Mobile App-Based Mindfulness Intervention for Addressing Psychological Distress Among Survivors of Hospitalization for COVID-19 Infection DOI Creative Commons
Christopher E. Cox, John A. Gallis, Maren K. Olsen

et al.

CHEST Critical Care, Journal Year: 2024, Volume and Issue: 2(2), P. 100063 - 100063

Published: March 4, 2024

BackgroundPsychological distress symptoms are present and persistent among many patients who survive a critical illness like COVID-19.Research QuestionCould self-directed mobile app-delivered mindfulness intervention be feasibly rapidly implemented within clinical trials network to reduce symptoms?Study Design MethodsA randomized trial was conducted between January 2021 May 2022 at 29 US sites included survivors of hospitalization due COVID-19-related with elevated depression discharge. Participants were or usual care control. The consisted four themed weeks daily audio, video, text content. All study procedures virtual. primary outcome assessed the Patient Health Questionnaire 9 3 months. Secondary outcomes anxiety (Generalized Anxiety Disorder 7-item scale), quality life (EQ-5D), adherence. We used general linear models estimate treatment arm differences in over time.ResultsAmong 56 participants (mean age ± SD, 51.0 13.2 years; 38 female [67.9%]; 14 Black [25%]), 45 (intervention: n = 23 [79%]; control: 22 [81%]) retained 6 There no difference mean improvement control months (−0.5 vs 0.1), Generalized scale (−0.3 EQ-5D (−0.03 0.02) scores, respectively; 6-month results similar. Only 15 (51.7%) initiated intervention, whereas number SD prescribed activities completed 12.0 15.2. Regulatory approvals delayed initiation by nearly year.InterpretationAmong COVID-19 psychological symptoms, app-based had poor Future interventions mobilized broad should focus efforts on patient engagement regulatory simplification enhance success.Trial RegistrationClinicalTrials.gov; No.: NCT04581200; URL: www.clinicaltrials.gov

Language: Английский

A Systematic Review of Participant Diversity in Psychedelic-Assisted Psychotherapy Trials DOI
Stephanie L. Haft, Amanda E. Downey, Marissa Raymond‐Flesch

et al.

Psychiatry Research, Journal Year: 2025, Volume and Issue: 345, P. 116359 - 116359

Published: Jan. 11, 2025

Language: Английский

Citations

5

Trends in Psychological Distress and Outpatient Mental Health Care of Adults During the COVID-19 Era DOI
Mark Olfson, Chandler McClellan,

Samuel H. Zuvekas

et al.

Annals of Internal Medicine, Journal Year: 2024, Volume and Issue: 177(3), P. 353 - 362

Published: Feb. 5, 2024

In addition to the physical disease burden of COVID-19 pandemic, concern exists over its adverse mental health effects.

Language: Английский

Citations

10

Mental Health–Related Outpatient Visits Among Adolescents and Young Adults, 2006-2019 DOI Creative Commons

Rosa Y. Ahn-Horst,

Florence T. Bourgeois

JAMA Network Open, Journal Year: 2024, Volume and Issue: 7(3), P. e241468 - e241468

Published: March 7, 2024

Importance Concerns over the mental health of young people have been increasing past decade, especially with rise in burden seen during COVID-19 pandemic. Examining trends health–related outpatient visits provides critical information to elucidate contributing factors, identify vulnerable populations, and inform strategies address crisis. Objective To examine characteristics psychotropic medication use among US adolescents adults. Design, Setting, Participants A retrospective cross-sectional analysis nationally representative data from National Ambulatory Medical Care Survey, an annual probability sample survey, was conducted January 2006 December 2019. included (age 13-17 years) adults 18-24 office-based US. Data were analyzed March 1, 2023, September 15, 2023. Main Outcomes Measures Mental identified based on established sets diagnostic codes for psychiatric disorders. Temporal proportion assessed, including associated medications. Analyses stratified by age sex. Results From 2019, there estimated 1.1 billion adults, which 145.0 million (13.1%) a condition (mean [SD] age, 18.4 [3.5] years; 74.0 females [51.0%]). diagnoses more prevalent male (16.8%) compared female (10.9%) patients ( P < .001). This difference most pronounced 20.1% diagnosis males vs 10.1% The nearly doubled, 8.9% 16.9% 2019 Among all visits, 17.2% prescription at least 1 medication, significant increases 12.8% 22.4% Conclusions Relevance In this study, substantial medications, greater overall patients. These findings provide baseline understanding post-pandemic shifts suggest that current treatment prevention will need preexisting needs addition effects

