Examining Rural/Urban Differences in Prescription Opioid Misuse Among US Adolescents

Using machine learning to predict opioid misuse among U.S. adolescents

This study evaluated prediction performance of three different machine learning (ML) techniques in predicting opioid misuse among U.S. adolescents. Data were drawn from the 2015-2017 National Survey on Drug Use and Health (N = 41,579 adolescents, ages 12-17 years) and analyzed in 2019. Prediction models were developed using three ML algorithms, including artificial neural networks, distributed random forest, and gradient boosting machine. The performance of the ML prediction models was compared with performance of the penalized logistic regression. The area under the receiver operating characteristic curve (AUROC) and the area under the precision-recall curve (AUPRC) were used as metrics of prediction performance. We used the AUPRC as the primary measure of prediction performance given that it is considered more informative for assessing binary classifiers on imbalanced outcome variable than AUROC. The overall rate of opioid misuse among U.S. adolescents was 3.7% (n = 1521). Prediction performance was similar across the four models (AUROC values range from 0.809 to 0.815). In terms of the AUPRC, the distributed random forest showed the best performance in prediction (0.172) followed by penalized logistic regression (0.162), gradient boosting machine (0.160), and artificial neural networks (0.157). Findings suggest that machine learning techniques can be a promising technique especially in the prediction of outcomes with rare cases (i.e., when the binary outcome variable is heavily lopsided) such as adolescent opioid misuse.

Rural-Urban Disparities in Pregnancy Intentions, Births, and Abortions Among US Adolescent and Young Women, 1995-2017

Objectives. To examine rural-suburban-urban disparities in intendedness and resolution of first pregnancies among adolescent and young women (aged 15-19 and 20-24 years) across racial/ethnic backgrounds in the United States.Methods. We used the National Survey of Family Growth and pooled pregnancy files from 2002 through the 2015-2017 surveys. We report baseline rural-suburban-urban disparities in first pregnancy intention and outcomes. We used multinomial logistic regression to estimate these disparities, accounting for sociodemographic background, religious upbringing, and other factors.Results. The first adolescent pregnancies of rural women were more likely to be unintended and end in live birth relative to their urban counterparts. Disparities were most striking among Black adolescents, with about 60% of first adolescent pregnancies among rural Black women being unintended and ending in live birth (urban: 51%). Newly collected state health department data on rural and urban adolescent births and abortions corroborate the findings from the National Survey of Family Growth.Conclusions. Rural-urban differences in the share of first adolescent pregnancies ending in live births are not accounted for by pregnancy intention or confounding individual-level characteristics. Future research should explore the role of structural barriers, including access to family planning and abortion services.

Addressing the context and consequences of substance use, misuse, and dependence: A global imperative

In an Editorial, Guest Editors Alexander Tsai, Margarita Alegria and Steffanie Strathdee discuss the accompanying Special Issue on Substance Use, Misuse and Dependence.

Adverse childhood experiences predict opioid relapse during treatment among rural adults

Adverse childhood experiences (ACE) are a public health concern and strong predictor of substance abuse, but no studies to date have explored the association between ACE and opioid relapse during medication-assisted treatment. Using an observational design, we examined this relationship using archived medical records of 87 patients who attended opioid use disorder treatment (buprenorphine-naloxone and group counseling) at a rural medical clinic. All variables were collected from medical files. ACE scores were derived from a 10-item screening questionnaire administered at intake, a regular procedure for this clinic. The primary outcome was opioid relapse observed at each visit, as indicated by self-reported opioid use, positive urine drug screen for opioids, or prescription drug database results for opioid acquisition. The sample was 100% Caucasian and 75% male. A total of 2052 visit observations from the 87 patients were extracted from the medical records. Patients had an average of 23.6 (SD = 22) treatment visits. Opioid relapse occurred in 54% of patients. Results indicated that for every unit increase in ACE score, there was an increase of 17% in the odds of relapse (95% CI: 1.05-1.30, p = .005). Additionally, each treatment visit was associated with a 2% reduction in the odds of opioid relapse (95% CI: 0.97-0.99, p = .008). We conclude that ACE may increase the risk for poor response to buprenorphine-naloxone treatment due to high rates of opioid relapse during the first treatment visits. However, consistent adherence to treatment is likely to reduce the odds of opioid relapse.

