Qualitative analysis of social network influences on quitting smoking among individuals with serious mental illness

Social networks of people with serious mental illness who smoke: potential role in a smoking cessation intervention

BACKGROUND

Smoking is a major contributor to morbidity and mortality among individuals with serious mental illness (SMI) and social networks may play an important role in smoking behaviors.

AIMS

Our objectives were to (1) describe the network characteristics of adults with SMI who smoke tobacco (2) explore whether network attributes were associated with nicotine dependence.

METHODS

We performed a secondary analysis of baseline data from a tobacco smoking cessation intervention trial among 192 participants with SMI. A subgroup (n = 75) completed questions on the characteristics of their social network members. The network characteristics included network composition (e.g. proportion who smoke) and network structure (e.g. density of connections between members). We used multilevel models to examine associations with nicotine dependence.

RESULTS

Participant characteristics included: a mean age 50 years, 49% women, 48% Black, and 41% primary diagnosis of schizophrenia/schizoaffective disorder. The median personal network proportion of active smokers was 22%, active quitters 0%, and non-smokers 53%. The density of ties between actively smoking network members was greater than between non-smoking members (55% vs 43%, p = .02). Proportion of network smokers was not associated with nicotine dependence.

CONCLUSIONS

We identified potential social network challenges and assets to smoking cessation and implications for network interventions among individuals with SMI.

Barriers to smoking interventions in community healthcare settings: a scoping review

Smoking is one of the major causes of preventable death and is considered the greatest threat to global public health. While the prevalence of smoking has decreased, population growth has led to an increase in the absolute number of smokers. There are many proven smoking cessation interventions available to support smokers in their quit attempts. Most people who smoke, however, underutilize the treatments available to them. This scoping review aimed to identify the current barriers experienced by all stakeholders (smokers, service providers and policymakers) to existing evidence-based smoking cessation interventions in community healthcare settings. Five electronic databases (CINAHL, Ovid MEDLINE, PsycINFO, Scopus and Web of Science) were searched for relevant literature. A total of 40 eligible articles from different countries published between 2015 and 2022 were included in the review and content analysis carried out to identify the key barriers to smoking cessation interventions. Seven key themes were found to be common to all stakeholders: (i) literacy, (ii) competing demands and priorities, (iii) time, (iv) access to product, (v) access to service, (vi) workforce and (vii) motivation/readiness. These themes were mapped to the Capability, Opportunity, Motivation-Behaviour (COM-B) model. This study presents the effect the barriers within these themes have on current smoking cessation services and highlights priorities for future interventions.

An Examination of the Effectiveness of Smoking Cessation Treatment Interventions for Individuals with Severe Mental Illness: A Pilot Randomized Controlled Trial

To evaluate the effectiveness of two different smoking cessation interventions for individuals with severe mental illness. Study participants (N = 61) randomly assigned to the SC-R group (n = 29) were offered 24 weeks of no cost Nicotine Replacement Treatment (NRT); participants assigned to the SC + group (n = 32) were offered 24 weeks of no cost NRT plus two initial individual counselling sessions of motivational interviewing and weekly psychosocial group support for 24 weeks. At 6 months the smoking cessation outcome was 7% for the SC-R group and 14% for the SC + group, but there was no statistically significant difference between the groups. Both groups showed a significant decrease in the number of cigarettes smoked per day and significant improvement in physical health functioning. Clients with severe mental illness, high prevalence of co-occurring substance use and experience of homelessness, are both interested and able to quit smoking and reduce cigarette use.

Gender Differences in the Interrelations Among Social Support, Stressful Life Events, and Smoking Cessation in People With Severe Mental Illnesses

BACKGROUND

Social support and stressful life events (SLEs) have been found to be influential factors for smoking cessation in the general population, but little is known about these factors among smokers with severe mental illnesses (SMIs) and whether their associations with smoking cessation differ by gender.

AIMS

To examine the association between social support and smoking cessation as mediated by SLEs in people with SMI and to examine whether the interrelations among social support, SLEs, and smoking cessation differ by gender.

