Outpatient-Based Opioid Treatment Engagement and Attendance: A Prospective Cohort Study of Homeless-Experienced Adults.

BACKGROUND: The opioid overdose epidemic disproportionately impacts people experiencing homelessness. Outpatient-based opioid treatment (OBOT) programs have been established in homeless health care settings across the USA, but little is known about the success of these programs in engaging and retaining this highly marginalized patient population in addiction care. OBJECTIVE: To evaluate predictors of initial engagement and subsequent attendance in a homeless-tailored OBOT program. DESIGN: Prospective cohort study with 4 months of follow-up. PARTICIPANTS: A total of 148 homeless-experienced adults (≥18 years) who newly enrolled in the Boston Healthcare for the Homeless Program (BHCHP) OBOT program over a 1-year period (1/6/2022-1/5/2023). MAIN MEASURES: The primary outcomes were (1) initial OBOT program engagement, defined as having ≥2 additional OBOT visits within 1 month of OBOT enrollment, and (2) subsequent OBOT program attendance, measured monthly from months 2 to 4 of follow-up. KEY RESULTS: The average age was 41.7 years (SD 10.2); 23.6% were female, 35.8% were Hispanic, 12.8% were non-Hispanic Black, and 43.9% were non-Hispanic White. Over one-half (57.4%) were initially engaged. OBOT program attendances during months 2, 3, and 4 were 60.8%, 50.0%, and 41.2%, respectively. One-quarter (24.3%) were initially engaged and then attended the OBOT program every month during the follow-up period. Participants in housing or residential treatment programs (vs. unhoused; adjusted odds ratios (aORs) = 2.52; 95% CI = 1.17-5.44) and those who were already on or initiated a medication for opioid use disorder (OUD) (aOR = 6.53; 95% CI = 1.62-26.25) at the time of OBOT enrollment had higher odds of engagement. Older age (aOR = 1.74 per 10-year increment; 95% CI = 1.28-2.38) and initial engagement (aOR = 3.50; 95% CI = 1.86-6.59) conferred higher odds of attendance. CONCLUSIONS: In this study, over half initially engaged with the OBOT program, with initial engagement emerging as a strong predictor of subsequent OBOT program attendance. Interventions aimed at enhancing initial OBOT program engagement, including those focused on housing and buprenorphine initiation, may improve longer-term outcomes in this marginalized population.

Factors Associated with Sustained Virologic Response to Hepatitis C Treatment in a Homeless-Experienced Cohort in Boston, 2014-2020.

BACKGROUND: Engaging people experiencing homelessness or unstable housing in hepatitis C virus (HCV) treatment is critical to achieving HCV elimination. OBJECTIVE: To describe HCV treatment outcomes, including factors associated with retention through the treatment cascade, for a cohort of individuals treated in a homeless health center in Boston. DESIGN: Retrospective cohort study. PARTICIPANTS: All individuals who initiated HCV treatment with Boston Health Care for the Homeless Program's HCV treatment program between January 2014 and March 2020 (N = 867). OUTCOME MEASURES: The primary outcome was sustained virologic response (SVR), defined as an HCV ribonucleic acid (RNA) level ≤ 15 IU/mL at least 12 weeks after treatment completion. We used multivariable logistic regression to examine the association between baseline variables and SVR. Process-oriented outcomes included treatment completion, assessment for SVR, and achievement of SVR. RESULTS: Of 867 individuals who started HCV treatment, 796 (91.8%) completed treatment, 678 (78.2%) were assessed for SVR, and 607 (70.0%) achieved SVR. In adjusted analysis, residing in stable housing (OR 3.83, 95% CI 1.85-7.90) and age > 45 years old (OR 1.53, 95% CI 1.04-2.26) were associated with a greater likelihood of achieving SVR. Recent drug use (OR 0.63, 95% CI 0.41-0.95) was associated with a lower likelihood of SVR. Age, housing status, and drug use status impacted retention at every step in the treatment cascade. CONCLUSION: A large proportion of homeless-experienced individuals engaging in HCV treatment in a homeless health center achieved SVR, but enhanced approaches are needed to engage and retain younger individuals, those with recent or ongoing substance use, or those experiencing homelessness or unstable housing. Efforts to achieve HCV elimination in this population should consider the complex and overlapping challenges experienced by this population and aim to address the fundamental harm of homelessness itself.

