Association between electronic nicotine product use and subsequent first episode psychosis.

Tobacco use has been established as a possible risk factor for psychosis, but the effect of electronic nicotine delivery systems (ex. nicotine vapes) has not been independently established. Using the Population Assessment of Tobacco and Health study, we found that use of electronic nicotine products was significantly associated with later first episode psychosis after controlling for substance use and other confounders, and that this relationship was only significant among the heaviest users (>20 puffs/day). Given the rapid rise in electronic nicotine products use, clinicians and public health professionals should consider potential impacts and closely monitor trends in the coming years.

Examining cancer screening disparities by race/ethnicity and insurance groups: A comparison of 2008 and 2018 National Health Interview Survey (NHIS) data in the United States.

BACKGROUND: Pervasive differences in cancer screening among race/ethnicity and insurance groups presents a challenge to achieving equitable healthcare access and health outcomes. However, the change in the magnitude of cancer screening disparities over time has not been thoroughly examined using recent public health survey data. METHODS: A retrospective cross-sectional analysis of the 2008 and 2018 National Health Interview Survey (NHIS) database focused on breast, cervical, and colorectal cancer screening rates among race/ethnicity and insurance groups. Multivariable logistic regression models were used to assess the relationship between cancer screening rates, race/ethnicity, and insurance coverage, and to quantify the changes in disparities in 2008 and 2018, adjusting for potential confounders. RESULTS: Colorectal cancer screening rates increased for all groups, but cervical and mammogram rates remained stagnant for specific groups. Non-Hispanic Asians continued to report consistently lower odds of receiving cervical tests (OR: 0.42, 95% CI: 0.32-0.55, p<0.001) and colorectal cancer screening (OR: 0.55, 95% CI: 0.42-0.72, p<0.001) compared to non-Hispanic Whites in 2018, despite significant improvements since 2008. Non-Hispanic Blacks continued to report higher odds of recent cervical cancer screening (OR: 1.98, 95% CI: 1.47-2.68, p<0.001) and mammograms (OR: 1.32, 95% CI: 1.02-1.71, p<0.05) than non-Hispanic Whites in 2018, consistent with higher odds observed in 2008. Hispanic individuals reported improved colorectal cancer screening over time, with no significant difference compared to non-Hispanics Whites in 2018, despite reporting lower odds in 2008. The uninsured status was associated with significantly lower odds of cancer screening than private insurance for all three cancers in 2008 and 2018. CONCLUSION: Despite an overall increase in breast and colorectal cancer screening rates between 2008 and 2018, persistent racial/ethnic and insurance disparities exist among race/ethnicity and insurance groups. These findings highlight the importance of addressing underlying factors contributing to disparities among underserved populations and developing corresponding interventions.

Bacterial Vaginosis Treatment Patterns, Associated Complications, and Health Care Economic Burden of Women With Medicaid Coverage in the United States.

BACKGROUND: Bacterial vaginosis (BV) is a highly prevalent vaginal infection. OBJECTIVES: Primary objectives of this study were to examine treatment patterns among female patients with Medicaid coverage who were diagnosed with incident BV, the frequency of BV-associated complications, and health care resource utilization (HCRU) and associated costs of incident BV and its recurrence. Secondary objectives were to identify predictors of total all-cause health care costs and number of treatment courses. METHODS: Female patients aged 12-49 years with an incident vaginitis diagnosis and ≥1 pharmacy claim for a BV medication were selected from the Merative MarketScan Medicaid database (2017-2020). Additional treatment courses were evaluated during a ≥12-month follow-up period, in which new cases of BV-associated complications and HCRU and the associated costs were also measured. Generalized linear models were used to identify baseline predictors of total all-cause health care costs and number of treatment courses. RESULTS: An incident vaginitis diagnosis and ≥1 BV medication claim were present in 114 313 patients (mean age: 28.4 years; 48.6% black). During the follow-up, 56.6% had 1 treatment course, 24.9% had 2, 10.2% had 3, and 8.3% had ≥4; 43.4% had BV recurrence. Oral metronidazole (88.5%) was the most frequently prescribed medication. Nearly 1 in 5 had a new occurrence of a BV-associated complication; most (76.6%) were sexually transmitted infections (STIs). Total all-cause and BV-related costs averaged $5794 and $300, respectively, per patient; both increased among those with more treatment courses. Older age, pregnancy, comorbidity, any STIs, postprocedural gynecological infection (PGI), and infertility were predictive of higher total all-cause health care costs, while race/ethnicity other than white was predictive of lower costs. Older age, black race, any STIs, pelvic inflammatory disease, and PGI were predictive of >1 treatment courses. CONCLUSION AND RELEVANCE: The high recurrence of BV represents an unmet need in women's health care and better treatments are necessary.

