Identifying Areas with Disproportionate Local Health Department Services Relative to Opioid Overdose, HIV and Hepatitis C Diagnosis Rates: A Study of Rural Illinois

How do people who use opioids express their qualities and capacities? An assessment of attitudes, behaviors, and opportunities

People who nonmedically use drugs (PWUD) face intricate social issues that suppress self-actualization, communal integration, and overall health and wellness. "Strengths-based" approaches, an under-used pedagogy and practice in addiction medicine, underscore the significance of identifying and recognizing the inherent and acquired skills, attributes, and capacities of PWUD. A strengths-based approach engenders client affirmation and improves their capacity to reduce drug use-related harms by leveraging existing capabilities. Exploring this paradigm, we conducted and analyzed interviews with 46 PWUD who were clients at syringe services programs in New York City and rural southern Illinois, two areas with elevated rates of opioid-related morbidity and mortality, to assess respondents' perceived strengths. We located two primary thematic modalities in which strengths-based ethos is expressed: individuals (1) being and advocate and resource for harm reduction knowledge and practices and (2) engaging in acts of continuous self-actualization. These dynamics demonstrate PWUD strengths populating and manifesting in complex ways that both affirm and challenge humanist and biomedical notions of individual agency, as PWUD refract enacted, anticipated, and perceived stigmas. In conclusion, programs that blend evidence-based, systems-level interventions on drug use stigma and disenfranchisement with meso and micro-level strengths-based interventions that affirm and leverage personal identity, decision-making capacity, and endemic knowledge may help disrupt health promotion cleavages among PWUD.

Disentangling opioids-related overdose syndemics: a scoping review

This article reviews research investigating the synergistic interaction of opioid-related morbidity and mortality with other social, psychiatric, and biological conditions, to describe how and why it is syndemic. Opioid-related overdose syndemics are driven by commercial interests, emerging in communities facing social and economic disadvantage, and interacting with a range of other health conditions. We included articles that empirically investigated an opioid-related syndemic, discussed syndemic co-factors associated with opioid use, or framed opioid consumption conceptually in relation to syndemics. Most articles were conducted in and first authored by investigators from North America. These articles were published in journals focused on general public health (n = 20), drug use and addiction (n = 18), and infectious disease or HIV (n = 15). Most original research articles (n = 60) employed quantitative methods. Unlike scholarship from other disciplines, specifically the controversial "Deaths of Despair" (DoD) framework, most research on opioid-related overdose syndemics fails to fully articulate the macro-structural drivers of localized disease clustering. Instead, the syndemics scholarship emphasizes the clinical manifestations of opioid and substance use, illustrating a problem in translation at the heart of syndemic theory. Moreover, syndemics scholarship on opioid impacts remains largely disconnected from the wider DoD discourse, which represents a missed opportunity for equity-oriented research. Re-directing attention to the sociopolitical forces that shape opioid-related overdose syndemics is necessary to prevent future commercially-driven health crises and repair lives harmed by these deadly syndemics.

Distance, access and equity: a cross-sectional geospatial analysis of disparities in access to primary care for French-only speakers in Ottawa, Ontario

BACKGROUND

Although language concordance between patients and primary care physicians results in better quality of care and health outcomes, little research has explored inequities in travel burden to access primary care people of linguistic minority groups in Canada. We sought to investigate the travel burden of language-concordant primary care among people who speak French but not English (French-only speakers) and the general public in Ottawa, Ontario, and any inequities in access across language groups and neighbourhood ruralities.

METHODS

Using a novel computational method, we estimated travel burden to language-concordant primary care for the general population and French-only speakers in Ottawa. We used language and population data from Statistics Canada's 2016 Census, neighbourhood demographics from the Ottawa Neighbourhood Study, and collected the main practice location and language of primary care physicians from the College of Physicians and Surgeons of Ontario. We measured travel burden using Valhalla, an open-source road-network analysis platform.

RESULTS

We included data from 869 primary care physicians and 916 855 patients. Overall, French-only speakers faced greater travel burdens than the general population to access language-concordant primary care. Median differences in travel burden were statistically significant but small (median difference in drive time 0.61 min, p < 0.001, interquartile range 0.26-1.17 min), but inequities in travel burden between groups were larger among people living in rural neighbourhoods.

