[{"command":"insert","method":"html","selector":".main","data":"\u003Cul\u003E\u003Cli\u003E\u003Cdiv class=\u0022item\u0022\u003E\u003Cp class=\u0022item-text pub-content\u0022\u003E\u003Cspan\u003EA Comparison of Depressive Symptom Self-Reported Measures in the Texas Youth Depression and Suicide Research Network (TX-YDSRN)\u003C\/span\u003E\u003C\/p\u003E\u003Cdiv class=\u0022item-content\u0022\u003EUnder-diagnosis or delayed diagnosis of depression results in worse patient outcomes. Screening instruments help to address diagnosis but are underused in clinical practice. The use of different screening instruments by providers and by researchers makes it more difficult to assemble population-level data or interpret research findings in clinically useful ways. \u201cCrosswalks\u201d can be created that reliably allow the conversion of scores in one instrument to scores in another. The current report assessed the psychometric properties of the Patient Health Questionnaire \u2013 Adolescent (PHQ-A), 16-item self-reported Quick Inventory of Depressive Symptoms (QIDS-SR16), and its 5-item version, VQIDS-SR5, and established crosswalks between the measures. The three measures were found to be psychometrically sound in our sample, and each was sensitive to change over a one-month time period. Each measure could be reliably converted into the others. The 5-item VQIDS-SR5 holds promise as an effective tool for screening or repeated assessment due to its short length.\u003Cp\u003E\u003Cp\u003ENandy, K., Rush, A. J., Carmody, T., Kennard, B. D., Emslie, G. J., Slater, H., Mayes, T. L., DeFilippis, M., Garza, C., Storch, E. A., Wakefield, S. M., \u0026amp; Trivedi, M. H. (2023). A comparison of depressive symptom self-reported measures in the Texas Youth Depression and Suicide Research Network (TX-YDSRN). \u003Cem\u003EThe Journal of Clinical Psychiatry, 85\u003C\/em\u003E(1). \u003Ca href=\u0022https:\/\/doi.org\/10.4088\/jcp.23m14861\u0022 target=\u0022_blank\u0022\u003Ehttps:\/\/doi.org\/10.4088\/jcp.23m14861\u003C\/a\u003E\u003C\/p\u003E\r\n\u003C\/p\u003E\u003Cul class=\u0022tag-wrapper\u0022\u003E\u003Cli class=\u0022pub-tag\u0022\u003EDepression\u003C\/li\u003E\u003Cli class=\u0022pub-tag\u0022\u003EMeasurement-Based Care\u003C\/li\u003E\u003C\/ul\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/doi.org\/10.4088\/jcp.23m14861 \u00a0\u0022 class=\u0022p-read-more\u0022 target=\u0022_blank\u0022\u003ERead More\u003C\/a\u003E\u003C\/p\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/li\u003E\u003Cli\u003E\u003Cdiv class=\u0022item\u0022\u003E\u003Cp class=\u0022item-text pub-content\u0022\u003E\u003Cspan\u003ECharacterizing Measurement-Based Care in the Texas Youth Depression and Suicide Research Network (TX-YDSRN)\u003C\/span\u003E\u003C\/p\u003E\u003Cdiv class=\u0022item-content\u0022\u003EOne of the main goals of TX-YDSRN is to expand the use of measurement-based care (MBC) in the state of Texas. To assess the current use of standardized measurement across the sites participating in TX-YDSRN, a dedicated committee developed a data collection tool designed to describe whether and how the patients were assessed for depression, anxiety, treatment side effects, and adherence. A subsequent chart review of clinical visits indicated that 71% of sites used standardized depression measures and 64% used anxiety measures. When it came to measures assessing medication adherence and side effects, those were limited to less than 6% for both (despite medication changing in nearly half of the participants), with the majority of the sites using clinical interviews to gauge adherence and side effects. Considering that the use of MBC has been linked to better outcomes in mental health treatment, it is crucial to continue to increase the use of standardized tools.