Insurance status, use of mental health services, and unmet need for mental health care in the United States

Food Insecurity and Mental Health: A Moderated Mediation Analysis

Extensive research has demonstrated the negative impact of food insecurity on mental health; however, the mediating and moderating mechanisms underlying this relationship remain underexplored. Using data from the 2022 National Health Interview Survey (N = 25,703), this study investigates whether sleep problems mediate the relationship between food insecurity and mental health outcomes-specifically depressive and anxiety symptoms-and whether marital status moderates this relationship. The findings indicate that sleep problems partially mediate the effects of food insecurity on depressive and anxiety symptoms. In addition, the impact of sleep problems on these mental health outcomes is less severe among married individuals compared to their unmarried counterparts. However, marital status does not moderate the relationship between food insecurity and sleep problems, nor the relationship between food insecurity and mental health outcomes. The analysis of conditional indirect effects reveals a more pronounced mediation effect of sleep problems among unmarried individuals. These results suggest a partial protective role of marriage in mental health and underscore the importance of addressing sleep problems, particularly among unmarried individuals, in understanding the interplay between food insecurity, sleep problems, and mental health.

Racial and Ethnic Disparities in Mental Health Service Utilization During COVID-19

OBJECTIVES

Racial/ethnic disparities in access to and delayed mental healthcare persist and disenfranchise marginalized populations. The COVID-19 pandemic exacerbated unmet needs for improved mental health services and care. Using the Andersen's model of healthcare utilization, we examined associations between predisposing, enabling, and need factors on mental healthcare utilization among a nationally representative sample of US adults during the pandemic.

DESIGN

This cross-sectional study examined mental healthcare seeking behaviors using cross-sectional data from the 2021 National Health Interview Survey using Andersen's healthcare utilization framework (n = 19,555). Accounting for weighting and the complex sample design, including imputed income files for missing data, we estimated logistic regression models to examine adjusted associations between mental health predisposing (age, gender, race/ethnicity, and marital status), enabling, (health insurance status, income, education, and geographic location), and mental health need (anxiety and depression symptoms) factors and receiving mental healthcare in the prior year.

RESULTS

Our findings from multivariate logistic regression models indicated significant mental healthcare disparities in every predisposing, enabling, and need factor. In adjusted models, racial and ethnic minorities used services at significantly lower odds than non-Hispanic Whites.

CONCLUSION

The results suggest the need for improved policies and culturally relevant evidence-based interventions in improving mental health seeking attitudes and overall care, specifically for underserved populations. There is a dire need to address access and barriers to mental health services in the US with a focus on how race and ethnicity intersect with other established barriers such as socioeconomic status and geography.

Perceived Unmet Need for Care and Barriers to Care Among Individuals with Mental Health Issues: A Meta-analysis

Unmet needs refer to the gap between the health services individuals require and what they receive. Individuals with mental health issues often face barriers preventing them from accessing the care they need. A meta-analysis was conducted to estimate the pooled prevalence of unmet needs for care and barriers to care among individuals with mental health issues. The databases PubMed, Scopus, Web of Science, and Cochrane Library were searched for relevant studies published from December 1, 1985 to August 1, 2024. Following the screening process, 204 included studies remained for meta-analysis. Individuals with mental health issues reported significant pooled prevalence rate of unmet care needs over the past year, with the most common being related to work/occupation (43%), dental care (41%), counseling (40%), social intervention (37%), mental health (34%), physical health needs (33%), skills training (32%), social network (32%), psychological distress (31%), information (27%), intimate relationships (27%), benefits (26%), harm reduction (25%), psychotic symptoms (24%), housing (24%), money and food (21%), education (20%), sexual expression (19%), home care (16%), safety (15%), self-care (15%), telephone support (9%), and child care (8%). The pooled prevalence rates of barriers to accessing care were motivational (38%), structural (37%), financial (31%), and stigmatization (25%). The findings indicated that patients with substance use disorders experienced a significantly higher prevalence of unmet care needs and barriers to accessing care compared to those with mental health disorders and homeless individuals. The results showed that unmet care needs were highest among those in established adulthood, while harm reduction was more common among adolescents and emerging adults. Physical health and food needs were most prevalent among midlife adults. Barriers to care were most common among adolescents and emerging adults, except for structural barriers, which were most frequent among midlife adults. To address the unmet employment needs of Individuals with mental health issues, comprehensive training in essential skills is recommended. Enhancing dentists' mental health understanding and fostering collaboration among healthcare providers is crucial. Government-funded, low-barrier service models for substance use disorder patients is suggested to enhance accessibility and effectiveness, while improving health service affordability and acceptability is essential.

The relationship between racial discrimination in healthcare, loneliness, and mental health among Black Philadelphia residents

BACKGROUND

Black individuals in the U.S. report experiencing the highest levels of racial discrimination in healthcare. Racial discrimination in healthcare contributes to mental health issues and has been shown to be associated with loneliness. Despite this, there is limited research on the role loneliness plays in the relationship between racial discrimination in healthcare settings and mental health outcomes. This study explored the relationship between racial discrimination in healthcare, loneliness, and mental health outcomes (depression and anxiety) among Black individuals.

METHODS

This study was part of the PhillyCEAL (Community Engagement Alliance) initiative. Between February 2024 and April 2024, 327 Black Philadelphia residents completed online surveys. Multiple linear regression analyses examined the associations between racial discrimination in healthcare, loneliness, depression, and anxiety. Covariates included Hispanic ethnicity, age, insurance, lesbian, gay, bisexual, transgender, queer or questioning, and other sexual and gender diverse (LGBTQ+) status, sex assigned at birth, relationship status, employment, medical conditions, income, and education.

RESULTS

Racial discrimination in healthcare was positively associated with loneliness (b = 0.66, 95% CI: 0.29 to 1.04), depression (b = 0.52, 95% CI: 0.19 to 0.86), and anxiety (b = 0.85, 95% CI: 0.50 to 1.19). When controlling for loneliness, the association between racial discrimination in healthcare and depression became non-significant (b = 0.29, 95% CI: -0.03 to 0.61), while the association between racial discrimination in healthcare and anxiety remained significant (b = 0.62, 95% CI: 0.29 to 0.94).

CONCLUSION

Addressing racial discrimination within healthcare settings is crucial for improving mental health outcomes among Black populations. Given the significant role of loneliness in this relationship, interventions aimed at reducing loneliness may help mitigate the adverse mental health effects of racial discrimination in healthcare for Black populations.

Sociodemographic Variables Associated with Self-reported Access to Mental Healthcare Among Brazilian Immigrant Women in the U.S

Brazilians are a rapidly growing immigrant population in the United States (U.S.), yet little is known about their mental health and access to mental healthcare. Our goal was to access associations between the pursuit of- and access to-mental healthcare with mental health status and socio-demographic characteristics among Brazilian immigrant women. We conducted an online survey of Brazilian women aged 18 or older who reported being born in Brazil and currently residing in the U.S. We recruited respondents via Brazilian cultural media, community organizations serving Brazilian immigrants, and social media. We assessed respondents' perceived access to mental healthcare, self-reported mental health (CES-D-10), and socio-demographic characteristics and conducted multivariable logistic regression. Our analysis included 351 participants. Half (52%) had CES-D-10 scores indicating high levels of depressive symptomatology. A third (33%) reported seeking care for their mental health in the past 12 months, 87% of whom reported obtaining care. Results of multivariable logistic regression determined that respondents who sought mental healthcare were more likely to have higher CES-D-10 scores (OR = 1.09, 95% CI 1.03-1.15), very low incomes (<$10,000 per year; OR = 0.34, 95% CI 0.12-0.96), and were marginally more likely to have a primary care provider (OR = 2.11, 95% CI 1.00, 4.46). We found that despite a high level of depressive symptomology, only one-third reported accessing care. While difficulty accessing care for mental issues is a widespread issue, our findings suggest that efforts are needed to ameliorate mental health issues for Brazilian women to reduce systemic, interpersonal, and individual barriers to seeking care among the 13% who sought healthcare but were unable to receive it.

A Pilot Randomized-Controlled Trial of Sleep Scholar: A Brief, Internet-Based Insomnia Intervention for College Students

This randomized-controlled trial examined the efficacy of Sleep Scholar, a brief, internet-based insomnia intervention tailored to the needs of college students. College students commonly experience insomnia and various other mental health symptoms, including suicide ideation. Cognitive-Behavioral Therapy for Insomnia (CBT-I) is a promising suicide prevention effort for college students because insomnia is robust risk factor for suicide ideation and CBT-I reduces suicide ideation. Moreover, CBT-I can be brief, self-guided, and internet-based. CBT-I also may elicit less stigma than treatment specifically targeting suicide ideation. However, existing forms of brief CBT-I are neither self-guided nor internet-based, and existing forms of self-guided, internet-based CBT-I are not brief. In addition, previous iterations of CBT-I are not typically designed to address the unique sleep needs of college students. For this registered clinical trial, we recruited 61 college students with at least subclinical insomnia symptoms. Participants were randomized to either Sleep Scholar or a control condition, Building Healthy Habits. Participants completed pretreatment daily sleep diaries and surveys, a posttreatment assessment of acceptability and satisfaction, a 1-week and 1-month survey follow-up, and daily sleep diaries throughout the 1-month follow-up period. Results showed that Sleep Scholar was more acceptable and satisfactory compared to the control condition at posttreatment. However, Sleep Scholar was not more effective for improving sleep or mental health symptoms compared to the control condition. These findings suggest that modifications to Sleep Scholar are needed to improve its efficacy.

