Gender Differences in the Path to Medical School Deanship.

Importance: Women account for only 28% of current US medical school deans. Studying the differences between women and men in their preparation to becoming deans might help to explain this discrepancy. Objective: To identify differences in the leadership development experiences between women and men in their ascent to the medical school deanship. Design, Setting, and Participants: In this qualitative study, volunteers from the roster of the Association of American Medical Colleges Council of Deans were solicited and interviewed from June 15 to November 9, 2023. Women deans were recruited first, then men who had been appointed to their deanships at a similar time to their women counterparts were recruited. Deans were interviewed on topics related to number of applications for deanships, prior leadership roles, leadership development, personal factors, and career trajectories. Interviews were coded, and themes were extracted through conventional content analysis. Main Outcome and Measures: Career and leadership development experiences were elicited using a semistructured interview guide. Results: We interviewed 17 women and 17 men deans, representing 25.8% (34 of 132) of the total population of US medical school deans. Most deans (23 [67.6%]) practiced a medicine-based specialty or subspecialty. No statistically significant differences were found between women and men with regard to years to attain deanship (mean [SD], 2.7 [3.4] vs 3.7 [3.7] years), years as a dean (mean [SD], 5.7 [5.2] vs 6.0 [5.0] years), highest salary during career (mean [SD], $525 769 [$199 936] vs $416 923 [$195 848]), or medical school rankings (mean [SD], 315.5 [394.5] vs 480.5 [448.9]). Their reports indicated substantive gender differences in their paths to becoming a dean. Compared with men, women deans reported having to work harder to advance, while receiving less support and opportunities for leadership positions by their own institutions. Subsequently, women sought leadership development from external programs. Women deans also experienced gender bias when working with search firms. Conclusions and Relevance: This qualitative study of US medical school deans found that compared with men, women needed to be more proactive, had to participate in external leadership development programs, and had to confront biases during the search process. For rising women leaders, this lack of support had consequences, such as burnout and attrition, potentially affecting the makeup of future generations of medical school deans. Institutional initiatives centering on leadership development of women is needed to mitigate the gender biases and barriers faced by aspiring women leaders.

Cervical Cancer Screening Among Female Medicaid Beneficiaries With and Without Schizophrenia.

BACKGROUND AND HYPOTHESIS: In the United States, women with schizophrenia face challenges in receiving gynecologic care, but little is known about how cervical cancer screening rates vary across time or states in a publicly insured population. We hypothesized that women Medicaid beneficiaries with schizophrenia would be less likely to receive cervical cancer screening across the United States compared with a control population, and that women with schizophrenia and other markers of vulnerability would be least likely to receive screening. STUDY DESIGN: This retrospective cohort study used US Medicaid administrative data from across 44 states between 2002 and 2012 and examined differences in cervical cancer screening test rates among 283 950 female Medicaid beneficiaries with schizophrenia and a frequency-matched control group without serious mental illness, matched on age and race/ethnicity. Among women with schizophrenia, multivariable logistic regression estimated the odds of receiving cervical cancer screening using individual sociodemographics, comorbid conditions, and health care service utilization. STUDY RESULTS: Compared to the control group, women with schizophrenia were less likely to receive cervical cancer screening (OR = 0.76; 95% CI 0.75-0.77). Among women with schizophrenia, nonwhite populations, younger women, urban dwellers, those with substance use disorders, anxiety, and depression and those connected to primary care were more likely to complete screening. CONCLUSIONS: Cervical cancer screening rates among US women Medicaid beneficiaries with schizophrenia were suboptimal. To address cervical cancer care disparities for this population, interventions are needed to prioritize women with schizophrenia who are less engaged with the health care system or who reside in rural areas.

Bring It Up: An Adapted Collaborative Care Model for Depression in a Safety-Net Primary Care Clinic.

