treatment, people with a mental health condition were significantly more likely to: desire treatment (37% versus 16%), have been assessed (38% versus 12%) and have received treatment (30% versus 7%). CONCLUSIONS: The prevalence of suboptimal sleep among persons with a mental health condition in Australia is significantly higher than those without such a condition, and rates of assessment and treatment are low for both groups, but higher for people with a mental health condition. Population health interventions, including those delivered as part of routine health care, addressing suboptimal sleep are needed.

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.

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.

Factors associated with retention in a smoking cessation trial for persons with a mental illness: a descriptive study.

BACKGROUND: Exploring factors associated with retention in randomised trials provides insight into potential threats to internal and external study validity, and may inform the development of interventions to increase retention in future trials. Given a paucity of existing research in the field, a study was conducted to explore factors associated with retention in a smoking intervention trial involving persons with a mental illness, considering demographic and smoking characteristics, treatment condition and engagement in prior follow-up assessments. METHOD: A descriptive study was undertaken using data derived from a RCT of a smoking cessation intervention initiated in four adult psychiatric inpatient units in New South Wales (NSW), Australia. Retention assessment was undertaken at 1, 6 and 12-months post-discharge. A Generalised Linear Mixed Model was adopted to explore associations between retention at any follow up time point and demographic and smoking characteristics. Chi square analyses explored the association between retention at all follow up time points and treatment condition, and binary logistic regression analyses assessed for relationships between retention at 12-month follow up and engagement in prior follow up assessments. RESULTS: Retention rates were 63, 56 and 60% at the 1, 6 and 12-month assessments, respectively. No association was found between retention at any follow-up time point and 13 of 15 demographic and smoking characteristics. Younger participants and those who identified to be Aboriginal and/or Torres Strait Islander were more likely to be retained (both ps > 0.05). Retention rates did not vary according to treatment condition at any follow-up time point. Participants who completed a prior assessment were more likely to complete the 12 month assessment (both prior assessments: OR 10.7, p < 0.001; 6 month assessment: OR 6.01, p < 0.001; and 1 month assessment: OR 1.8, p = 0.002). CONCLUSION: The underrepresentation of younger participants and those identifying to be Aboriginal and/or Torres Strait Islander may limit the generalisability of findings. Findings suggest that inclusion of multiple contacts during a trial follow up period may increase retention at the final assessment. Interventions to improve retention, overall and for those sub-groups less likely to be retained, in smoking trials involving persons with a mental illness are needed. Further assessment of sample characteristics, and also trial design factors, associated with retention in this field is warranted.

Smoking and Mental Illness: A Bibliometric Analysis of Research Output Over Time.

INTRODUCTION: The prevalence of smoking among persons with a mental illness has remained unchanged, being 2-3 times higher than the general population in high-income countries. Assessment of the volume and characteristics of research output over time can assist in identifying research priorities to promote progress within a field. The aim of this study was to undertake such an assessment in the field of smoking and mental illness. METHODS: A descriptive repeat cross-sectional study was conducted of peer-reviewed publications in Medline and PsycINFO for the periods 1993-1995, 2003-2005, and 2013-2015. Publications were classified as data- or non-data-based; data-based publications were further categorized by study type, population, setting, and for intervention-focused publications by level of evidence and research translation phase. RESULTS: Included were 547 articles published in 1993-1995 (n = 65), 2003-2005 (n = 153), and 2013-2015 (n = 329). The number and proportion of data-based publications significantly increased over time, although their focus remained predominantly descriptive (≥83%); less than 14% of publications in any period had an intervention focus. The proportion of publications reporting on study populations with multiple diagnostic categories and recruiting from nonmental health settings, significantly increased from 1993-1995 to 2003-2005, however then plateaued by 2013-2015. The level of evidence provided by intervention-focused publications was suggested to increase over time, however there was no evident variation in translation phase. CONCLUSIONS: Research has increased over time to characterize smoking among those with a mental illness; however more is needed to inform the development and implementation of effective cessation interventions for this group. IMPLICATIONS: This is the first study to examine the volume and characteristics of research publications in the field of smoking and mental illness over time. The number of publications increased fivefold between 1993-1995 and 2013-2015. Between 1993-1995 and 2003-2005, progression was also indicated by increased: data-based publications, diagnostic diversity of samples, and variation in study settings; however further increases in such measures were not evident in 2013-2015. Notably, it continues to be the case that few intervention studies are undertaken. To achieve meaningful changes in the smoking prevalence of this group, a greater focus on research that assesses the effectiveness and implementation of tailored cessation interventions is required.