Health Care Utilization among Homeless-Experienced Adults Who Were Seen by a Mobile Addiction Health Clinic in Boston, Massachusetts: A Quasi-Experimental Study.

Background: Mobile health clinics improve access to care for marginalized individuals who are disengaged from the healthcare system. This study evaluated the association between a mobile addiction health clinic and health care utilization among people experiencing homelessness. Methods: Using Medicaid claims data, we evaluated adults who were seen by a mobile addiction health clinic in Boston, Massachusetts from 1/16/18-1/15/19 relative to a propensity score matched control cohort. We evaluated both cohorts from four years before to one year after the index visit date with the mobile clinic. The primary outcome was the number of outpatient visits; secondary outcomes were the number of hospitalizations and emergency department (ED) visits. We used Poisson regression to compare changes in outcomes from before to after the index date in a quasi-experimental design. Results: 138 adults were seen by the mobile clinic during the observation period; 29.7% were female, 16.7% were Black, 8.0% Hispanic, 68.1% White, and the mean age was 40.4 years. The mean number of mobile clinic encounters was 3.1. The yearly mean number of outpatient visits increased from 11.5 to 12.1 (p = 0.43; pdiff-in-diff = 0.15), the number of hospitalizations increased from 2.2 to 3.0 (p = 0.04; pdiff-in-diff = 0.87), and the number of ED visits increased from 5.4 to 6.5 (p = 0.04; pdiff-in-diff = 0.40). Conclusions: The mobile addiction health clinic was not associated with statistically significant changes in health care utilization in the first year. Further research in larger samples using a broader set of outcomes is needed to quantify the benefits of this innovative care delivery model.

"That's what we call the cocktail": Non-Opioid medication and supplement misuse among opioid users.

BACKGROUND: Recent evidence suggests that the practice of combining opioid use with non-opioid substances is common, though little is known about this phenomenon and how best to address it. Methods: We recruited adults in Boston, Massachusetts, with recent opioid use. We conducted semi-structured interviews to explore the practice of combining non-opioid substances with opioids and analyzed transcripts to identify themes. Results: Twenty-nine individuals completed interviews. Combining other substances with opioids was a well-known practice: "that's what we call the cocktail." Participants reported the use of clonidine, gabapentin, benzodiazepines, promethazine, amphetamine salts, quetiapine, barbiturates, cough and cold medications, as well as alcohol and candy in combination with opioids. Participants reported purchasing these substances on the street, stealing them, or getting them from a prescriber. Augmenting the opioid high was a common reason for combining substances. Importantly, participants also reported combining substances to treat psychiatric symptoms. Individuals commonly reported learning about combining substances "from people on the street" but also reported learning from the internet and television. Perceived benefits outweighed safety concerns. Participants also felt that using over-the-counter or prescription medications would be safe. Conclusions: Combining a variety of substances with opioids is common and driven by diverse motives. Clinicians caring for opioid-involved patients should consider screening for concurrent use of other substances and discussing the risks of this practice.

Substance consumption and intoxication patterns in a medically supervised overdose prevention program for people experiencing homelessness.

Background: Opioid overdose is a leading cause of death among homeless individuals. Combining psychoactive substances with opioids increases overdose risk. This study aimed to describe intoxication patterns at a drop-in space offering medical monitoring and harm reduction services to individuals who arrive intoxicated and at risk of overdose. Methods: We examined data from visits to the Supportive Place for Observation and Treatment at Boston Health Care for the Homeless Program between January 1, 2017 and December 31, 2017. We used k-means cluster analysis to characterize intoxication patterns based on clinically assessed sedation levels and vital sign parameters. Multinomial logistic regression analysis assessed demographic and substance consumption predictors of cluster membership. Linear and logistic regression models examined associations between cluster membership and care outcomes. Results: Across 305 care episodes involving 156 unique patients, cluster analysis revealed 3 distinct intoxication patterns. Cluster A (26.6%) had mild sedation and normal vital signs. Cluster B (44.5%) featured greater sedation with bradycardia and/or hypotension. Cluster C (28.9%) was comparable to cluster B but with the addition of hypoxia. Self-reported consumption of non-opioid sedatives prior to arrival was common (63.3% of episodes) and predicted membership in cluster B (aOR 2.75, 95% CI 1.40, 5.40) and cluster C (aOR 3.38, 95% CI 1.48, 7.70). In comparison to cluster A episodes, cluster C episodes were longer (mean 4.8 vs. 2.3 hours, p < 0.001) and more likely to require supplemental oxygen (27.3% vs. 2.5%, p < 0.001). Few episodes required hospital transfer (4.7%) or naloxone (1.0%). No deaths occurred. Conclusions: In a medically supervised overdose monitoring program, reported use of non-opioid sedatives strongly predicted more complex clinical courses and should be factored into overdose prevention efforts. Low-threshold medical monitoring in an ambulatory setting was sufficient for most episodes, suggesting a role for such programs in reducing harm and averting costly emergency services.