Objective: Over 90 clinical trials demonstrate the efficacy of the collaborative care model (CoCM) to treat depression in primary care but there is significant variability in real-world CoCM implementation and scalability. This study aimed to determine the feasibility and effectiveness of an adapted CoCM in a safety-net primary care setting. Methods: Bring It Up! (BIU) is a pilot trial comparing an adapted CoCM (intervention group) to usual care (historical controls) for primary care safety-net clinic patients with depression. Inclusion criteria: (1) age ≥18; (2) Patient Health Questionnaire-9 (PHQ-9) score ≥10; and (3) major depressive disorder diagnosis. Patients who completed ≥6 months of treatment upon rolling enrollment (April 1, 2018-October 31, 2019) were included. Historical controls completed ≥6 months of usual care in 2017. BIU included all aspects of CoCM except accountable care and leveraged existing staff rather than a dedicated care manager. The primary outcome was depression remission (PHQ-9 <5) within 6 months. Secondary outcomes included depression response, adherence to treatment guidelines and care coordination process. Data were extracted from the electronic health record. Results: Thirty-six patients received the intervention; 41 controls received usual care. Depression remission was achieved in 33.3% of intervention patients and 0% of controls (p = 0.001). Of intervention patients, 44.4% achieved ≥50% reduction in PHQ-9 compared to 4.9% of controls (p = 0.003). Further, 66.7% of intervention patients had guideline-recommended antidepressant medication titration compared to 26.9% of controls (p = 0.003); 94.4% of intervention patients had PHQ-9 repeated compared to 53.7% of controls (p < 0.001). Conclusions: An adapted CoCM was feasible and improved depression care in a safety-net clinic.

Care challenges and silver linings in HIV and behavioral health service delivery for individuals living with HIV and severe mental illness during the COVID-19 pandemic: a qualitative study.

BACKGROUND: There has been a longstanding effort to integrate behavioral health and HIV care for people with comorbid HIV and behavioral health needs, including those with severe mental illness (SMI). As this population frequents both behavioral health and HIV care settings, they were likely to experience new obstacles to the quality and availability of care during the COVID-19 pandemic. This study aims to describe how clinics for HIV services or behavioral healthcare-as well as co-located sites providing both-sought to rapidly shift protocols to maintain a standard of patient care for people with comorbid HIV and SMI while adapting to the unprecedented circumstances of the pandemic. METHODS: We interviewed HIV and behavioral healthcare providers, clinic leaders, and support service agencies that served clients impacted by both HIV and SMI. Seventeen key informants across three settings (HIV care settings, behavioral health care settings, and integrated or co-located care settings) were interviewed in 2022. Interviews focused on changes in clinical services, protocols, and care provision strategies during and at the onset of the COVID-19 pandemic. Interviews were transcribed and coded using thematic analysis. RESULTS: Commonly endorsed themes included both positive and negative changes in care and care provision during the pandemic. Negative impacts of the pandemic included the loss of physical space, exacerbated mental health needs and disengagement in HIV care, patient barriers to telehealth and the digital divide, and increased healthcare workforce burnout. Positive changes included improved healthcare delivery and care engagement through telehealth, new opportunities to provide a wide range of social services, paradoxical increases in engagement in HIV care for certain patients, and broad institution of workforce wellness practices. CONCLUSIONS: Though COVID-19 presented several complex barriers to care for providers serving patients with comorbid HIV and SMI, the increased flexibility afforded by telehealth and a greater focus on collaborative approaches to patient care may benefit this patient population in the future. Additionally, the focus on workforce wellness may serve to increase retention and avoid burnout among providers. The strategies and lessons learned through adapting to COVID-19 may be invaluable moving forward as healthcare systems respond to future pandemics.

Implementation of a Suicide Risk Screening Clinical Pathway in a Children's Hospital: A Feasibility Study.