Treatment patterns and economic burden of bacterial vaginosis among commercially insured women in the USA.

Aim: Bacterial vaginosis (BV) is a common vaginal dysbiosis associated with adverse clinical sequelae, most notably, increased risk of sexually transmitted infections (STIs). The aims of this study were to estimate the frequency of BV recurrence, treatment patterns, other gynecological (GYN) conditions, and the associated healthcare resource utilization (HCRU) and costs among commercially insured patients in the USA. Patients & methods: Female patients aged 12-49 years with an incident vaginitis diagnosis and ≥1 pharmacy claim for a BV medication (fungal treatment only excluded) were selected from the Merative™ MarketScan commercial database (2017-2020). During a minimum 12-month follow-up, additional treatment courses, treatment patterns, frequency of other GYN conditions, and HCRU and costs were assessed. Generalized linear models were used to identify baseline predictors of total all-cause healthcare costs and number of treatment courses. Results: The study population included 140,826 patients (mean age: 31.5 years) with an incident vaginitis diagnosis and ≥1 BV medication claim. During the follow-up, 64.2% had 1 treatment course, 22.0% had 2, 8.1% had 3, and 5.8% had ≥4; 35.8% had a BV recurrence (≥2 BV medication claims). The most commonly prescribed BV medication was oral metronidazole (73.6%). Approximately 12% (n = 16,619) of patients had a new diagnosis of another GYN condition in the follow-up; 8.2% had a new STI, which were more common among patients with ≥4 treatment courses (12.9%). During follow-up, total all-cause healthcare costs averaged $8987 per patient per year (PPPY) of which $470 was BV-related. BV-related healthcare costs increased from $403 PPPY among those with 1 treatment course to $806 PPPY among those with ≥4 with nearly half the costs attributed to outpatient office visits. Conclusion: BV recurrence among this population represented a substantial clinical and healthcare economic burden warranting improvements in women's healthcare.

The prevalence of psychiatric symptoms and their correlates as part of the long-COVID syndrome.

The Long COVID syndrome has now been documented clearly in the literature, but whether or not psychiatric symptoms are prominent is unclear. We performed a retrospective chart review of all patients receiving medical care during the pandemic in an outpatient Long-COVID specialty clinic that serves a large racial and ethnic minority population. As many as 44% of patients had symptoms that necessitated referrals to psychiatrists, predominantly depression or anxiety. Spanish speaking patients had greater COVID severity (48%) than did predominantly English speakers (15%). We conclude that the long COVID syndrome is predominantly a cluster of physical symptoms that are sequelae of the viral infection.

Using natural language processing to improve suicide classification requires consideration of race.

OBJECTIVES: To improve the accuracy of classification of deaths of undetermined intent and to examine racial differences in misclassification. METHODS: We used natural language processing and statistical text analysis on restricted-access case narratives of suicides, homicides, and undetermined deaths in 37 states collected from the National Violent Death Reporting System (NVDRS) (2017). We fit separate race-specific classification models to predict suicide among undetermined cases using data from known homicide cases (true negatives) and known suicide cases (true positives). RESULTS: A classifier trained on an all-race dataset predicts less than half of these cases as suicide. Importantly, our analysis yields an estimated suicide rate for the Black population comparable with the typical detection rate for the White population, indicating that misclassification excess is endemic for Black suicide. This problem may be mitigated by using race-specific data. Our findings, based on the statistical text analysis, also reveal systematic differences in the phrases identified as most predictive of suicide. CONCLUSIONS: This study highlights the need to understand the reasons underlying suicide rate differences and for further testing of strategies to reduce misclassification, particularly among people of color.

Care Management for Serious Mental Illness: A Systematic Review and Meta-Analysis.

