Racial, ethnic, and age disparities in the association of mental health symptoms and polysubstance use among persons in HIV care

We characterized polysubstance use burden and associations with mental health problems across demographic subgroups of PWH. In 2018–2020, as part of a primary care-based intervention study, PWH in care at three medical centers in Kaiser Permanente Northern California were screened for depression (PHQ-9≥10), anxiety (GAD-2≥3), and substance use (Tobacco, Alcohol, Prescription medication, and other Substance use [TAPS]≥1 per substance). We used Poisson regression to estimate prevalence ratios (PRs) comparing polysubstance use prevalence (TAPS≥1 for ≥2 substances) between PWH with positive screens for depression or anxiety vs. neither, among all PWH, and stratified by race/ethnicity and age (restricted to men), adjusting for sociodemographics, CD4, and HIV load. Screened PWH (N = 2865) included 92% men, 56% White, 19% Black, and 15% Hispanic PWH, with a median age of 55 years. Overall, polysubstance use prevalence was 26.4% (95% CI 24.9%-28.1%). PWH with depression or anxiety (n = 515) had an adjusted polysubstance use PR of 1.26 (1.09–1.46) vs. PWH with neither (n = 2350). Adjusted PRs were 1.47 (1.11–1.96), 1.07 (0.74–1.54), and 1.10 (0.85–1.41) among Black, Hispanic, and White men, respectively. Adjusted PRs did not differ by age group. Interventions should consider jointly addressing mental health and substance use problems and potential drivers, e.g. stigma or socioeconomic factors

Targeted Maximum Likelihood Estimation for Evaluation of the Health Impacts of Air Pollution

The adverse effects of air pollution on human life is of serious concern for today’s society. Two population groups that are especially vulnerable to air pollution are pregnant women and their growing fetuses, and the focus of this thesis is to study the effects of air pollution on these populations. In order to address the methodological limitations in prior research, we quantify the impact of air pollution on various adverse pregnancy outcomes, utilizing machine learning and novel causal inference methods. Specifically, we utilize two semi-parametric, double robust, asymptotically efficient substitution estimators to estimate the causal attributable risk of various pregnancy outcomes of interest. Model fitting via machine learning algorithms helps to avoid reliance on misspecified parametric models and thereby improve both the robustness and precision of our estimates, ensuring meaningful statistical inference. Under assumptions, the causal attributable risk that we estimate translates to the absolute change in adverse pregnancy outcome risk that would be observed under a hypothetical intervention to change pollution levels, relative to currently observed levels. The estimated causal attributable risk provides a quantitative estimate of a quantity with more immediate public health and policy relevance

A mobile app to promote alcohol and drug SBIRT skill translation among multi-disciplinary health care trainees: Results of a randomized controlled trial.

BackgroundAdherence to clinical practice guidelines for alcohol and drug screening, brief intervention, and referral to treatment (SBIRT) is often inadequate. Mobile apps developed as clinical translation tools could improve the delivery of high fidelity SBIRT.Methods: This study tested the effectiveness of an SBIRT mobile app conceptually aligned with the Theory of Planned Behavior (TPB) to support SBIRT delivery by health care trainees (nursing, social work, internal medicine, psychiatry, and psychology) working in clinical settings (N = 101). Bivariate analyses examined the rate of SBIRT delivery between trainees assigned to the experimental (app) and control (no app) study conditions; as well as the relationship between TPB-based constructs, intention to deliver SBIRT, and screening rates.Results: No significant differences were identified between the study conditions in SBIRT delivery. Significant correlations were found between intent to screen and TPB variables including attitudes/behavioral beliefs concerning substance use treatment (r = .49, p = .01); confidence in clinical skills (r = .36, p = .01); subjective norms (r = .54, p = .01) and perceived behavioral control over appointment time constraints (r = .42, p = .01). Also significant were correlations between percent of patients screened and confidence (r = .24, p = .05); subjective norms (r = .22, p = .05) and perceived behavioral control (r = .28, p = .01).Conclusions: The negative results of the study condition comparisons indicate the need for further investigation of strategies to optimize mobile app utilization, engagement, and effectiveness as a clinical translation tool. Findings of significant correlations between substance use screening rates and both norms and confidence support the potential value of the TPB model in explaining behavior of health care learners in SBIRT delivery

Association Between Prenatal Cannabis Use and Psychotropic Medication Use in Pregnant Patients With Depression and Anxiety.