OBJECTIVES: Youth suicide is a pressing global concern. Prior research has developed evidence-driven clinical pathways to screen and identify suicide risk among pediatric patients in outpatient clinics, emergency departments (ED) and inpatient hospital units. However, the feasibility of implementing these pathways remains to be established. Here, we share the results of a hospital-wide "youth suicide risk screening pathway" implementation trial at an urban academic pediatric hospital to address this gap. METHODS: A 3-tier "youth suicide risk screening pathway" using The Ask Suicide-Screening Questions (ASQ) was implemented for patients aged 10 to 26 years who received care at an urban academic pediatric hospital's emergency department or inpatient units. We retrospectively reviewed implementation outcomes of this pathway from January 1 to August 31, 2019. The feasibility of this implementation was measured by assessing the pathway's degree of execution, fidelity, resource utilization, and acceptability. RESULTS: Of 4108 eligible patient encounters, 3424 (83%) completed the screen. Forty-eight (1%) screened acute positive, 263 (8%) screened nonacute positive and 3113 (91%) screened negative. Patients reporting positive suicide risk were more likely to be older and female, although more males required specialty mental health evaluations. Pathway fidelity was 83% among all positive screens and 94% among acute positive screens. The clinical pathway implementation required 16 hours of provider training time and was associated with slightly longer length of stay for inpatients that screened positive (4 vs 3 days). Sixty-five percent of nurses and 78% of social work providers surveyed supported participation in this effort. CONCLUSIONS: It is feasible to implement a youth suicide risk screening pathway without overburdening the system at an urban academic pediatric hospital.

HIV Viral Suppression Among Psychiatric Inpatients with Schizophrenia in San Francisco: A Retrospective Cohort Study.

People with schizophrenia are at increased risk for contracting HIV and face higher mortality rates compared with the general population. Viral suppression is key to HIV care, yet little is known about this metric among people with HIV and schizophrenia. A chart review was conducted among people with HIV/AIDS and schizophrenia living in San Francisco who had received inpatient mental health services between 2010 and 2016. Demographic, laboratory, medication, encounter, and discharge data were collected, and were compared with all people living with HIV in San Francisco (PLWH-SF). Among 153 people living with HIV and comorbid schizophrenia, 77% were virally suppressed, compared to 67% for all PLWH-SF. Viral suppression for people with comorbid HIV and schizophrenia living in San Francisco appears higher than PLWH-SF. Further research is needed to confirm the association and mechanisms behind better treatment outcomes for people living with HIV and comorbid schizophrenia.

Mental Health Distress and Delayed Contraception Among Older Adolescents and Young Adults.

Background: Symptoms of mental distress increased sharply during the COVID-19 pandemic, especially among older adolescents and young adults. Mental health distress may make it more challenging for young people to seek other needed health care, including contraception. This study explored the association of symptoms of depression, anxiety, and stress with delays in getting a contraceptive method or prescription. Materials and Methods: Data from a supplementary study (May 15, 2020-March 20, 2023) to a cluster randomized trial in 29 sites in Texas and California were used. The diverse study sample included community college students assigned female at birth of ages 18-29 years (n = 1,665 with 7,023 observations over time). We measured the association of depression (CES-D [Center for Epidemiologic Studies Depression Scale]) or anxiety and stress (DASS-21 [Depression Anxiety Stress Scales]) symptoms with delayed contraceptive care-seeking with mixed-effects multivariable regression with random effects for individual and site. We controlled for age and sociodemographic factors important for access to care. Results: Over one-third of participants (35%) reported they delayed getting the contraceptive method they needed. Multivariable regression results showed increased odds of delayed contraceptive care among participants with symptoms of depression (adjusted odds ratio [aOR] 1.58, 95% confidence interval [CI] 1.27-1.96). Likewise, delays were associated with anxiety and stress symptoms (aOR 1.46, 95% CI 1.17-1.82). Adolescents were more likely to delay seeking contraception than young adults (aOR 1.32, 95% CI 1.07-1.63). Conclusions: Results showed a strong association between mental distress and delayed contraception. Interventions are needed to increase contraceptive access for young people delaying care, along with supportive mental health care services, including for adolescents who face elevated odds of delay. ClinicalTrials.gov Identifier: NCT03519685.