\u003Cp\u003E\u003Cp\u003ESlater, H., AlZubi, Y., Rezaeizadeh, A., Hughes, J. L., Gorman, A., Mayes, T. L., Elmore, J. S., Storch, E. A., Wakefield, S. M., \u0026amp; Trivedi, M. H. (2024). Characterizing measurement-based care in the Texas Youth Depression and Suicide Research Network (TX-YDSRN). \u003Cem\u003EChild Psychiatry \u0026amp; Human Development.\u003C\/em\u003E \u003Ca href=\u0022https:\/\/doi.org\/10.1007\/s10578-023-01653-3\u0022 target=\u0022_blank\u0022\u003Ehttps:\/\/doi.org\/10.1007\/s10578-023-01653-3\u003C\/a\u003E\u003C\/p\u003E\r\n\u003C\/p\u003E\u003Cul class=\u0022tag-wrapper\u0022\u003E\u003Cli class=\u0022pub-tag\u0022\u003EMeasurement-Based Care\u003C\/li\u003E\u003Cli class=\u0022pub-tag\u0022\u003EDepression\u003C\/li\u003E\u003Cli class=\u0022pub-tag\u0022\u003EAnxiety\u003C\/li\u003E\u003Cli class=\u0022pub-tag\u0022\u003ESuicidality\u003C\/li\u003E\u003C\/ul\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/doi.org\/10.1007\/s10578-023-01653-3\u0022 class=\u0022p-read-more\u0022 target=\u0022_blank\u0022\u003ERead More\u003C\/a\u003E\u003C\/p\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/li\u003E\u003Cli\u003E\u003Cdiv class=\u0022item\u0022\u003E\u003Cp class=\u0022item-text pub-content\u0022\u003E\u003Cspan\u003EClinical Correlates of Anxious Depression among Youth with Major Depressive Disorder\u003C\/span\u003E\u003C\/p\u003E\u003Cdiv class=\u0022item-content\u0022\u003EAnxious depression has been identified as a prevalent subtype of Major Depressive Disorder (MDD), though research has mainly focused on adult samples. In this study, we sought to identify the prevalence of anxious depression in a youth sample and to investigate the clinical correlates of anxious depression. Of youth in our baseline sample with depression diagnoses, 59.5% were identified as having anxious depression. Youth with anxious depression had increased depression symptom severity, anxiety symptom severity, suicidality, and rates of comorbid anxiety disorders compared to youth with non-anxious depression. Greater impairments in physical and social functioning were also measured in those with anxious depression. Given the clinical features associated with anxious depression in youth, this study demonstrates the utility of anxious depression as a diagnostic subtype of depression, in addition to demonstrating its high prevalence in youth.\u003Cp\u003E\u003Cp\u003EAyvaci, E. R., Nandy, K., Gorman, A., Minhajuddin, A., Riddle, D., Storch, E. A., Soutullo, C. A., Hettema, J. M., Slater, H., Wakefield, S. M., \u0026amp; Trivedi, M. H. (2024). Clinical correlates of anxious depression in youth from the Texas Youth Depression and Suicide Research Network (TX-YDSRN). \u003Cem\u003EJournal of Affective Disorders\u003C\/em\u003E, \u003Cem\u003E362\u003C\/em\u003E, 510\u2013517. \u003Ca href=\u0022https:\/\/doi.org\/10.1016\/j.jad.2024.07.035\u0022 target=\u0022_blank\u0022\u003Ehttps:\/\/doi.org\/10.1016\/j.jad.2024.07.035\u003C\/a\u003E\u003C\/p\u003E\r\n\u003C\/p\u003E\u003Cul class=\u0022tag-wrapper\u0022\u003E\u003Cli class=\u0022pub-tag\u0022\u003EDepression\u003C\/li\u003E\u003Cli class=\u0022pub-tag\u0022\u003EAnxiety\u003C\/li\u003E\u003C\/ul\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/doi.org\/10.1016\/j.jad.2024.07.035\u0022 class=\u0022p-read-more\u0022 target=\u0022_blank\u0022\u003ERead More\u003C\/a\u003E\u003C\/p\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/li\u003E\u003Cli\u003E\u003Cdiv class=\u0022item\u0022\u003E\u003Cp class=\u0022item-text pub-content\u0022\u003E\u003Cspan\u003EData-Driven Subgrouping of Youths with Depression Reveals That Resilience is Associated with Higher Physical Functioning Despite High Symptom Burden in the Texas Youth Depression and Suicide Research Network\u003C\/span\u003E\u003C\/p\u003E\u003Cdiv class=\u0022item-content\u0022\u003EOne common obstacle to the effective treatment of mental health disorders is the fact that multiple people with identical