METHODS

A population sample of 4,610 American lifetime adult smokers with schizophrenia, bipolar disorder, or major depressive disorder were identified in a limited public use data set of the 2012-2013 National Epidemiologic Survey on Alcohol and Related Conditions. Four mediation and moderated mediation models were used to examine gender differences in the interrelations among social support (total and three subscales of the Interpersonal Support Evaluation List-12), SLEs (summative score of positive responses to 16 types experienced in past year and related to health, job, death, or legal situations), and smoking status in prior year.

RESULTS

Total, appraisal, and tangible support among females exerted indirect effects on smoking cessation via decreasing SLE scores. Among males, only belonging support exerted an indirect effect on smoking cessation via an increased SLE score.

CONCLUSIONS

Findings suggest that interventions focusing on improving social support should be a priority for those working with smokers with SMI.

A smoking cessation intervention for people with severe mental illness treated in ambulatory mental health care (KISMET): study protocol of a randomised controlled trial

BACKGROUND

Smoking among people with severe mental illness (SMI) is highly prevalent and strongly associated with poor physical health. Currently, evidence-based smoking cessation interventions are scarce and need to be integrated into current mental health care treatment guidelines and clinical practice. Therefore, the present study aims to evaluate the implementation and effectiveness of a smoking cessation intervention in comparison with usual care in people with SMI treated by Flexible Assertive Community Treatment (FACT) teams in the Netherlands.

METHODS

A pragmatic, cluster-randomised controlled trial with embedded process evaluation will be conducted. Randomisation will be performed at the level of FACT teams, which will be assigned to the KISMET intervention or a control group (care as usual). The intervention will include pharmacological treatment combined with behavioural counselling and peer support provided by trained mental health care professionals. The intervention was developed using a Delphi study, through which a consensus was reached on the core elements of the intervention. We aim to include a total of 318 people with SMI (aged 18-65 years) who smoke and desire to quit smoking. The primary outcome is smoking status, as verified by carbon monoxide measurements and self-report. The secondary outcomes are depression and anxiety, psychotic symptoms, physical fitness, cardiovascular risks, substance use, quality of life, and health-related self-efficacy at 12 months. Alongside the trial, a qualitative process evaluation will be conducted to evaluate the barriers to and facilitators of its implementation as well as the satisfaction and experiences of both patients and mental health care professionals.

DISCUSSION

The results of the KISMET trial will contribute to the evidence gap of effective smoking cessation interventions for people treated by FACT teams. Moreover, insights will be obtained regarding the implementation process of the intervention in current mental health care. The outcomes should advance the understanding of the interdependence of physical and mental health and the gradual integration of both within the mental health care system.

TRIAL REGISTRATION

Netherlands Trial Register, NTR9783. Registered on 18 October 2021.

Experiences Using Family or Peer Support for Smoking Cessation and Considerations for Support Interventions: A Qualitative Study in Persons With Mental Health Conditions

Background: The current study aimed to understand how people with mental health conditions who currently smoke or recently quit engaged with family members or peers when quitting and assessed interest in involving family or peers in cessation interventions. Methods: Adults with mental health conditions who smoke or had quit within the past 5 years were recruited from publicly funded mental health programs (N = 24). We conducted virtual qualitative interviews between November 2020 and August 2021 and analyzed the data using the rapid thematic analytic approach. Results: Most participants were men (62%), and 71% were current smokers. We found that: having family/peers who were interested in quitting presented communal quitting opportunities, communication that facilitated quitting tended to be encouraging, and strong relationships with family members increased willingness to involve them in cessation interventions. But family or peer support was less helpful for individuals who were not ready to quit. Conclusion: Training family and peers to engage in supportive behaviors may promote cessation in this population. Cessation interventions may benefit from recruiting support partners who share a strong relationship with the smoker.

Examining pathways between family or peer factors and smoking cessation in a nationally representative US sample of adults with mental health conditions who smoke: a structural equation analysis

Background

Supportive family or peer behaviors positively impact smoking cessation in people with mental health problems who smoke. However, the limited understanding of the pathways through which family or peer factors impact quitting limits the development of effective support interventions. This study examined pathways through which family or peer views on tobacco use, family or peer smoking status, and rules against smoking in the home influenced quitting in adults with mental health problems who smoke.