Capacity of juvenile probation officers in low-resourced, rural settings to deliver an evidence-based substance use intervention to adolescents

Substance use is a major public health problem with a host of negative outcomes. Justice-involved youth have even higher risks and lack access to evidence-based interventions, particularly in rural communities. Task-shifting, or redistribution of tasks downstream to an existing workforce with less training, may be an innovative strategy to increase access to evidence-based interventions. Initial findings are presented from a services research trial conducted primarily in rural communities in which an existing workforce, juvenile probation/parole officers (JPOs), were randomized either to learn and deliver contingency management (CM) or to continue delivering probation services as usual (PAU). This study used the prevailing version of CM for adolescents, that is, family-based with behavior modification and cognitive behavioral components. Data included JPOs' self-reports, as well as audio-recorded youth/family sessions with JPOs rated by expert and trained observational coders. Data also included ratings from a comparison study in which therapists were trained and supervised by experts to deliver CM to justice-involved youth/families. Results showed JPOs can feasibly incorporate CM into their services. When adherence of CM JPOs was compared against CM therapists, JPOs delivered significantly more cognitive behavioral components of CM and similar levels of behavior modification components of CM. These findings suggest that JPOs can be leveraged to provide evidence-based substance use interventions like CM in similar, or even greater, capacities to clinically trained therapists. This task-shifting approach could dramatically expand service access for these high-risk youth, particularly in rural areas where substance use services are limited or nonexistent. (PsycINFO Database Record (c) 2020 APA, all rights reserved).

Methadone Matters: What the United States Can Learn from the Global Effort to Treat Opioid Addiction

In the midst of an opioid epidemic, mortality related to opioid overdose continues to rise in the US. Medications to treat opioid use disorder, including methadone and buprenorphine, are highly effective in reducing the morbidity and mortality related to illicit opioid use. Despite the efficacy of these life-saving medications, the majority of people with an opioid use disorder lack access to treatment. This paper briefly reviews the evidence to support the use of medications to treat opioid use disorder with a specific focus on methadone. We discuss the current state of methadone therapy for the treatment of opioid use disorder in the US and present logistical barriers that limit its use. Next, we examine three international pharmacy-based models in which methadone dispensing to treat opioid use disorder occurs outside of an opioid treatment facility. We discuss current challenges and opportunities to incorporate similar methods of methadone dispensing for the treatment of opioid use disorder in the US. Finally, we present our vision to integrate pharmacy-based methadone dispensing into routine opioid use disorder treatment through collaboration between clinicians and pharmacies to improve local access to this life-saving medication.

Culturally relevant risk and protective factors for nonmedical use of prescription opioids among incarcerated African American men

BACKGROUND

Recent studies have demonstrated that nonmedical use of prescription opioids (NMUPO) is a national phenomenon affecting a multitude of subpopulations, including incarcerated African American men. However, there has been little investigation of the correlates of NMUPO among this population.

OBJECTIVE

Grounded in primary socialization theory, the current study aimed to examine the association between family bonds, family history of prescription drug misuse, and mental health symptoms on NMUPO among African American incarcerated men.

METHOD

A step-wise logistic regression was conducted to determine whether family and mental health factors affected the likelihood of lifetime NMUPO.

RESULTS

Prescription drug misuse among immediate family members (p < 0.001) and lifetime experience of serious anxiety (p = 0.003) were significantly associated with an increased likelihood of NMUPO. Having a close personal relationship with one's father was significantly associated with a decreased likelihood of NMUPO (p = 0.034).

CONCLUSIONS/IMPORTANCE

Risk and protective factors are identified that can be incorporated into interventions aimed at reducing or preventing NMUPO among African American men. Directions for future research on NMUPO among African American incarcerated men are discussed.