diagnoses might experience different combinations of symptoms. This study set out to define subgroups of depressed youth using PROMIS, a self-report scale covering domains of physical function\/mobility, anxiety, depressive symptoms, fatigue, peer relationships, interference of pain on one\u0027s life, and pain intensity. By using a statistical technique called latent class analysis, the authors were able to separate the participants into four subgroups: 1.) youth with less severe depression and higher physical functioning; 2.) youth with more severe depression, higher pain, and lower physical functioning; 3.) youth with more severe depression and higher pain, but with higher physical functioning; 4.) youth with more severe depression, lower pain, and lower physical functioning. Importantly, subgroup 3 demonstrated higher resilience compared to subgroup 2, possibly contributing to the higher functioning found in these youth. Identifying existing subgroups of patients with the same diagnoses may allow us to learn more about the variability found in depression and help\u00a0find ways to promote better functioning in depressed youth.\u003Cp\u003E\u003Cp\u003EMinhajuddin, A., Jha, M. K., Slater, H., Mayes, T. L., Storch, E. A., Shotwell, J., Soutullo, C., Wakefield, S. M., \u0026amp; Trivedi, M. H. (2024). Data-driven subgrouping of youths with depression reveals that resilience is associated with higher physical functioning despite high symptom burden in the Texas youth depression and suicide research network (TX-YDSRN). \u003Cem\u003EJournal of Affective Disorders, 348\u003C\/em\u003E, 353\u2013361. \u003Ca href=\u0022https:\/\/doi.org\/10.1016\/j.jad.2023.12.031\u0022 target=\u0022_blank\u0022\u003Ehttps:\/\/doi.org\/10.1016\/j.jad.2023.12.031\u003C\/a\u003E\u003C\/p\u003E\r\n\u003C\/p\u003E\u003Cul class=\u0022tag-wrapper\u0022\u003E\u003Cli class=\u0022pub-tag\u0022\u003EMeasurement-Based Care\u003C\/li\u003E\u003Cli class=\u0022pub-tag\u0022\u003EDepression\u003C\/li\u003E\u003C\/ul\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/doi.org\/10.1016\/j.jad.2023.12.031\u0022 class=\u0022p-read-more\u0022 target=\u0022_blank\u0022\u003ERead More\u003C\/a\u003E\u003C\/p\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/li\u003E\u003Cli\u003E\u003Cdiv class=\u0022item\u0022\u003E\u003Cp class=\u0022item-text pub-content\u0022\u003E\u003Cspan\u003EImproving Identification and Treatment Outcomes of Treatment-Resistant Depression Through Measurement-Based Care\u003C\/span\u003E\u003C\/p\u003E\u003Cdiv class=\u0022item-content\u0022\u003EMeasurement-based care (MBC), the use of formal symptom measurements to guide care, has long been used in medicine (i.e., blood sugar for diabetes, or cholesterol for heart disease). However, MBC has not been widely adopted in psychiatry. This review summarizes the available evidence and shows that utilizing MBC to guide clinical decision-making results in better treatment outcomes in patients with treatment-resistant depression. Self-report scales are easily implemented, allowing healthcare providers without extensive psychiatric training, such as primary care physicians, to use valid, reliable, and easy-to-access measurement tools. The use of MBC to implement depression screening, particularly within primary care, likely leads to earlier detection, better treatment adherence, minimization of side effects, and quicker remission.