Tobacco smoking and nicotine vaping in persons with first episode psychosis.

Tobacco smoking is highly prevalent in persons with psychosis and is the leading cause of preventable mortality in this population. Less is known about tobacco smoking in persons with first episode psychosis (FEP) and there have been no estimates about the prevalence of nicotine vaping in FEP. This study reports rates of tobacco smoking and nicotine vaping in young people with FEP enrolled in Coordinated Specialty Care programs in Pennsylvania and Maryland. Using data collected from 2021 to 2023, we examined lifetime and recent smoking and vaping and compared smokers and vapers to nonusers on symptoms, functioning, and substance use. The sample included 445 participants aged 13-35 with recent psychosis onset. Assessments were collected by program staff. Overall, 28 % of participants engaged in either smoking or vaping within 30 days of the admission assessment. Smokers and vapers were disproportionately male, cannabis users, and had lower negative symptom severity than non-smokers. Vapers had higher role and social functioning. Both smoking and vaping were related to a longer time from psychosis onset to program enrollment. We compare these findings to previous studies and suggest steps for addressing smoking and vaping in this vulnerable population.

Peer and Non-Peer Co-Facilitation of a Health and Wellness Intervention for Adults with Serious Mental Illness.

Peer specialists, or individuals with lived experience of mental health conditions who support the mental health recovery of others, often work side-by-side with traditional providers (non-peers) in the delivery of treatment groups. The present study aimed to examine group participant and peer provider experiences with peer and non-peer group co-facilitation. Data from a randomized controlled trial of Living Well, a peer and non-peer co-facilitated intervention for medical illness management for adults with serious mental illness, were utilized. A subset of Living Well participants (n = 16) and all peer facilitators (n = 3) completed qualitative interviews. Transcripts were coded and analyzed using a general inductive approach and thematic analysis. The complementary perspectives of the facilitators, teamwork between them, skillful group pacing, and peer facilitator self-disclosure contributed to a warm, respectful, and interactive group atmosphere, which created an environment conducive to social learning. Guidelines for successful co-facilitation emerging from this work are described.

Quality of life outcomes of web-based and in-person weight management for adults with serious mental illness.

Adults with serious mental illness have high rates of obesity, with associated negative impacts on health-related quality of life. The present study utilized data from a randomized controlled trial (N = 276) to examine the effectiveness of in-person and online-delivered weight management interventions, compared to usual care, for improving health-related quality of life in this population. Participants completed quality of life assessments at baseline, 3 months, and 6 months. Mixed effects models examined group by time interactions. Compared to usual care, in-person MOVE was associated with improvements in loneliness (t = - 2.76, p = .006) and mental health related quality of life (t = 1.99, p = 0.048) at 6 months, and webMOVE was associated with improvements in weight-related self-esteem at 6 months (t = 2.23, p = .026) and mental health-related quality of life at 3 months (t = 2.17, p = 0.031) and 6 months (t = 2.38, p = .018). Web-based and in-person weight management led to improvements in health-related quality of life for adults with serious mental illness.ClinicalTrials.gov Identifier: NCT00983476.

Mobile Phone and Smartphone Use by People With Serious Mental Illness.

OBJECTIVE: Mobile technologies, such as smartphones, can improve health services by delivering assessments and interventions that reach people in their daily lives. There is, however, disagreement regarding whether people with serious mental illness make meaningful use of mobile technology and whether interventions that rely on mobile technology should be tailored for this population. METHODS: At two clinics, 249 people with serious mental illness were interviewed regarding mobile phone use, and their cognitive functioning was assessed. RESULTS: Mobile phones were used by 86% of participants, including 60% who used a smartphone. Phones were used for messaging by 81%, Internet by 52%, e-mail by 46%, and applications by 45%. Individuals who were older, had a persistent psychotic disorder rather than bipolar disorder, received disability income, or had worse neurocognitive functioning were less likely to own a smartphone (χ2=52.7, p<0.001). CONCLUSIONS: Most patients with serious mental illness owned a mobile phone; a majority owned a smartphone. Developers should consider tailoring mobile interventions for psychosis and cognitive deficits.

Psychiatric rehabilitation for veterans and the evolution of the field.

This special issue on psychiatric rehabilitation for veterans celebrates the Department of Veterans Affairs' commitment to innovation in psychiatric rehabilitation and recovery through service delivery and research. The scope of the articles also raises issues about the evolution of the field and how one defines psychiatric rehabilitation. Special issues such as this provide the opportunity to push at the boundaries and encourage the field to continue to advance how psychiatric rehabilitation efforts are defined, measured, evaluated, and put into practice across the care continuum. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Living Well: An Intervention to Improve Medical Illness Self-Management Among Individuals With Serious Mental Illness.