A Closed-Loop Digital Health Tool to Improve Depression Care in Multiple Sclerosis: Iterative Design and Cross-Sectional Pilot Randomized Controlled Trial and its Impact on Depression Care.

BACKGROUND: People living with multiple sclerosis (MS) face a higher likelihood of being diagnosed with a depressive disorder than the general population. Although many low-cost screening tools and evidence-based interventions exist, depression in people living with MS is underreported, underascertained by clinicians, and undertreated. OBJECTIVE: This study aims to design a closed-loop tool to improve depression care for these patients. It would support regular depression screening, tie into the point of care, and support shared decision-making and comprehensive follow-up. After an initial development phase, this study involved a proof-of-concept pilot randomized controlled trial (RCT) validation phase and a detailed human-centered design (HCD) phase. METHODS: During the initial development phase, the technological infrastructure of a clinician-facing point-of-care clinical dashboard for MS management (BRIDGE) was leveraged to incorporate features that would support depression screening and comprehensive care (Care Technology to Ascertain, Treat, and Engage the Community to Heal Depression in people living with MS [MS CATCH]). This linked a patient survey, in-basket messages, and a clinician dashboard. During the pilot RCT phase, a convenience sample of 50 adults with MS was recruited from a single MS center with 9-item Patient Health Questionnaire scores of 5-19 (mild to moderately severe depression). During the routine MS visit, their clinicians were either asked or not to use MS CATCH to review their scores and care outcomes were collected. During the HCD phase, the MS CATCH components were iteratively modified based on feedback from stakeholders: people living with MS, MS clinicians, and interprofessional experts. RESULTS: MS CATCH links 3 features designed to support mood reporting and ascertainment, comprehensive evidence-based management, and clinician and patient self-management behaviors likely to lead to sustained depression relief. In the pilot RCT (n=50 visits), visits in which the clinician was randomized to use MS CATCH had more notes documenting a discussion of depressive symptoms than those in which MS CATCH was not used (75% vs 34.6%; χ21=8.2; P=.004). During the HCD phase, 45 people living with MS, clinicians, and other experts participated in the design and refinement. The final testing round included 20 people living with MS and 10 clinicians including 5 not affiliated with our health system. Most scoring targets for likeability and usability, including perceived ease of use and perceived effectiveness, were met. Net Promoter Scale was 50 for patients and 40 for clinicians. CONCLUSIONS: Created with extensive stakeholder feedback, MS CATCH is a closed-loop system aimed to increase communication about depression between people living with MS and their clinicians, and ultimately improve depression care. The pilot findings showed evidence of enhanced communication. Stakeholders also advised on trial design features of a full year long Department of Defense-funded feasibility and efficacy trial, which is now underway. TRIAL REGISTRATION: ClinicalTrials.gov NCT05865405; http://tinyurl.com/4zkvru9x.

Pragmatic phase II clinical trial to improve depression care in a real-world diverse MS cohort from an academic MS centre in Northern California: MS CATCH study protocol.