Language: Английский

Citations

9

Emerging Trends in Research on Assisted Outpatient Treatment in the United States: A Narrative Review DOI
Chad J. Valasek, Kathryn Nelson, Danielle L. Fettes

et al.

Psychiatric Services, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 10, 2025

The use of court-ordered mental health treatment through programs such as assisted outpatient (AOT) carries substantial ramifications for the welfare individuals with serious conditions. In this review, authors used a narrative methodology and performed an interpretive synthesis existing U.S.-based literature (2008-2023) on AOT implementation outcomes. search yielded 21 peer-reviewed articles published between 2009 2022 that assessed various aspects outcomes AOT. Although many these studies generally supported AOT, most limited data set (i.e., program from New York or Ohio 1999 2007). Much latest research did not include attention to possible mechanisms explain observed emerging suggests increased outreach less coercive tactics may lead better However, more research, especially point view enrolled in programs, is needed. strongly recommend into interventions be broadened geographic locations. A greater emphasis should placed identifying potential disparities, developing understanding AOT-specific change, continuing efforts identify high-quality comparison groups.

Language: Английский

Citations

1

Protocol for socioecological study of autism, suicide risk, and mental health care: Integrating machine learning and community consultation for suicide prevention DOI Creative Commons
Nicole M. Marlow, Jessica M. Kramer, Anne V. Kirby

et al.

PLoS ONE, Journal Year: 2025, Volume and Issue: 20(3), P. e0319396 - e0319396

Published: March 19, 2025

Autistic people experience higher risk of suicidal ideation (SI) and suicide attempts (SA) compared to non-autistic people, yet there is limited understanding complex, multilevel factors that drive this disparity. Further, determinants mental health service receipt among population are unknown. This study will identify socioecological associated with increased SI SA for autistic evaluate care receipt. link information individuals aged 12-64 years in healthcare claims data (IBM® MarketScan® Research Database CMS Medicaid) publicly available databases containing community policy factors, thereby creating a unique, dataset includes health, demographic, community, information. Machine learning reduction methods be applied reduce the dimensionality prior nested, empirical estimation. These techniques allow robust identification clusters 1) 2) services (type, dose, delivery modality). Throughout, research team partner an established group partners promote relevance, as well receive input guidance from council practice advisors. We hypothesize nested individual (co-occurring conditions, age, sex), (healthcare availability, social vulnerabilities), (state legislation, state Medicaid expansion) heightened SA, receipt, interdependent at all three levels. The approach lead facilitate or impede delivery. then engage partners, advisors inform development recommendations improve population.

Language: Английский

Citations

1

Mobile Mindfulness Intervention for Psychological Distress Among Intensive Care Unit Survivors DOI
Christopher E. Cox, John A. Gallis, Maren K. Olsen

et al.

JAMA Internal Medicine, Journal Year: 2024, Volume and Issue: 184(7), P. 749 - 749

Published: May 28, 2024

Although psychological distress is common among survivors of critical illness, there are few tailored therapies.

Language: Английский

Citations

5

Predicting mental health disparities using machine learning for African Americans in Southeastern Virginia DOI Creative Commons
Ismail El Moudden, Michael Bittner, Matvey V. Karpov

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Feb. 18, 2025

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

Language: Английский

Citations

0

Promoting mental health equality by investing in organizations: lessons from implementation science DOI Creative Commons
Victoria Stanhope, Mimi Choy-Brown, Meredith Doherty

et al.