OBJECTIVE: Many adults with serious mental illness have significant medical illness burden and poor illness self-management. In this study, the authors examined Living Well, a group-based illness self-management intervention for adults with serious mental illness that was cofacilitated by two providers, one of whom has lived experience with co-occurring mental health and medical conditions. METHODS: Adults with serious mental illness (N=242) were randomly assigned to Living Well or an active control condition. Participants completed assessments of quality of life; health attitudes; self-management behaviors; and symptoms at baseline, posttreatment, and follow-up. Emergency room use was assessed by means of chart review. Mixed-effects models examined group × time interactions on outcomes. RESULTS: Compared with the control group, adults in Living Well had greater improvements at posttreatment in mental health-related quality of life (t=2.15, p=.032), self-management self-efficacy (t=4.10, p<.001), patient activation (t=2.08, p=.038), internal health locus of control (t=2.01, p=.045), behavioral and cognitive symptom management (t=2.77, p=.006), and overall psychiatric symptoms (t=-2.02, p=.044); they had greater improvements at follow-up in physical activity-related self-management (t=2.55, p=.011) and relationship quality (t=-2.45, p=.015). No effects were found for emergency room use. The control group exhibited greater increases in physical health-related quality of life at posttreatment (t=-2.23, p=.026). Significant group differences in self-management self-efficacy (t=2.86,p=.004) and behavioral and cognitive symptom management (t=2.08, p= .038) were maintained at follow-up. CONCLUSIONS: Compared with an active control group, a peer-cofacilitated illness self-management group was more effective in improving quality of life and self-management self-efficacy among adults with serious mental illness.

Impact of Online Weight Management With Peer Coaching on Physical Activity Levels of Adults With Serious Mental Illness.

OBJECTIVE: Many adults with serious mental illness are sedentary and experience significant medical illness burden. This study examined the effectiveness of online weight management with peer coaching (WebMOVE) for increasing general physical activity among adults with serious mental illness. METHODS: Using quantitative and qualitative data from a randomized controlled trial (N=276), this study compared WebMOVE, in-person weight management for adults with serious mental illness (MOVE SMI), and usual care. Participants completed assessments of general physical activity (baseline, three months, and six months) and a qualitative assessment (six months). Mixed-effects models examined group × time interactions on general physical activity. RESULTS: There were significant differences between MOVE SMI and usual care for total physical activity at three (t=3.06, p=.002) and six (t=3.12, p=.002) months, walking at six months (t=1.99, p=.048), and moderate (t=2.12, p=.035) and vigorous (t=2.34, p=.020) physical activity at six months. There was a significant difference between WebMOVE and usual care for total physical activity at six months (t=2.02, p=.044) and a trend for a group difference in walking at six months (t=1.78, p=.076). These findings reflected a decline in physical activity among participants in usual care and an increase in physical activity among participants in MOVE SMI or WebMOVE. CONCLUSIONS: In-person weight management counseling increased total physical activity and led to initiation of moderate and vigorous physical activity among adults with serious mental illness. Computerized weight management counseling with peer support led to more gradual increases in total physical activity.

Feasibility of implementing a recovery education center in a Veterans Affairs medical center.

OBJECTIVE: The purpose of this study was to determine the feasibility of implementing a recovery education program in a Veterans Affairs medical center. METHOD: This case study describes development and implementation of a mental health and wellness curriculum offered through a centralized location. Referral and utilization data (n = 781) from the first 18 months of implementation were used to evaluate feasibility. FINDINGS: Access to programming with zero exclusion was prioritized and average time from referral to enrollment was 9.6 days. Fifty-six percent of veterans admitted to mental health services during the 18-month evaluation period were referred to the program, and this level of utilization continued to be sustained. A broad range of classes was available. Opportunities to change classes as recovery goals evolved was encouraged and data indicate veterans actively tailored their individual recovery curriculum. CONCLUSIONS AND IMPLICATIONS FOR PRACTICE: Educational recovery programming was easily incorporated into a large integrated health facility, was well received, and offered greater opportunity for choice and individualization of recovery curriculum. (PsycINFO Database Record

Perceived barriers to physical activity in older and younger veterans with serious mental illness.