Prescription opioid misuse among African-American adults: A rural-urban comparison of prevalence and risk

BACKGROUND

Prescription opioid misuse (POM) remains a public health concern in the United States. Although the problem has been studied extensively, little research attention is paid to POM among African-Americans (AAs), and even fewer studies consider rural status in their analysis. The goal of this study, therefore, was to identify and compare prevalence and predictors of POM among rural and urban AA adults using data from a nationally representative sample.

METHODS

Using pooled data across five years (2012-2016) of the National Survey on Drug Use and Health, multivariate logistic regression models were estimated to determine which factors were associated with POM among AA adults.

RESULTS

Findings show that urban and rural AAs have comparable prevalence rates of POM, which is somewhat surprising given that POM often varies based on rural status. A number of factors (e.g., receiving government assistance, religiosity, smoking tobacco or marijuana, misuse of other prescription medications) were significantly correlated with POM for urban and rural AAs, while others (e.g., being age 50+, graduating high school, visiting an emergency department, being arrested, binge drinking) varied by rural status.

CONCLUSION

Results indicate that AA nonmedical prescription opioid users are not a monolith and have distinct demographic, clinical, and psychosocial profiles based on geographic region. Because AAs have been virtually ignored in the POM literature, our findings are an important step towards understanding POM among this understudied group. These results invite additional investigation into AA POM and encourage researchers to consider rural status in their analysis of POM among AAs.

Social network ties to nightlife and healthcare professionals and prescription drug misuse among young adults

BACKGROUND

Nightlife scenes have been characterized as risk environments where social ecology and network ties facilitate substance use. In contrast to other substances, the prescription drug problem also has been shaped by the healthcare system. How network ties to professionals in these domains are associated with prescription drug misuse remains a key area of study.

METHODS

We analyzed a sample of 404 young adults who misuse prescription drugs, recruited from nightlife venues primarily via time-space sampling. We evaluated nine types of network ties via friends and family (5 nightlife professions and 4 healthcare professions) as well as total ties in each occupational domain and their relationship to three different outcomes - frequency of misuse, escalation to non-oral use, and substance-related problems. Negative binomial, logistic, and linear regression methods were employed. We then examined mechanisms by which these network associations may operate.

RESULTS

Ties to party promoters (p < .05) and bouncers (p < .01) were positively associated with all three outcomes. A single outcome each was associated with ties to DJs (problems, p < .01), musicians (frequency, p < .05), and bartenders (escalation, p < .05). The total number of network ties in the nightlife domain was positively associated with all three outcomes, with each additional tie increasing frequency (20.3%, p < .001), odds of escalation (OR = 42.9%, p < .01), and problems (12.5%, p < .01). The number of sources, peer norm context, and social bonding were explanatory mechanisms for all three outcomes for nightlife networks. Specific occupational ties and the total number of ties to healthcare professionals were not associated with any outcome.

CONCLUSION

Embeddedness in nightlife networks is related to patterns of prescription drug misuse, and some of this association can be explained by multiple mechanisms of social networks. By contrast, ties to healthcare professionals are not associated with patterns of misuse among such young adults.

Brief Alcohol Interventions for Youth in the Emergency Department: Exploring Proximal and Distal Outcomes

Brief interventions (BI) for alcohol use in the emergency department (ED) have been shown efficacious among adolescents and young adults; however, whether these interventions extend to other outcomes - proximal and distal - are less explored. This study examined outcomes of ED BIs in four completed trials showing reductions in alcohol use. Limited and inconsistent effects were found on proximal outcomes including parental monitoring, and distal outcomes including tobacco use. Identifying the mechanisms that underlie alcohol-focused BIs as well the intervention processes that may lead to generalized, positive effects on other variables is an important area of future research.