INTERPRETATION

French-only speakers in Ottawa face modest - but statistically significant - overall inequities in travel burden when accessing primary care, compared with the general population, and higher inequities in specific neighbourhoods. Our results are of interest to policy-makers and health system planners, and our methods can be replicated and used as comparative benchmarks to quantify access disparities for other services and regions across Canada.

How the rural risk environment underpins hepatitis C risk: Qualitative findings from rural southern Illinois, United States

BACKGROUND

Hepatitis C virus (HCV) infection has increased among persons who inject drugs (PWID) in the United States with disproportionate burden in rural areas. We use the Risk Environment framework to explore potential economic, physical, social, and political determinants of hepatitis C in rural southern Illinois.

METHODS

Nineteen in-depth semi-structured interviews were conducted with PWID from August 2019 through February 2020 (i.e., pre-COVID-19 pandemic) and four with key informants who professionally worked with PWID. Interviews were recorded, professionally transcribed, and coded using qualitative software. We followed a grounded theory approach for coding and analyses.

RESULTS

We identify economic, physical, policy, and social factors that may influence HCV transmission risk and serve as barriers to HCV care. Economic instability and lack of economic opportunities, a lack of physically available HCV prevention and treatment services, structural stigma such as policies that criminalize drug use, and social stigma emerged in interviews as potential risks for transmission and barriers to care.

CONCLUSION

The rural risk environment framework acknowledges the importance of community and structural factors that influence HCV infection and other disease transmission and care. We find that larger structural factors produce vulnerabilities and reduce access to resources, which negatively impact hepatitis C disease outcomes.

I Don't Believe a Person Has to Die When Trying to Get High: Overdose Prevention and Response Strategies in Rural Illinois

BACKGROUND

Overdose is a leading cause of morbidity and mortality among people who inject drugs. Illicitly manufactured fentanyl is now a major driver of opioid overdose deaths.

METHODS

Semi-structured interviews were conducted with 23 participants (19 persons who inject drugs and 4 service providers) from rural southern Illinois. Data were analyzed using constant comparison and theoretical sampling methods.

RESULTS

Participants were concerned about the growing presence of fentanyl in both opioids and stimulants, and many disclosed overdose experiences. Strategies participants reported using to lower overdose risk included purchasing drugs from trusted sellers and modifying drug use practices by partially injecting and/or changing the route of transmission. Approximately half of persons who inject drugs sampled had heard of fentanyl test strips, however fentanyl test strip use was low. To reverse overdoses, participants reported using cold water baths. Use of naloxone to reverse overdose was low. Barriers to naloxone access and use included fear of arrest and opioid withdrawal.

CONCLUSIONS

People who inject drugs understood fentanyl to be a potential contaminant in their drug supply and actively engaged in harm reduction techniques to try to prevent overdose. Interventions to increase harm reduction education and information about and access to fentanyl test strips and naloxone would be beneficial.

Individual, interpersonal, and neighborhood measures associated with opioid use stigma: Evidence from a nationally representative survey

Despite growing awareness of opioid use disorder (OUD), fatal overdoses and downstream health conditions (e. g., hepatitis C and HIV) continue to rise in some populations. Various interrelated structural forces, together with social and economic determinants, contribute to this ongoing crisis; among these, access to medications for opioid use disorder (MOUD) and stigma towards people with OUD remain understudied. We combined data on methadone, buprenorphine, and naltrexone providers from SAMHSA’s 2019 directory, additional naltrexone providers from Vivitrol’s location finder service, with a nationally representative survey called “The AmeriSpeak survey on stigma toward people with OUD.” Integrating the social-ecological framework, we focus on individual characteristics, personal and family members’ experience with OUD, and spatial access to MOUD at the community level. We use nationally representative survey data from 3008 respondents who completed their survey in 2020. Recognizing that stigma is a multifaceted construct, we also examine how the process varies for different types of stigma, specifically perceived dangerousness and untrustworthiness, as well as social distancing measures under different scenarios. We found a significant association between stigma and spatial access to MOUD — more resources are related to weaker stigma. Respondents had a stronger stigma towards people experiencing current OUD (versus past OUD), and they were more concerned about OUD if the person would marry into their family (versus being their coworkers). Additionally, respondents’ age, sex, education, and personal experience with OUD were also associated with their stigma, and the association can vary depending on the specific type of stigma. Overall, stigma towards people with OUD was associated with both personal experiences and environmental measures.