OBJECTIVE: Individuals with serious mental illness endorse many more medical and psychosocial barriers to physical activity (PA) than the general population. However, it is unknown if older adults with serious mental illness are at greater risk of experiencing barriers to PA than their younger counterparts. METHOD: The present study utilized a national VA dataset to compare veterans with serious mental illness ages 55 and older (n = 9,044) to veterans with serious mental illness ages 54 and younger (n = 8,782) on their responses to a questionnaire assessment of barriers to PA. RESULTS: Older veterans were more likely to endorse arthritis and cardiopulmonary disease, and less likely to endorse work schedule, as barriers to PA. CONCLUSIONS AND IMPLICATIONS FOR PRACTICE: Interventions designed to increase PA for young/middle-aged adults with serious mental illness may be broadly useful for older adults with serious mental illness, with some modification to address specific health concerns. (PsycINFO Database Record

Defining "peerness" in peer-delivered health and wellness interventions for serious mental illness.

Comments on the original article by Silver and Nemec (see record 2016-43088-001) regarding the recent special issue on peer-delivered services. Silver and Nemec thoughtfully raised important topics for further explanation. Especially intriguing was their commentary on what constitutes "essential peerness"; that is, what qualities or experiences are necessary/sufficient to make a peer a peer? With this editorial, the authors add to that conversation, specifically with regard to the role of peer specialists in health/wellness interventions. (PsycINFO Database Record

Medical and psychosocial barriers to weight management in older veterans with and without serious mental illness.

Older adults with serious mental illness (SMI) are an understudied population with complex care needs and high rates of obesity/overweight. Little is known about the experiences of older adults with SMI with weight management. The present study is an observational study of veterans ages 55 and over with a body mass index in the overweight or obese range, comparing Veterans with schizophrenia or bipolar disorder (n = 9044) to their same-age peers with no mental health disorders (n = 71156), on their responses to a questionnaire assessment of medical and psychosocial factors related to weight management. Responses to the questionnaire between August, 2005 and May, 2013 were used to examine the following: demographics, clinical characteristics, medical barriers to weight management, current weight loss plan, reliability of social support, reasons for being overweight, and weight loss barriers. Physical health concerns were highly prevalent in both groups. Veterans in the SMI group endorsed more medical issues and were significantly more likely to endorse experiences that indicated that their medical conditions were poorly controlled (e.g., shortness of breath). Veterans in the SMI group were more likely to endorse many barriers to healthy eating and physical activity, across medical, psychological, social, and environmental domains. Even within a sample at medically high-risk for complications related to obesity and metabolic syndrome, older veterans with SMI and overweight/obesity experience more challenges with weight management than their same-age peers with overweight/obesity and no mental health disorders. Weight management interventions for this population should take a multifaceted approach. (PsycINFO Database Record

Sex Differences in Weight Loss among Veterans with Serious Mental Illness: Observational Study of a National Weight Management Program.

PURPOSE: Obesity disproportionately burdens individuals with serious mental illness (SMI), especially women. This observational study investigated whether there were sex differences in weight loss and program participation among veterans with SMI enrolled in the Veterans Health Administration's (VHA) MOVE! weight management program. PROCEDURES: Participants were identified from a national cohort of 148,254 veterans enrolled in MOVE! during fiscal years 2008 through 2012 who attended two or more sessions within 12 months of enrollment. The cohort included those with International Classification of Disease, 9th Edition, Clinical Modification (ICD-9-CM) diagnoses for SMI, age less than 70 years, and weight data at baseline and one or more follow-up timepoints within approximately 1 year of enrollment (n = 8,943 men; n = 2,245 women). Linear mixed models assessed associations of sex with 6- and 12-month weight change from baseline, adjusting for demographic- and site-level variables. FINDINGS: Both sexes averaged 6.4 (standard deviation, 4.6) sessions within 12 months; however, women with and without SMI participated at rates double their respective proportion rates among all VHA users. Participants averaged statistically significant weight loss at 6 months (men, -2.5 lb [95% CI, -2.8 to -2.1]; women, -2.4 lb [95% CI, -3.1 to -1.7]) and 12 months (men, -2.5 lb [95% CI, -2.8 to -2.2]; women, -2.9 lb [95% CI, -3.6 to -2.2]), but no sex-based difference in absolute weight loss at either timepoint. Slightly more women achieved 5% or greater (clinically significant) weight loss at the 12-month follow-up than did men (25.7% vs. 23.0%; p < .05). CONCLUSIONS: Women with SMI participated in MOVE! at rates equivalent to or greater than men with SMI, with comparable weight loss. More women were Black, single, had bipolar and posttraumatic stress disorder, and higher service-connected disability, suggesting areas for program customization.