Navigating the Maze: Caregiver Perspectives on Pathways to Mental Health Care for U.S. Youth at Clinical High Risk for Psychosis

AIM

Treatment for youth who are at clinical high risk for psychosis (CHR-P) presents an opportunity for early intervention with the capacity to decrease the burden associated with a potential psychotic disorder later in life. However, significant barriers prevent youth at CHR-P from accessing speciality mental health services. Few studies have examined the pathways to care for youth at CHR-P within the U.S. health system.

METHODS

The present study reports the results of a codebook thematic analysis of qualitative interviews conducted with caregivers (primarily parents) of 15 youth (ages 12-25 years) who entered a CHR-P speciality program. Using a semi-structured interview, we inquired about their experiences navigating the health system to eventually arrive at the speciality program, including help-seeking events and referrals, caregivers' attributions for youths' CHR-P symptoms, and barriers and facilitators to care.

RESULTS

Caregivers reported confusion and uncertainty regarding the causes of symptoms. They also disclosed the significant challenges to obtaining mental health care, including low mental health literacy, illness stigma, provider unavailability or appropriateness and adequacy of referrals. Most of the youth had encounters with emergency services during their help-seeking journey.

CONCLUSION

Our results help define targets for future policy, research and clinical efforts to improve access to speciality care for youth at CHR-P in the U.S.

The Role of Social Determinants in Racial and Ethnic Mental Health Disparities: Getting It Right

ABSTRACT

Despite increased research on and attention to mental health, significant racial and ethnic disparities in this area persist. We propose that racial and ethnic disparities in mental health should be examined through the lens of social determinants of mental health (SDoMH). In this perspective article, we review current definitions and frameworks of SDoMH, discuss their strengths and shortcomings, and provide recommendations for a framework to better capture the causal pathways of mental health for racially and ethnically minoritized populations. We also discuss efforts to address SDoMH, focusing on policy-level SDoMH interventions, and review progress and challenges in integrating SDoMH approaches into mental health care.

Trends in Outpatient Psychotherapy Among Adults in the US

Importance

While access to psychotherapy has recently increased in the US, concern exists that recent gains may be unevenly distributed despite teletherapy expansion.

Objective

To characterize recent trends and patterns in outpatient psychotherapy by US adults.

Design, Setting, and Participants

This is a repeated cross-sectional study of psychotherapy use among adults (ages ≥18 years) in the 2018 to 2021 Medical Expenditure Panel Surveys, which are nationally representative surveys of the civilian noninstitutionalized population. Data were analyzed from March to August 2024.

Main Outcomes and Measures

Age-, sex-, and distress-adjusted differences between 2018 and 2021 in use of any psychotherapy and video-based psychotherapy (teletherapy) in 2021 with tests for trend differences (interactions) across levels of sociodemographic characteristics and distress were assessed. Psychological distress was measured using the Kessler-6 scale, with scores of 13 or higher defining serious psychological distress, 1 to 12 defining mild to moderate distress, and 0 defining no distress.

Results

The analysis involved 89 619 participants (47 838 female [51.5%] and 41 781 male [48.5%]; 22 510 aged 18-34 years [29.0%], 43 371 aged 35-64 years [48.8%], and 23 738 aged ≥65 years [22.2%]). Between 2018 and 2021, psychotherapy use increased significantly faster for females (931/12 270 females [7.7%] to 1207/12 237 females [10.5%]) than males (547/10 741 males [5.2%] to 655/10 544 males [6.3%]), younger (455/6149 individuals [8.0%] to 602/5296 individuals [11.9%] aged 18-34 years) than older (217/5550 individuals [3.6%] to 304/6708 individuals [4.6%] aged ≥65 years) adults, college graduates (503/6456 adults [7.6%] to 810/7277 adults [11.4%]) than those without a high school diploma (193/3824 adults [5.5%] to 200/3593 adults [7.0%]), privately insured (881/14 387 adults [6.1%] to 1154/13 414 adults [8.9%]) than publicly insured (558/6511 adults [8.8%] to 659/7453 adults [8.8%]) individuals, adults at 2 to 4 times the poverty level (370/6670 adults [5.7%] to 488/6370 adults [8.2%]) than those below the poverty level (384/4495 adults [9.7%] to 428/4760 adults [10.0%]), employed persons overall (733/13 358 adults [5.7%] to 1082/12 365 adults [8.9%]) than unemployed persons aged 65 years and younger (547/5138 adults [10.8%] to 519/4905 adults [10.5%]), and urban (1335/20 682 adults [6.5%] to 1729/20 590 adults [8.7%]) than rural (143/2329 adults [6.4%] to 133/2191 adults [5.9%]) residents. In 2021, after controlling for distress level, teletherapy use was significantly higher among younger than middle-aged (aged 35-64 years: difference, -3.7 percentage points; 95% CI, -5.1 to -2.3) or older (aged ≥65 years: difference, -6.5 percentage points (95% CI, -8.0 to -5.0 percentage points) adults, females (difference, 1.9 percentage points; 95% CI, 0.9 to 2.9 percentage points) than males, not married (difference, 2.9 percentage points; 95% CI, 1.6 to 4.2 percentage points) than married persons, college educated adults (difference, 4.9 percentage points; 95% CI, 3.3 to 6.4 percentage points) than those without a high school diploma, people with higher (eg, 400% vs <100% of the federal poverty level: difference, 2.3 percentage points; 95% CI, 1.2 to 3.5 percentage points) than lower incomes, privately than publicly (difference, -2.5 percentage points; 95% CI, -3.4 to -1.5 percentage points) insured persons, and urban (difference, 2.7 percentage points; 95% CI, 1.5 to 3.8 percentage points) than rural residents.

Conclusions

This study found that psychotherapy use increased significantly faster among several socioeconomically advantaged groups and that inequalities were evident in teletherapy access. These trends and patterns highlight a need for clinical interventions and health care policies to broaden access to psychotherapy including teletherapy.

Predicting mental health disparities using machine learning for African Americans in Southeastern Virginia

This study examined mental health disparities among African Americans using AI and machine learning for outcome prediction. Analyzing data from African American adults (18-85) in Southeastern Virginia (2016-2020), we found Mood Affective Disorders were most prevalent (41.66%), followed by Schizophrenia Spectrum and Other Psychotic Disorders. Females predominantly experienced mood disorders, with patient ages typically ranging from late thirties to mid-forties. Medicare coverage was notably high among schizophrenia patients, while emergency admissions and comorbidities significantly impacted total healthcare charges. Machine learning models, including gradient boosting, random forest, neural networks, logistic regression, and Naive Bayes, were validated through 100 repeated 5-fold cross-validations. Gradient boosting demonstrated superior predictive performance among all models. Nomograms were developed to visualize risk factors, with gender, age, comorbidities, and insurance type emerging as key predictors. The study revealed higher mental health disorder prevalence compared to national averages, suggesting a potentially greater mental health burden in this population. Despite the limitations of its retrospective design and regional focus, this research provides valuable insights into mental health disparities among African Americans in Southeastern Virginia, particularly regarding demographic and clinical risk factors.

Barriers to 12-month treatment of common anxiety, mood, and substance use disorders in the World Mental Health (WMH) surveys

BACKGROUND

High unmet need for treatment of mental disorders exists throughout the world. An understanding of barriers to treatment is needed to develop effective programs to address this problem.

METHODS

Data on barriers were obtained from face-to-face interviews in 22 community surveys across 19 countries (n = 102,812 respondents aged ≥ 18 years, 57.7% female, median age [interquartile range]: 43 [31-57] years; 68.5% weighted average response rate) in the World Mental Health (WMH) surveys. We focus on the n = 5,136 respondents with 12-month DSM-IV anxiety, mood, or substance use disorders with perceived need for treatment. The n = 2,444 such respondents who did not receive treatment were asked about barriers to receiving treatment, whereas the n = 926 respondents who received treatment with a delay were asked about barriers leading to delays. Consistent with previous research, we distinguished five broad classes of barriers: low perceived disorder severity, two types of barriers in the domain of predisposing factors (beliefs/attitudes about treatment ineffectiveness and stigma) and two types in the domain of enabling factors (financial and nonfinancial). Baseline predictors of receiving treatment found in a prior report (i.e., comparing the n = 2,692 respondents who received treatment with the n = 2,444 who did not) were examined as predictors of barriers, while barriers were examined as mediators of associations between these predictors and treatment.

RESULTS

Most respondents reported multiple barriers. Barriers among respondents who did not receive treatment included low perceived severity (52.9%), perceived treatment ineffectiveness (44.8%), nonfinancial (40.2%) and financial (32.9%) barriers in the domain of enabling factors, and stigma (20.6%). Barriers causing delays in treatment had a similar rank-order but were reported by higher proportions of respondents (X21 = 3.8-199.8, p = 0.050- < 0.001). Barriers were predicted by low education, disorder type, age, employment status, and financial obstacles. Predictors varied as a function of barrier type.

CONCLUSIONS

A wide range of barriers to treatment exist among people with mental disorders even after a need for treatment is acknowledged. Most such individuals have multiple barriers. These results have important implications for the design of programs to decrease unmet need for treatment of mental disorders.

Geography and risk of suicidal ideation and attempts post outpatient psychiatric visit in commercially insured US adults

OBJECTIVE

This study sought to determine whether demographic and clinical factors for suicidal ideation (SI) and suicide attempts (SA) in adults vary across different census divisions in the US.

METHODS

A nationwide cohort was constructed using commercial health insurance claims data of adults aged 25-64 years with at least one mental health or substance use disorder-related outpatient visit between 2014 and 2015. Survival analysis was used to study how the association of demographic and clinical factors on SI and SA vary by geographic divisions.