INTRODUCTION: Depression occurs in over 50% of individuals living with multiple sclerosis (MS) and can be treated using many modalities. Yet, it remains: under-reported by patients, under-ascertained by clinicians and under-treated. To enhance these three behaviours likely to promote evidence-based depression care, we engaged multiple stakeholders to iteratively design a first-in-kind digital health tool. The tool, MS CATCH (Care technology to Ascertain, Treat, and engage the Community to Heal depression in patients with MS), closes the communication loop between patients and clinicians. Between clinical visits, the tool queries patients monthly about mood symptoms, supports patient self-management and alerts clinicians to worsening mood via their electronic health record in-basket. Clinicians can also access an MS CATCH dashboard displaying patients' mood scores over the course of their disease, and providing comprehensive management tools (contributing factors, antidepressant pathway, resources in patient's neighbourhood). The goal of the current trial is to evaluate the clinical effect and usability of MS CATCH in a real-world clinical setting. METHODS AND ANALYSIS: MS CATCH is a single-site, phase II randomised, delayed start, trial enrolling 125 adults with MS and mild to moderately severe depression. Arm 1 will receive MS CATCH for 12 months, and arm 2 will receive usual care for 6 months, then MS CATCH for 6 months. Clinicians will be randomised to avoid practice effects. The effectiveness analysis is superiority intent-to-treat comparing MS CATCH to usual care over 6 months (primary outcome: evidence of screening and treatment; secondary outcome: Hospital Anxiety Depression Scale-Depression scores). The usability of the intervention will also be evaluated (primary outcome: adoption; secondary outcomes: adherence, engagement, satisfaction). ETHICS AND DISSEMINATION: University of California, San Francisco Institutional Review Board (22-36620). The findings of the study are planned to be shared through conferences and publishments in a peer-reviewed journal. The deidentified dataset will be shared with qualified collaborators on request, provision of CITI and other certifications, and data sharing agreement. We will share the results, once the data are complete and analysed, with the scientific community and patient/clinician participants through abstracts, presentations and manuscripts. TRIAL REGISTRATION NUMBER: NCT05865405.

Building a Diverse Psychiatric Workforce for the Future and Helping Them Thrive: Recommendations for Psychiatry Training Directors.

The COVID-19 pandemic and murder of Mr George Floyd served as catalysts for examining antiracism efforts in psychiatry training programs and health care systems. Our recruitment and retention of Black, Indigenous, and other racial/ethnic minority psychiatry trainees has not met the demand for care and does not represent the communities served. Training directors at a critical juncture in creating systemic changes to recruitment, retention, policies, and curricular competencies to address ongoing inequities and disparities in health care. We describe several strategies and considerations for training directors in supporting a diverse psychiatric workforce.

Addressing Eldercare to Promote Gender Equity in Academic Medicine.

This Viewpoint argues for an expansion of paid family leave policies to include eldercare as a way to support the well-being of faculty members, retain physicians, and promote gender equity in academic medicine.

Policies to Support Lactation at Highly Ranked US Medical Schools.

This cross-sectional study analyzes lactation support policies at the top 50 US schools of medicine.

Informal Caregiving Among Faculty at a Large Academic Health Sciences University in the United States: an Opportunity for Policy Changes.

OBJECTIVE: This article aims to determine the prevalence of caregiving among faculty at a large academic health sciences institution, to examine the effect of gender and other demographic and professional covariates on caregiving status, and to explore caregiver-generated policy recommendations. METHOD: A cross-sectional, mixed-methods survey was collected from June through August 2018. Participants were faculty within one of the institution's health professional schools (dentistry, medicine, nursing, or pharmacy) receiving at least 50% salary from the institution. In addition to demographic information, we collected academic series and rank, and assessed association between covariates on caregiving status using logistic regression. We analyzed open-ended responses using thematic analysis to identify themes in caregiver barriers and policy suggestions. RESULTS: Among 657 eligible respondents, 11.4% were informal caregivers. Women were more likely to be caregivers than men (aOR 2.53, 95% CI: 1.40, 4.78), as were older faculty. Caregivers identified unsupportive climate or unrealistic work expectations, concern about career advancement, insufficient information about policies, and concern about colleague burden as barriers to support. Suggestions for workplace support included improved leave policies, increased flexibility, caregiver resource support, improved clarity and dissemination of policy information, and financial support. CONCLUSIONS: Women faculty are more likely to be informal caregivers, exacerbating disparities within academic medicine for promotion and retention among women faculty. Institutions might include caregiving status in annual burnout surveys to guide the development of structural support and policies for extension of family leave beyond childbearing (or catastrophic leave), flexibility in work hours, and subsidized eldercare services.