Effectiveness of a clinical practice change intervention in increasing the provision of nicotine dependence treatment in inpatient psychiatric facilities: an implementation trial.

BACKGROUND: Despite clinical practice guidelines recommending the routine provision of nicotine dependence treatment to smokers in inpatient psychiatric facilities, the prevalence of such treatment provision is low. The aim of this study was to examine the effectiveness of a clinical practice change intervention in increasing clinician recorded provision of nicotine dependence treatment to patients in inpatient psychiatric facilities. METHODS: We undertook an interrupted time series analysis of nicotine dependence treatment provision before, during and after a clinical practice change intervention to increase clinician recorded provision of nicotine dependence treatment for all hospital discharges (aged >18 years, N = 4175) over a 19 month period in two inpatient adult psychiatric facilities in New South Wales, Australia. The clinical practice change intervention comprised six key strategies: leadership and consensus, enabling systems and procedures, training and education, information and resources, audit and feedback and an on-site practice change support officer. Systematic medical record audit and segmented logistic regression was used to determine differences in proportions for each nicotine dependence treatment outcome measure between the 'pre', 'during' and 'post-intervention' periods. RESULTS: The prevalence of all five outcome measures increased significantly between the pre and post-intervention periods, including clinician recorded: assessment of patient smoking status (36.43 to 51.95%; adjusted odds ratio [AOR] = 2.39, 99% Confidence Interval [CI]: 1.23 to 4.66); assessment of patient nicotine dependence status (4.74 to 11.04%; AOR = 109.67, 99% CI: 35.35 to 340.22); provision of brief advice to quit (0.85 to 8.81%; AOR = 97.43, 99% CI: 31.03 to 306.30); provision of nicotine replacement therapy (8.06 to 26.25%; AOR = 19.59, 99% CI: 8.17 to 46.94); and provision of nicotine dependence treatment on discharge (8.82 to 13.45%, AOR = 12.36; 99% CI: 6.08 to 25.14). CONCLUSIONS: This is the first study to provide evidence that a clinical practice change intervention may increase clinician recorded provision of nicotine dependence treatment in inpatient psychiatric settings. The intervention offers a mechanism for psychiatric facilities to increase the provision of nicotine dependence treatment in accordance with clinical guidelines.

Efficacy of a universal smoking cessation intervention initiated in inpatient psychiatry and continued post-discharge: A randomised controlled trial.

OBJECTIVE: Interventions are required to redress the disproportionate tobacco-related health burden experienced by persons with a mental illness. This study aimed to assess the efficacy of a universal smoking cessation intervention initiated within an acute psychiatric inpatient setting and continued post-discharge in reducing smoking prevalence and increasing quitting behaviours. METHOD: A randomised controlled trial was undertaken across four psychiatric inpatient facilities in Australia. Participants ( N = 754) were randomised to receive either usual care ( n = 375) or an intervention comprising a brief motivational interview and self-help material while in hospital, followed by a 4-month pharmacological and psychosocial intervention ( n = 379) upon discharge. Primary outcomes assessed at 6 and 12 months post-discharge were 7-day point prevalence and 1-month prolonged smoking abstinence. A number of secondary smoking-related outcomes were also assessed. Subgroup analyses were conducted based on psychiatric diagnosis, baseline readiness to quit and nicotine dependence. RESULTS: Seven-day point prevalence abstinence was higher for intervention participants (15.8%) than controls (9.3%) at 6 months post-discharge (odds ratio = 1.07, p = 0.04), but not at 12 months (13.4% and 10.0%, respectively; odds ratio = 1.03, p = 0.25). Significant intervention effects were not found on measures of prolonged abstinence at either 6 or 12 months post-discharge. Differential intervention effects for the primary outcomes were not detected for any subgroups. At both 6 and 12 months post-discharge, intervention group participants were significantly more likely to smoke fewer cigarettes per day, have reduced cigarette consumption by ⩾50% and to have made at least one quit attempt, relative to controls. CONCLUSIONS: Universal smoking cessation treatment initiated in inpatient psychiatry and continued post-discharge was efficacious in increasing 7-day point prevalence smoking cessation rates and related quitting behaviours at 6 months post-discharge, with sustained effects on quitting behaviour at 12 months. Further research is required to identify strategies for achieving longer term smoking cessation.