Spatial epidemiology: An empirical framework for syndemics research

Syndemics framework describes two or more co-occurring epidemics that synergistically interact with each other and the complex structural social forces that sustain them leading to excess disease burden. The term syndemic was first used to describe the interaction between substance abuse, violence, and AIDS by Merrill Singer. A broader range of syndemic studies has since emerged describing the framework's applicability to other public health scenarios. With syndemic theory garnering significant attention, the focus is shifting towards developing robust empirical analytical approaches. Unfortunately, the complex nature of the disease-disease interactions nested within several social contexts complicates empirical analyses. In answering the call to analyze syndemics at the population level, we propose the use of spatial epidemiology as an empirical framework for syndemics research. Spatial epidemiology, which typically relies on geographic information systems (GIS) and statistics, is a discipline that studies spatial variations to understand the geographic landscape and the risk environment within which disease epidemics occur. GIS maps provide visualization aids to investigate the spatial distribution of disease outcomes, the associated social factors, and environmental exposures. Analytical inference, such as estimation of disease risks and identification of spatial disease clusters, can provide a detailed statistical view of spatial distributions of diseases. Spatial and spatiotemporal models can help us to understand, measure, and analyze disease syndemics as well as the social, biological, and structural factors associated with them in space and time. In this paper, we present a background on syndemics and spatial epidemiological theory and practice. We then present a case study focused on the HIV and HCV syndemic in West Virginia to provide an example of the use of GIS and spatial analytical methods. The concepts described in this paper can be considered to enhance understanding and analysis of other syndemics for which space-time data are available.

Can we better understand severe mental illness through the lens of Syndemics?

Current health care systems do not sufficiently address contributors, also known as modifiable behavior factors, to severe mental illnesses (SMI). Instead treatment is focused on decreasing symptom-experience rather than reducing the detrimental effect of biological predisposition and behavioral influences on illness. Health care services and patients alike call for a more comprehensive, individual approach to mental health care, especially for people with SMI. A Syndemics framework has been previously used to identify ecological and social contributors to an HIV epidemic in the 1990s, and the same framework is transferable to mental health research to identify the relationship between contributing factors and the outcomes of SMI. Using this approach, a holistic insight into mental illness experience could inform more effective health care strategies that lessen the burden of disease on people with SMI. In this review, the components of a Syndemic framework, the scientific contributions to the topic so far, and the possible future of mental health research under the implementation of a Syndemic framework approach are examined.

Faith leaders' perceptions of needle exchange programs in the rural Illinois Delta Region: Religion as a social determinant of health

BACKGROUND AND OBJECTIVES

Despite increasing drug use in rural communities, potentially life-saving harm reduction interventions, such as needle exchange programs (NEPs), remain underutilized. Religion is an integral component of the rural culture that has been shown to influence health, yet no studies to date have explored rural faith leaders' perceptions of harm reduction strategies.

METHODS

An online cross-sectional survey was conducted among rural faith leaders (n = 133) in the rural Illinois Delta Region.

RESULTS

While most of the respondents felt that drug abuse was an issue in their communities, support was mixed regarding whether they were in favor of NEPs with the majority of respondents having never heard of an NEP before this survey. While the majority believed that NEPs would help decrease bloodborne disease transmission, it was also perceived that NEPs would increase drug use. Significant differences in perceptions based on race, marital status, and political party also exist.

CONCLUSION AND SCIENTIFIC SIGNIFICANCE

Congruent with previous harm reduction literature, many rural faith leaders have varied perceptions of NEPs. Rural faith leaders could benefit from education about NEPs, including the possible positive and negative impacts they can have on the community. Future studies should explore contextual differences among rural faith leaders. To date, no studies have examined faith-based organizations' perceptions of NEPs. The findings have the potential to increase the current body of knowledge and provide data to support recommendations for engaging faith-based organizations in behavioral health service delivery.