Barriers, facilitators, and opportunities to optimize care engagement in a diverse sample of older low-income women: A qualitative study.

The growing population of aging women in the United States is disproportionately at-risk for adverse physical, behavioral, mental, and psychosocial health conditions. Engagement with preventive care is critical to address these risk factors. A qualitative descriptive approach was used to explore patterns of healthcare use, facilitators, barriers, and opportunities to optimize primary/preventive care engagement among low-income midlife and older women. Themes were deductively derived from the Behavioral Model for Vulnerable Populations. Categories were inductively determined: barriers to care engagement; facilitators of care engagement; opportunities to optimize primary/preventive care engagement. Themes emerging from this study suggest that experiences related to discrimination, psychological health, trauma, and prioritizing care of others negatively influence care engagement; while respect, continuity, and clinician gender and racial/ethnic concordance enhance care participation. Efforts aiming to engage low-income aging women in care should focus on addressing barriers, building on facilitators, and leveraging contemporary telehealth-outreach solutions.

Thirty-Day Hospital Readmission Among Homeless Individuals With Medicaid in Massachusetts.

BACKGROUND: National efforts are underway to reduce hospital readmissions. Few studies have used administrative data to provide a global view of readmission among people experiencing homelessness, who often utilize multiple hospital systems. OBJECTIVE: To examine the 30-day hospital readmission rate and factors associated with readmission following discharge among homeless Medicaid members in Massachusetts. METHODS: We analyzed medical record and Medicaid administrative data for 1269 hospitalizations between 2013 and 2014 for 458 unique patients attributed to Boston Health Care for the Homeless Program. Generalized Estimating Equations were used to investigate factors associated with readmission. RESULTS: Of all hospitalizations, 27% resulted in readmission, more than double the average national Medicaid readmission rate. Leaving against medical advice was associated with increased readmission, while having a Health Care for the Homeless primary care practitioner was associated with reduced readmission. Among the most frequently admitted individuals, being discharged to medical respite care was associated with reduced readmission. CONCLUSIONS: To break the readmission cycle, health care providers serving homeless individuals could focus on assuring access to medical respite care and extending outreach efforts that increase primary care engagement. This may be especially important for accountable care systems, as safety net providers increasingly assume financial risk for patients' total cost and quality of care.

Baseline Factors Associated with Mortality in Patients Who Engaged in Buprenorphine Treatment for Opioid Use Disorder: a Cohort Study.

BACKGROUND: Opioid agonist therapy (OAT) has been shown to reduce mortality in patients with opioid use disorder (OUD), yet mortality in individuals receiving OAT remains higher than in an age- and gender-matched population. OBJECTIVE: To identify baseline risk factors in patients who engaged in buprenorphine treatment that are associated with this elevated risk of death. DESIGN: We performed a retrospective cohort study from January 1, 2007, to December 31, 2018, using a centralized clinical data registry within a multi-hospital health system in Boston, MA, USA. PARTICIPANTS: All adult patients who had ≥ 2 consecutive encounters with sublingual buprenorphine on the active medication list from January 1, 2007, to December 31, 2018. MAIN MEASURES: We abstracted several sociodemographic, clinical, and healthcare use characteristics from the clinical data registry. The primary outcome was all-cause mortality and the secondary outcome was opioid overdose-related mortality. We performed multivariable cox regression to identify baseline characteristics independently associated with these outcomes. KEY RESULTS: Of 5948 patients in the cohort, the majority were white (80.7%) and male (59.7%), with a mean age of 38.2 years. The all-cause mortality rate was 24.0 deaths per 1000 person-years. Baseline characteristics independently associated with an increased hazard of all-cause mortality included homelessness (adjusted hazard ratio [aHR] = 1.39; 95% confidence interval [CI] = 1.09, 1.78), an opioid on the active medication list (aHR = 1.28; 95% CI = 1.08, 1.52), and entry into the cohort during an inpatient hospitalization (aHR = 1.43; 95% CI = 1.18, 1.73). Homelessness was also associated with an increased hazard of opioid overdose-related mortality (aHR = 1.77; 95% CI = 1.25, 2.50). CONCLUSIONS: We identified several novel and potentially modifiable predictors of mortality among patients engaging in buprenorphine treatment who remain at an increased risk of death compared with the general population. Understanding these risk factors can assist healthcare providers in risk stratification and inform the design of targeted interventions to improve outcomes in a high-risk patient population.