Smoking and environmental characteristics of smokers with a mental illness, and associations with quitting behaviour and motivation; a cross sectional study.

BACKGROUND: Persons with a mental illness are less likely to be successful in attempts to quit smoking. A number of smoking and environmental characteristics have been shown to be related to quitting behaviour and motivation of smokers generally, however have been less studied among smokers with a mental illness. This study aimed to report the prevalence of smoking characteristics and a variety of physical and social environmental characteristics of smokers with a mental illness, and explore their association with quitting behaviour and motivation. METHODS: A cross-sectional descriptive study was undertaken of 754 smokers admitted to four psychiatric inpatient facilities in Australia. Multivariable logistic regression analyses were undertaken to explore the association between smoking and environmental characteristics and recent quitting behaviour and motivation. RESULTS: Participants were primarily daily smokers (93 %), consumed >10 cigarettes per day (74 %), and highly nicotine dependent (51 %). A third (32 %) lived in a house in which smoking was permitted, and 44 % lived with other smokers. The majority of participants believed that significant others (68-82 %) and health care providers (80-91 %) would be supportive of their quitting smoking. Reflecting previous research, the smoking characteristics examined were variously associated with quitting behaviour and motivation. Additionally, participants not living with other smokers were more likely to have quit for a longer duration (OR 2.02), and those perceiving their psychiatrist to be supportive of a quit attempt were more likely to have had more quit attempts in the past six months (OR 2.83). CONCLUSIONS: Modifiable characteristics of the physical and social environment, and of smoking, should be considered in smoking cessation interventions for persons with a mental illness.

Uptake of smoking cessation aids by smokers with a mental illness.

Psychiatric inpatient settings represent an opportunity to initiate the provision of tobacco cessation care to smokers with a mental illness. This study describes the use of evidence-based smoking cessation aids proactively and universally offered to a population of psychiatric inpatients upon discharge, and explores factors associated with their uptake. Data derived from the conduct of a randomised controlled trial were analysed in terms of the proportion of participants (N = 378) that utilised cessation aids including project delivered telephone smoking cessation counselling and nicotine replacement therapy (NRT), and Quitline support. Factors associated with uptake of cessation aids were explored using multivariable logistic regression analyses. A large proportion of smokers utilised project delivered cessation counselling calls (89 %) and NRT (79 %), while 11 % used the Quitline. The majority accepted more than seven project delivered telephone cessation counselling calls (52 %), and reported NRT use during more than half of their accepted calls (70 %). Older age, higher nicotine dependence, irregular smoking and seeing oneself as a non-smoker were associated with uptake of behavioural cessation aids. Higher nicotine dependence was similarly associated with use of pharmacological aids, as was NRT use whilst an inpatient. Most smokers with a mental illness took up a proactive offer of aids to support their stopping smoking. Consideration by service providers of factors associated with uptake may increase further the proportion of such smokers who use evidence-based cessation aids and consequently quit smoking successfully.

Impact of a postdischarge smoking cessation intervention for smokers admitted to an inpatient psychiatric facility: a randomized controlled trial.