OBJECTIVE: Persons with serious mental illness face adverse psychiatric and medical outcomes, and their care is associated with a large burden of health care costs. Care management, in which assessment, care planning, and care coordination are provided, is a common model of support, yet the evidence supporting its use among psychiatric populations is mixed. A systematic review and a meta-analysis were undertaken to determine the impact of care management on clinical outcomes, acute care utilization, cost, and satisfaction among adults with serious mental illness. METHODS: A multidatabase literature search was performed. Articles were included if they compared standard outpatient care plus care management with standard outpatient care alone for adults with serious mental illness and reported on one or more predefined outcomes. Randomized controlled trials (RCTs) and other study designs were permitted for inclusion in the systematic review. The meta-analysis included only RCTs. RESULTS: For the systematic review, 34 articles representing 28 unique studies were included. Fifteen of these articles, representing 12 unique studies, were included in the meta-analysis, which indicated that care management was associated with small, statistically significant improvements in psychiatric symptoms, overall quality of life (QOL), and mental QOL (Hedges' g range 0.13-0.26). In addition, care management was associated with a small, statistically significant reduction in inpatient psychiatric hospital days (Hedges' g=0.16, p=0.02). CONCLUSIONS: Care management is associated with fewer psychiatric symptoms and greater QOL for persons with serious mental illness. Further work is needed to determine which components of the intervention are associated with effectiveness.

Mitigation strategies and compliance in the COVID-19 fight; how much compliance is enough?

The U.S. with only 4% of the world's population, bears a disproportionate share of infections in the COVID-19 pandemic. To understand this puzzle, we investigate how mitigation strategies and compliance can work together (or in opposition) to reduce (or increase) the spread of COVID-19 infection. Building on the Oxford index, we create state-specific stringency indices tailored to U.S. conditions, to measure the degree of strictness of public mitigation measures. A modified time-varying SEIRD model, incorporating this Stringency Index as well as a Compliance Indicator is then estimated with daily data for a sample of 6 U.S. states: New York, New Hampshire, New Mexico, Colorado, Texas, and Arizona. We provide a simple visual policy tool to evaluate the various combinations of mitigation policies and compliance that can reduce the basic reproduction number to less than one, the acknowledged threshold in the epidemiological literature to control the pandemic. Understanding of this relationship by both the public and policy makers is key to controlling the pandemic. This tool has the potential to be used in a real-time, dynamic fashion for flexible policy options. Our methodology can be applied to other countries and has the potential to be extended to other epidemiological models as well. With this first step in attempting to quantify the factors that go into the "black box" of the transmission factor ß, we hope that our work will stimulate further research in the dual role of mitigation policies and compliance.

Clinical Outcomes and Satisfaction following Neuropsychological Assessment for Adults: A Community Hospital Prospective Quasi-Experimental Study.

OBJECTIVE: Patients and other stakeholders generally report high satisfaction with neuropsychological evaluations (NPEs), but no research has examined effects of cognitive, emotional, and other factors that often prompt evaluations. A prospective, quasi-experimental study was conducted to examine self-reported cognitive and psychiatric symptoms, self-efficacy, motivation, and satisfaction following a NPE. METHOD: Participants from a neuropsychology clinic who were diagnosed with AD/HD and/or a DSM-IV mood disorder based on a NPE were included, and excluded if diagnosed with dementia or failure on performance validity tests. RESULTS: To examine whether a NPE with an interventional feedback session was associated with outcomes, changes from baseline to post-feedback session were examined with repeated-measures analysis of variance. Pearson correlations determined whether changes in hypothesized mechanisms (i.e., self-efficacy, goal importance and confidence ratings, and use of cognitive strategies) were related to changes in cognitive or psychiatric symptom severity. At follow-up, participants reported reductions in psychiatric (change in Brief Symptom Inventory depression: M = -2.8, SD = 4.4, range = -11 to 8, ${\eta}_p^2$=.30; anxiety: M = 3.2, SD = 6.6, range = -21 to 10, ${\eta}_p^2$ = .20) and cognitive symptoms (change in Multiple Ability Self-Report Questionnaire attention: M = -0.3, SD = 0.5, range = -1.6 to 0.5, ${\eta}_p^2$ = .31; verbal memory: M = -0.3, SD = 0.5, range = -1.1 to 0.5, ${\eta}_p^2$ = .24; language: M = -0.4, SD = 0.4, range = -1.3 to 0.4, ${\eta}_p^2$ = .48), and improved cognition (change in Meta-Memory Questionnaire ability: M = 4.4,SD = 6.2, range = -10 to 16, ${\eta}_p^2$ = .35; contentment: M = 4.3, SD = 4.5, range = -7 to 14, ${\eta}_p^2$ = .49). Participants reported increased self-efficacy for general and evaluation-specific goals. Increased goal-specific self-efficacy was associated with large reductions in psychiatric symptoms. CONCLUSIONS: Participants reported high levels of satisfaction with the NPE. Results support the clinical utility of NPE and feedback, and underscore the importance of individualized goal setting as part of the evaluation process.