Assessment of SARS-CoV-2 Infection Prevalence in Homeless Shelters - Four U.S. Cities, March 27-April 15, 2020.

In the United States, approximately 1.4 million persons access emergency shelter or transitional housing each year (1). These settings can pose risks for communicable disease spread. In late March and early April 2020, public health teams responded to clusters (two or more cases in the preceding 2 weeks) of coronavirus disease 2019 (COVID-19) in residents and staff members from five homeless shelters in Boston, Massachusetts (one shelter); San Francisco, California (one); and Seattle, Washington (three). The investigations were performed in coordination with academic partners, health care providers, and homeless service providers. Investigations included reverse transcription-polymerase chain reaction testing at commercial and public health laboratories for SARS-CoV-2, the virus that causes COVID-19, over approximately 1-2 weeks for residents and staff members at the five shelters. During the same period, the team in Seattle, Washington, also tested residents and staff members at 12 shelters where a single case in each had been identified. In Atlanta, Georgia, a team proactively tested residents and staff members at two shelters with no known COVID-19 cases in the preceding 2 weeks. In each city, the objective was to test all shelter residents and staff members at each assessed facility, irrespective of symptoms. Persons who tested positive were transported to hospitals or predesignated community isolation areas.

Barriers to Lung Cancer Screening Engagement from the Patient and Provider Perspective.

Lung cancer remains the leading cause of cancer mortality in the United States. Lung cancer screening (LCS) with low-dose CT reduces mortality among high-risk current and former smokers and has been covered by public and private insurers without cost sharing since 2015. Patients and referring providers confront numerous barriers to participation in screening. To best serve in multidisciplinary efforts to expand LCS nationwide, radiologists must be knowledgeable of these challenges. A better understanding of the difficulties confronted by other stakeholders will help radiologists continue to collaboratively guide the growth of LCS programs in their communities. This article reviews barriers to participation in LCS for patients and referring providers, as well as possible solutions and interventions currently underway.

Addressing Health-Related Social Needs: Value-Based Care or Values-Based Care?

Health-related social needs, such as food insecurity, housing instability, and lack of transportation, are associated with worse health outcomes, and are increasingly the focus of health-related social needs interventions within healthcare. Adoption of health-related social needs interventions is often justified by the potential to reduce healthcare costs. However, this can present a conundrum to clinicians. Physicians are often more accustomed to justifying clinical innovation based on improvements in health, in accord with the fundamental values of the medical profession, which include using our knowledge, skills, and the resources at our disposal to improve both individual and public health. In cases where health-related social needs interventions improve health but are not cost-saving, these two types of justifications can conflict. We provide a framework for considering these issues, and an agenda for scholarly work on this topic. Ultimately, if promoting patient and public health are key values for our profession, then understanding when to emphasize values-based care, rather than simply value-based care, is crucial to fulfilling our professional duty.

Cigarette Smoking and Quitting-Related Factors Among US Adult Health Center Patients with Serious Mental Illness.

