Substance use disorders and social determinants of health from electronic medical records obtained during Kentucky's "triple wave"

Association of Food and Housing Insecurity on Outcomes in Pregnant Patients With Substance Use Disorder

OBJECTIVES

Food insecurity (FI) may be associated with worsened neonatal abstinence syndrome severity in infants born to individuals with substance use disorder. This study evaluates FI and housing insecurity (HI) influence on maternal and neonatal outcomes.

METHODS

This was a cohort study of patients receiving obstetric care through a multispecialty program in Kentucky from 2015 to 2023. Inclusion criteria were: (1) program participants over age 18 consenting to observational research, (2) delivering at University of Kentucky, and (3) not withdrawing from research at any time. Initially, a subset of patients for whom FI and HI concerns were heightened were screened. In 2019, FI and HI screening became standard of care at the clinic. Housing was assessed on enrollment. A validated 2-question Hunger Vital Sign FI screen was utilized for a subset of patients. Maternal and neonatal outcomes, including adverse delivery outcomes, maternal comorbidities, and birth complications, were observed. Fisher's exact and 2 sample t tests were performed.

RESULTS

Of 494 participants, 188 (38%) identified at risk for HI. At enrollment, 221 (45%) individuals reported owning their primary residence, 85 (17%) were in group residential treatment, 34 (6.9%) had no housing, and 134 (27%) lived at another's residence. Disposition of a child to a relative or not the patient's own care was greater with HI, 51% versus 47%. Of 155 respondents, 96 (62%) reported FI, associated with increased neonatal intensive care unit (NICU) admission, 86% versus 74%. Using the validated tool, Abuse Assessment Screen, abuse was significantly greater with FI, 76% versus 58%. Edinburgh Postpartum Depression Scales >12 indicating depression were more common with FI, 63% versus 32%, P < .05. Anxiety scores were also higher with FI, P < .05. Patients with FI were more likely to experience abuse.

CONCLUSIONS

FI and HI were health-related needs associated with increased anxiety, depression, infant NICU admission, and loss of child custody.

Co-occurring substance use disorders among patients with opioid use disorder in rural primary care clinics

BACKGROUND

Co-occurring substance use disorders (SUDs) among individuals with opioid use disorder (OUD) are associated with additional impairment, overdose, and death. This study examined characteristics of patients who have OUD with and without co-occurring SUDs in rural primary care clinics.

METHODS

Secondary analysis used electronic health record (EHR) data from six rural primary care clinics, including demographics, diagnoses, encounters, and prescriptions of medication for OUD (MOUD), as well as EHR data from an external telemedicine vendor that provided MOUD to some clinic patients. The study population included all adult patients who had a visit to the participating clinics from October 2019 to January 2021.

RESULTS

We identified 1164 patients with OUD; 72.6 % had OUD only, 11.5 % had OUD and stimulant use disorder (OUD + StUD), and 15.9 % had OUD and other non-stimulant substance use disorder (OUD + Other). The OUD + StUD group had the highest rates of hepatitis C virus (25.4 % for OUD + StUD, 17.8 % for OUD + Other, and 7.5 % for OUD Only; p < 0.001) and the highest rates of mental health disorders (78.4 %, 69.7 %, and 59.9 %, respectively; p < 0.001). Compared to the OUD Only group, patients in the OUD + StUD and OUD + Other groups were more likely to receive telehealth services provided by clinic staff, in-clinic behavioral health services, and in-clinic MOUD. The OUD + StUD group had the highest proportion of referrals to the external telemedicine vendor.

CONCLUSIONS

More than 27 % of patients with OUD in rural primary care clinics had other co-occurring SUDs, and these patients received more healthcare services than those with OUD only. Future studies should examine variations in outcomes associated with these other services among patients with OUD and co-occurring SUDs.

Substance Use Overdose Deaths Among Black and Indigenous Women in Wisconsin: A Review of Death Certificate Data From 2018 to 2020

OBJECTIVES

We are in the midst of an overdose epidemic that has grown during the concurrent COVID-19 pandemic. In Wisconsin, overdose deaths increased 11-fold from 2000 to 2020, with over 1200 deaths in 2020. Because of disparities in substance use initiation, relapse, and treatment success among racially minoritized women, this study's purpose was to investigate overdose death rates among Black and Indigenous women in Wisconsin from 2018 to 2020.

METHODS

Overdose death rates were examined under the following parameters: sex, race (Black, Indigenous, White), age, year, and manner of death. Logistic regression analysis was also conducted looking at death count data, with race, age, and year as potential predictor variables.

