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.

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.

Awareness, Utilization, and Preferences of Harm Reduction Interventions among Street-Involved Young Adults in Boston.

OBJECTIVES: This study explores knowledge and utilization of, barriers to, and preferences for harm reduction services among street-involved young adults (YA) in Boston, Massachusetts. METHODS: This cross-sectional survey of YA encountered between November and December 2019 by a longstanding outreach program for street-involved YA. We report descriptive statistics on participant-reported substance use, knowledge and utilization of harm reduction strategies, barriers to harm reduction services and treatment, and preferences for harm reduction service delivery. RESULTS: The 52 YA surveyed were on average 21.4 years old; 63.5% were male, and 44.2% were Black. Participants reported high past-week marijuana (80.8%) and alcohol (51.9%) use, and 15.4% endorsed opioid use and using needles to inject drugs in the past six months. Fifteen (28.8%) YA had heard of "harm reduction", and 17.3% reported participating in harm reduction services. The most common barriers to substance use disorder treatment were waitlists and cost. Participants suggested that harm reduction programs offer peer support (59.6%) and provide a variety of services including pre-exposure prophylaxis (42.3%) and sexually transmitted infection testing (61.5%) at flexible times and in different languages, including Spanish (61.5%) and Portuguese (17.3%). CONCLUSIONS: There is need for comprehensive, YA-oriented harm reduction outreach geared toward marginalized YA and developed with YA input to reduce barriers, address gaps in awareness and knowledge of harm reduction, and make programs more relevant and inviting to YA.

The impact of the housing status on clinical outcomes and health care utilization among individuals living with HIV.

The lack of stable housing can impair access and continuity of care for patients living with human immunodeficiency virus (HIV). This study investigated the relationship between housing status assessed at multiple time points and several core HIV-related outcomes within the same group of HIV patients experiencing homelessness. Patients with consistently stable housing (CSH) during the year were compared to patients who lacked CSH (non-CSH group). The study outcomes included HIV viral load (VL), CD4 counts, and health care utilization. Multivariable and propensity weighted analyses were used to assess outcomes adjusting for potential group differences. Of 208 patients, 88 (42%) had CSH and 120 (58%) were non-CSH. Patients with CSH had significantly higher proportion of VL suppression and higher mean CD4 counts. The frequency of nurse visits in the CSH group was less than a half of that in the non-CSH group. Patients with CSH were less likely to be admitted to the medical respite facility, and if admitted, their length of stay was about a half of that for the non-CSH group. Our study findings show that patients with CSH had significantly better HIV virologic control and immune status as well as improved health care utilization.

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.

"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.

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.

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.

The willingness of people who inject drugs in Boston to use a supervised injection facility.

BACKGROUND: In Massachusetts, the number of opioid-related deaths has increased 350% since 2000. In the setting of increasing overdose deaths, one potential intervention is supervised injection facilities (SIFs). This study explores willingness of people who inject drugs in Boston to use a SIF and examines factors associated with willingness. METHODS: A cross-sectional survey of a convenience sample of 237 people who inject drugs and utilize Boston's needle exchange program (NEP). The drop-in NEP provides myriad harm reduction services and referrals to addiction treatment. The survey was mostly self-administered (92%). RESULTS: Results showed positive willingness to use a SIF was independently associated with use of heroin as main substance (odds ratio [OR]: 5.47; 95% confidence interval [CI]: 1.9-15.4; P = .0004), public injection (OR: 5.09; 95% CI: 1.8-14.3; P = .002), history of seeking substance use disorder (SUD) treatment (OR: 4.99; 95% CI: 1.2-21.1; P = .05), having heard of SIF (OR: 4.80; 95% CI: 1.6-14.8; P = .004), Hispanic ethnicity (OR: 4.22; 95% CI: 0.9-18.8; P = .04), frequent NEP use (OR: 4.18; 95% CI: 1.2-14.7; P = .02), current desire for SUD treatment (OR: 4.15; 95% CI: 1.2-14.7; P = .03), hepatitis C diagnosis (OR: 3.68; 95% CI: 1.2-10.1; P = .02), posttraumatic stress disorder (PTSD) diagnosis (OR: 3.27; 95% CI: 1.3-8.4; P = .01), report of at least 1 chronic medical diagnosis (hepatitis C, human immunodeficiency virus [HIV], hypertension, or diabetes) (OR: 3.27; 95% CI: 1.2-8.9; P = .02), and comorbid medical and mental health diagnoses (OR: 2.93; 95% CI: 1.2-7.4; P = .02). CONCLUSIONS: Most respondents (91.4%) reported willingness to use a SIF. Respondents with substance use behavior reflecting high risk for overdose were significantly more likely to be willing to use a SIF. Respondents with behaviors that contribute to public health burden of injection drug use were also significantly more likely to be willing to use a SIF. Results indicate that this intervention would be well utilized by individuals who could most benefit from the model. As part of a broader public health approach, SIFs should be considered to reduce opioid overdose mortality, decrease public health burden of the opioid crisis, and promote access to addiction treatment and medical care.