INTRODUCTION: US adults with serious mental illness (SMI), compared to those without SMI, have a higher prevalence of smoking, which contributes to a shorter life expectancy. This study compared current smoking and quitting-related characteristics of low-income US adults with and without SMI who received healthcare at federally funded health centers. METHODS: Using cross-sectional data from adults ≥ 18 years old in the nationally representative 2014 Health Center Patient Survey (n = 5592), we compared the prevalence of ever and current smoking among adults with and without SMI and calculated quit ratios as the percentage of ever smokers who have quit smoking. We examined the association between SMI and receiving advice to quit, making quit attempts, and having plans to quit in the next 30 days using multivariable logistic regression. RESULTS: A total of 1376 (23%) of participants had SMI. Ever smoking prevalence was 68% in adults with SMI and 41% in adults without SMI, and current smoking prevalence was 48% and 22%, respectively. The quit ratio was 30% and 46% among participants with and without SMI, respectively. Compared to smokers without SMI, more smokers with SMI reported receiving advice to quit in the past 12 months (aOR 2.47, 95% CI 1.20-5.07). Smokers with and without SMI did not differ significantly in their odds of having made a past-12-month quit attempt or plans to quit. CONCLUSIONS: Smokers with SMI seen in federally funded health centers were just as likely to have made a quit attempt and to have plans to quit as smokers without SMI. Despite a higher likelihood of receiving clinician advice to quit, the lower quit ratio in this population suggests that advice alone is unlikely to be sufficient. These results underscore the need for augmented strategies to promote smoking cessation and reduce the excess burden of tobacco-related disease in patients with SMI.

Access to care among Medicaid and uninsured patients in community health centers after the Affordable Care Act.

BACKGROUND: The Affordable Care Act expanded Medicaid and increased federal funding for Community Health Centers (CHCs). To examine the role of Medicaid coverage on care patterns for those with available safety net care, we assessed differences in access to care for CHC patients with continuous Medicaid coverage vs. gaps in insurance coverage in the last year. METHODS: We used data on adult respondents from the 2014 Health Center Patient Survey (N = 1720) with continuous Medicaid coverage vs. those with some period without insurance coverage in the last 12 months. We examined reported need for any medical care, mental health care, prescription drugs, dental care, and referrals for care outside of the CHC in the last 12 months, and reports of being delayed or unable to get needed care by insurance status. We used logistic regression to assess the association between insurance status and care access, adjusting for patient characteristics. RESULTS: Patients with insurance gaps and continuous Medicaid coverage reported similar levels of need for most types of care in the last 12 months, but those with insurance gaps were significantly more likely to report having difficulty obtaining medical care, prescription drugs, dental care, and completing outside referrals. Of those with incomplete referrals for care outside of the CHC, patients with insurance gaps were more likely than those with continuous Medicaid to cite cost or insurance-related reasons for not following up (70% vs. 19%, p < 0.01). CONCLUSIONS: Having continuous Medicaid coverage appeared to mitigate barriers to care for CHC patients compared to having intermittent or no insurance coverage over the last year. Policies that increase disruptions in Medicaid coverage could adversely impact access to care, even among those with available safety net care.

Financial Incentives for Smoking Abstinence in Homeless Smokers: A Pilot Randomized Controlled Trial.

Introduction: Three-quarters of homeless people smoke cigarettes. Financial incentives for smoking abstinence have appeared promising in nonexperimental studies of homeless smokers, but randomized controlled trial (RCT) data are lacking. Methods: We conducted a pilot RCT of financial incentives for homeless smokers. Incentive arm participants (N = 25) could earn escalating $15-$35 rewards for brief smoking abstinence (exhaled carbon monoxide <8 parts per million) assessed 14 times over 8 weeks. Control arm participants (N = 25) were given $10 at each assessment regardless of abstinence. All participants were offered nicotine patches and counseling. The primary outcome was a repeated measure of brief smoking abstinence across 14 assessments. The secondary outcome was brief abstinence at 8 weeks. Exploratory outcomes were self-reported 1-day and 7-day abstinence from (1) any cigarette and (2) any puff of a cigarette. Other outcomes included 24-hour quit attempts, nicotine patch use, counseling attendance, and changes in alcohol and drug use. Results: Compared to control, incentive arm participants were more likely to achieve brief abstinence overall (odds ratio 7.28, 95% confidence interval 2.89 to 18.3) and at 8 weeks (48% vs. 8%, p = .004). Similar effects were seen for 1-day abstinence, but 7-day puff abstinence was negligible in both arms. Incentive arm participants made more quit attempts (p = .03). Nicotine patch use and counseling attendance were not significantly different between the groups. Alcohol and drug use did not change significantly in either group. Conclusions: Among homeless smokers, financial incentives increased brief smoking abstinence and quit attempts without worsening substance use. This approach merits further development focused on promoting sustained abstinence. Registration: ClinicalTrials.gov (NCT02565381). Implications: Smoking is common among homeless people, and conventional tobacco treatment strategies have yielded modest results in this population. This pilot RCT suggests that financial incentives may be a safe way to promote brief smoking abstinence and quit attempts in this vulnerable group of smokers. However, further development is necessary to translate this approach into real-world settings and to promote sustained periods of smoking abstinence.