RESULTS

The Mountain Division had the highest rates of SI and SA in almost all observed time intervals after the index visit. The Northeast region and the West coast had the lowest rates. For both SI and SA, we observed strong interaction effects between geographic division and urbanicity (χ2(152) = 188.14, p = 0.02; χ2(152) = 196.20, p = 0.01, respectively). In particular, urbanicity was a risk factor for SI in the West North Central (HR = 0.71, 95% CI: [0.50, 0.99]) and the Pacific (HR = 0.54, 95% CI: [0.40, 0.74]) Divisions. Urbanicity was also a risk factor for SA in the West North Central Division (HR = 0.39, 95% CI: [0.16, 0.95]), but a protective factor for SA in the Mountain Division (HR = 1.71, 95% CI: [1.11, 2.63]).

CONCLUSIONS

The association between urbanicity and SI and SA varied by US geography. Future suicide prevention efforts should include a focus on urban adults in the West North Central and the Pacific Divisions, and rural adults in the Mountain Division.

Gaps in psychiatric care before and after the COVID-19 pandemic among patients with depression using electronic health records

The COVID-19 pandemic caused disruption to health services. It is unclear if there were inequalities in the continuity of mental health care in the years around the COVID-19 pandemic. We used electronic health records (EHR) to detect mental health care gaps of more than six months in psychiatric appointments across demographic and socioeconomic characteristics among patients with depression. The analysis included patients with depression who were seen at one of two mental health clinics every year of 2018, 2019, 2021, and 2022 (n = 783 patients). First, we found that the odds of mental health care gaps significantly decreased in the post-pandemic period (2021-2022) relative to the pre-pandemic period (2018-2019). Second, in the pre-pandemic period, patients who lived in areas in the highest tertile of deprivation had greater odds of gaps in mental health care relative to those in the lowest tertile (aOR: 2.18 [95 % CI: 1.02, 4.68]). Males had higher odds of gaps in care than females in the post-pandemic period (aOR: 2.22 [1.13, 4.37]) and the pooled pre- and post-pandemic study period (aOR: 1.58 [1.04, 2.40]). Third, interactions between patient characteristics and time were not significant, suggesting that the change in the odds of gaps of mental health care before relative to after the COVID-19 pandemic did not differ significantly based on patient characteristics. Overall, gaps in care decreased in the post-pandemic period relative to the pre-pandemic period among almost all patient groups.

Low Vision Practice and Service Provision Among Optometrists in Ghana: A Nationwide Survey

PURPOSE

To characterize practice patterns of low vision services among Optometrists in Ghana.

METHODS

The nationwide cross-sectional survey identified entities through the Ghana Optometrists Association (GOA) registry and utilized a semi-structured questionnaire to consolidate survey information that comprises practitioners' demographics, available services, diagnostic equipment, barriers to service provision and utilization, and interventions.

RESULTS

300 Optometrists were identified, with 213 surveyed (71% response rate). About fifty percent (52.6%) were in private practice, and more than two-thirds (77%) did not provide low vision services. Most (≥70%) reported lack of assistive devices, and basic eye care examination kits as the main barriers to low vision service provision. Similarly, practitioners reported unawareness of the presence of low vision centres (76.1%), and high cost of low vision aids (75.1%) as the prime perceived barriers for patients to utilize low vision services. Continuous professional development and public education (89-90%) were suggested as interventions to improve the uptake of low vision services. After statistical adjustment, private facility type (Adjusted odds ratio [AOR] = 0.35, p = 0.010) and lack of basic eye examination kits (AOR = 0.32, p = 0.002) were significantly associated with reduced odds of low vision service provision. Conversely, ≥15 years of work experience (AOR = 6.37, p = 0.011) was significantly associated with increased odds of low vision service provision.

CONCLUSIONS

Overall, the results indicate inadequate low vision coverage and service delivery. Government policies must be directed towards equipping practitioners with equipment and subsidize patient cost of treatment to optimize low vision care.

The Intersection of Rurality, Unmet Treatment Need, and Cannabis Use for Adults with Chronic Pain

Objective

Rates of chronic pain are higher among rural versus urban individuals and rural individuals experience higher levels of socioeconomic disadvantage, poor or no health insurance coverage, and unmet treatment need. Medical cannabis is legal in Oklahoma. With 40% of Oklahoma's population living in rural areas, and nearly 17% uninsured, the medical legalization of cannabis may present as an accessible and relatively low-cost alternative treatment, particularly for those with chronic pain. This study investigated differences in cannabis use by rural (vs. urban) status and unmet (vs. met) treatment need among adults with and without chronic pain living in Oklahoma.

Method

To be eligible, participants had to be 18 years or older, reside in Oklahoma, and be able to read and write English-language surveys.

Results

The sample (N = 3622) was primarily made up of non-Hispanic White (70.4%) females (53.8%) in their early middle age (M = 41.80, SD = 16.88), employed full-time or part-time (53.8%), with some college/technical school (37.2%) or a bachelor's degree (28.5%). Nearly one-fifth of the sample (18.2%) endorsed chronic pain, and individuals with chronic pain were eight times more likely to report past 30-day cannabis use. No difference was detected when only rurality (vs. urban residence) was examined. Among adults with chronic pain, those who were rural dwelling and who reported unmet treatment need were almost two times more likely to report past 30-day cannabis use, compared to urban dwelling chronic pain adults with unmet treatment need.

Conclusions

In Oklahoma, adults in rural areas with unmet treatment need and chronic pain may benefit from increasing access to chronic pain treatment, as well as education on cannabis use and harm reduction strategies to inform healthcare decision-making.

Factors Associated With Psychotherapist and Psychiatrist Participation in Public Insurance: Evidence From Georgia State

OBJECTIVES

This study aims to evaluate rates of public insurance participation among the different psychotherapist professions as well as among psychiatrists. In addition, it seeks to assess individual and contextual factors that are associated with public insurance participation.

BACKGROUND

Historically, Medicaid- and Medicare-insured individuals have faced unique barriers to access to mental health professionals. Because prior literature has focused on psychiatrists, little is currently known of public insurance participation rates among psychotherapists-even though they constitute the bulk of the mental health workforce.

METHODS

A retrospective analysis of Medicaid and Medicare participation among a census of all Georgia psychologists, licensed clinical social workers, licensed professional counselors, marriage and family therapists, as well as psychiatrists, using their complete licensing rosters as of November 2023 (N = 21,260).

RESULTS

Findings show that 82.7% of psychotherapists did not accept any public insurance. This rate was 58.8% among psychiatrists. Among Georgia-licensed clinicians located outside of the state, likely to practice through telehealth, insurance acceptance was substantially lower than their in-state peers', suggesting that telehealth may have limited reach among publicly-insured patients. Psychotherapists' different professions, as well as factors such as urbanicity, hospital setting, practice size, and individual tenure length, were strongly associated with the likelihood of insurance participation.

CONCLUSION

Psychotherapists' low rates of participation in public insurance programs and meaningful variation between professions underscore that policies to better Medicaid and Medicare beneficiaries' access to mental health treatment must consider psychotherapists' unique practice patterns and implement interventions informed by them.

Incorporating Stakeholder Voices into Data Dashboards: A Qualitative Study of the State of Texas Mental Health Dashboard

The U.S. mental health crisis requires new tools to address mental healthcare needs. Data dashboards are a means of sharing community health data on many topics, including mental health. Unfortunately, many "community" dashboards are designed without stakeholder input. This article outlines the creation of the State of Texas Mental Health Dashboard and how researchers incorporated stakeholder feedback throughout its development. Researchers conducted nine focus groups with community stakeholders from two Texas counties. This feedback illustrated some key differences between designers' priorities and what stakeholders considered most relevant. Designers prioritized access to state and local mental health data. While stakeholders found the data useful, they also advocated for tools to identify community mental health resources. Our findings illustrate how excluding stakeholder voices from the design process could have omitted a key element needed to address mental healthcare needs and provides a process for ensuring that local input drives the design process.

Unmet Healthcare Needs and Medical Cannabis Use Among Sexual and Gender Minoritized Adults in a High-Stigma Environment

Sexual and gender minoritized (SGM) individuals in high-stigma areas may use cannabis to cope with unmet healthcare needs and elevated stress. Adults in Oklahoma (Mage = 43.9[SD = 16.8], 54.5% female, 71.4% non-Hispanic White) completed a cross-sectional survey (August-September 2022). Logistic regression examined the association of SGM identity (SGM or non-SGM) with past-year unmet healthcare need (yes/no). Logistic and linear regressions also examined main and interactive effects of SGM identity and unmet healthcare needs on past-month medical cannabis use and number of relaxation/tension-reduction reasons for cannabis use endorsed. Analyses were unadjusted and adjusted for sociodemographic and healthcare characteristics. In adjusted analyses, SGM (vs. non-SGM) adults were more likely to report unmet healthcare needs (aOR = 2.24, 95% CI[1.47, 3.42], p < .001) and past-month medical cannabis use (aOR = 2.15 [1.07, 4.34], p = .033). In unadjusted analyses, SGM (versus non-SGM) adults and those with unmet healthcare needs (versus without) endorsed more relaxation/tension reduction reasons for cannabis use in separate main effects (ps < .029), and adults with unmet healthcare needs (vs. without) were more likely to report past-month medical cannabis use (OR = 2.31 [1.86, 2.88]). SGM identity X unmet healthcare need interactions did not emerge (ps > .05). SGM individuals in high-stigma environments may use cannabis to compensate for insufficient healthcare.