Opioid Prescribing Rates in Nonmetropolitan and Metropolitan Counties Among Primary Care Providers Using an Electronic Health Record System - United States, 2014-2017

Drug overdose is the leading cause of unintentional injury-associated death in the United States. Among 70,237 fatal drug overdoses in 2017, prescription opioids were involved in 17,029 (24.2%) (1). Higher rates of opioid-related deaths have been recorded in nonmetropolitan (rural) areas (2). In 2017, 14 rural counties were among the 15 counties with the highest opioid prescribing rates.* Higher opioid prescribing rates put patients at risk for addiction and overdose (3). Using deidentified data from the Athenahealth electronic health record (EHR) system, opioid prescribing rates among 31,422 primary care providers^† in the United States were analyzed to evaluate trends from January 2014 to March 2017. This analysis assessed how prescribing practices varied among six urban-rural classification categories of counties, before and after the March 2016 release of CDC's Guideline for Prescribing Opioids for Chronic Pain (Guideline) (4). Patients in noncore (the most rural) counties had an 87% higher chance of receiving an opioid prescription compared with persons in large central metropolitan counties during the study period. Across all six county groups, the odds of receiving an opioid prescription decreased significantly after March 2016. This decrease followed a flat trend during the preceding period in micropolitan and large central metropolitan county groups; in contrast, the decrease continued previous downward trends in the other four county groups. Data from EHRs can effectively supplement traditional surveillance methods for monitoring trends in opioid prescribing and other areas of public health importance, with minimal lag time under ideal conditions. As less densely populated areas appear to indicate both substantial progress in decreasing opioid prescribing and ongoing need for reduction, community health care practices and intervention programs must continue to be tailored to community characteristics.

Co-Occurring Psychiatric and Substance Use Disorders: Clinical Survey Among a Rural Cohort of Italian Patients

PURPOSE

Dual diagnosis (DD) is the co-occurrence of both a mental illness and a substance use disorder (SUD). Lots of studies have analysed the integrated clinical approach, which involves both psychiatry and toxicology medical experts. The purpose of this study is to analyse the socio-demographic characteristics and treatment strategies of patients with DD in a rural area of Italy.

PATIENTS AND METHODS

Clinical data of 750 patients were collected in 2016 through the analysis of health plan records.

RESULTS

The rate of co-occurring disorders is highly variable among people with SUD. In the considered area, patients with DD are 24%, of these only 46.1% have been treated with an integrated clinical program. Moreover, this percentage is further reduced (35.8%) if only patients with heroin use disorder are considered.

CONCLUSION

A comprehensive revision of DD treatment is needed, especially for people suffering from heroin use disorder and living in remote areas. Meticulous data analysis from other addiction health services of rural areas could be necessary to identify a science-based clinical intervention.

Deliberative Prescription Opioid Misuse Among Adolescents andEmerging Adults: Opportunities for Targeted Interventions

BACKGROUND

One in five adolescents and emerging adults have reported prescription opioid misuse (POM), posing significant risks for opioid-related adverse outcomes. Devising prevention strategies requires a better understanding of the decisional factors underlying risky misuse behavior. This research examined the associations between past opioid use behavior, opioid risk knowledge and perceptions, and intentional POM decisions.

METHODS

Participants aged 15-23years completed surveys assessing past prescription opioid use and misuse, opioid risk knowledge, opioid risk perceptions, and pain relief preferences (i.e., analgesic benefit vs. risk aversion preference). The outcome, Willingness to Misuse (i.e., intentional decisions to use a prescription opioid in a non-compliant manner) was measured using hypothetical pain decision scenarios.

RESULTS

Surveys were completed by 972 adolescents and young adults. In total, 44% had taken a prescription opioid and 32% of these reported past POM. Willingness to Misuse was significantly associated with lower opioid misuse risk perceptions (β = .75 [95% CI .66-.86]) and past opioid misuse (β = 1.81 [95% CI 1.13-2.91]) but not simple risk knowledge (β = .81 [95% CI .58-1.11]. The probability of future misuse was highest for those who reported past opioid misuse and had low risk perceptions (58.7% [95% CI 51.3-65.8]) and high pain relief preferences (53.4% [95% CI 45.3%-61.3%]).