RESULTS

Death rates (per 100,000) in 2018 were 14.1 (12.6-15.5) for White women, 20.8 (14.7-26.9) for Black women, and 26.5 (10.0-42.9) for Indigenous women; these rates increased in 2020 to 16.4 (14.8-17.9), 32.5 (25.0-40.0), and 59.9 (35.8-84.0) for White, Black, and Indigenous women, respectively. Regression findings illustrated that being Black or Indigenous and aged 15 to 44 or 45 to 64 years were significantly more likely to die from most causes of death (any drug, any opioid, prescription opioid, heroin, synthetic opioids, and cocaine; adjusted odds ratios > 1.25, P s < 0.001).

CONCLUSIONS

This study confirms that deaths in Wisconsin are disproportionately higher in female minoritized populations. Understanding the complex intricacies between the impacts of the COVID-19 pandemic coupled with barriers to treatment access or acceptability in these populations is urgently needed. It will take a multipronged approach to address the overdose epidemic and better serve these marginalized, vulnerable populations.

Evidence of housing instability identified by addresses, clinical notes, and diagnostic codes in a real-world population with substance use disorders

Introduction

Housing instability is a social determinant of health associated with multiple negative health outcomes including substance use disorders (SUDs). Real-world evidence of housing instability is needed to improve translational research on populations with SUDs.

Methods

We identified evidence of housing instability by leveraging structured diagnosis codes and unstructured clinical data from electronic health records of 20,556 patients from 2017 to 2021. We applied natural language processing with named-entity recognition and pattern matching to unstructured clinical notes with free-text documentation. Additionally, we analyzed semi-structured addresses containing explicit or implicit housing-related labels. We assessed agreement on identification methods by having three experts review of 300 records.

Results

Diagnostic codes only identified 58.5% of the population identifiable as having housing instability, whereas 41.5% are identifiable from addresses only (7.1%), clinical notes only (30.4%), or both (4.0%). Reviewers unanimously agreed on 79.7% of cases reviewed; a Fleiss' Kappa score of 0.35 suggested fair agreement yet emphasized the difficulty of analyzing patients having ambiguous housing situations. Among those with poisoning episodes related to stimulants or opioids, diagnosis codes were only able to identify 63.9% of those with housing instability.

Conclusions

All three data sources yield valid evidence of housing instability; each has their own inherent practical use and limitations. Translational researchers requiring comprehensive real-world evidence of housing instability should optimize and implement use of structured and unstructured data. Understanding the role of housing instability and temporary housing facilities is salient in populations with SUDs.

Associations between prescription stimulant use as prescribed, nonmedical use, and illicit stimulant use among adults evaluated for substance use treatment, 2017-2021

Background

Limited data exist on risk factors for illicit stimulant use, including associations between prescription stimulant use/nonmedical use (NMU) and illicit stimulant use.

Methods

We used 2017-2021 data from adults assessed for substance use disorder (SUD) treatment using the National Addictions Vigilance Intervention and Prevention Program Addiction Severity Index-Multimedia Version® tool. Multivariable Poisson regression models analyzed associations between past 30-day prescription stimulant use as prescribed or NMU and past 30-day illicit stimulant use. Separate models examined past 30-day illicit stimulant, methamphetamine, and cocaine use. We explored problem severity across seven biopsychosocial domains (e.g., drug, psychiatric, family) by past 30-day prescription stimulant use/NMU and illicit stimulant use.

Results

Among 218,981 assessments, 1.8% reported prescription stimulant NMU; 1.6% reported use as prescribed. Past 30-day prescription stimulant NMU (vs. no use) was associated with past 30-day illicit stimulant use (adjusted prevalence ratio [aPR] [95% CI]: 2.67 [2.59, 2.75]), methamphetamine use (aPR: 2.81 [2.71, 2.92]), and cocaine use (aPR: 3.53 [3.33, 3.74]). Prescription stimulant use as prescribed (vs. no use) was associated with lower prevalence of past 30-day illicit stimulant use. Assessments reporting prescription stimulant NMU (vs. no use, or use as prescribed) appeared more likely to have moderate-to-extreme problem scores across biopsychosocial domains, indicating greater need for treatment or assistance. Assessments reporting prescription stimulant use as prescribed or NMU frequently reported opioids, alcohol, or other substances as their primary substance problem.

Conclusions

Adults using illicit stimulants/nonmedically using prescription stimulants may benefit from care addressing polysubstance use, mental health, social, and recovery support services.