Methods

We used data from the Population Assessment of Tobacco and Health Study, a national longitudinal survey. Baseline data were collected in 2015, and follow-up data in 2016. We included adults’ current smokers who had experienced two or more mental health symptoms in the past year (unweighted n = 4201). Structural equation modeling was used to test the relationships between family and peer factors, mediating factors, and smoking cessation.

Results

We found that having family or peers with negative views on tobacco use had a positive indirect effect on smoking cessation, mediated through the individual’s intention to quit (regression coefficient: 0.19) and the use of evidence-based approaches during their past year quit attempt (regression coefficient: 0.32). Having rules against smoking in the home (regression coefficient: 0.33) and having non-smoking family members or peers (regression coefficient: 0.11) had a positive indirect effect on smoking cessation, mediated through smoking behaviors (regression coefficient: 0.36). All paths were statistically significant (p <  0.01). The model explained 20% of the variability in smoking outcomes.

Conclusion

Family or peer-based cessation interventions that systematically increase intentions to quit and monitor smoking behavior may be able to assess the efficacy of family and peer support on quitting in people with mental health problems who smoke.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-022-13979-z.

Association between family or peer views towards tobacco use and past 30-day smoking cessation among adults with mental health problems

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Adults with mental health problems have a higher prevalence of cigarette smoking.

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Our findings suggest that neutral or positive family or peer views towards tobacco use may deter cessation efforts.

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Efforts to modify views family or peers are needed to improve quit rates in this population.

Adults with mental health problems have a higher prevalence of cigarette smoking. We examined the association between family or peer views towards tobacco use and past 30-day cessation among adult with mental health conditions who smoke.

We used nationally representative data from the Population Assessment of Tobacco and Health Study. We included individuals who currently smoked and reported mental health symptoms over the past year (n = 4201). We used the Global Appraisal of Individual Needs Short Screener questionnaire to assess mental health conditions. Logistic regression models were used to estimate the odds ratios (OR) and 95% confidence intervals (95%CI) in the association between family and peer views towards tobacco use and past 30-day smoking cessation.

Compared to participants who had family or peers with negative views towards tobacco use, those with family or peers with neutral or positive views were 32% less likely (adjusted OR: 0.68, 95%CI: 0.51 – 0.93) to report past 30-day smoking cessation. The association between family/peer views towards tobacco use and smoking cessation was statisitcally significant for individuals with symptoms on the both internalizing and externalizing sub-scales (adjusted OR: 0.62, 95%CI: 0.42 – 0.92), but not for those reporting symptoms on a single sub scale.

Our findings suggest that having family members or peers who hold neutral or positive views towards tobacco use may deter cessation efforts of people with mental health conditions who smoke. Efforts to modify these views are needed to improve quit rates in people with mental health conditions who smoke.

A systematic review of mental health professionals, patients and carers' perceived barriers and enablers to supporting smoking cessation in mental health settings

Introduction

Evidence-based smoking cessation and temporary abstinence interventions to address smoking in mental health settings are available, but the impact of these interventions is limited.

Aims and Methods

We aimed to identify and synthesize the perceived barriers and enablers to supporting smoking cessation in mental health settings. Six databases were searched for articles reporting the investigation of perceived barriers and enablers to supporting smoking cessation in mental health settings. Data were extracted and coded using a mixed inductive/deductive method to the theoretical domains framework, key barriers and enablers were identified through the combining of coding frequency, elaboration, and expressed importance.

Results

Of 31 included articles, 56 barriers/enablers were reported from the perspectives of mental healthcare professionals (MHPs), 48 from patient perspectives, 21 from mixed perspectives, and 0 from relatives/carers. Barriers to supporting smoking cessation or temporary abstinence in mental health settings mainly fell within the domains: environmental context and resources (eg, MHPs lack of time); knowledge (eg, interactions around smoking that did occur were ill informed); social influences (eg, smoking norms within social network); and intentions (eg, MHPs lack positive intentions to deliver support). Enablers mainly fell within the domains: environmental context and resources (eg, use of appropriate support materials) and social influences (eg, pro-quitting social norms).