Serious Mental Illness, Glycemic Control, and Neighborhood Factors within an Urban Diabetes Cohort.

BACKGROUND AND HYPOTHESIS: Serious mental illness (SMI) may compromise diabetes self-management. This study assessed the association between SMI and glycemic control, and explored sociodemographic predictors and geographic clustering of this outcome among patients with and without SMI. STUDY DESIGN: We used electronic health record data for adult primary care patients with diabetes from 2 San Francisco health care delivery systems. The primary outcome was poor glycemic control (hemoglobin A1c >9.0%), which was modeled on SMI diagnosis status and sociodemographics. Geospatial analyses examined hotspots of poor glycemic control and neighborhood characteristics. STUDY RESULTS: The study included 11 694 participants with diabetes, 21% with comorbid SMI, of whom 22% had a schizophrenia spectrum or bipolar disorder. Median age was 62 years; 52% were female and 79% were Asian, Black, or Hispanic. In adjusted models, having schizophrenia spectrum disorder or bipolar disorder was associated with greater risk for poor glycemic control (vs participants without SMI, adjusted relative risk [aRR] = 1.24; 95% confidence interval, 1.02, 1.49), but having broadly defined SMI was not. People with and without SMI had similar sociodemographic correlates of poor glycemic control including younger versus older age, Hispanic versus non-Hispanic White race/ethnicity, and English versus Chinese language preference. Hotspots for poor glycemic control were found in neighborhoods with more lower-income, Hispanic, and Black residents. CONCLUSIONS: Poor diabetes control was significantly related to having a schizophrenia spectrum or bipolar disorder, and to sociodemographic factors and neighborhood. Community-based mental health clinics in hotspots could be targets for implementation of diabetes management services.

US Postgraduate Trainee Racial, Ethnic, and Gender Representation and Faculty Compensation By Specialty.

This study compares postgraduate trainee racial, ethnic, and gender representation and faculty compensation for 21 clinical specialties using 2015-2022 data.

Envisioning the Future of Well-Being Efforts for Health Care Workers-Successes and Lessons Learned From the COVID-19 Pandemic.

Importance: The National Academy of Medicine's National Plan for Health Workforce Well-Being provides recommendations for supporting the mental health and well-being of health care workers. This article aims to guide implementation of National Academy of Medicine recommendations by describing 2 programs at Columbia University Irving Medical Center and the University of California, San Francisco (UCSF), designed early in the COVID-19 pandemic to respond to the behavioral health needs of the health care workforce. The development of these programs, their similarities and differences, and the key lessons learned are discussed. Observations: The well-being programs, CopeColumbia and UCSF Cope, shared key elements. Both efforts were led by their respective departments of psychiatry and used similar frameworks. Teams created strategic cross-university partnerships to share difficulties and successes across both programs. Moreover, both programs addressed compounding stressors of racial and political unrest, evaluated program components, and created resources for employee self-management. CopeColumbia and UCSF Cope differed in approaches to identifying high-risk employees and formal assessment and treatment pathways. From the authors' experience implementing these programs and having knowledge regarding health care workforce burnout, this article offers recommendations for the development of well-being programs. These include structural changes and resources to promote group and individual well-being emphasizing equity and justice, intentional involvement of psychiatry on well-being leadership teams, and bold efforts to destigmatize mental health care alongside clear paths to mental health treatment. Conclusions and Relevance: The impact of the COVID-19 pandemic revealed a need for institutions to support the mental health and emotional well-being of health care workers. By outlining the development and implementation of 2 well-being programs in large academic health care settings and making recommendations to promote workforce well-being, it is the authors' hope that leaders will be empowered to carry forward critical changes. Most importantly, implementing plans now will provide the resilience needed both for the long shadow of the pandemic and future crises.

Examining the Impact of State-Level Factors on HIV Testing for Medicaid Enrollees With Schizophrenia.