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.

"I'm on the Right Path": Exploring 1-Month Retention in a Homeless-Tailored Outpatient-Based Opioid Treatment Program.

BACKGROUND: Homeless-tailored office-based opioid treatment (OBOT) programs have been developed to address the ongoing opioid overdose crisis, which disproportionately affects people experiencing homelessness. The objective of this study was to evaluate the facilitators of and barriers to retention in a homeless-tailored OBOT program. METHODS: We performed in-depth qualitative interviews with 24 homeless-experienced adults who newly enrolled in Boston Health Care for the Homeless Program's OBOT program from January 6, 2022 through January 5, 2023. We purposively sampled participants based on whether they were retained at 1 month (n = 12) or not (n = 12). We used an abductive analytic process, applying codes to the interview transcripts from an a priori analytic framework based on the Behavioral Model for Vulnerable Populations and supplementing with emergent codes as needed. We compared themes by participants' 1-month retention status to explore facilitators of and barriers to retention in OBOT care. RESULTS: The average age was 41.9 years, 29.2% were female, 20.8% were Black, 58.3% were White, and 33.0% were Hispanic. Facilitators of retention common to many participants included the clinic experience, low-threshold model, clinic staff, and provision of comprehensive care. Among participants who were retained at 1-month, personal motivation, use of extended-release buprenorphine, and adequate buprenorphine efficacy were additional facilitators. Barriers to retention common to many participants included the clinic's surrounding environment, competing subsistence difficulties, and transportation difficulty. Among participants who were not retained at 1-month, opioid use severity, drug use in social networks, and inadequate buprenorphine efficacy represented additional barriers. CONCLUSIONS: We identified several common determinants of OBOT retention among our homeless-experienced participants as well as some facilitators and barriers that differed by 1-month retention status. These divergent factors represent potential points of intervention to promote retention in homeless-tailored OBOT programs.

Developing a Women's Health track within addiction medicine fellowship: reflections and inspirations.

BACKGROUND: Women who use drugs face sexism and intersectional stigma that influence their drug use experiences and treatment needs. There is a need to build the capacity of addiction medicine specialists who can deliver gender-responsive services and advance research and policy in women-focused addiction care. We describe the development of a Women's Health track within an addiction medicine fellowship program and reflect on successes, challenges, and future directions. MAIN BODY: The Women's Health track was developed in collaboration between program leaders in Addiction Medicine and Obstetrics/Gynecology. Implementing the track led to the development of women-focused rotations and continuity clinics, as well as enrichment of women's health didactic education for all fellows. The fellowship track spurred interdepartmental mentorship and collaboration on research and advocacy projects. CONCLUSION: Addiction medicine fellowships can replicate this curriculum model to advance women-focused education, research, and policy. Future curricula should focus on structural sexism in drug use and addiction treatment throughout a woman's life course.

Mortality by Age, Gender, and Race and Ethnicity in People Experiencing Homelessness in Boston, Massachusetts.