Enhanced Child Psychiatry Access and Engagement via Integrated Care: A Collaborative Practice Model With Pediatrics.

OBJECTIVE: This study examined mental health service use outcomes for children receiving integrated care via a collaborative-practice model (CPM). The study hypothesis was that the delivery of intensively integrated clinical care within pediatrics, combined with community-based parent support from family support specialists (FSSs), would facilitate mental health or substance use disorder treatment access and engagement for youths at risk of experiencing disparities. METHODS: The study sample consisted of 228 children referred by pediatricians for outpatient child psychiatry evaluation within an urban safety-net hospital system in 2013. In the pilot clinic, 32 youths were referred to the CPM intervention. Among the remaining seven clinics, 196 youths were referred to usual care (control group). Differences in treatment access and engagement between the intervention and control groups were assessed using propensity-score weighted logistic regression models. RESULTS: Holding all else constant, children receiving the CPM intervention had four times higher odds of accessing psychiatric evaluations than children in the usual care control group (adjusted odds ratio [AOR]=4.16, p<.01). The odds of engagement (i.e., participation in follow-up appointments) were seven times greater for youths in the CPM than youths in the control group (AOR=7.54, p<.01). CONCLUSIONS: Access and engagement were significantly higher for children receiving CPM than for usual care participants. This suggests that integrated CPM warrants further investigation as an approach for improving the odds that children and families will receive needed mental health or substance use disorder treatment.

Impact of a Usual Source of Care on Health Care Use, Spending, and Quality Among Adults With Mental Health Conditions.

Physical comorbidities associated with mental health conditions contribute to high health care costs. This study examined the impact of having a usual source of care (USC) for physical health on health care utilization, spending, and quality for adults with a mental health condition using Medicaid administrative data. Having a USC decreased the probability of inpatient admissions and readmissions. It decreased expenditures on emergency department visits for physical health, 30-day readmissions, and behavioral health inpatient admissions. It also had a positive effect on several quality measures. Results underscore the importance of a USC for physical health and integrated care for adults with mental health conditions.

No Magic Bullet: A Theory-Based Meta-Analysis of Markov Transition Probabilities in Studies of Service Systems for Persons With Mental Disabilities.

OBJECTIVE: A random-effects meta-analysis of studies that used Markov transition probabilities (TPs) to describe outcomes for mental health service systems of differing quality for persons with serious mental illness was implemented to improve the scientific understanding of systems performance, to use in planning simulations to project service system costs and outcomes over time, and to test a theory of how outcomes for systems varying in quality differ. METHODS: Nineteen systems described in 12 studies were coded as basic (B), maintenance (M), and recovery oriented (R) on the basis of descriptions of services provided. TPs for studies were aligned with a common functional-level framework, converted to a one-month time period, synthesized, and compared with theory-based expectations. Meta-regression was employed to explore associations between TPs and characteristics of service recipients and studies. RESULTS: R systems performed better than M and B systems. However, M systems did not perform better than B systems. All systems showed negative as well as positive TPs. For approximately one-third of synthesized TPs, substantial interstudy heterogeneity was noted. Associations were found between TPs and service recipient and study variables Conclusions: Conceptualizing systems as B, M, and R has potential for improving scientific understanding and systems planning. R systems appear more effective than B and M systems, although there is no "magic bullet" system for all service recipients. Interstudy heterogeneity indicates need for common approaches to reporting service recipient states, time periods for TPs, service recipient attributes, and service system characteristics. TPs found should be used in Markov simulations to project system effectiveness and costs of over time.

Spending on mental and substance use disorders projected to grow more slowly than all health spending through 2020.