Veterans with PTSD report more weight loss barriers than Veterans with no mental health disorders.

OBJECTIVE: This study characterized and compared Veterans of the United States Armed Forces with posttraumatic stress disorder (PTSD) to Veterans with no mental health disorders on self-reported measures of factors that influence success in weight management programs. METHOD: We examined the relation of PTSD diagnosis with weight loss plan, reasons for overweight/obesity and barriers to dieting and physical exercise among 171,884 Veterans. Statistically significant variables in chi-square tests (P<.05) with at least a small effect size were then compared via multivariate logistic regression analyses. RESULTS: Both groups reported high ratings of importance and confidence regarding changing weight loss behaviors and were preparing or actively engaging in efforts to manage their weight. Compared to Veterans without mental health disorders, more Veterans with PTSD endorsed 27 of the 28 barriers to changing eating and physical habits. CONCLUSIONS: The results of this study help to explain the lower rates of success of Veterans with PTSD in weight loss programs. Results suggest that a comprehensive, integrated approach to promoting weight loss in Veterans with PTSD is needed.

The Experience of Peer Mentors in an Intervention to Promote Smoking Cessation in Persons with Psychiatric Illness.

Peer support is an important component of services for persons with psychiatric illness but the experience of peer mentors is not well understood. This study explored the experiences of peer mentors, all former smokers and persons with psychiatric illness, who provided smoking cessation counseling as part of a 6 month professionally-led intervention. Data was obtained from 383 contact log entries and in-depth interviews with eight peer mentors. Qualitative analysis indicated that mentor roles were unexpectedly varied beyond the focus on smoking cessation. Of the two aspects of "peer-ness," shared smoking history was more prominent, while the shared experience of psychiatric illness was sometimes overlooked. Peer mentors experienced multiple challenges trying to help participants to change their smoking behaviors. Nonetheless, they described their experience as personally rewarding. Future interventions may be improved by anticipating peer mentor role complexity and the inherent tension between providing person-centered support and promoting behavior change.

The use of peer mentors to enhance a smoking cessation intervention for persons with serious mental illnesses.

OBJECTIVE: We evaluated a well-specified peer mentor program that enhanced a professionally led smoking cessation group for persons with serious mental illnesses. METHOD: Participants were 8 peer mentors, persons with serious mental illnesses who had successfully quit smoking, and 30 program participants, persons with serious mental illnesses enrolled in a 6-month intervention. Peer mentors were trained and then helped to deliver a smoking cessation group and met with program participants individually. We assessed the mentors' skills after training, their fidelity to the model, and the program's feasibility and acceptability. We also measured the smoking outcomes of the program participants including change in exhaled carbon monoxide, a measure of recent smoking, and aspects of the peer mentor-program participant relationship. RESULTS: Peer mentors attained a mean score of 13.6/14 on role play assessments after training and delivered the intervention with fidelity as assessed by adherence and competence ratings (mean scores of 97% and 93%, respectively). The feasibility and acceptability of the intervention was demonstrated in that 28/30 participants met with their peer mentors regularly and only 1 participant and no peer mentor discontinued in the study. Both parties rated the interpersonal alliance highly, mean of 5.9/7. The program participants had a decline in carbon monoxide levels and number of cigarettes smoked per day (repeated measures ANOVA F = 6.04, p = .008; F = 15.87, p < .001, respectively). A total of 22/30 (73%) made a quit attempt but only 3 (10%) achieved sustained abstinence. CONCLUSIONS AND IMPLICATIONS FOR PRACTICE: Our study adds to the growing literature about peer-delivered interventions.

Brief Critical Time Intervention to Reduce Psychiatric Rehospitalization.

OBJECTIVE: The study investigated the association between implementation of a brief critical time intervention (BCTI) model and occurrence of early and long-term psychiatric readmission of adults with serious mental illness. METHODS: A sample of 149 adults with a psychiatric inpatient readmission within 30 days of a prior psychiatric hospitalization was referred to an acute level of service coordination (ASC) available at six provider organizations implementing BCTI. Activities important to the delivery of BCTI were monitored and supported. A comparison cohort of 224 adults served by ASC at the same organizations before implementation of BCTI was derived from administrative data. Frequencies of behavioral health service utilization and readmission rates for the intervention and comparison cohorts within 30 and up to 180 days of the prior readmission were compared. RESULTS: Utilization rates of mental health and substance use disorder services were similar for both cohorts postdischarge. The proportion of individuals readmitted within 30 days of a discharge was lower for the BCTI cohort (28%) than the comparison cohort (47%) (p<.001). Longer-term readmission rates also were lower in the BCTI cohort but were not significantly different from the comparison cohort (44% versus 52%). With analyses controlling for patient characteristics and service utilization, individuals in the comparison cohort were 2.83 times more likely to be readmitted within 30 days than those who received BCTI (p<.001). CONCLUSIONS: BCTI was associated with decreased early readmission rates, suggesting that this model may be an effective approach to improve continuity of care for this population.