CONCLUSIONS

Findings suggest that simple knowledge of prescription opioid risks is insufficient to curtail misuse among adolescents and emerging adults. Rather, it may be important to heighten opioid risk perceptions and strengthen opioid risk aversion values when prescribing opioid analgesics to better prevent future misuse in this high risk population.

Pre-Incarceration Rates of Nonmedical Use of Prescription Drugs among Black Men from Urban Counties

There are inconsistent findings regarding the rates of nonmedical prescription drug use (NMPDU) among Black Americans. The majority of previous studies used pharmaceutical names of drugs and relied on national data that excludes incarcerated populations, in which Black men are overrepresented. Therefore, the current study aimed to describe pre-incarceration rates of NMPDU among Black men in prison using culturally relevant alternative drug names. We recruited 208 incarcerated (adult age 18 or older) Black men nearing community reentry to urban counties from four state prisons in Kentucky. Results indicated the majority of participants engaged in lifetime NMPDU. The most commonly endorsed class of prescription drug was, "Other Sedatives, Hypnotics, and Tranquilizers" and the most commonly endorsed specific prescription drugs were "Syrup," Lortab/Hydrocodone, and Xanax. There were significant age differences in the number of days that drugs were used in the year prior to incarceration. The current study contributes to the dearth of literature on NMPDU among Black Americans. These findings have implications for disease transmission, overdose risk, and culturally relevant data collection methods and interventions aimed at reducing NMPDU among Black men.

Trends and Patterns of Opioid Analgesic Prescribing: Regional and Rural-Urban Variations in Kentucky From 2012 to 2015

PURPOSE

Increased opioid analgesic prescribing (OAP) has been associated with increased risk of prescription opioid diversion, misuse, and abuse. We studied regional and rural-urban variations in OAP trends in Kentucky, from 2012 to 2015, and examined potential county-level risk and protective factors.

METHODS

This study used prescription drug monitoring data. Marginal models employing generalized estimating equations were used to model repeated counts of residents with opioid analgesic prescriptions within county-quarter, 2012-2015, with offset for resident population, by rural-urban classification exposure, and adjusting for time-varying socioeconomic and relevant health status measures.

FINDINGS

There were significant downward trends in rates of residents receiving dispensed opioid analgesic prescriptions, with no regional or rural/urban differences in the degree of decline over time. The adjusted models showed the Kentucky Appalachian region retained a significantly higher rate of residents with opioid analgesic prescriptions per 1,000 residents (30% higher than Central Kentucky and 19% higher than Kentucky Delta regions). Residents of nonmetropolitan not adjacent-to-metropolitan counties had significantly higher adjusted rates of OAP (33% higher than metropolitan counties and 17% higher compared to nonmetropolitan adjacent-to-metropolitan counties). The rate of OAP was significantly positively associated with emergency department visit injury rates and negatively associated with buprenorphine/naloxone prescribing rates.

CONCLUSIONS

Information on OAP trends and patterns will be used by Kentucky stakeholders to inform targeted interventions. Further research is needed to evaluate the availability and accessibility of nonopioid pain treatment in rural counties and the role of geography and time/distance traveled as risk factors for increased OAP.

Medication-Assisted Opioid Treatment Prescribers in Federally Qualified Health Centers: Capacity Lags in Rural Areas

PURPOSE

This study explores correlates of on-site availability of substance use disorder treatment services in federally qualified health centers, including buprenorphine treatment that is critical to addressing the opioid epidemic.

METHODS

We employed descriptive and multivariable analyses with weighted 2010 Assessment of Behavioral Health Services survey data and the 2010 Uniform Data System.

FINDINGS

In 2010, 47.6% of health centers provided on-site substance use disorder treatment, 12.3% provided buprenorphine treatment for opioids, and 38.8% were interested in expanding buprenorphine availability. Urban health centers, those in the West, and health centers with electronic health records had higher odds of offering on-site substance use disorder treatment. Compared with on-site mental health treatment, substance use disorder treatment was available in fewer clinic sites within each organization. Health centers in rural areas had lower odds of providing on-site buprenorphine treatment (OR = 0.49, 95% CI: 0.26-0.94), and those in the South had lower odds of providing on-site buprenorphine treatment compared with health centers in other regions. Rural health centers had lower odds of expressing interest in expanding the availability of buprenorphine treatment (OR = 0.58, 95% CI: 0.35-0.97).