Subsistence difficulties are associated with more barriers to quitting and worse abstinence outcomes among homeless smokers: evidence from two studies in Boston, Massachusetts.

BACKGROUND: Three-quarters of homeless people smoke cigarettes. Competing priorities for shelter, food, and other subsistence needs may be one explanation for low smoking cessation rates in this population. We analyzed data from two samples of homeless smokers to examine the associations between subsistence difficulties and 1) smoking cessation readiness, confidence, and barriers in a cross-sectional study, and 2) smoking abstinence during follow-up in a longitudinal study. METHODS: We conducted a survey of homeless smokers (N = 306) in 4/2014-7/2014 and a pilot randomized controlled trial (RCT) for homeless smokers (N = 75) in 10/2015-6/2016 at Boston Health Care for the Homeless Program. In both studies, subsistence difficulties were characterized as none, low, or high based on responses to a 5-item scale assessing the frequency of past-month difficulty finding shelter, food, clothing, a place to wash, and a place to go to the bathroom. Among survey participants, we used linear regression to assess the associations between subsistence difficulty level and readiness to quit, confidence to quit, and a composite measure of perceived barriers to quitting. Among RCT participants, we used repeated-measures logistic regression to examine the association between baseline subsistence difficulty level and carbon monoxide-defined brief smoking abstinence assessed 14 times over 8 weeks of follow-up. Analyses adjusted for demographic characteristics, substance use, mental illness, and nicotine dependence. RESULTS: Subsistence difficulties were common in both study samples. Among survey participants, greater subsistence difficulties were associated with more perceived barriers to quitting (p < 0.001) but not with cessation readiness or confidence. A dose-response relationship was observed for most barriers, particularly psychosocial barriers. Among RCT participants, greater baseline subsistence difficulties predicted less smoking abstinence during follow-up in a dose-response fashion. In adjusted analyses, individuals with the highest level of subsistence difficulty had one-third the odds of being abstinent during follow-up compared to those without subsistence difficulties (OR 0.33, 95% CI 0.11-0.93) despite making a similar number of quit attempts. CONCLUSIONS: Homeless smokers with greater subsistence difficulties perceive more barriers to quitting and are less likely to do so despite similar readiness, confidence, and attempts. Future studies should assess whether addressing subsistence difficulties improves cessation outcomes in this population. TRIAL REGISTRATION: ClinicalTrials.gov: NCT02565381 .

Reported Risky Alcohol Use Among US Adults Prescribed 3 Classes of Chronic Alcohol-Interactive Medications.

This study uses data from the 2013­March 2020 National Health and Nutrition Examination Survey to assess contemporary patterns of risky alcohol use among adults taking high-risk alcohol-interactive medications (benzodiazepine receptor agonists, opioids, and antiepileptics).

Impact of Cigarette Smoking and Smoking Cessation on Life Expectancy Among People With HIV: A US-Based Modeling Study.

BACKGROUND: In the United States, >40% of people infected with human immunodeficiency virus (HIV) smoke cigarettes. METHODS: We used a computer simulation of HIV disease and treatment to project the life expectancy of HIV-infected persons, based on smoking status. We used age- and sex-specific data on mortality, stratified by smoking status. The ratio of the non-AIDS-related mortality risk for current smokers versus that for never smokers was 2.8, and the ratio for former smokers versus never smokers was 1.0-1.8, depending on cessation age. Projected survival was based on smoking status, sex, and initial age. We also estimated the total potential life-years gained if a proportion of the approximately 248 000 HIV-infected US smokers quit smoking. RESULTS: Men and women entering HIV care at age 40 years (mean CD4+ T-cell count, 360 cells/µL) who continued to smoke lost 6.7 years and 6.3 years of life expectancy, respectively, compared with never smokers; those who quit smoking upon entering care regained 5.7 years and 4.6 years, respectively. Factors associated with greater benefits from smoking cessation included younger age, higher initial CD4+ T-cell count, and complete adherence to antiretroviral therapy. Smoking cessation by 10%-25% of HIV-infected smokers could save approximately 106 000-265 000 years of life. CONCLUSIONS: HIV-infected US smokers aged 40 years lose >6 years of life expectancy from smoking, possibly outweighing the loss from HIV infection itself. Smoking cessation should become a priority in HIV treatment programs.