OBJECTIVES: This cross-sectional study examined associations between prenatal cannabis use and prescribed psychotropic medication use among pregnant patients with depression or anxiety in a large, integrated healthcare system. METHODS: Study patients had a confirmed pregnancy and a depressive or anxiety disorder defined by International Classification of Diseases codes between 2012 and 2018 at Kaiser Permanente Northern California. Patients were screened for prenatal substance use via a self-reported questionnaire and urine toxicology test as part of standard prenatal care. Generalized estimating equation models tested for associations between prenatal cannabis use and any dispensation of antidepressants, benzodiazepines, and hypnotics during gestation. Models were stratified by diagnosis (depression or anxiety) and depression symptom severity. RESULTS: This study included 35,047 pregnancies (32,278 patients; 17.6% aged <25 years, 48.1% non-Hispanic White). Adjusting for patient age, income, race/ethnicity, and depression symptom severity, the 12.6% of patients who screened positive for prenatal cannabis use demonstrated higher odds of prenatal benzodiazepine (adjusted odds ratios [aOR] = 1.40; 95% confidence interval [CI] = 1.20-1.62) and hypnotic (aOR = 1.28; 95% CI = 1.11-1.48), but not antidepressants (aOR = 1.05, 95% CI = 0.96-1.14) use. This pattern persisted when diagnostic groups were examined separately. The odds of prenatal benzodiazepine and hypnotic use associated with prenatal cannabis use were higher among pregnancies with severe depression symptom severity (31.8% of the sample). CONCLUSIONS: Among pregnant patients with depression or anxiety, prenatal cannabis use was associated with higher odds of prenatal benzodiazepine and hypnotic use. As patients may be using cannabis to address depression and anxiety, prescribers should remain vigilant for under- or untreated psychiatric symptoms among pregnant patients and provide evidence-based treatments

Documentation of e-cigarette use and associations with smoking from 2012 to 2015 in an integrated healthcare delivery system.

It is unclear whether use of electronic nicotine delivery systems (ENDS) precedes cigarette smoking initiation, relapse, and/or quitting. Healthcare systems with electronic health records (EHRs) provide unique data to examine ENDS use and changes in smoking. We examined the incidence of ENDS use (2012-2015) based on clinician documentation and tested whether EHR documented ENDS use is associated with twelve-month changes in patient smoking status using a matched retrospective cohort design. The sample was Kaiser Permanente Northern California (KPNC) patients aged ≥12 with documented ENDS use (N = 7926); 57% were current smokers, 35% former smokers, and 8% never-smokers. ENDS documentation incidence peaked in 2014 for current and former smokers and in 2015 for never-smokers. We matched patients with documented ENDS use to KPNC patients without documented ENDS use (N = 7926) on age, sex, race/ethnicity, and smoking status. Documented ENDS use predicted the likelihood of smoking in the following year. Among current smokers, ENDS use was associated with greater odds of quitting smoking (OR = 1.17, 95%CI = 1.05-1.31). Among former smokers, ENDS use was associated with greater odds of smoking relapse (OR = 1.53, 95%CI = 1.22-1.92). Among never-smokers, ENDS use was associated with greater odds of initiating smoking (OR = 7.41, 95%CI = 3.14-17.5). The overall number of current smokers at 12 months was slightly higher among patients with (N = 3931) versus without (N = 3850) documented ENDS use. Results support both potential harm reduction of ENDS use (quitting combustibles among current smokers) and potential for harm (relapse to combustibles among former smokers, initiation for never-smokers)

Documentation of e-cigarette use and associations with smoking from 2012 to 2015 in an integrated healthcare delivery system.

It is unclear whether use of electronic nicotine delivery systems (ENDS) precedes cigarette smoking initiation, relapse, and/or quitting. Healthcare systems with electronic health records (EHRs) provide unique data to examine ENDS use and changes in smoking. We examined the incidence of ENDS use (2012-2015) based on clinician documentation and tested whether EHR documented ENDS use is associated with twelve-month changes in patient smoking status using a matched retrospective cohort design. The sample was Kaiser Permanente Northern California (KPNC) patients aged ≥12 with documented ENDS use (N = 7926); 57% were current smokers, 35% former smokers, and 8% never-smokers. ENDS documentation incidence peaked in 2014 for current and former smokers and in 2015 for never-smokers. We matched patients with documented ENDS use to KPNC patients without documented ENDS use (N = 7926) on age, sex, race/ethnicity, and smoking status. Documented ENDS use predicted the likelihood of smoking in the following year. Among current smokers, ENDS use was associated with greater odds of quitting smoking (OR = 1.17, 95%CI = 1.05-1.31). Among former smokers, ENDS use was associated with greater odds of smoking relapse (OR = 1.53, 95%CI = 1.22-1.92). Among never-smokers, ENDS use was associated with greater odds of initiating smoking (OR = 7.41, 95%CI = 3.14-17.5). The overall number of current smokers at 12 months was slightly higher among patients with (N = 3931) versus without (N = 3850) documented ENDS use. Results support both potential harm reduction of ENDS use (quitting combustibles among current smokers) and potential for harm (relapse to combustibles among former smokers, initiation for never-smokers)

Adverse childhood experiences, mental health, substance use, and HIV-related outcomes among persons with HIV