CONCLUSIONS

Improving access to substance use disorder treatment in primary care is a critical part of the strategy to combat the opioid use disorder epidemic. These findings highlight the important role of health centers as portals of access to substance use disorder treatment services in underserved communities. Recent investments to expand treatment capacity in health centers will expand the availability of substance use disorder services, but urban/rural and regional disparities should be monitored.

Small-Town America's Despair: Infected Substance Users Needing Outpatient Parenteral Therapy and Risk Stratification

Background 

An active intravenous substance use disorder is often the primary cause of infectious diseases in this population of users and creates a barrier to successful parenteral antimicrobial management. The dilemma is compounded by dramatically limited resources in small US towns.

Methods

This retrospective review from January 2014 through July 2016 aimed to develop a risk stratification approach to aid rural healthcare providers in determining who among patients with addictive disorders could safely be discharged for outpatient antimicrobial therapy with a peripherally inserted central catheter (PICC).

Results

The high-risk group had a greater likelihood of noncompliance with antimicrobial therapy completion, as well as subsequent illicit drug use during that time frame, compared with the moderate- and low-risk groups. The low-risk group and most of the moderate-risk group could be safely discharged into the community with PICC lines.

Conclusions

Key in the risk stratification proposal was identifying risk behaviors and determining their degree. Such information provides pivotal delineators in developing risk stratification criteria.

School nurse experiences with prescription opioids in urban and rural schools: A cross-sectional survey

Few studies have examined the use of prescription opioids in schools. The current study aimed to: (1) describe the context within which school nurses encounter student opioid prescriptions; (2) assess school nurses' preferences for training and student education; and (3) explore urban-rural differences in school nurses' experiences and training preferences. A convenience sample of school nurses (n = 633) from North Carolina and South Carolina participated in a brief, anonymous, online survey. Qualitative data were analyzed thematically and statistical tests (t-tests and Chi-square tests) were performed to investigate urban-rural differences. Many school nurses (40.3%) had encountered a student with an opioid prescription, but only 3.6% had naloxone available in case of an overdose. Most school nurses (69.9%), especially rural school nurses, believed students would benefit from opioid education (74.9 versus 66.6%, p = 0.03). The majority of school nurses (83.9%) were interested in opioid-related training. Many school nurses encounter students with prescription opioids and would like additional opioid-related training. The potential benefits of providing naloxone access to prevent opioid-related deaths at schools should be explored.

Are community level prescription opioid overdoses associated with child harm? A spatial analysis of California zip codes, 2001-2011

BACKGROUND

Non-medical prescription opioid use is increasing globally within high-income countries, particularly the United States. However, little is known about whether it is associated with negative outcomes for children. In this study, we use prescription opioid overdose as a proxy measure for non-medical prescription opioid use and ask the following: Do California communities with greater rates of non-medical prescription opioid use also have higher rates of child maltreatment and unintentional child injury?

METHODS

We used longitudinal population data to examine ecological associations between hospital discharges involving overdose of prescription opioids and those for child maltreatment or child injury in California zip codes between 2001 and 2011 (n=18,517 zip-code year units) using Bayesian space-time misalignment models.

RESULTS

The percentage of hospital discharges involving prescription opioid overdose was positively associated with the number of hospital discharges for child maltreatment (relative rate=1.089, 95% credible interval (1.004, 1.165)) and child injury (relative rate=1.055, 95% credible interval (1.012, 1.096)) over the ten-year period, controlling for other substance use and environmental factors.

CONCLUSIONS

Increases in community level prescription opioid overdoses between 2001 and 2011 are associated with a 2.06% increase in child maltreatment discharges and a 1.27% increase in discharges for child injury. Communities with higher rates of non-medical prescription opioid use may experience greater levels of child harms.