\r\n\u003Cp\u003E\u003Cp\u003EMayes, T. L., Deane, A. E., Aramburu, H., Yagnik, K., \u0026amp; Trivedi, M. H. (2023). Improving identification and treatment outcomes of treatment-resistant depression through measurement-based care. \u003Ci\u003EPsychiatric Clinics of North America\u003C\/i\u003E, \u003Ci\u003E46\u003C\/i\u003E(2), 227\u2013245. \u003Ca href=\u0022https:\/\/doi.org\/10.1016\/j.psc.2023.02.002\u0022 target=\u0022_blank\u0022\u003Ehttps:\/\/doi.org\/10.1016\/j.psc.2023.02.002\u003C\/a\u003E\u003C\/p\u003E\r\n\u003C\/p\u003E\u003Cul class=\u0022tag-wrapper\u0022\u003E\u003Cli class=\u0022pub-tag\u0022\u003EMeasurement-Based Care\u003C\/li\u003E\u003Cli class=\u0022pub-tag\u0022\u003EDepression\u003C\/li\u003E\u003Cli class=\u0022pub-tag\u0022\u003ETreatment-Resistant Depression\u003C\/li\u003E\u003C\/ul\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/doi.org\/10.1016\/j.psc.2023.02.002\u0022 class=\u0022p-read-more\u0022 target=\u0022_blank\u0022\u003ERead More\u003C\/a\u003E\u003C\/p\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/li\u003E\u003Cli\u003E\u003Cdiv class=\u0022item\u0022\u003E\u003Cp class=\u0022item-text pub-content\u0022\u003E\u003Cspan\u003EIntegration of Measurement-Based Care for Youth Depression and Suicidality Using VitalSign6\u003C\/span\u003E\u003C\/p\u003E\u003Cdiv class=\u0022item-content\u0022\u003EPsychometrically sound measures, ease of administration and scoring, integration with electronic health records, and data-driven suggestions for clinical decision-making are some of the factors that lead to the successful implementation of measurement-based care (MBC) in depression treatment. This study evaluated VitalSign6, a software tool designed to achieve these goals. Almost two thousand youths were screened using VitalSign6 over the course of a year, with almost half of the youth having at least one follow-up assessment. About one quarter achieved remission 4 months after initial screening. Teenagers had higher depression scores, higher suicidality, and more follow-up assessments than younger patients (\u0026lt;12 years of age), while younger patients had higher rates of remission. The process of collecting data and navigating treatment showed that VitalSign6 allows for quick and easy screening of patients, displays clear visual data for providers, and produces tailored treatment recommendations for diverse intervention options. Implementing VitalSign6 eases the MBC rollout process, potentially leading to better outcomes in youth getting treatment for depression.\u003Cp\u003E\u003Cp\u003EMitchell, T. B., Wakefield, S. M., Rezaeizadeh, A., Minhajuddin, A., Pipes, R., Mayes, T. L., Elmore, J. S., \u0026amp; Trivedi, M. H. (2024). Integration of measurement-based care for youth depression and suicidality using vitalsign6. \u003Cem\u003EChild Psychiatry \u0026amp; Human Development.\u003C\/em\u003E \u003Ca href=\u0022https:\/\/doi.org\/10.1007\/s10578-024-01680-8\u0022 target=\u0022_blank\u0022\u003Ehttps:\/\/doi.org\/10.1007\/s10578-024-01680-8\u003C\/a\u003E\u003C\/p\u003E\r\n\u003C\/p\u003E\u003Cul class=\u0022tag-wrapper\u0022\u003E\u003Cli class=\u0022pub-tag\u0022\u003EMeasurement-Based Care\u003C\/li\u003E\u003Cli class=\u0022pub-tag\u0022\u003EDepression\u003C\/li\u003E\u003Cli class=\u0022pub-tag\u0022\u003ESuicidality\u003C\/li\u003E\u003C\/ul\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/doi.org\/10.1007\/s10578-024-01680-8\u0022 class=\u0022p-read-more\u0022 target=\u0022_blank\u0022\u003ERead More\u003C\/a\u003E\u003C\/p\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/li\u003E\u003Cli\u003E\u003Cdiv class=\u0022item\u0022\u003E\u003Cp class=\u0022item-text pub-content\u0022\u003E\u003Cspan\u003ELinking Trauma to Mental Health in the Statewide Texas Youth Depression and Suicide Research Network\u003C\/span\u003E\u003C\/p\u003E\u003Cdiv class=\u0022item-content\u0022\u003EYouth in the US experience trauma events at high rates, and many report experiencing more than one type of adverse childhood event before they turn 18. Exposure to these traumatic experiences is known to be linked to adverse mental and physical health outcomes. This study investigated the nature of the relationship between trauma exposure and symptoms of depression, anxiety, and suicidal ideation. To study the dose-response nature of traumatic experiences, the sample