Posttraumatic Stress Symptoms and Their Association With Smoking Outcome Expectancies Among Homeless Smokers in Boston.

INTRODUCTION: Cigarette smoking and traumatic life experiences are each common among homeless adults, but the prevalence and correlates of posttraumatic stress disorder (PTSD) symptoms among homeless smokers are not known. We assessed symptoms of PTSD and their association with smoking outcome expectancies in a sample of homeless smokers in Boston. METHODS: We used time-location sampling to conduct an in-person survey of homeless adult smokers using Boston Health Care for the Homeless Program clinical services. We assessed symptoms of PTSD with the PTSD Checklist-Civilian version and considered scores at least 14 as positive. We used the Smoking Effects Questionnaire to assess positive and negative smoking outcome expectancies. We modeled the associations between PTSD screening status and smoking expectancies using design-adjusted linear regression. RESULTS: Eighty-six percent of eligible individuals participated (N = 306). Sixty-eight percent of participants screened positive for PTSD. Screen-positive respondents were younger (P = .001), more likely to report fair/poor health (P = .01), chronic obstructive pulmonary disease (P = .02), and past-month hallucinations (P = .004), and had greater drug (P < .001) and alcohol (P < .001) use severity and cigarette dependence (P = .002). In analyses controlling for these confounders, PTSD screen-positive participants more strongly endorsed smoking to reduce negative affect (P = .01), smoking for social benefits (P = .002), and smoking for weight control (P = .03). Exploratory analyses suggested that these associations were driven by avoidance/numbing and re-experiencing symptoms. CONCLUSIONS: Symptoms of posttraumatic stress are common among homeless smokers and strongly associated with positive smoking outcome expectancies. Tobacco cessation programs for this population should consider screening for PTSD and fostering a trauma-sensitive treatment environment. IMPLICATIONS: In this study of homeless cigarette smokers in Boston, over two-thirds of participants screened positive for PTSD. PTSD screen-positive respondents more strongly endorsed multiple positive smoking outcome expectancies than screen-negative individuals. These findings suggest that the psychological sequelae of trauma may be a pervasive but under-recognized factor impacting the persistence of smoking among homeless people. Tobacco cessation programs for this population should consider screening for PTSD, fostering a trauma-sensitive treatment environment, and incorporating strategies that have shown promise in smokers with PTSD.

Tobacco-, alcohol-, and drug-attributable deaths and their contribution to mortality disparities in a cohort of homeless adults in Boston.

OBJECTIVES: We quantified tobacco-, alcohol-, and drug-attributable deaths and their contribution to mortality disparities among homeless adults. METHODS: We ascertained causes of death among 28 033 adults seen at the Boston Health Care for the Homeless Program in 2003 to 2008. We calculated population-attributable fractions to estimate the proportion of deaths attributable to tobacco, alcohol, or drug use. We compared attributable mortality rates with those for Massachusetts adults using rate ratios and differences. RESULTS: Of 1302 deaths, 236 were tobacco-attributable, 215 were alcohol-attributable, and 286 were drug-attributable. Fifty-two percent of deaths were attributable to any of these substances. In comparison with Massachusetts adults, tobacco-attributable mortality rates were 3 to 5 times higher, alcohol-attributable mortality rates were 6 to 10 times higher, and drug-attributable mortality rates were 8 to 17 times higher. Disparities in substance-attributable deaths accounted for 57% of the all-cause mortality gap between the homeless cohort and Massachusetts adults. CONCLUSIONS: In this clinic-based cohort of homeless adults, over half of all deaths were substance-attributable, but this did not fully explain the mortality disparity with the general population. Interventions should address both addiction and non-addiction sources of excess mortality.