A Vulnerability Assessment for a Future HIV Outbreak Associated With Injection Drug Use in Illinois, 2017-2018

The current opioid crisis and the increase in injection drug use (IDU) have led to outbreaks of HIV in communities across the country. These outbreaks have prompted country and statewide examination into identifying factors to determine areas at risk of a future HIV outbreak. Based on methodology used in a prior nationwide county-level analysis by the US Centers for Disease Control and Prevention (CDC), we examined Illinois at the ZIP code level (n = 1,383). Combined acute and chronic hepatitis C virus (HCV) infection among persons <40 years of age was used as an outcome proxy measure for IDU. Local and statewide data sources were used to identify variables that are potentially predictive of high risk for HIV/HCV transmission that fell within three main groups: health outcomes, access/resources, and the social/economic/physical environment. A multivariable negative binomial regression was performed with population as an offset. The vulnerability score for each ZIP code was created using the final regression model that consisted of 11 factors, six risk factors, and five protective factors. ZIP codes identified with the highest vulnerability ranking (top 10%) were distributed across the state yet focused in the rural southern region. The most populous county, Cook County, had only one vulnerable ZIP code. This analysis reveals more areas vulnerable to future outbreaks compared to past national analyses and provides more precise indications of vulnerability at the ZIP code level. The ability to assess the risk at sub-county level allows local jurisdictions to more finely tune surveillance and preventive measures and target activities in these high-risk areas. The final model contained a mix of protective and risk factors revealing a heightened level of complexity underlying the relationship between characteristics that impact HCV risk. Following this analysis, Illinois prioritized recommendations to include increasing access to harm reduction services, specifically sterile syringe services, naloxone access, infectious disease screening and increased linkage to care for HCV and opioid use disorder.

How urban and rural built environments influence the health attitudes and behaviors of people who use drugs

Research suggests that the built environment is associated with drug use. However, there is limited scholarship focusing on specific features of the built environment that influence drug use behaviors, experiences, and patterns and how risk factors for drug use are placed in distinctive urban and rural settings. Applying Neely and Samura's conceptual theory that describes space as contested, fluid and historical, interactional and relational, and defined by inequality and difference, we assessed data from semi-structured qualitative interviews conducted between 2019 and 2020 with consumers at syringe exchange programs (SEPs) in an urban location (New York City) and a rural location (southern Illinois). We aimed to contextualize how drug use manifests in each space. In total, 65 individuals, including 59 people who use drugs (PWUD) and six professionals who worked with PWUD, were interviewed. Findings illustrate that, in both the urban and rural setting, the built environment regulates the drug use milieu by mediating social reproduction, namely the degree of agency PWUD exert to acquire and use drugs where they desire. Processes of "stigma zoning," defined as socio-spatial policing of boundaries of behavior deemed undesirable or deviant, impacted PWUD's socio-geographic mobility, social conditions, and resource access, and modulated PWUD's broader capacity and self-efficacy. Similar patterns of drug use, according to social and economic inequities chiefly related to housing instability, were further observed in both settings.

A Bivariate Mapping Tutorial for Cancer Control Resource Allocation Decisions and Interventions

Bivariate choropleth mapping is a straightforward but underused method for displaying geographic health information to use in public health decision making. Previous studies have recommended this approach for state comprehensive cancer control planning and similar efforts. In this method, 2 area-level variables of interest are mapped simultaneously, often as overlapping quantiles or by using other classification methods. Variables to be mapped may include area-level (eg, county level) measures of disease burden, health care use, access to health care services, and sociodemographic characteristics. We demonstrate how geographic information systems software, specifically ArcGIS, can be used to develop bivariate choropleth maps to inform resource allocation and public health interventions. We used 2 types of county-level public health data: South Carolina’s Behavioral Risk Factor Surveillance System estimates of ever having received cervical cancer screening, and a measure of availability of cervical cancer screening providers that are part of South Carolina’s Breast and Cervical Cancer Early Detection Program. Identification of counties with low screening rates and low access to care may help inform where additional resources should be allocated to improve access and subsequently improve screening rates. Similarly, identifying counties with low screening rates and high access to care may help inform where educational and behavioral interventions should be targeted to improve screening in areas of high access.