Women with serious mental illness are more likely to be diagnosed as having late-stage breast cancer than women without serious mental illness, suggesting a disparity in screening mammography. This study aimed to compare screening mammography rates in a nationally representative sample of Medicaid beneficiaries with and without schizophrenia. Medicaid Analytic eXtract files, 2007-2012, were used to identify a cohort of women ages 40-64 with schizophrenia who were eligible for Medicaid but not Medicare (N=87,572 in 2007 and N=114,341 in 2012) and a cohort without schizophrenia, frequency-matched by age, race-ethnicity, and state (N=97,003 in 2007 and N=126,461 in 2012). Annual screening mammography rates were calculated and adjusted for demographic characteristics and comorbid conditions. Multivariable logistic regression was used to estimate the association between beneficiary characteristics and screening mammography rates. In 2012, 27.2% of women with schizophrenia completed screening mammography, compared with 26.8% of the control cohort. In the schizophrenia cohort, American Indian/Alaskan Native women had significantly lower odds of receiving mammography (OR=0.82, p=0.02) than White women, whereas Hispanic/Latina women had higher odds (OR=1.16, p<0.001). Women with schizophrenia and a nonalcohol-related substance use disorder had lower odds of receiving mammography (OR=0.74, p<0.001) than women without a substance use disorder. Having at least one medical visit in the past year (vs. no visits) increased the odds of receiving screening mammography (OR=5.08, p<0.001). Screening mammography rates were similar between Medicaid-insured women with and those without schizophrenia. Interventions to increase uptake may need to focus on improving socioeconomic conditions and primary care engagement for vulnerable populations, regardless of psychiatric condition.

The authors characterized hearing loss among individuals diagnosed as having schizophrenia to inform provision of routine behavioral health services to this population. Audiometry data collected between October 2019 and December 2021 from 84 community-dwelling adults with schizophrenia and 81 age-matched participants without the condition were analyzed. Rates of hearing loss were identified within groups and across age decades (20-50 years). Hearing threshold and rates of hearing loss were compared between groups. Participants with schizophrenia had significantly higher mean hearing thresholds (p=0.006), indicating worse hearing. This difference remained significant after controlling for age (p=0.01). A significantly larger proportion of participants with schizophrenia had mild hearing loss (24%) compared with age-matched participants (6%) (p=0.002), with higher rates of mild hearing loss observed across all ages. Screening for and detection of hearing loss among adults with schizophrenia may be an unmet need. Hearing loss is a treatable source of cognitive and psychosocial disability, warranting scalable assessment and intervention practices.

The authors tested whether natural language processing (NLP) methods can detect and classify cognitive distortions in text messages between clinicians and people with serious mental illness as effectively as clinically trained human raters. Text messages (N=7,354) were collected from 39 clients in a randomized controlled trial of a 12-week texting intervention. Clinical annotators labeled messages for common cognitive distortions: mental filtering, jumping to conclusions, catastrophizing, "should" statements, and overgeneralizing. Multiple NLP classification methods were applied to the same messages, and performance was compared. A tuned model that used bidirectional encoder representations from transformers (F1=0.62) achieved performance comparable to that of clinical raters in classifying texts with any distortion (F1=0.63) and superior to that of other models. NLP methods can be used to effectively detect and classify cognitive distortions in text exchanges, and they have the potential to inform scalable automated tools for clinical support during message-based care for people with serious mental illness.

The field of psychiatry has placed a growing emphasis on research-based diagnostic and treatment practices related to mental illness. Involuntary hospitalization is a controversial and potentially lifesaving intervention in psychiatric care; yet, to what degree is this practice evidence based? This Open Forum examines the ethical and logistical limitations to traditional research, such as randomized controlled trials and observational studies, surrounding involuntary psychiatric hospitalization. Given recent efforts across the United States to expand the use of involuntary hospitalization, the authors call for systematic data collection to monitor, study, and guide the use of this intervention.

State mental health authorities (SMHAs) in all U.S. states and territories administer the Mental Health Block Grant (MHBG) set-aside funding for first-episode psychosis. Funds support implementation of coordinated specialty care (CSC) programs. The authors investigated the relationship between the level of SMHA involvement with CSC programs and clinical outcomes of clients in these programs. As part of a mixed-methods study of 34 CSC programs, SMHAs from 21 states and one U.S. territory associated with the 34 CSC programs participated in a 1-hour interview (between November 2018 and May 2019) focused on SMHA involvement in administration of MHBG set-aside funds and the SMHA's ongoing relationship with funded CSC programs. SMHA involvement was rated on a scale of 1 to 5, with 5 indicating the highest involvement. Client outcome data were collected at the 34 study sites over an 18-month period. Multilevel random-effect modeling was used, controlling for response propensity (propensity score), client demographic variables, and program-level covariates (i.e., fidelity score, staff turnover rates, service area urbanicity, and number of clients enrolled). Clients in CSC programs with SMHAs that were the most involved (level 5) had significantly improved symptoms, social functioning, and role functioning, compared with clients in programs with which SMHAs were least involved (level 1). The findings suggest that increased SMHA involvement in CSC programs is relevant for positive client outcomes. Levels of first-episode psychosis funding doubled in 2021 and 2022, and it is important to identify how SMHAs affect the success of CSC programs and the individuals served.

The purpose of this qualitative study was to examine the experiences of certified peer specialists (CPSs) in delivering telehealth services during the COVID-19 pandemic. Fourteen semistructured interviews with CPSs were conducted from August to November 2020. Data were analyzed by using thematic analysis. Helpful support from employers during the transition to telehealth included clear communication and access to training on telehealth technologies. Main barriers and facilitators were related to interpersonal relationships and logistical factors. CPSs reported that telehealth allowed them to continue to support the peers they serve but that the quality of interactions was not as good as with in-person services. Logistical challenges included inadequate equipment and Internet access. To support CPSs in delivering telehealth, employers can engage them in open and transparent communication about guidelines for service delivery, provide training and equipment, and allow them the flexibility to tailor service delivery modalities to the peers they serve.

This study examined differences between certified community behavioral health clinics (CCBHCs) and community mental health centers (CMHCs) in the services offered and populations served. Data from the 2020 National Mental Health Services Survey were used to quantify the proportion of CCBHCs (N=336) and CMHCs (N=1,953) that offered services and served populations described in the CCBHC certification criteria. A higher proportion of CCBHCs than CMHCs offered crisis services, peer support, substance use disorder treatment, treatment for co-occurring disorders, antipsychotics, assertive community treatment, general medical health screening, tobacco cessation services, psychiatric rehabilitation services, and other outpatient services. A higher proportion of CCBHCs than CMHCs served veterans and transition-age youths. CCBHCs differed from CMHCs in the services provided and populations served. Differences between CCBHCs and CMHCs in some service categories were more pronounced in demonstration than in nondemonstration states. However, it was unclear whether these differences existed before the introduction of the CCBHC model.

The U.S. Veterans Health Administration developed a suicide prediction statistical model and implemented a novel clinical program, Recovery Engagement and Coordination for Health-Veterans Enhanced Treatment (REACH VET). This high-value suicide prevention program aims to efficiently identify patients at risk and connect them with care. Starting in April 2017, national REACH VET metric data were collected from electronic health records to evaluate required task completion. By October 2020, 98% of veterans identified (N=6,579) were contacted by providers and had their care evaluated. In the nation's largest health care system, it was feasible to implement a clinical program based on a suicide prediction model.