Multiple chronic diseases and psychological distress among adults in the United States: the intersectionality of chronic diseases, race/ethnicity, immigration, sex, and insurance coverage

PURPOSE

Psychological distress significantly contributes to the burdens of morbidity and mortality in the United States (U.S.), but our understanding is limited with regards to the risk factors associated with psychological distress. We used nationally representative data to examine (1) the comorbidities of chronic diseases and their risks for psychological distress and (2) the ways in which chronic diseases combine with demographic factors such as sex, race/ethnicity, immigration status, and health insurance coverage to affect the patterning of psychological distress.

METHODS

We analyzed the 2005-2018 National Health Survey Interview cross-sectional data on U.S. adults aged ≥ 18 years (n = 351,457). We fitted sequential multivariable logistic regression models.

RESULTS

There was a dose-response relationship between the number of chronic diseases and psychological distress, with increased number of chronic diseases associated with increased psychological distress risk. Females (vs. males) and those without health insurance (vs. insured) were more likely to experience psychological distress. Immigrants (vs. non-immigrants) and racial/ethnic minorities (vs. White individuals) were less likely to experience psychological distress. There were significant interactions between chronic diseases and insurance coverage, immigration status, and race/ethnicity, but the three-way interactions were not statistically significant with psychological distress: chronic disease status vs. immigration status vs. health insurance coverage, and chronic disease vs. race/ethnicity vs. immigration status.

CONCLUSION

The findings suggest a critical need to consider the complex ways in which chronic diseases and psychosocial factors combine to affect psychological distress and their implications for tailoring mental health screening, initiatives to reduce distress, and prevention strategies for effectively addressing health-related disparities in the general population.

How enabling factors determine unmet healthcare needs? A panel data approach for countries

Health service need refers to the essential care required to achieve optimal health outcomes within resource constraints. When necessary services to address identified health issues are not received, unmet needs arise. This research focuses on the determinants of unmet healthcare needs across the 34 countries within the European region from 2011 to 2019, focusing on Andersen's Behavioral Model's enabling factors. We employed a static and robust panel regression model using Stata 14.0 software. Key determinants analyzed include GDP per capita, urbanization rate, and physicians per capita. Findings reveal that lower GDP per capita and lower urbanization rates are significantly correlated with higher levels of unmet healthcare needs, highlighting income level and geographical accessibility as critical factors. Additionally, a higher number of physicians per capita is associated with reduced unmet healthcare needs, indicating the importance of healthcare resources in addressing healthcare access gaps. These findings underscore the importance of targeted healthcare policies that address income level, improve healthcare accessibility, and enhance healthcare resource allocation to reduce unmet healthcare needs effectively. These findings equip policymakers and administrators with empirically grounded insights to comprehend the factors contributing to unmet healthcare needs and to develop policies aimed at addressing this challenge.

Cultural and Social Aspects of Anxiety Disorders

Understanding the cultural and social aspects of anxiety disorders is necessary to ensure the design and implementation of effective, evidence-based methods for diagnosis, prevention, and treatment among diverse populations, particularly those who are minoritized, marginalized, and traditionally underserved. This article describes variations in anxiety disorder prevalence and the association between sociocultural characteristics and stressors known to increase risk for anxiety. The ways sociocultural context impacts anxiety phenomenology and expression is explored. Then, the literature examining differential help-seeking and service utilization among diverse populations is reviewed followed by a summary of culturally responsive, evidence-based practices for anxiety disorders.

Supporting the Well-Being of Children and Youth With Special Health Care Needs: NASEM Proceedings

Children and youth with special health care needs (CYSHCN) are living longer than ever. These advances come with a price: Patients, families, communities, and systems must absorb the challenges of chronic caregiving, including protracted stress and poor mental health. In 2023, the National Academies of Science, Engineering, and Medicine convened thought-leaders for conversations about supporting the emotional well-being of CYSHCN and their families. Invited panelists included 2 parents and 3 academic pediatricians. Parents suggested opportunities for clinicians and systems to better support CYSHCN. Clinicians described work focused on: Individual patient- and family-level resilience: Defined as a process of harnessing resources to sustain well-being in the face of stress, resilience is learnable. Programs that teach people to identify and bolster "resilience resources" show promise in improving child and caregiver mental health;Clinician- and practice-level provision of care: Individual-level interventions are only effective if clinicians know when and how to deliver them. Hence, the American Board of Pediatrics created and demonstrated the success of a "roadmap" to support routine screening for and discussion of social and emotional health needs; andSystems-level barriers: Even with patient-level programs and clinician-practice guidance, unmet social and mental health needs persist. Accessing and coordinating services is difficult, may not be covered by insurance, and historically marginalized populations are the least likely to benefit. Together, the panel underscored a critical fact: We cannot optimize child and family well-being without focusing on patients, caregivers, clinicians, and systems.

Mental Health Matters: Bringing Awareness to the Less Recognized Financial Toxicities of Cancer Care

Discussing the less recognized financial toxicities of cancer care, including mental health and dental care.

Change in mental health service utilization from pre- to post-COVID-19 period in the United States

Objectives

This study aimed to explore the change in mental health service utilization before and after the COVID-19 pandemic as well as determine the association of various sociodemographic characteristics and comorbidities on the utilization pattern.

Methods

Data from the National Health Interview Survey (NHIS) 2019 and 2022 were explored in this study. Along with the univariate analysis, bivariate analysis was conducted using the Chi-square and Cochran-Armitage trend tests. Stepwise binary logistic regression was implemented to find the best-fitted model and examine the effects of different factors on mental healthcare utilization. We also conducted a subgroup analysis for the variables that showed heterogeneous changes in utilization from 2019 to 2022.

Results

Analysis of a total of 53,856 complete cases showed that the percentage of mental healthcare utilization changed from 20% in 2019 to 23.31% in 2022. Logistic regression results showed that the odds of mental health service utilization in the post-COVID period is 1.41 times of the pre-COVID [95% CI odds ratio (OR) = (1.26, 1.58)]. Sex, age, race, education, income group, insurance coverage, birth country, marital status, limitations of social functioning, having a place for healthcare, symptoms and history of depression/anxiety, diabetes, and hypertension had significant effects on the odds of receiving mental healthcare. Subgroup analysis revealed that the utilization changed significantly from 2019 to 2022 for age group "18-34" [OR = 1.41, 95% CI = (1.26, 1.58)], "35-49" [OR = 1.35, 95% CI = (1.21, 1.50)], and "50-64" [OR = 1.12, 95% CI = (1.01, 1.24)], while for the age group "above 64" was not significant.

Conclusion

Pre- and post-COVID periods were found to be significantly different in terms of the utilization of mental healthcare utilization. Changes in the utilization was also found to differ in terms of different age groups.

Mental Health Treatment Utilization and Unmet Mental Health Needs Among Black Reproductive-Age Women in the United States

OBJECTIVE

Black women in the United States experience increased risk for mental disorders and are less likely to have access to appropriate mental health treatment compared with White women. To develop culturally responsive strategies to improve Black women's access to mental health treatment, the authors evaluated social determinants associated with mental health treatment utilization and unmet mental health needs among Black reproductive-age women with serious psychological distress.

METHODS

The authors performed a secondary analysis of data from the National Survey on Drug Use and Health. Data from 2009 to 2019 were pooled and restricted to Black women ages 18-44 years with serious psychological distress (N=4,171). Logistic regressions were conducted to identify personal and social determinants (e.g., education, employment status, poverty, and insurance status) of mental health treatment utilization, alternative mental health treatment utilization (e.g., spiritual support and self-help), and perceived unmet mental health needs.

RESULTS

Education and employment status were significantly associated with all three outcomes. Among the women who reported unmet mental health needs, opposition to treatment and cost were the highest endorsed barriers. Differences were found by pregnancy status, with pregnant women being significantly less likely to endorse cost (p<0.001) and more likely to endorse time and transportation as barriers (p<0.01) to receiving mental health treatment.

CONCLUSIONS

Strategies to improve mental health outcomes for Black women should focus on reducing cost and transportation barriers and on the development of culturally responsive intervention approaches that address Black women's concerns about mental health treatment.

Rural Alabamians' Unmet Medical Needs: Rethinking the Roles of Online Health Information-Seeking Behaviors

INTRODUCTION

Unmet medical needs in rural areas are of grave concern in the U.S. With the advent of digital technologies, the Internet has become a critical means for accessing essential health information. However, racial/ethnic minority rural communities experiencing scarcity in healthcare services and access to the Internet are underrepresented in digital health studies. This study examined the association between online health information-seeking behaviors and unmet medical needs in a sample of African/Black American adults living in a rural region of the U.S.

METHODS

Among a sample of 191 adults, we used descriptive analyses to document the level of unmet medical needs and online health information-seeking behaviors of this population and conducted logistic regressions to test the association between online health information-seeking behaviors and unmet medical needs.

RESULTS

Most participants were older than 50 years old (60.2%), female (68.1%), unemployed (57.6%), and had an annual income of less than $25,000 (60.2%). About 20% of participants experienced unmet medical needs. The mean score of online health information-seeking behaviors was 2.37 (range 0-12). Increasing online health information-seeking behaviors was associated with 5.95 increased odds of experiencing unmet medical needs (OR = 5.95, 95% CI 1.27-27.77).

DISCUSSION

The finding highlights that it is necessary to develop targeted programs aimed at populations with high unmet medical needs, focusing on providing accessible health information and resources. Further research is warranted to investigate the motivations to engage in online health information-seeking behaviors to inform structural and workforce interventions to address unmet medical needs in this under-resourced region.