Journal of Public Mental Health, Journal Year: 2025, Volume and Issue: unknown

Published: March 3, 2025

Purpose Mental health inequalities based on race and ethnicity in the USA globally persist despite efforts to address them. The COVID-19 epidemic accentuated these demonstrated extent which they are linked social determinants. However, organizations that best placed ameliorate mental often underfunded under-resourced. Investment strategies restrict funding for programmatic costs rather than general operating disproportionately impact small serve communities of color. This study aims argue effectively addressing requires investing by applying lessons learned from implementation science. Findings demonstrates how organizational factors such as leadership, supervision culture climate key success can target factors. As promoting equity is increasingly recognized a priority outcome science research, approaches inform funders support marginalized communities, giving them capacity flexibility inequalities. Originality/value paper applies findings consider organizations, particularly those well suited serving needs diverse communities.

Language: Английский

Citations

0

Variation in Hospital Admission Rates for Schizophrenia Spectrum Disorder Emergency Department Visits in 11 States DOI
Y. Nina Gao, Mark Olfson

Psychiatric Services, Journal Year: 2025, Volume and Issue: unknown

Published: March 11, 2025

The authors examined patterns in hospital admission rates for patients with a schizophrenia spectrum disorder (SSD)-related visit to an emergency department (ED). identified 116,928 ED visits SSD across 1,071 hospitals 11-state sample drawn from the 2020 State Emergency Department Databases and Inpatient Databases. distribution of hospital-level was described by using finite mixture model. Hospital- county-level characteristics were compared low, medium, or high shares. Admission shares highly variable multimodal hospitals. Although overall mean share patient primary diagnosis 56.6% (95% CI=53.0%-60.2%), 5.6% CI=4.8%-6.4%) lowest quintile 95.4% CI=94.6%-96.3%) highest quintile. presence psychiatric beds associated increased odds (OR=2.56, 95% CI=1.83-3.59). A hospital's size, mental health volume, urbanicity, availability consultation, services, outpatient as well inpatient beds, not significantly rates. Hospital varied widely, positively admission. These findings raise equity concerns suggesting that variation bed contributes disposition SSD-related visit.

Language: Английский

Citations

0

Racial and Ethnic Disparities in EMS Use of Restraints and Sedation for Patients With Behavioral Health Emergencies DOI Creative Commons
Diana M. Bongiorno, Gregory A. Peters, Margaret Samuels‐Kalow

et al.

JAMA Network Open, Journal Year: 2025, Volume and Issue: 8(3), P. e251281 - e251281

Published: March 20, 2025

Importance Emergency medical services (EMS) clinicians commonly care for patients with behavioral health emergencies (BHEs), including acute agitation. There are known racial and ethnic disparities in the use of physical restraint chemical sedation BHEs emergency department settings, but less is about prehospital or sedation. Objective To investigate association patient race ethnicity during EMS encounters BHEs. Design, Setting, Participants This nationwide retrospective cohort study used data from agencies across US that participated 2021 ESO Data Collaborative research dataset. among aged 16 to 90 years a primary secondary impression, sign symptom, protocol associated BHE January 1 December 31, 2021, were included. Statistical analysis was conducted July 2023 March 2024. Exposures Patient ethnicity, which categorized as Hispanic, non-Hispanic Black, White, other (American Indian Alaska Native, Asian, Hawaiian Native Other Pacific Islander, other, multiracial), unknown. Main Outcomes Measures The outcome administration any and/or (defined antipsychotic medication, benzodiazepine, ketamine). Results A total 661 307 (median age, 41 [IQR, 30-56 years]; 56.9% male) Race documented 9.9% 20.2% 59.5% 1.9% 8.6% unknown ethnicity. Restraint 46 042 (7.0%) encounters, differed groups (Hispanic, 10.6%; 7.9%; 6.1%; 10.9%; 5.9%; P < .001). In mixed-effects logistic regression models accounting clustering by agency adjusted gender, urbanicity, community diversity, who Black had significantly greater odds being restrained sedated all categories compared White (eg, sedation: ratio [AOR], 1.17 [95% CI, 1.14-1.21]; restraint: AOR, 1.22 1.18-1.26]). no significant difference remaining patients. Clustering agency-level variation (intraclass correlation coefficient, 0.16 0.14-0.17]). Conclusions Relevance found differences an use. These may inform improvements protocols training aimed at equitable

Language: Английский

Citations

0