BACKGROUND: People with schizophrenia experience unique barriers to routine HIV testing, despite increased risk of HIV compared with the general US population. Little is known about how health care delivery system factors affect testing rates or whether there are testing differences for people with schizophrenia. SETTING: Nationally representative sample of Medicaid enrollees with and without schizophrenia. METHODS: Using retrospective longitudinal data, we examined whether state-level factors were associated with differences in HIV testing among Medicaid enrollees with schizophrenia compared with frequency-matched controls during 2002-2012. Multivariable logistic regression estimated testing rate differences between and within cohorts. RESULTS: Higher HIV testing rates for enrollees with schizophrenia were associated with higher state-level Medicaid spending per enrollee, efforts to reduce Medicaid fragmentation, and higher federal prevention funding. State-level AIDS epidemiology predicted more frequent HIV testing for enrollees with schizophrenia versus controls. Living in rural settings predicted lower HIV testing, especially for people with schizophrenia. CONCLUSION: Overall, state-level predictors of HIV testing rates varied among Medicaid enrollees, although rates were generally higher for those with schizophrenia than controls. Increased HIV testing for people with schizophrenia was associated with coverage of HIV testing when medically necessary, higher Centers for Disease Control and Prevention prevention funding, and higher AIDS incidence, prevalence, and mortality when compared with controls. This analysis suggests that state policymaking has an important role to play in advancing that effort. Overcoming fragmented care systems, sustaining robust prevention funding, and consolidating funding streams in innovative and flexible ways to support more comprehensive systems of care delivery deserve attention.

Meeting the Behavioral Health Needs of Health Care Workers During COVID-19 by Leveraging Chatbot Technology: Development and Usability Study.

BACKGROUND: During the COVID-19 pandemic, health care systems were faced with the urgent need to implement strategies to address the behavioral health needs of health care workers. A primary concern of any large health care system is developing an easy-to-access, streamlined system of triage and support despite limited behavioral health resources. OBJECTIVE: This study provides a detailed description of the design and implementation of a chatbot program designed to triage and facilitate access to behavioral health assessment and treatment for the workforce of a large academic medical center. The University of California, San Francisco (UCSF) Faculty, Staff, and Trainee Coping and Resiliency Program (UCSF Cope) aimed to provide timely access to a live telehealth navigator for triage and live telehealth assessment and treatment, curated web-based self-management tools, and nontreatment support groups for those experiencing stress related to their unique roles. METHODS: In a public-private partnership, the UCSF Cope team built a chatbot to triage employees based on behavioral health needs. The chatbot is an algorithm-based, automated, and interactive artificial intelligence conversational tool that uses natural language understanding to engage users by presenting a series of questions with simple multiple-choice answers. The goal of each chatbot session was to guide users to services that were appropriate for their needs. Designers developed a chatbot data dashboard to identify and follow trends directly through the chatbot. Regarding other program elements, website user data were collected monthly and participant satisfaction was gathered for each nontreatment support group. RESULTS: The UCSF Cope chatbot was rapidly developed and launched on April 20, 2020. As of May 31, 2022, a total of 10.88% (3785/34,790) of employees accessed the technology. Among those reporting any form of psychological distress, 39.7% (708/1783) of employees requested in-person services, including those who had an existing provider. UCSF employees responded positively to all program elements. As of May 31, 2022, the UCSF Cope website had 615,334 unique users, with 66,585 unique views of webinars and 601,471 unique views of video shorts. All units across UCSF were reached by UCSF Cope staff for special interventions, with >40 units requesting these services. Town halls were particularly well received, with >80% of attendees reporting the experience as helpful. CONCLUSIONS: UCSF Cope used chatbot technology to incorporate individualized behavioral health triage, assessment, treatment, and general emotional support for an entire employee base (N=34,790). This level of triage for a population of this size would not have been possible without the use of chatbot technology. The UCSF Cope model has the potential to be scaled, adapted, and implemented across both academically and nonacademically affiliated medical settings.