Integrating the Memory Support Intervention into the Transdiagnostic Intervention for Sleep and Circadian Dysfunction (TranS-C): can improving memory for treatment in midlife and older adults improve patient outcomes? Study protocol for a randomized controlled trial

BACKGROUND

Poor memory for treatment is associated with poorer treatment adherence and poorer patient outcomes. The memory support intervention (MSI) was developed to improve patient memory for treatment with the goal of improving patient outcomes. The aim of this study protocol is to conduct a confirmatory efficacy trial to test whether a new, streamlined, and potent version of the MSI improves outcomes for midlife and older adults. This streamlined MSI is comprised of constructive memory supports that will be applied to a broader range of treatment content. The platform for this study is the Transdiagnostic Intervention for Sleep and Circadian Dysfunction (TranS-C). We will focus on midlife and older adults who are low income and experiencing mobility impairments.

METHODS

Participants (N = 178) will be randomly allocated to TranS-C + MSI or TranS-C alone. Both intervention arms include eight 50-min weekly sessions. Assessments will be conducted at pre-treatment, post-treatment, 6-, and 12-month follow-up (6FU and 12FU). Aim 1 will compare the effects of TranS-C + MSI versus TranS-C alone on sleep and circadian functioning, daytime functioning, well-being, and patient memory. Aim 2 will test whether patient memory for treatment mediates the relationship between treatment condition and patient outcomes. Aim 3 will evaluate if previously reported poor treatment response subgroups will moderate the relationship between treatment condition and (a) patient memory for treatment and (b) treatment outcome. Exploratory analyses will compare treatment condition on (a) patient adherence, patient-rated treatment credibility, and patient utilization of treatment contents, and (b) provider-rated acceptability, appropriateness, and feasibility.

DISCUSSION

This study has the potential to provide evidence for (a) the efficacy of a new simplified version of the MSI for maintaining health, well-being, and functioning, (b) the wider application of the MSI for midlife and older adults and to the treatment of sleep and circadian problems, and (c) the efficacy of the MSI for sub-groups who are likely to benefit from the intervention.

TRIAL REGISTRATION

ClinicalTrials.gov NCT05986604. Registered on 2 August 2023.

Barriers and risk factors associated with non-treatment-seeking for suicidality onset during the COVID-19 pandemic among young adults

INTRODUCTION

Researchers predict long-term increases in suicide deaths following the COVID-19 pandemic. Little is known about risk factors for suicidal ideation (SI) and suicidal attempts (SA) or treatment barriers and promoters during the pandemic. We examine these factors in a young adult sample.

METHODS

Analyses used a 2022 cross-sectional survey dataset (N = 1,956). Logistic regression identified factors associated with pandemic suicidality (i.e., SI, SA). Non-treatment seekers reported barriers to seeking treatment. Logistic regression identified promotive factors associated with treatment-seeking.

RESULTS

28.6 % of our sample developed suicidality during the pandemic, of whom 49.6 % did not seek treatment. Asian race and sexual minority status were strongly associated with increased odds of pandemic suicidality. Among SI non-treatment-seekers, barriers were primarily attitudinal (e.g., "symptoms are not serious enough for treatment"); among non-treatment-seekers with SA, barriers were mostly structural (e.g., insufficient funds). Previous depression treatment was strongly associated with increased odds of treatment-seeking.

CONCLUSION

Asian American individuals were at increased risk for pandemic suicidality, which may reflect interpersonal risks related to COVID-19-related anti-Asian racism. Our findings point to a "foot-in-the-door" effect: past treatment-seeking was positively associated with future treatment-seeking. To promote this effect and decrease barriers, we suggest integrated mental health screening and referrals in primary care.

Vital Signs: Suicide Rates and Selected County-Level Factors - United States, 2022

Introduction

Approximately 49,000 persons died by suicide in the United States in 2022, and provisional data indicate that a similar number died by suicide in 2023. A comprehensive approach that addresses upstream community risk and protective factors is an important component of suicide prevention. A better understanding of the role of these factors is needed, particularly among disproportionately affected populations.

Methods

Suicide deaths were identified in the 2022 National Vital Statistics System. County-level factors, identified from federal data sources, included health insurance coverage, household broadband Internet access, and household income. Rates and levels of factors categorized by tertiles were calculated and presented by race and ethnicity, sex, age, and urbanicity.

Results

In 2022, the overall suicide rate was 14.2 per 100,000 population; rates were highest among non-Hispanic American Indian or Alaska Native (AI/AN) persons (27.1), males (23.0), and rural residents (20.0). On average, suicide rates were lowest in counties in the top one third of percentage of persons or households with health insurance coverage (13.0), access to broadband Internet (13.3), and income >100% of the federal poverty level (13.5). These factors were more strongly associated with lower suicide rates in some disproportionately affected populations; among AI/AN persons, suicide rates in counties in the highest tertile of these factors were approximately one half the rates of counties in the lowest tertile.

Conclusions and Implications for Public Health Practice

Higher levels of health insurance coverage, household broadband Internet access, and household income in communities might play a role in reducing suicide rates. Upstream programs, practices, and policies detailed in CDC's Suicide Prevention Resource for Action can be implemented by decision-makers, government agencies, and communities as they work together to address community-specific needs and save lives.

Mental Health Service Use Before First Diagnosis of a Psychotic Disorder

Importance

Characterizing mental health service use trajectories preceding diagnosis of a psychotic disorder may help identify individuals at highest risk and in which settings they are at highest risk.

Objective

To examine mental health service use and diagnostic trajectories before first diagnosis of psychotic disorder and identify utilization and diagnostic patterns.

Design, Setting, and Participants

This population-based, retrospective cohort study used linked provincial health administrative data. The sample included individuals aged 15 to 29 years diagnosed with a psychotic disorder in Ontario, Canada, between April 1, 2012, and March 31, 2018. These individuals were matched to individuals with a diagnosis of a mood disorder. Data were analyzed from November 2018 to November 2019.

Main Outcomes and Measures

The main outcomes were rates, timing, and setting of mental health-related service use and associated diagnoses in the 3 years before the index disorder among individuals first diagnosed with a psychotic disorder compared with those first diagnosed with a mood disorder.

Results

A total of 10 501 individuals with a first diagnosis of psychotic disorder were identified (mean [SD] age, 21.55 [3.83] years; 72.1% male). A total of 72.2% of individuals had at least 1 mental health service visit during the 3 years before their first psychotic disorder diagnosis, which was significantly more than matched controls with a first mood disorder diagnosis (66.8%) (odds ratio [OR], 1.34; 95% CI, 1.26-1.42). Compared with individuals diagnosed with a mood disorder, individuals diagnosed with a psychotic disorder were significantly more likely to have had mental health-related hospital admissions (OR, 3.98; 95% CI, 3.43-4.62) and emergency department visits (OR, 2.27; 95% CI, 2.12-2.43) in the preceding 3 years. Those with psychotic disorders were more likely to have had prior diagnoses of substance use disorders (OR, 2.57; 95% CI, 2.35-2.81), other disorders (personality disorders, developmental disorders) (OR, 1.75; 95% CI, 1.61-1.90), and self-harm (OR, 1.64; 95% CI, 1.36-1.98) in the past 3 years compared with those diagnosed with mood disorders.

Conclusions and Relevance

This study found that in the 3 years prior to an index diagnosis, individuals with a first diagnosis of psychotic disorder had higher rates of mental health service use, particularly emergency department visits and hospitalizations, compared with individuals with a first diagnosis of a mood disorder. Individuals with psychotic disorders also had a greater number of premorbid diagnoses. Differences in health service utilization patterns between those with a first psychotic disorder diagnosis vs a first mood disorder diagnosis suggest distinct premorbid trajectories that could be useful for next steps in prediction and prevention research.

The knowledge, attitude, and intention to use internet-based mental health services: A serial mediation model

Objective

Internet-based mental health services (i-MHS) have been widely provided to the public during the pandemic. However, people's engagement with i-MHS remains unclear. This study aimed to examine the Chinese population's knowledge, attitudes, and use intentions regarding i-MHS and determine their relations by serial mediation models.

Methods

The public's knowledge, attitudes, intention to use i-MHS and psychological impact of the pandemic were assessed. An online survey was administered to respondents from mainland China (N = 2543).

Results

Of the participants, 53.9 % exhibited some familiarity with i-MHS, while 62.4 % perceived these services as somewhat or very helpful, and 53.2 % were willing or very willing to use them. Serial mediation analyses indicated that the psychological impact of the pandemic indirectly related to the intention to use i-MHS. Knowledge and attitudes toward i-MHS sequentially mediated this relation [χ 2(61) = 179.359, P < .001; χ 2 /df = 2.940; CFI = 0.996; RMSEA = 0.028].

Conclusions

This study underscores the critical role of knowledge in shaping positive attitudes and intentions to use i-MHS, emphasizing the need for robust mental healthcare promotion strategies to raise knowledge and maximize the benefits of i-MHS.

Access to Psychiatric and Education Services During Incarceration in the United States

OBJECTIVE

Individuals with psychiatric disorders are incarcerated at disproportionately high rates and often have low educational attainment. Access to psychiatric and education services within prisons has been described as inadequate, but recent data are lacking. The authors sought to assess the association of psychiatric disorders with both educational attainment before incarceration and access to psychiatric and education services during incarceration.

METHODS

Data were from the 2016 Survey of Prison Inmates, a national survey of adults incarcerated in U.S. state and federal prisons (N=24,848). Multinomial regression was used to identify associations of educational attainment before incarceration with psychiatric disorders and sociodemographic factors. Multivariable logistic regression models were used to assess associations of psychiatric disorders with access to psychiatric and education services during incarceration and with sociodemographic factors.