was divided into four groups: No Traumatic Exposure Categories (No TEC), 1 TEC, 2-3 TEC, and 4 or more TEC. Using PHQ-A to measure depression and GAD-7 to measure anxiety, the investigators found that the depression scores were lower in the No TEC group than in the 2-3 TEC and the \u22654 TEC groups, with cis-gendered participants having significantly lower scores than their trans\/non-binary counterparts. Similarly, significantly lower anxiety scores were found in the No TEC group compared to the other groups. In the role of suicidality, measured by CHRT-SR, only specific trauma types were significantly different from the no-trauma group, suggesting that these trauma types may be unique predictors of suicidal risk. It is important to continue investigating the role of trauma in suicidal youth to potentially develop new treatment protocols. \u003Cp\u003E\u003Cp\u003EGoodman, L. C., Elmore, J. S., Mayes, T. L., Minhajuddin, A., Slater, H., Blader, J. C., Liberzon, I., Baronia, R. B., Bivins, E. J., LaGrone, J. M., Jackson, S., Martin, S. L., Brown, R., Soares, J. C., Wakefield, S. M., \u0026amp; Trivedi, M. H. (2024). Linking trauma to mental health in the statewide Texas Youth Depression and Suicide Research Network (TX-YDSRN). \u003Cem\u003EPsychiatry Research, 331\u003C\/em\u003E, 115620. \u003Ca href=\u0022https:\/\/doi.org\/10.1016\/j.psychres.2023.115620\u0022 target=\u0022_blank\u0022\u003Ehttps:\/\/doi.org\/10.1016\/j.psychres.2023.115620\u003C\/a\u003E\u003C\/p\u003E\r\n\u003C\/p\u003E\u003Cul class=\u0022tag-wrapper\u0022\u003E\u003Cli class=\u0022pub-tag\u0022\u003ETrauma\u003C\/li\u003E\u003Cli class=\u0022pub-tag\u0022\u003EDepression\u003C\/li\u003E\u003Cli class=\u0022pub-tag\u0022\u003EAnxiety\u003C\/li\u003E\u003Cli class=\u0022pub-tag\u0022\u003ESuicidality\u003C\/li\u003E\u003C\/ul\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/doi.org\/10.1016\/j.psychres.2023.115620\u0022 class=\u0022p-read-more\u0022 target=\u0022_blank\u0022\u003ERead More\u003C\/a\u003E\u003C\/p\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/li\u003E\u003Cli\u003E\u003Cdiv class=\u0022item\u0022\u003E\u003Cp class=\u0022item-text pub-content\u0022\u003E\u003Cspan\u003EMeasurement Choices for Youth Suicidality\u003C\/span\u003E\u003C\/p\u003E\u003Cdiv class=\u0022item-content\u0022\u003EWith alarming rates of suicide among youth, the use of valid and reliable suicidality screening tools is vital. Many youths who end up screening positive for suicidal ideation display no apparent mental health challenges, thus screening plays an important role in helping to manage this mental health crisis. This review proposes that primary care is an optimal setting to detect suicidality early and provide appropriate monitoring and care. While the preferred tools used to assess suicidality can vary drastically among providers, with some preferring self-report questionnaires and others relying on clinician-administered forms, they all involve similar questions concerning suicidal thoughts, behaviors, and plans. The authors also provide an overview of available measures of youth suicidality, discussing their psychometric characteristics as well as clinical feasibility. \u003Cp\u003E\u003Cp\u003EBusby, D. R., Hughes, J. L., Walters, M., Ihediwa, A., Adeniran, M., Goodman, L., \u0026amp; Mayes, T. L. (2023). Measurement choices for youth suicidality. \u003Cem\u003EChild Psychiatry \u0026amp; Human Development.