Factors influencing implementation of smoking cessation treatment within community mental health centers.

OBJECTIVE: Consumers with serious mental illness smoke more and are at higher risk for smoking-related illness. We examined provider and consumer factors influencing the implementation of the evidence-based "5 A's" (ask, advise, assess, assist, arrange) in six community mental health centers in greater Baltimore. METHODS: Data collected as part of a larger study examining the effectiveness of delivery of the 5 A's at patient visits. First, we examined responses to a survey administered to 49 clinicians on barriers and attitudes toward delivering the 5 A's. Second, we used multilevel models to examine variance between patients (n = 228), patient factors, and variance between their psychiatrists (n = 28) in the delivery of the 5 A's (and first 3 A's). RESULTS: The most strongly endorsed barrier was perceived lack of patient interest in smoking cessation. Psychiatrists and patients both accounted for significant variance in the delivery of the 5 A's and 3 A's. Patient "readiness to change" predicted delivery of the full 5 A's, while smoking severity predicted delivery of the first 3 A's. CONCLUSIONS: There is a critical need for creative and collaborative solutions, policies, and clinician training to address actual and perceived obstacles to the delivery of evidence-based smoking cessation treatment in the mental health care setting.

National evaluation of obesity screening and treatment among veterans with and without mental health disorders.

OBJECTIVE: The objective was to determine whether obesity screening and weight management program participation and outcomes are equitable for individuals with serious mental illness (SMI) and depressive disorder (DD) compared to those without SMI/DD in Veterans Health Administration (VHA), the largest integrated US health system, which requires obesity screening and offers weight management to all in need. METHODS: We used chart-reviewed, clinical and administrative VHA data from fiscal years 2010-2012 to estimate obesity screening and participation in the VHA's weight management program (MOVE!) across groups. Six- and 12-month weight changes in MOVE! participants were estimated using linear mixed models adjusted for confounders. RESULTS: Compared to individuals without SMI/DD, individuals with SMI or DD were less frequently screened for obesity (94%-94.7% vs. 95.7%) but had greater participation in MOVE! (10.1%-10.4% vs. 7.4%). MOVE! participants with SMI or DD lost approximately 1 lb less at 6 months. At 12 months, average weight loss for individuals with SMI or neither SMI/DD was comparable (-3.5 and -3.3 lb, respectively), but individuals with DD lost less weight (mean=-2.7 lb). CONCLUSIONS: Disparities in obesity screening and treatment outcomes across mental health diagnosis groups were modest. However, participation in MOVE! was low for every group, which limits population impact.

Strategies, barriers, and motivation for weight loss among veterans living with schizophrenia.

OBJECTIVE: Weight loss programs for veterans living with schizophrenia have demonstrated mixed efficacy, highlighting unique obstacles faced by this population. Data from a large national sample provide an opportunity to characterize the unique factors related to weight loss for veterans with schizophrenia. The present study compared veterans living with schizophrenia (n = 5,388) to veterans with no mental health diagnoses (n = 81,422) on responses to the MOVE!23, a multidimensional assessment of factors related to weight management. METHODS: Responses to the MOVE!23 between August, 2005 and May, 2013 by veterans with a body mass index in the overweight or obese range were used to describe clinical characteristics, current strategies, perceived barriers, stages of readiness, and importance of and confidence to change behaviors related to their weight management. RESULTS: Both groups reported similar stages of readiness and high ratings of importance and confidence regarding weight loss behaviors. Compared with veterans with no mental health diagnoses, over 5 times as many veterans living with schizophrenia reported smoking to control weight, and a greater number endorsed 18 of the 21 barriers to modifying eating and physical activity. CONCLUSIONS AND IMPLICATIONS FOR PRACTICE: RESULTS highlight the necessity of addressing healthy lifestyles from a holistic perspective for all veterans. Adding regular physical activity as part of daily treatment may address the accessibility, safety concerns, and lack of social support reported as physical activity barriers. Increased access to healthier food choices and addressing smoking in conjunction with weight loss are also warranted.