RESULTS

Before incarceration, 57.3% of survey respondents had less than a high school diploma. Across four education and psychiatric services, only 8.4%-44.8% of respondents reported participating in these services during incarceration, despite 57.3% reporting a psychiatric or learning disorder. Psychiatric disorders were associated with lower educational attainment before incarceration and lower access to education services during incarceration. Psychiatric disorders were associated with higher odds of access to psychiatric services during incarceration. Men had lower educational attainment before incarceration and lower odds of accessing psychiatric and education services during incarceration.

CONCLUSIONS

Incarcerated people had a high need for psychiatric and education services. Individuals with psychiatric disorders had lower odds of participating in education services during incarceration, highlighting the need for policies and services that increase participation.

eLIFEwithIBD: study protocol for a randomized controlled trial of an online acceptance and commitment therapy and compassion-based intervention in inflammatory bowel disease

Background

Inflammatory bowel disease (IBD) entails physical, psychological, and social burden and holds a significant impact on quality of life. Experiential avoidance, cognitive fusion, shame, and self-criticism have been identified as possible therapeutic targets for improving mental health in people with IBD. Traditional face-to-face psychological therapy continues to provide obstacles for patients seeking assistance. Online psychological therapies centered on acceptance, mindfulness, and compassion have been shown to improve psychological distress in other populations.

Objective

This paper presents the study protocol of a two-arm Randomized Controlled Trial (RCT) of an ACT and compassion-based, online intervention - eLIFEwithIBD - on the improvement of psychological distress, quality of life, work and social functioning, IBD symptom perception, illness-related shame, psychological flexibility, and self-compassion.

Methods

The eLIFEwithIBD intervention is an adaptation of the LIFEwithIBD programme (delivered through an in-person group format) and entails an ACT, mindfulness, and compassion-based intervention designed to be delivered as an e-health tool for people with IBD. This protocol outlines the structure and contents of the eLIFEwithIBD intervention. Participants were recruited by an advertisement on the social media platforms of Portuguese Associations for IBD in January 2022. A psychologist conducted a brief interview with 80 patients who were interested in participating. Fifty-five participants were selected and randomly assigned to one of two conditions [experimental group (eLIFEwithIBD + medical TAU; n = 37) or control group (medical TAU; n = 18)]. Outcome measurement took place at baseline, post-intervention, and 4-month follow-up. All analyses are planned as intent-to-treat (ITT).

Results

The eLIFEwithIBD intervention is expected to empower people with IBD by fostering psychological strategies that promote illness adjustment and well-being and prevent subsequent distress. The eLIFEwithIBD aims to gain a novel and better understanding of the role of online contextual behavioral interventions on improving the quality of life and mental health of people with IBD.

Clinical Trial Registration

https://classic.clinicaltrials.gov/ct2/show/NCT05405855, NCT05405855.

Perinatal Psychotherapy Use and Costs Before and After Federally Mandated Health Insurance Coverage

Importance

Insurance coverage affects health care access for many delivering women diagnosed with perinatal mood and anxiety disorders (PMADs). The Mental Health Parity and Addiction Equity Act (MHPAEA; passed in 2008) and the Patient Protection and Affordable Care Act (ACA; passed in 2010) aimed to improve health care access.

Objective

To assess associations between MHPAEA and ACA implementation and psychotherapy use and costs among delivering women overall and with PMADs.

Design, Setting, and Participants

This cross-sectional study conducted interrupted time series analyses of private insurance data from January 1, 2007, to December 31, 2019, for delivering women aged 15 to 44 years, including those with PMADs, to assess changes in psychotherapy visits in the year before and the year after delivery. It estimated changes in any psychotherapy use and per-visit out-of-pocket costs (OOPCs) for psychotherapy associated with MHPAEA (January 2010) and ACA (January 2014) implementation. Data analyses were performed from August 2022 to May 2023.

Exposures

Implementation of the MHPAEA and ACA.

Main Outcomes and Measures

Any psychotherapy use and per-visit OOPCs for psychotherapy standardized to 2019 dollars.

Results

The study included 837 316 overall deliveries among 716 052 women (mean [SD] age, 31.2 [5.4] years; 7.6% Asian, 8.8% Black, 12.8% Hispanic, 64.1% White, and 6.7% unknown race and ethnicity). In the overall cohort, a nonsignificant step change was found in the delivering women who received psychotherapy after MHPAEA implementation of 0.09% (95% CI, -0.04% to 0.21%; P = .16) and a nonsignificant slope change of delivering women who received psychotherapy of 0.00% per month (95% CI, -0.02% to 0.01%; P = .69). A nonsignificant step change was found in delivering individuals who received psychotherapy after ACA implementation of 0.11% (95% CI, -0.01% to 0.22%; P = .07) and a significantly increased slope change of delivering individuals who received psychotherapy of 0.03% per month (95% CI, 0.00% to 0.05%; P = .02). Among those with PMADs, the MHPAEA was associated with an immediate increase (0.72%; 95% CI, 0.26% to 1.18%; P = .002) then sustained decrease (-0.05%; -0.09% to -0.02%; P = .001) in psychotherapy receipt; the ACA was associated with immediate (0.77%; 95% CI, 0.26% to 1.27%; P = .003) and sustained (0.07%; 95% CI, 0.02% to 0.12%; P = .005) monthly increases. In both populations, per-visit monthly psychotherapy OOPCs decreased (-$0.15; 95% CI, -$0.24 to -$0.07; P < .001 for overall and -$0.22; -$0.32 to -$0.12; P < .001 for the PMAD population) after MHPAEA passage with an immediate increase ($3.14 [95% CI, $1.56-$4.73]; P < .001 and $2.54 [95% CI, $0.54-$4.54]; P = .01) and steady monthly increase ($0.07 [95% CI, $0.02-$0.12]; P = .006 and $0.10 [95% CI, $0.03-$0.17]; P = .004) after ACA passage.

Conclusions and Relevance

This study found complementary and complex associations between passage of the MHPAEA and ACA and access to psychotherapy among delivering individuals. These findings indicate the value of continuing efforts to improve access to mental health treatment for this population.

Assessing the Effect of First-time Police Contact on Internalizing Problems Among Youth in Zurich, Switzerland: A Quasi-experimental Analysis

Growing evidence suggests that experiences with police are associated with a range of negative mental health problems among youth. This study examined the impact of negative police contact on changes in adolescent internalizing problems, measured by anxiety and depression. Six waves of data from a longitudinal study in Zurich, Switzerland were used in order to assess the direct relations between first reported police contact in the years prior to the survey moment and internalizing problems at the time of the survey and follow-up waves. The sample consists of a cohort of youth (max n = 1353, 49.4% females) spanning ages 11 to 24 (mean age and SD at each wave = 11.32 (0.37), 13.67 (0.36), 15.44 (0.36), 17.45 (0.37), 20.58 (0.38), 24.46 (0.38)). Specifically, difference-in-differences techniques for multiple time periods were employed to assess the average treatment effects for the treated population (first contact with police) compared to those who were never treated (never had contact). Across all models, police contact did not lead to an increase in internalizing problems. These results diverge from previous studies mostly conducted in the United States, and possible explanations including differences in historical contexts of policing, juvenile justice, health care, and dosage of intrusive contacts are discussed.

[Unmet health care needs of younger and older people in socially deprived regions: A qualitative interview study in the Ruhr area]

INTRODUCTION

Unmet health care needs are considered a key indicator of equity in access to health care. For younger people, they can lead to poorer health outcomes in adulthood, for older people, they are associated with an increased risk of mortality. Unmet needs were therefore investigated as part of a research project on "Improving the health-related life situation of young and old people in the Ruhr area."

METHOD

Unmet health care needs were surveyed with the help of semi-structured guideline interviews with younger and older people in the Ruhr area (n=29). Due to the spatial and social structure of the study region, the aim was to recruit especially people with a low subjective social status (SSS) for the study. The interviews were recorded, transcribed, and subjected to a qualitative content analysis and a supplementary frequency analysis. The reporting is based on the Standards for Qualitative Research (SRQR).

RESULTS

The respondents reported deficiencies in treatment and doctor-patient communication with GPs and specialists. The feeling of not being taken seriously due to age is cited several times by both age groups as a reason for unmet health care needs. Waiting times are particularly relevant in the case of specialist consultations, while co-payments for services mainly play a role in dentistry and orthodontics. Unmet needs are primarily reported by people with a medium SSS. Overall, almost two thirds of the respondents stated that they have or have had at least one unmet need. Participants with a low SSS report fewer unmet needs and do not mention any financial aspects as a cause. Explanations for this range from lower health literacy to the fear of being discredited.

CONCLUSIONS

The results provide indications of deficits in regional health care provision for younger and older people in the Ruhr region. Corresponding fields of action result from the areas of care and reasons identified as relevant for unmet health care needs. The reported findings also provide a basis for differentiated quantitative surveys with representative samples.

Addressing Inequities in Access to Mental Healthcare: A Policy Analysis of Community Mental Health Systems Serving Minoritized Populations in North Carolina

Racial and ethnic minoritized uninsured populations in the United States face the greatest barriers to accessing mental healthcare. Historically, systems of care in the U.S. were set up using inadequate evidence at the federal, state, and local levels, driving inequities in access to quality care for minoritized populations. These inequities are most evident in community-based mental health services, which are partially or fully funded by federal programs and predominantly serve historically minoritized groups. In this descriptive policy analysis, we outline the history of federal legislative policies that have dictated community mental health systems and how these policies were implemented in North Carolina, which has a high percentage of uninsured communities of color. Several gaps between laws passed in the last 60 years and research on improving inequities in access to mental health services are discussed. Recommendations to expand/fix these policies include funding accurate data collection and implementation methods such as electronic health record (EHR) systems to ensure policies are informed by extensive data, implementation of evidence-informed and culturally sensitive interventions, and prioritizing preventative services that move past traditional models of mental healthcare.