\u003C\/em\u003E \u003Ca href=\u0022https:\/\/doi.org\/10.1007\/s10578-023-01627-5\u0022 target=\u0022_blank\u0022\u003Ehttps:\/\/doi.org\/10.1007\/s10578-023-01627-5\u003C\/a\u003E\u003C\/p\u003E\r\n\u003C\/p\u003E\u003Cul class=\u0022tag-wrapper\u0022\u003E\u003Cli class=\u0022pub-tag\u0022\u003EMeasurement-Based Care\u003C\/li\u003E\u003Cli class=\u0022pub-tag\u0022\u003ESuicidality\u003C\/li\u003E\u003C\/ul\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/doi.org\/10.1007\/s10578-023-01627-5\u0022 class=\u0022p-read-more\u0022 target=\u0022_blank\u0022\u003ERead More\u003C\/a\u003E\u003C\/p\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/li\u003E\u003Cli\u003E\u003Cdiv class=\u0022item\u0022\u003E\u003Cp class=\u0022item-text pub-content\u0022\u003E\u003Cspan\u003EMeasurement-Based Care for Depression in Youth: Practical Considerations for Selecting Measures to Assess Depression, Associated Features and Functioning\u003C\/span\u003E\u003C\/p\u003E\u003Cdiv class=\u0022item-content\u0022\u003EDespite the growing understanding of youth depression, there remains a need for a more precise diagnosis and more effective symptom management. In this article, the authors argue for the use of a variety of research-backed measurements and rating scales to assess depression. The use of these scales produces a more reliable diagnosis and allows healthcare providers to objectively track treatment progress. In addition to measuring depressive symptoms, rating scales can be used to assess related mental health features (e.g. anxiety) and other important outcomes (e.g. quality of life). For some families, completing a depression measure is the first time they hear language that describes their symptoms. This aids in the recognition of at-risk individuals and helps overcome stigma by normalizing discussion of mental health, ultimately leading to more equitable mental health care.\u003Cp\u003E\u003Cp\u003EGarza, C., Chapa, D., Hernandez, C., Aramburu, H., Mayes, T. L., \u0026amp; Emslie, G. J. (2024). Measurement-based care for depression in youth: Practical considerations for selecting measures to assess depression, associated features and functioning. \u003Cem\u003EChild Psychiatry \u0026amp; Human Development.\u003C\/em\u003E \u003Ca href=\u0022https:\/\/doi.org\/10.1007\/s10578-023-01652-4\u0022 target=\u0022_blank\u0022\u003Ehttps:\/\/doi.org\/10.1007\/s10578-023-01652-4\u003C\/a\u003E\u003C\/p\u003E\r\n\u003C\/p\u003E\u003Cul class=\u0022tag-wrapper\u0022\u003E\u003Cli class=\u0022pub-tag\u0022\u003EMeasurement-Based Care\u003C\/li\u003E\u003Cli class=\u0022pub-tag\u0022\u003EDepression\u003C\/li\u003E\u003C\/ul\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/doi.org\/10.1007\/s10578-023-01652-4\u0022 class=\u0022p-read-more\u0022 target=\u0022_blank\u0022\u003ERead More\u003C\/a\u003E\u003C\/p\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/li\u003E\u003Cli\u003E\u003Cdiv class=\u0022item\u0022\u003E\u003Cp class=\u0022item-text pub-content\u0022\u003E\u003Cspan\u003EObsessive-Compulsive Disorder in Youth and Young Adults with Depression: Clinical Characteristics of Comorbid Presentations\u003C\/span\u003E\u003C\/p\u003E\u003Cdiv class=\u0022item-content\u0022\u003EDepressive disorders have high comorbidity with other psychiatric diagnoses. And while much is known about co-occurrences of depression and anxiety, the relationship between depression and obsessive-compulsive disorder (OCD) is not well-explored, despite depression being common in those with OCD. This study investigates the differences in symptoms between depressed youth with no comorbidities, depressed youth with anxiety, and depressed youth with OCD. Depressed youth with comorbid anxiety or OCD had higher depression severity, irritability, and insomnia. Similarly, those with comorbid OCD or anxiety had lower physical functioning, resilience, and greater difficulty in school. Further research is needed on the unique challenges presented by the comorbidity of OCD and depression.