Spending on mental and substance use disorders will likely grow more slowly than all health spending through 2020. We project that spending on mental and substance use disorders, as a share of all health spending, will fall from 7.4 percent in 2009 ($172 billion out of $2.3 trillion) to 6.5 percent in 2020 ($281 billion out of $4.3 trillion). This trend is the projected result of reduced spending on mental health drugs because of patent expirations, the low likelihood of innovative drugs entering the market, and a slowdown in spending growth for hospital treatment. By 2020 the expansion of coverage to previously uninsured Americans under the Affordable Care Act (ACA), combined with the projected slowdown in Medicare provider payment rates under the ACA and the Budget Control Act of 2011, are expected to add 2.7 percent to behavioral health spending, compared to spending without these changes.

The impact of job accommodations on employment outcomes among individuals with psychiatric disabilities.

OBJECTIVE: This study aimed to fill a gap in the literature on effectiveness of employment accommodations by comparing employment outcomes for individuals with psychiatric disabilities who received or did not receive accommodations, with models informed by a conceptual approach blending static labor supply theory, Sen's capability approach, and the International Classification of Functioning. METHODS: Data for the study came from a longitudinal, four-year eight-state multisite demonstration project funded by the U.S. Department of Health and Human Services' Substance Abuse and Mental Health Services Administration. All participants had been recruited from clinical populations receiving outpatient psychiatric services. The effects of job accommodations on hours worked were assessed with generalized linear modeling (N=1,538). The effects of job accommodations on duration of employment were assessed with a parametric duration model analysis (N=1,040) that incorporated multiple spells of employment among individuals over the study period. RESULTS: Controlling for covariates suggested by the conceptual model, analyses showed that individuals who reported job accommodations on average worked 7.68 more hours per month and those who reported receiving accommodations worked 31% longer, with each job accommodation reported decreasing the risk of job termination by nearly 13%. CONCLUSIONS: Results demonstrate that job accommodations show potential to improve employment outcomes for individuals with psychiatric disabilities receiving supported employment services, indicating that job accommodations should be stressed in policy and continuing education efforts for program staff and clients.

Infrastructure Change Is Not Enough: An Evaluation of SAMHSA's Mental Health Transformation State Incentive Grants.

OBJECTIVE: The authors evaluated the Substance Abuse and Mental Health Services Administration's mental health transformation state incentive grant program, which provided more than $100 million to nine states to make infrastructure changes designed to improve services and outcomes. METHODS: The authors measured infrastructure changes, service changes, and consumer outcomes in the nine programs. Although the federal program had no logic model, the authors adopted a model that hypothesized positive, but small, correlations between the program elements. RESULTS: There were few statistically significant correlations and a number of negative correlations between infrastructure changes, service changes, and consumer outcomes. CONCLUSIONS: Federal investments should take into account evidence that infrastructure changes alone do not necessarily contribute to better consumer outcomes, support operationally defined infrastructure improvements, require that service improvements accompany infrastructure changes, and provide sufficient resources to oversee grantee behaviors. In addition, future evaluation should support evaluation best practices.

Does one size fit all? What we can and can't learn from a meta-analysis of housing models for persons with mental illness.

OBJECTIVE: Numerous studies have evaluated the impacts of community housing models on outcomes of persons with severe mental illness. The authors conducted a meta-analysis of 44 unique housing alternatives described in 30 studies, which they categorized as residential care and treatment, residential continuum, permanent supported housing, and nonmodel housing. Outcomes examined included housing stability, symptoms, hospitalization, and satisfaction. METHODS: Outcome scores were converted to effect size measures appropriate to the data. Effect sizes were combined to estimate random effects for housing models, which were then compared. RESULTS: All models achieved significantly greater housing stability than nonmodel housing. This effect was greatest for permanent supported housing (effect size=.63, p<.05). No differences between housing models were significant. For reduction of psychiatric symptoms, only residential care and treatment differed from nonmodel housing (effect size=.65, p<.05). For hospitalization reduction, both residential care and treatment and permanent supported housing differed from nonmodel housing (p<.05). Permanent supported housing achieved the highest effect size (.73) for satisfaction and differed from nonmodel housing and residential care and treatment (p<.001 and p<.05, respectively). CONCLUSIONS: The meta-analysis provides quantitative evidence that compared with nonmodel housing, housing models contribute to stable housing and other favorable outcomes. The findings also support the theory that different housing models achieve different outcomes for different subgroups. Data were not sufficient to fully answer questions designed to enable program planners and providers to better meet consumers' needs. It is important to answer these questions with research that uses common measures and adheres to scientific conventions.