Physician Health Series, Part 3: Physician Mental Health

This article is the third of 3 articles in a series about managing the care of physicians as patients. In part 1, the authors reviewed unique characteristics of physicians as patients with some general guidance for how to approach their care. Part 2 highlighted role clarity for the treating physician with discussion of the physical and cognitive issues that commonly arise when treating physician-patients along with licensure issues and reporting requirements. This final installment will focus on physician mental health and work-related stress.

Using latent class analysis to investigate enduring effects of intersectional social disadvantage on long-term vocational and financial outcomes in the 20-year prospective Chicago Longitudinal Study

BACKGROUND

Class and social disadvantage have long been identified as significant factors in the etiology and epidemiology of psychosis. Few studies have explicitly examined the impact of intersecting social disadvantage on long-term employment and financial independence.

METHODS

We applied latent class analysis (LCA) to 20-year longitudinal data from participants with affective and non-affective psychosis (n = 256) within the Chicago Longitudinal Research. LCA groups were modeled using multiple indicators of pre-morbid disadvantage (parental social class, educational attainment, race, gender, and work and social functioning prior to psychosis onset). The comparative longitudinal work and financial functioning of LCA groups were then examined.

RESULTS

We identified three distinct latent classes: one comprised entirely of White participants, with the highest parental class and highest levels of educational attainment; a second predominantly working-class group, with equal numbers of Black and White participants; and a third with the lowest parental social class, lowest levels of education and a mix of Black and White participants. The latter, our highest social disadvantage group experienced significantly poorer employment and financial outcomes at all time-points, controlling for diagnosis, symptoms, and hospitalizations prior to baseline. Contrary to our hypotheses, on most measures, the two less disadvantaged groups did not significantly differ from each other.

CONCLUSIONS

Our analyses add to a growing literature on the impact of multiple forms of social disadvantage on long-term functional trajectories, underscoring the importance of proactive attention to sociostructural disadvantage early in treatment, and the development and evaluation of interventions designed to mitigate ongoing social stratification.

Long-Term Efficacy of a Mobile Mental Wellness Program: Prospective Single-Arm Study

BACKGROUND

Rising rates of psychological distress (symptoms of depression, anxiety, and stress) among adults in the United States necessitate effective mental wellness interventions. Despite the prevalence of smartphone app-based programs, research on their efficacy is limited, with only 14% showing clinically validated evidence. Our study evaluates Noom Mood, a commercially available smartphone-based app that uses cognitive behavioral therapy and mindfulness-based programming. In this study, we address gaps in the existing literature by examining postintervention outcomes and the broader impact on mental wellness.

OBJECTIVE

Noom Mood is a smartphone-based mental wellness program designed to be used by the general population. This prospective study evaluates the efficacy and postintervention outcomes of Noom Mood. We aim to address the rising psychological distress among adults in the United States.

METHODS

A 1-arm study design was used, with participants having access to the Noom Mood program for 16 weeks (N=273). Surveys were conducted at baseline, week 4, week 8, week 12, week 16, and week 32 (16 weeks' postprogram follow-up). This study assessed a range of mental health outcomes, including anxiety symptoms, depressive symptoms, perceived stress, well-being, quality of life, coping, emotion regulation, sleep, and workplace productivity (absenteeism or presenteeism).

RESULTS

The mean age of participants was 40.5 (SD 11.7) years. Statistically significant improvements in anxiety symptoms, depressive symptoms, and perceived stress were observed by week 4 and maintained through the 16-week intervention and the 32-week follow-up. The largest changes were observed in the first 4 weeks (29% lower, 25% lower, and 15% lower for anxiety symptoms, depressive symptoms, and perceived stress, respectively), and only small improvements were observed afterward. Reductions in clinically relevant anxiety (7-item generalized anxiety disorder scale) and depression (8-item Patient Health Questionnaire depression scale) criteria were also maintained from program initiation through the 16-week intervention and the 32-week follow-up. Work productivity also showed statistically significant results, with participants gaining 2.57 productive work days from baseline at 16 weeks, and remaining relatively stable (2.23 productive work days gained) at follow-up (32 weeks). Additionally, effects across all coping, sleep disturbance (23% lower at 32 weeks), and emotion dysregulation variables exhibited positive and significant trends at all time points (15% higher, 23% lower, and 25% higher respectively at 32 weeks).

CONCLUSIONS

This study contributes insights into the promising positive impact of Noom Mood on mental health and well-being outcomes, extending beyond the intervention phase. Though more rigorous studies are necessary to understand the mechanism of action at play, this exploratory study addresses critical gaps in the literature, highlighting the potential of smartphone-based mental wellness programs to lessen barriers to mental health support and improve diverse dimensions of well-being. Future research should explore the scalability, feasibility, and long-term adherence of such interventions across diverse populations.

Social Risk Factors and Racial and Ethnic Disparities in Health Care Resource Utilization Among Medicare Advantage Beneficiaries With Psychiatric Disorders

The intersection of social risk and race and ethnicity on mental health care utilization is understudied. This study examined disparities in health care treatment, adjusting for clinical need, among 25,780 Medicare Advantage beneficiaries with a diagnosis of a psychiatric disorder. We assessed contributions to disparities from racial and ethnic differences in the composition and returns of social risk variables. Black and Hispanic beneficiaries had lower rates of mental health outpatient visits than Whites. Assessing composition, Black and Hispanic beneficiaries experienced greater financial, food, and housing insecurity than White beneficiaries, factors associated with greater mental health treatment. Assessing returns, food insecurity was associated with an exacerbation of Hispanic-White disparities. Health care systems need to address the financial, food and housing insecurity of racial and ethnic minority groups with psychiatric disorder. Accounting for racial and ethnic differences in social risk adjustment-based payment reforms has significant implications for provider reimbursement and outcomes.

Barriers to Care and Perceived Need for Mental Health Services Among Adolescent and Emerging Adult Survivors of Pediatric Brain Tumors

Purpose: Pediatric brain tumor survivors (PBTS) commonly experience mental health challenges, which can be exacerbated during adolescence and emerging adulthood (AEA). We examined survivors and caregivers' perceived need for mental health services and barriers to receiving mental health care. Methods: Families completed surveys to assess perceived need for mental health services, socioemotional impairment, and barriers to mental health services. Survivors were between 13 and 25 years of age and were at least 5 years from diagnosis. Results: Sixty-nine caregiver-PBTS dyads participated, as well as 18 survivors and 20 caregivers who participated individually. Approximately half of survivors were male (n = 57, 52.3%), 85% (n = 93) were White, and their average age was 19.31. Most caregivers (n = 63, 70.8%) and survivors (n = 55, 63.2%) endorsed need for services for the survivors. Adolescents endorsed more barriers related to perceived helpfulness, t(18) = 2.3, p = 0.03, d = 0.54, and effects of services, t(18) = 3.8, p < 0.001, d = 0.88, than their caregivers. Emerging adults, t(34) = 2.4, p = 0.02, d = 0.41, endorsed more content barriers than their caregivers.. Discussion: Both survivors and their caregivers reported obstacles to accessing mental health services such as perceived lack of need, concerns regarding the effectiveness and usefulness of services, and limited knowledge about the content of services. Psychoeducation and psychosocial screening can support families in understanding survivors' need for mental health services.

Racial/Ethnic Disparities in Psychiatric Traits and Diagnoses within a Community-based Sample of Children and Youth: Disparités raciales/ethniques dans les traits et diagnostics psychiatriques au sein d'un échantillon communautaire d'enfants et de jeunes

OBJECTIVE

Racial/ethnic disparities in the prevalence of psychiatric disorders have been reported, but have not accounted for the prevalence of the traits that underlie these disorders. Examining rates of diagnoses in relation to traits may yield a clearer understanding of the degree to which racial/ethnic minority youth in Canada differ in their access to care. We sought to examine differences in self/parent-reported rates of diagnoses for obsessive-compulsive disorder (OCD), attention-deficit/hyperactivity disorder (ADHD) and anxiety disorders after adjusting for differences in trait levels between youth from three racial/ethnic groups: White, South Asian and East Asian.

METHOD

We collected parent or self-reported ratings of OCD, ADHD and anxiety traits and diagnoses for 6- to 17-year-olds from a Canadian general population sample (Spit for Science). We examined racial/ethnic differences in trait levels and the odds of reporting a diagnosis using mixed-effects linear models and logistic regression models.

RESULTS

East Asian (N = 1301) and South Asian (N = 730) youth reported significantly higher levels of OCD and anxiety traits than White youth (N = 6896). East Asian and South Asian youth had significantly lower odds of reporting a diagnosis for OCD (odds ratio [OR]East Asian = 0.08 [0.02, 0.41]; ORSouth Asian = 0.05 [0.00, 0.81]), ADHD (OREast Asian = 0.27 [0.16, 0.45]; ORSouth Asian = 0.09 [0.03, 0.30]) and anxiety (OREast Asian = 0.21 [0.11, 0.39]; ORSouth Asian = 0.12 [0.05, 0.32]) than White youth after accounting for psychiatric trait levels.

CONCLUSIONS

These results suggest a discrepancy between trait levels of OCD, ADHD and anxiety and rates of diagnoses for East Asian and South Asian youth. This discrepancy may be due to increased barriers for ethnically diverse youth to access mental health care. Efforts to understand and mitigate these barriers in Canada are needed.