Importance: People experiencing homelessness (PEH) face disproportionately high mortality rates compared with the general population, but few studies have examined mortality in this population by age, gender, and race and ethnicity. Objective: To evaluate all-cause and cause-specific mortality in a large cohort of PEH by age, gender, and race and ethnicity. Design, Setting, and Participants: An observational cohort study was conducted from January 1, 2003, to December 31, 2018. All analyses were performed between March 16, 2021, and May 12, 2022. A cohort of adults (age ≥18 years) seen at the Boston Health Care for the Homeless Program (BHCHP), a large federally funded Health Care for the Homeless organization in Boston, Massachusetts, from January 1, 2003, to December 31, 2017, was linked to Massachusetts death occurrence files spanning January 1, 2003, to December 31, 2018. Main Outcomes and Measures: Age-, gender-, and race and ethnicity-stratified all-cause and cause-specific mortality rates were examined and compared with rates in the urban Northeast US population using mortality rate ratios (RRs). Results: Among the 60 092 adults included in the cohort with a median follow-up of 8.6 (IQR, 5.1-12.5) years, 7130 deaths occurred. The mean (SD) age at death was 53.7 (13.1) years; 77.5% of decedents were men, 21.0% Black, 10.0% Hispanic/Latinx, and 61.5% White. The all-cause mortality rate was 1639.7 deaths per 100 000 person-years among men and 830 deaths per 100 000 person-years among women. The all-cause mortality rate was highest among White men aged 65 to 79 years (4245.4 deaths per 100 000 person-years). Drug overdose was a leading cause of death across age, gender, and race and ethnicity groups, while suicide uniquely affected young PEH and HIV infection and homicide uniquely affected Black and Hispanic/Latinx PEH. Conclusions and Relevance: In this large cohort study of PEH, all-cause and cause-specific mortality varied by age, gender, and race and ethnicity. Tailored interventions focusing on those at elevated risk for certain causes of death are essential for reducing mortality disparities across homeless-experienced groups.

Drug Overdose Mortality Among People Experiencing Homelessness, 2003 to 2018.

Importance: Despite high rates of drug overdose death among people experiencing homelessness, patterns in drug overdose mortality, including the types of drugs implicated in overdose deaths, remain understudied in this population. Objective: To describe the patterns in drug overdose mortality among a large cohort of people experiencing homelessness in Boston vs the general adult population of Massachusetts and to evaluate the types of drugs implicated in overdose deaths over a continuous 16-year period of observation. Design, Setting, and Participants: This cohort study analyzed adults aged 18 years or older who received care at Boston Health Care for the Homeless Program (BHCHP) between January 1, 2003, and December 31, 2017. Individuals were followed up from the date of their initial BHCHP encounter during the study period until the date of death or December 31, 2018. Data were analyzed from December 1, 2020, to June 6, 2021. Main Outcomes and Measures: Drug overdose deaths and the types of drugs involved in each overdose death were ascertained by linking the BHCHP cohort to the Massachusetts Department of Public Health death records. Results: In this cohort of 60 092 adults experiencing homelessness (mean [SD] age at entry, 40.4 [13.1] years; 38 084 men [63.4%]), 7130 individuals died by the end of the study period. A total of 1727 individuals (24.2%) died of a drug overdose. Of the drug overdose decedents, 456 were female (26.4%), 194 were Black (11.2%), 202 were Latinx (11.7%), and 1185 were White (68.6%) individuals, and the mean (SD) age at death was 43.7 (10.8) years. The age- and sex-standardized drug overdose mortality rate in the BHCHP cohort was 278.9 (95% CI, 266.1-292.3) deaths per 100 000 person-years, which was 12 times higher than the Massachusetts adult population. Opioids were involved in 91.0% of all drug overdose deaths. Between 2013 and 2018, the synthetic opioid mortality rate increased from 21.6 to 327.0 deaths per 100 000 person-years. Between 2004 and 2018, the opioid-only overdose mortality rate decreased from 117.2 to 102.4 deaths per 100 000 person-years, whereas the opioid-involved polysubstance mortality rate increased from 44.0 to 237.8 deaths per 100 000 person-years. Among opioid-involved polysubstance overdose deaths, cocaine-plus-opioid was the most common substance combination implicated throughout the study period, with Black individuals having the highest proportion of cocaine-plus-opioid involvement in death (0.72 vs 0.62 in Latinx and 0.53 in White individuals; P < .001). Conclusions and Relevance: In this cohort study of people experiencing homelessness, drug overdose accounted for 1 in 4 deaths, with synthetic opioid and polysubstance involvement becoming predominant contributors to mortality in recent years. These findings emphasize the importance of increasing access to evidence-based opioid overdose prevention strategies and opioid use disorder treatment among people experiencing homelessness, while highlighting the need to address both intentional and unintentional polysubstance use in this population.