While persons with HIV (PWH) have benefited from significant advances in treatment and resulting longevity, mental health problems remain elevated in this population. Adverse childhood experiences (ACEs) are common among PWH and may negatively affect mental health and HIV-related outcomes. We examined the association between ACEs, depression and anxiety symptoms, substance use, antiretroviral therapy (ART) adherence, and HIV-clinical indicators in a sample of 584 PWH at risk for unhealthy alcohol use enrolled in a primary care-based alcohol intervention study. The sample was 96.9% male, 63.0% non-Hispanic white, with an average age of 49.0 years. ACEs were highly prevalent: 82.5% reported ≥1 ACE, including 34.2% reporting 1-2 ACEs, 25.0% reporting 3-4 ACEs, and 23.3% reporting ≥5 ACEs. Adjusting for demographics, having 1-2, 3-4 or ≥5 ACEs was significantly associated with anxiety (ORs (95%CI): 3.41 (1.13-10.33), 4.36 (1.42-3.36), and 3.96 (1.28-12.19), respectively) and poorer mental health quality of life (Betas (SE): -3.21 (1.40), -6.23 (1.51), and -7.09 (1.54), respectively), but not with other outcomes. Trauma-informed interventions to reduce anxiety and improve mental health quality of life in PWH may reduce the negative health sequelae of ACEs

Association of Pregnancy Intentions With Substance Use During Early Pregnancy

OBJECTIVES: The goal of this study was to evaluate the association between pregnancy intentions and substance use in early pregnancy among pregnant women receiving prenatal care in a large, integrated healthcare system. METHODS: The sample comprised 29,787 Kaiser Permanente Northern California pregnant women (12.1% aged <25, 36.4% non-Hispanic White) screened for prenatal substance use in 2018 via a self-reported questionnaire and urine toxicology test given as part of standard prenatal care (at ~8 weeks gestation). Multivariable logistic regression models tested for associations of pregnancy intentions with prenatal substance use (any use and specific substances) by self-report and/or a positive urine toxicology test. RESULTS: Adjusting for covariates, women with an unintended pregnancy (23.9% of the sample) had higher odds of any prenatal substance use than women with an intended pregnancy (28.8% vs. 16.1%; adjusted odds ratio [aOR]=1.80, 95% confidence interval [CI]:1.67–1.93). Having an unintended pregnancy was also associated with higher odds of using alcohol (14.4% vs.10.4%; aOR=1.73, 95%CI:1.59–1.89), cannabis (15.6% vs. 5.6%; aOR=1.91, 95%CI:1.73–2.11), nicotine (3.8% vs. 1.3%; aOR=2.33, 95%CI:1.92–2.82), pain medication (2.3% vs. 1.2%; aOR=1.64, 95%CI:1.32–2.03), and stimulants (0.8% vs. 0.3%; aOR=1.85, 95%CI:1.23–2.79) early in pregnancy. DISCUSSION: Having an unintended pregnancy was associated with higher odds of substance use during early pregnancy. Connecting women of reproductive age with health education about pregnancy prevention and recognition of early signs of pregnancy, effective contraception, and early screening and interventions for prenatal substance use may help to reduce prenatal substance use and its associated consequences

Trends and correlates of self-reported alcohol and nicotine use among women before and during pregnancy, 2009–2017

ObjectiveTo examine trends and correlates of frequency of self-reported alcohol and nicotine use among pregnant women.MethodsCross-sectional study of 363,240 pregnancies from 2009 to 2017 screened for self-reported substance use at their first prenatal visit in Kaiser Permanente Northern California. Poisson regression with a log link function was used to estimate the annual prevalences of self-reported daily, weekly, and ≤ monthly alcohol and nicotine use, adjusting for socio-demographics. Generalized estimating equation models were used to estimate the adjusted odds ratios (aOR) of any self-reported prenatal alcohol or nicotine use among those who self-reported use in the year prior to pregnancy, by frequency of pre-pregnancy substance use and socio-demographics.ResultsThe sample was 64 % non-White [mean (SD) age = 30.1 (5.6)]. From 2009-2017, alcohol use before pregnancy increased from 63.4%-65.9% (trend p-value = .008), and prenatal alcohol use decreased from 11.6%-8.8% (trend p-value&lt;.0001). Nicotine use before pregnancy decreased from 12.7 % to 7.7 % (trend p-value&lt;.0001), and prenatal use decreased from 4.3 % to 2.0 % (trend p-value&lt;.0001). Trends by use frequency were similar to overall trends. The odds of continued use of alcohol and nicotine during pregnancy were higher among those who used daily or weekly (versus monthly or less) in the year before pregnancy and varied with socio-demographics.DiscussionPrenatal alcohol and nicotine use decreased from 2009 to 2017. More frequent pre-pregnancy use predicted higher odds of prenatal use. Results suggest that interventions and education about the harms of prenatal substance use for frequent users prior to conception may reduce substance use during pregnancy