\u003Cp\u003E\u003Cp\u003ERiddle, D. B., Guzick, A., Minhajuddin, A., Sm\u00e1rason, O., Armstrong, G. M., Slater, H., Mayes, T. L., Goodman, L. C., Baughn, D. L., Martin, S. L., Wakefield, S. M., Blader, J., Brown, R., Goodman, W. K., Trivedi, M. H., \u0026amp; Storch, E. A. (2023). Obsessive-compulsive disorder in youth and young adults with depression: Clinical characteristics of comorbid presentations. \u003Cem\u003EJournal of Obsessive-Compulsive and Related Disorders\u003C\/em\u003E, 100820. \u003Ca href=\u0022https:\/\/doi.org\/10.1016\/j.jocrd.2023.100820\u0022 target=\u0022_blank\u0022\u003Ehttps:\/\/doi.org\/10.1016\/j.jocrd.2023.100820\u0026nbsp;\u003C\/a\u003E\u003C\/p\u003E\r\n\u003C\/p\u003E\u003Cul class=\u0022tag-wrapper\u0022\u003E\u003Cli class=\u0022pub-tag\u0022\u003EObsessive Compulsive Disorder\u003C\/li\u003E\u003Cli class=\u0022pub-tag\u0022\u003EDepression\u003C\/li\u003E\u003Cli class=\u0022pub-tag\u0022\u003EAnxiety\u003C\/li\u003E\u003C\/ul\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/doi.org\/10.1016\/j.jocrd.2023.100820\u0022 class=\u0022p-read-more\u0022 target=\u0022_blank\u0022\u003ERead More\u003C\/a\u003E\u003C\/p\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/li\u003E\u003Cli\u003E\u003Cdiv class=\u0022item\u0022\u003E\u003Cp class=\u0022item-text pub-content\u0022\u003E\u003Cspan\u003EPsychometric Evaluation of the 9-item Concise Health Risk Tracking \u2013 Self-Report (CHRT-SR9) (a Measure of Suicidal Risk) in Adolescent Psychiatric Outpatients in the Texas Youth Depression and Suicide Research Network (TX-YDSRN)\u003C\/span\u003E\u003C\/p\u003E\u003Cdiv class=\u0022item-content\u0022\u003EWith the number of adolescent suicides rising at an alarming rate over the last decade, there is a stark need for reliable and easily used screening tools. This study analyzes the properties of the 9-item Concise Health Risk Tracking - Self-Report (CHRT-SR9), a suicidality scale derived from its well-established 16-item predecessor the CHRT-SR16. When compared to CHRT-SR16 and item 9 of the PHQ-A (a commonly used screening question for suicidal thoughts), the CHRT-SR9 is a valid and reliable scale for measuring suicidal tendencies and, importantly, is sensitive to changes over time. All main elements that are represented in the CHRT-SR16 that contribute to the increased risk of suicide (pessimism, helplessness, despair, etc.) are still accounted for despite the shorter format of the CHRT-SR9. The CHRT-SR9 is an efficient and user-friendly tool that could be used for depression screening in various clinical settings.\u003Cp\u003E\u003Cp\u003ENandy, K., Rush, A.J., Slater, H., Mayes, T.L., Minhajuddin, A., Jha, M., Blader, J.C., Brown, R., Emslie, G., Fuselier, M.N., Garza, C., Gushanas, K., Kennard, B., Storch, E.A., Wakefield, S.M., \u0026amp; Trivedi, M.H. (2023). Psychometric evaluation of the 9-item Concise Health Risk Tracking - Self-Report (CHRT-SR9) (a measure of suicidal risk) in adolescent psychiatric outpatients in the Texas Youth Depression and Suicide Research Network (TX-YDSRN). \u003Cem\u003EJournal of Affective Disorders\u003C\/em\u003E, \u003Cem\u003E329\u003C\/em\u003E, 548\u2013556. \u003Ca href=\u0022https:\/\/doi.org\/10.1016\/j.jad.2023.02.018\u0022 target=\u0022_blank\u0022\u003Ehttps:\/\/doi.org\/10.1016\/j.jad.2023.02.018\u003C\/a\u003E\u003C\/p\u003E\r\n\u003C\/p\u003E\u003Cul class=\u0022tag-wrapper\u0022\u003E\u003Cli class=\u0022pub-tag\u0022\u003EMeasurement-Based Care\u003C\/li\u003E\u003Cli class=\u0022pub-tag\u0022\u003EDepression\u003C\/li\u003E\u003Cli class=\u0022pub-tag\u0022\u003ESuicidality\u003C\/li\u003E\u003C\/ul\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/doi.org\/10.1016\/j.jad.2023.02.018\u0022 class=\u0022p-read-more\u0022 target=\u0022_blank\u0022\u003ERead More\u003C\/a\u003E\u003C\/p\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/li\u003E\u003Cli\u003E\u003Cdiv class=\u0022item\u0022\u003E\u003Cp class=\u0022item-text pub-content\u0022\u003E\u003Cspan\u003EPsychometric Properties of Concise Associated Symptom Tracking (CAST) Scale in Youths and Young Adults: Findings from the Texas Youth Depression and Suicide Research Network (TX-YDSRN)\u003C\/span\u003E\u003C\/p\u003E\u003Cdiv