Conclusions

The importance of overcoming competing demands on staff time and resources, the inclusion of tailored, personalized support, the exploitation of patients wider social support networks, and enhancing knowledge and awareness around the benefits smoking cessation is highlighted.

Implications

Identified barriers and enablers represent targets for future interventions to improve the support of smoking cessation in mental health settings. Future research needs to examine the perceptions of the carers and family/friends of patients in relation to the smoking behavior change support delivered to patients.

Is there an association between perceived social support and cardiovascular health behaviours in people with severe mental illnesses?

PURPOSE

People with severe mental illnesses (SMI) have an increased risk of cardiovascular disease (CVD). Research in the general population suggests that social support may protect against increased CVD morbidity and mortality; however, this may not apply to those with SMI. We aimed to explore the association between perceived social support and attendance at primary care nurse CVD risk reduction clinic appointments and CVD risk-reducing behaviours in an SMI population with elevated CVD risk factors.

METHODS

We used longitudinal and cross-sectional data from a randomised controlled trial on 326 adults with SMI recruited via 76 general practices in England. Multilevel regression analysis estimated the effect of perceived social support on attendance at CVD risk reduction clinic appointments over 6 months, and adherence to CVD medication, physical activity, diet, smoking and alcohol use at baseline, adjusted by age, sex, ethnicity, deprivation, psychiatric diagnosis and employment.

RESULTS

Perceived social support predicted greater appointment attendance in unadjusted (IRR = 1.005; 1.000-1.010; p = 0.05) but not adjusted analysis (IRR = 1.003; 0.998-1.009; p = 0.25). Perceived social support was associated with greater adherence to medication; for each 1% increase in social support, there was a 4.2% increase in medication adherence (OR = 1.042; 1.015-1.070; p = 0.002). No association was found between greater perceived social support and greater physical activity, lower sedentary behaviour, healthier diet, lower alcohol use or being a non-smoker.

CONCLUSIONS

Social support may be an important facilitator for CVD medication adherence and is potentially important for primary care appointment attendance; however, alternative strategies might be needed to help people with SMI engage in physical activity, healthier diets and to reduce their smoking and alcohol use.

Modeling Health Disparities and Outcomes in Disenfranchised Populations

The Health Disparities and Outcomes (HDO) model originally created to explain the complexity of obtaining healthcare in rural settings has been revised and updated using emerging theoretical models of adversity and inequity and two decades of empirical work by the authors. With a strong orientation to explaining population-based health inequities, the HDO is applied to individuals with Serious Mental Illness (SMI), to explain their high rates of morbidity and mortality compared to the general population. Individual-, community-, and system-level factors that reflect an understanding of life-long risk, accrued hazards associated with multiple and intersecting disadvantages, and difficulty obtaining healthcare that meets accepted standards are described. The revised HDO can be applied to populations with disproportionate health challenges to identify multi-level factors that affect illness trajectory and overall health outcomes.

Egocentric social networks and smoking among adults with serious mental illness

Evidence-based smoking cessation treatment is safe and effective for smokers with serious mental illness (SMI); however, quit rates remain low in this population. We explored how social networks influence smoking outcomes among people with SMI who participated in smoking cessation treatment at community mental health centers. We conducted egocentric social network interviews with 41 individuals with SMI who participated in a statewide Medicaid demonstration project of smoking cessation treatment. We estimated the proportions of current smokers, former smokers, and never smokers in participants' (i.e., egos') networks and examined support for quitting from alters, defined as family, friends, peers, or significant others. We used logistic regression and mixed-effect logistic regression to explore the relationship between social network variables and ego's smoking status following cessation treatment. Egos reported an average of 5.9 ± 2.2 alters; 52% of alters were current smokers; 18% were former smokers; and 30% never smoked. The majority (57%) of alters helped an ego quit smoking. The presence of former smokers in the network was associated with decreased odds that the ego was smoking post-treatment. Egos whose friends were highly interconnected were less likely to smoke after treatment. Former smokers in the network may be a valuable resource for quitting particularly for vulnerable groups where there is a high prevalence and acceptability of smoking. Our initial findings suggest that a highly interconnected friendship network structure may be beneficial for people with SMI who are trying to quit smoking.