INTRODUCTION: Persons with a mental disorder smoke at higher rates and suffer disproportionate tobacco-related burden compared with the general population. The aim of this study was to determine if a smoking cessation intervention initiated during a psychiatric hospitalization and continued postdischarge was effective in reducing smoking behaviors among persons with a mental disorder. METHODS: A randomized controlled trial was conducted at an Australian inpatient psychiatric facility. Participants were 205 patient smokers allocated to a treatment as usual control (n = 101) or a smoking cessation intervention (n = 104) incorporating psychosocial and pharmacological support for 4 months postdischarge. Follow-up assessments were conducted at 1 week, 2, 4, and 6 months postdischarge and included abstinence from cigarettes, quit attempts, daily cigarette consumption, and nicotine dependence. RESULTS: Rates of continuous and 7-day point prevalence abstinence did not differ between treatment conditions at the 6-month follow-up; however, point prevalence abstinence was significantly higher for intervention (11.5%) compared with control (2%) participants at 4 months (OR = 6.46, p = .01). Participants in the intervention condition reported significantly more quit attempts (F[1, 202.5] = 15.23, p = .0001), lower daily cigarette consumption (F[4, 586] = 6.5, p < .001), and lower levels of nicotine dependence (F[3, 406] = 8.5, p < .0001) compared with controls at all follow-up assessments. CONCLUSIONS: Postdischarge cessation support was effective in encouraging quit attempts and reducing cigarette consumption up to 6 months postdischarge. Additional support strategies are required to facilitate longer-term cessation benefits for smokers with a mental disorder.

The impact of a smoke-free psychiatric hospitalization on patient smoking outcomes: a systematic review.

OBJECTIVE: Smoke-free policies have been introduced in inpatient psychiatric facilities in most developed nations. Such a period of supported abstinence during hospitalization may impact smoking behaviours post discharge, yet little quantitative evidence exists. The aim of this review was to provide the first synthesis of the research evidence examining the impact of a smoke-free psychiatric hospitalization on patients' smoking-related behaviours, motivation, and beliefs. METHODS: We conducted a systematic review of electronic databases PubMed, MEDLINE, PsycINFO, and EMBASE from inception to June 2013. Studies were included if they were conducted in an inpatient psychiatric facility with a smoke-free policy and if they examined any change in patients' smoking-related behaviours, motivation, or beliefs either during admission, post discharge, or both. Risk of bias was assessed using the Cochrane Collaboration Risk of Bias Tool. RESULTS: Fourteen studies were included in the review. Of the four studies that assessed change in smoking from admission to post discharge, two indicated a significant decline in cigarette consumption up to 3 months post discharge. Positive changes in motivation to quit and beliefs about quitting ability were identified in two studies. One study reported an increase in the rate of quit attempts and one reported a decline in nicotine dependence levels. CONCLUSIONS: A smoke-free psychiatric hospitalization may have a positive impact on patients' smoking-related behaviours, motivation, and beliefs, both during admission and up to 3 months post discharge. Further controlled studies with more rigorous designs are required to confirm this potential.

Use of Insomnia Treatments and Discussions About Sleep with Health Professionals Among Australian Adults with Mental Health Conditions.

Background: Insomnia is a common issue among individuals with mental health conditions, yet the frequency of insomnia treatment remains unclear. The purpose of this study was to investigate the prevalence of probable insomnia, discussions regarding sleep with health professionals, and the utilisation of commonly delivered insomnia treatments in Australian adults diagnosed with mental health conditions. Methods: This study represents a secondary analysis of data collected through a cross-sectional, national online survey conducted in 2019. A subset included participants (n = 624, age 18-85y) who self-reported a diagnosis of depression, bipolar disorder, anxiety, panic disorder, or post-traumatic stress disorder. Participants were classed as having probable insomnia based on self-reported symptoms and a minimum availability of 7.5 hours in bed. Results: Among individuals with probable insomnia (n = 296, 47.4%), 64.5% (n = 191) reported discussing sleep with one or more health professionals, predominantly with general practitioners (n = 160, 83.8%). However, 35.4% (n = 105) of people with probable insomnia had not discussed their sleep with a health professional. Additionally, 35.1% (n = 104) used prescribed medication for sleep, while only 15.9% (n = 47) had used the first line recommended treatment of cognitive-behavioral therapy for insomnia in the last 12 months. Conclusion: Although most participants who met the criteria for probable insomnia had engaged in discussions about sleep with health professionals, utilisation of first line recommended treatment was low. Interventions that promote routine assessment of sleep and first line treatment for insomnia by health professionals would likely benefit people with mental health conditions.

Prevalence of self-reported suboptimal sleep in Australia and receipt of sleep care: results from the 2017 National Social Survey.