Facilitators of and barriers to County Behavioral Health System Transformation and Innovation: an interview study

BACKGROUND

Inadequate and inequitable access to quality behavioral health services and high costs within the mental health systems are long-standing problems. System-level (e.g., fee-for-service payment model, lack of a universal payor) and individual factors (e.g., lack of knowledge of existing resources) contribute to difficulties in accessing resources and services. Patients are underserved in County behavioral health systems in the United States. Orange County's (California) Behavioral Health System Transformation project sought to improve access by addressing two parts of their system: developing a template for value-based contracts that promote payor-agnostic care (Part 1); developing a digital platform to support resource navigation (Part 2). Our aim was to evaluate facilitators of and barriers to each of these system changes.

METHODS

We collected interview data from County or health care agency leaders, contracted partners, and community stakeholders. Themes were informed by the Consolidated Framework for Implementation Research.

RESULTS

Five themes were identified related to behavioral health system transformation, including 1) aligning goals and values, 2) addressing fit, 3) fostering engagement and partnership, 4) being aware of implementation contexts, and 5) promoting communication. A lack of fit into incentive structures and changing state guidelines and priorities were barriers to contract development. Involving diverse communities to inform design and content facilitated the process of developing digital tools.

CONCLUSIONS

The study highlights the multifaceted factors that help facilitate or hinder behavioral health system transformation, such as the need for addressing systematic and process behaviors, leveraging the knowledge of leadership and community stakeholders, fostering collaboration, and adapting to implementation contexts.

Exploring the Association Between Structural Racism and Mental Health: Geospatial and Machine Learning Analysis

BACKGROUND

Structural racism produces mental health disparities. While studies have examined the impact of individual factors such as poverty and education, the collective contribution of these elements, as manifestations of structural racism, has been less explored. Milwaukee County, Wisconsin, with its racial and socioeconomic diversity, provides a unique context for this multifactorial investigation.

OBJECTIVE

This research aimed to delineate the association between structural racism and mental health disparities in Milwaukee County, using a combination of geospatial and deep learning techniques. We used secondary data sets where all data were aggregated and anonymized before being released by federal agencies.

METHODS

We compiled 217 georeferenced explanatory variables across domains, initially deliberately excluding race-based factors to focus on nonracial determinants. This approach was designed to reveal the underlying patterns of risk factors contributing to poor mental health, subsequently reintegrating race to assess the effects of racism quantitatively. The variable selection combined tree-based methods (random forest) and conventional techniques, supported by variance inflation factor and Pearson correlation analysis for multicollinearity mitigation. The geographically weighted random forest model was used to investigate spatial heterogeneity and dependence. Self-organizing maps, combined with K-means clustering, were used to analyze data from Milwaukee communities, focusing on quantifying the impact of structural racism on the prevalence of poor mental health.

RESULTS

While 12 influential factors collectively accounted for 95.11% of the variability in mental health across communities, the top 6 factors-smoking, poverty, insufficient sleep, lack of health insurance, employment, and age-were particularly impactful. Predominantly, African American neighborhoods were disproportionately affected, which is 2.23 times more likely to encounter high-risk clusters for poor mental health.

CONCLUSIONS

The findings demonstrate that structural racism shapes mental health disparities, with Black community members disproportionately impacted. The multifaceted methodological approach underscores the value of integrating geospatial analysis and deep learning to understand complex social determinants of mental health. These insights highlight the need for targeted interventions, addressing both individual and systemic factors to mitigate mental health disparities rooted in structural racism.

State paid sick leave mandates associated with increased mental health disorder prescriptions among Medicaid enrollees

The United States does not have a federal paid sick leave policy. As a result, many workers, in particular lower wage workers, cannot take time off work to attend to health and family responsibilities. Fifteen states have adopted or announced paid sick leave mandates that offer employees approximately 7 days of financially protected work time each year. This time can facilitate health care use, including treatment related to mental health disorders, conditions for which treatment is time-consuming. We studied the effect of state paid sick leave mandates on prescription medications dispensed for mental health disorders using the Medicaid State Drug Utilization Database 2011-2022. We found that medications dispensed for mental health disorders increased 6% per year following adoption of a state paid sick leave mandate.

Therapist-supported digital mental health intervention for depressive symptoms: A randomized clinical trial

Depression is a chronic and debilitating mental disorder. Despite the existence of several evidence-based treatments, many individuals suffering from depression face myriad structural barriers to accessing timely care which may be alleviated by digital mental health interventions (DMHI). Accordingly, this randomized clinical trial (ClinicalTrials.gov: NCT04738084) investigated the efficacy of a newer version of the therapist-supported and guided DMHI, the Meru Health Program (MHP), which was recently enhanced with heart rate variability biofeedback and lengthened from 8- to 12-weeks duration, among people with elevated depression symptoms (N = 100, mean age 37). Recruited participants were randomized to the MHP (n = 54) or a waitlist control (n = 46) condition for 12 weeks. The MHP group had greater decreases in depression symptoms compared to the waitlist control (d = -0.8). A larger proportion of participants in the MHP group reported a minimal clinically important difference (MCID) in depression symptoms than participants in the waitlist control group (39.1 % vs. 9.8 %, χ2(1) = 9.90, p = .002). Similar effects were demonstrated for anxiety symptoms, quality of life, insomnia, and resilience. The results confirm the utility of the enhanced MHP in reducing depression symptoms and associated health burdens.

Poverty and Suicidal Ideation Among Hispanic Mental Health Care Patients Leading up to the COVID-19 Pandemic

Introduction: Suicide rates have risen in Hispanic communities since 2015, and poverty rates among Hispanics often exceed the national average. Suicidality is a complex phenomenon. Mental illness may not alone explain whether suicidal thoughts or behaviors will occur; it remains uncertain how poverty affects suicidality among Hispanic persons with known mental health conditions. Our objective was to examine whether poverty was associated with suicidal ideation among Hispanic mental healthcare patients from 2016 to 2019. Methods: We used de-identified electronic health record (EHR) data from Holmusk, captured using the MindLinc EHR system. Our analytic sample included 4,718 Hispanic patient-year observations from 13 states. Holmusk uses deep-learning natural language processing (NLP) algorithms to quantify free-text patient assessment data and poverty for mental health patients. We conducted a pooled cross-sectional analysis and estimated logistic regression models. Results: Hispanic mental health patients who experienced poverty had 1.55 greater odds of having suicidal thoughts in a given year than patients who did not experience poverty. Conclusion: Poverty may put Hispanic patients at greater risk for suicidal thoughts even when they are already receiving treatment for psychiatric conditions. NLP appears to be a promising approach for categorizing free-text information on social circumstances affecting suicidality in clinical settings.

Prescription Drug Dispensing and Patient Costs After Implementation of a No Behavioral Health Cost-Sharing Law

Importance

On January 1, 2022, New Mexico implemented a No Behavioral Cost-Sharing (NCS) law that eliminated cost-sharing for mental health and substance use disorder (MH/SUD) treatments in plans regulated by the state, potentially reducing a barrier to treatment for MH/SUDs among the commercially insured; however, the outcomes of the law are unknown.

Objective

To assess the association of implementation of the NCS with out-of-pocket spending for prescription for drugs primarily used to treat MH/SUDs and monthly volume of dispensed drugs.

Design, Settings, and Participants

This retrospective cohort study used a difference-in-differences research design to examine trends in outcomes for New Mexico state employees, a population affected by the NCS, compared with federal employees in New Mexico who were unaffected by NCS. Data were collected on prescription drugs for MH/SUDs dispensed per month between January 2021 and June 2022 for New Mexico patients with a New Mexico state employee health plan and New Mexico patients with a federal employee health plan. Data analysis occurred from December 2022 to January 2024.

Exposure

Enrollment in a state employee health plan or federal health plan.

Main Outcomes and Measures

The primary outcomes were mean patient out-of-pocket spending per dispensed MH/SUD prescription and the monthly volume of dispensed MH/SUD prescriptions per 1000 employees. A difference-in-differences estimation approach was used.

Results

The implementation of the NCS law was associated with a mean (SE) $6.37 ($0.30) reduction (corresponding to an 85.6% decrease) in mean out-of-pocket spending per dispensed MH/SUD medication (95% CI, -$7.00 to -$5.75). The association of implementation of NCS with the volume of prescriptions dispensed was not statistically significant.

Conclusions and Relevance

These findings suggest that the implementation of the New Mexico NCS law was successful in lowering out-of-pocket spending on prescription medications for MH/SUDs, but that there was no association of NCS with the volume of medications dispensed in the first 6 months after implementation. A key challenge is to identify policies that protect from high out-of-pocket spending while also promoting access to needed care.

Unmet need for mental health care is common across insurance market segments in the United States

A substantial proportion of individuals with depression in the United States do not receive treatment. While access challenges for mental health care have been documented, few recent estimates of unmet mental health needs across insurance market segments exist. Using nationally representative survey data with participant-reported depression symptom severity and mental health care use collected in Spring 2023, we assessed access to mental health care among individuals with similar levels of depression symptom severity with commercial, Medicare, Medicaid, and no insurance. Among individuals who reported symptoms consistent with moderately severe to severe depression, 37.8% did not have a diagnosis for depression (41.0%, 28.1%, 33.6%, and 56.3% with commercial, Medicare, Medicaid, and no insurance), 51.9% did not see a mental health specialist (49.7%, 51.7%, 44.9%, and 91.8%), and 32.4% avoided mental health care due to affordability in the past 12 months (30.2%, 34.0%, 21.1%, and 54.8%). There was substantial unmet need for mental health treatment in all insurance market segments, but especially among individuals without insurance.