OBJECTIVES: The National Sleep Foundation's (NSFs) sleep duration recommendations and quality indicators enable trichotomous classification of sleep parameters as 'appropriate', 'may be appropriate' or 'inappropriate', with the latter representing 'suboptimal' sleep. This study reports the prevalence of self-reported suboptimal sleep and associated demographics in a large sample of Australian adults. In addition, reported are rates of suboptimal sleep assessment by health-care clinicians/services and receipt of and desire for sleep care, and their associations with suboptimal sleep. DESIGN/SETTING/PARTICIPANTS: A descriptive study (N = 1265) was undertaken using data derived from a cross-sectional telephone survey of Australian adults undertaken in 2017. MEASUREMENT/ANALYSIS: Descriptive statistics summarised the prevalence of suboptimal sleep, and chi-square and multivariable logistic regression analyses explored associations between suboptimal sleep, demographics and receipt of/interest in sleep care. RESULTS: Almost half of participants (42%) were considered to have suboptimal sleep: 19% met criteria on one parameter, 13% on 2, 11% on ≥3. The highest prevalence of suboptimal sleep was seen on measures of sleep duration (20%-23%). Participants who were single, female, middle-aged (26-64) and of low socioeconomic status were more likely to experience suboptimal sleep (p<0.01). Rates of assessment and treatment are currently suboptimal: 16% reported their sleep had been assessed and 10% received at least one element of sleep care, most commonly pharmacotherapy (43%). CONCLUSIONS: Suboptimal sleep is prevalent in Australia, and rates of assessment and treatment are currently low. Finding supports the need for a coordinated population health strategy to improve the sleep health of Australians.

Uptake of a preventive care consultation offered to clients of a community mental health service.

Preventive care to address client chronic disease risks is not frequently provided in community mental health services. Offering clients an additional preventive care consultation has been shown to increase client receipt of such care. The ability of this approach to have a beneficial impact at the population level is however dependent on its level of acceptability and uptake among clients. No studies have previously reported these outcomes when the additional consultation is universally offered to all clients of a community mental health service. To address this evidence gap, this descriptive study was undertaken to determine community mental health clients' (1) reported acceptability, in principle, of such a model of care, (2) of those who were offered the additional consultation, the level of uptake, and (3) clinical and socio-demographic characteristics associated with uptake. Participants were clients of one community mental health service in Australia. Data were collected in 2017 by telephone interviews and study records. Data from three distinct participant sub-groups are reported. In response to a hypothetical question, 79.3% of participants (n = 157) agreed that an offer of an additional preventive care consultation would be acceptable (Aim 1). Of the participants who were offered such a consultation (n = 264), 37.8% took up the offer (Aim 2); and no clinical or sociodemographic characteristics were significantly associated with uptake (Aim 3). Findings support the feasibility of this model of care. However, further research is needed to identify barriers to uptake, and effective strategies to enhance consultation uptake. Trial registration: ACTRN12616001519448.

Providing physical health care for people accessing mental health services: Clinicians' perceptions of their role.

The prevalence of health risk behaviours and associated poor physical health is high in people with severe mental illness. Mental health service guidelines and policies stipulate that mental health services should address physical health of people who access services. This study reports results from a large, interdisciplinary, cross-sectional study exploring mental health clinicians' (n = 385) views of role legitimacy in physical health service provision. All disciplines reported that mental health clinicians have a role to play in addressing the physical health of consumers. Among mental health clinicians, psychiatrists and mental health nurses received higher endorsement than allied health clinicians in relation to the provision of physical health care, with primary care providers including general practitioners also ranking highly. As community mental health services routinely appoint allied health staff to case management roles, a challenge for services and a challenge for clinicians are to ensure that physical health and the effects of medication are monitored appropriately and systematically. Online and telephone support services received relatively lower endorsement. As the availability of nonface to face services increases, there is a need to explore their utility in this population and where appropriate promote their uptake.

Systematic review and meta-analysis of the provision of preventive care for modifiable chronic disease risk behaviours by mental health services.

People with mental illness experience increased chronic disease burden, contributed to by a greater prevalence of modifiable chronic disease risk behaviours. Policies recommend mental health services provide preventive care for such risk behaviours. Provision of such care has not previously been synthesised. This review assessed the provision of preventive care for modifiable chronic disease risk behaviours by mental health services. Four databases were searched from 2006 to 2017. Eligible studies were observational quantitative study designs conducted in mental health services, where preventive care was provided to clients for tobacco smoking, harmful alcohol consumption, inadequate nutrition, or inadequate physical activity. Two reviewers independently screened studies, conducted data extraction and critical appraisal. Results were pooled as proportions of clients receiving or clinicians providing preventive care using random effects meta-analyses, by risk behaviour and preventive care element (ask/assess, advise, assist, arrange). Subgroup analyses were conducted by mental health service type (inpatient, outpatient, other/multiple). Narrative synthesis was used where meta-analysis was not possible. Thirty-eight studies were included with 26 amenable to meta-analyses. Analyses revealed that rates of assessment were highest for smoking (78%, 95% confidence interval [CI]:59%-96%) and lowest for nutrition (17%, 95% CI:1%-35%); with variable rates of care provision for all behaviours, care elements, and across service types, with substantial heterogeneity across analyses. Findings indicated suboptimal and variable provision of preventive care for modifiable chronic disease risk behaviours in mental health services, but should be considered with caution due to the very low quality of cumulative evidence. PROSPERO registration: CRD42016049889.

Patient receipt of smoking cessation care in four Australian acute psychiatric facilities.

This study aimed to report the receipt of smoking care, and associated clinical and smoking characteristics among smokers admitted to four public psychiatric inpatient facilities in New South Wales, Australia. Between October 2012 and July 2014, adult smokers (N = 236) were surveyed during admission to and 1 month following discharge from the facilities. Measures of smoking care receipt were reported descriptively, and logistic regression analyses were used to explore characteristics associated with care receipt. The majority of participants were offered (78%) and used (78%) nicotine replacement therapy (NRT), with 66% of NRT-users reporting the amount provided was sufficient to reduce cravings. A minority of participants (16%) received information or advice to quit smoking, and 60% reported smoking throughout their admission. Patients not contemplating quitting and those with non-psychotic disorders were more likely to receive an offer of NRT. The findings suggest the provision of smoking care in Australian acute psychiatric units is sub-optimal overall, with an indication that care may be provided selectively to certain patients, rather than systematically to all. Development and dissemination of interventions to increase smoking care provision in inpatient psychiatry are needed.

Implementation of a smoke-free policy in an inpatient psychiatric facility: Patient-reported adherence, support, and receipt of nicotine-dependence treatment.

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.

Community-based alcohol counselling: a randomized clinical trial.

AIMS: To examine the effectiveness of a brief intervention (BI) and cognitive behaviour therapy (CBT) for alcohol abuse. DESIGN: A randomized trial with clients randomized within counsellors. SETTING: Community-based drug and alcohol counselling in Australia. PARTICIPANTS: Of all new clients attending counselling. 869 (82%) completed a computerized assessment at their first consultation. Four hundred and twenty-one (48%) were defined as eligible, of whom 295 (70%) consented and were allocated randomly to an intervention. Of these, 13 3 (45%) were followed-up at 6 months post-test. INTERVENTIONS: BI comprised the elements identified by the acronym FRAMES:feedback, responsibility, advice, menu, empathy, self-efficacy. Face-to-face counselling time was not to exceed 90 minutes. CBT comprised six consecutive weekly sessions: introduction: cravings and urges; managing crises; saying 'no' and solving problems: emergencies and lapses: and maintenance. Total face-to-face counselling time was 270 minutes (six 45-minute sessions). MEASUREMENTS: Treatment outcomes are measured in terms of counsellor compliance, client satisfaction, weekly and binge consumption, alcohol-related problems, the AUDIT questionnaire and cost-effectiveness. FINDINGS: When analysed on an intention-to-treat basis and for those followed-up. treatment outcomes between BI and CBT were not statistically significantly different at pre- or post-test, whether considered as continuous or categorical variables. BI was statistically significantly more cost-effective than CBT and there was no difference between them in clients' reported levels of satisfaction. CONCLUSION: For low-dependence alcohol abuse in community settings, BI may be the treatment of choice.