class=\u0022item-content\u0022\u003EThe Concise Associated Symptom Tracking (CAST) is a 16-item scale that was developed over a decade ago to measure changes in depression-associated symptoms of irritability, anxiety, mania, panic, and insomnia. Despite being validated in adults, this study is the first attempt to assess its utility in youth and young adult populations. Confirmatory factor analysis supported a scale with 12 items in this population, dropping the mania items from the scale. Correlations to symptom-specific items on other validated instruments such as the PHQ-A, GAD-7, IDS-SR, CHRT, PROMIS, and SCARED showed the CAST-12 to be a valid scale for measuring these symptoms in those aged 8-20 years. Given that these symptoms may be associated with depression treatment outcomes, it is crucial to measure them throughout the treatment process, and the CAST-12 is one such tool for doing so.\u003Cp\u003E\u003Cp\u003EJha, M.K., Minhajuddin, A., Slater, H., Mayes, T.L., Blader, J.C., Brown, R., Garza, C., Kennard, B.D., Riddle, D., Storch, E.A., Shotwell, J., Soutullo, C.A., Wakefield, S.M., \u0026amp; Trivedi, M.H. (2023). Psychometric properties of Concise Associated Symptom Tracking (CAST) scale in youths and young adults: Findings from the Texas youth depression and suicide research network (TX-YDSRN). J\u003Ci\u003Eournal of Psychiatric Research\u003C\/i\u003E, \u003Ci\u003E161\u003C\/i\u003E, 179\u2013187.\u0026nbsp;\u003Ca href=\u0022https:\/\/doi.org\/10.1016\/j.jpsychires.2023.03.020\u0022 target=\u0022_blank\u0022\u003Ehttps:\/\/doi.org\/10.1016\/j.jpsychires.2023.03.020\u003C\/a\u003E\u003C\/p\u003E\r\n\u003C\/p\u003E\u003Cul class=\u0022tag-wrapper\u0022\u003E\u003Cli class=\u0022pub-tag\u0022\u003EDepression\u003C\/li\u003E\u003Cli class=\u0022pub-tag\u0022\u003EAnxiety\u003C\/li\u003E\u003Cli class=\u0022pub-tag\u0022\u003EMeasurement-Based Care\u003C\/li\u003E\u003C\/ul\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/doi.org\/10.1016\/j.jpsychires.2023.03.020\u0022 class=\u0022p-read-more\u0022 target=\u0022_blank\u0022\u003ERead More\u003C\/a\u003E\u003C\/p\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/li\u003E\u003Cli\u003E\u003Cdiv class=\u0022item\u0022\u003E\u003Cp class=\u0022item-text pub-content\u0022\u003E\u003Cspan\u003EPsychometric Properties of the GAD-7 and PROMIS-Anxiety-4a Among Youth with Depression and Suicidality: Results from the Texas Youth Depression and Suicide Research Network\u003C\/span\u003E\u003C\/p\u003E\u003Cdiv class=\u0022item-content\u0022\u003EAnxiety disorders are the most common psychiatric comorbidity in youth with depression, with clinically significant anxiety occurring in half of all depressed youth. This combination is usually associated with more severe symptoms creating a need for clinically sound tools for measuring anxiety. This study assessed two such tools: Generalized Anxiety Disorder 7-item Scale (GAD-7) and the Patient-Reported Outcomes Measurement Information System (PROMIS)-Anxiety-4a. While both of these scales have been tested in adults and showed promise in adolescent populations, they have been minimally tested in large clinical samples and have not been studied specifically within depressed and\/or suicidal youth. Statistical analyses showed that both the GAD-7 and PROMIS-Anxiety-4a had high internal consistency and good test-retest reliability. Additionally, when compared to other well-established measures of anxiety, they showed appropriate convergent and divergent validity. These findings indicate that either of these brief, freely available scales can be used to screen and monitor treatment response in research and clinical settings while working with depressed and suicidal youth.\u003Cp\u003E\u003Cp\u003EGuzick, A., Storch, E. A., Sm\u00e1rason, O., Minhajuddin, A., Drummond, K., Riddle, D., Hettema, J. M., Mayes, T. L., Pitts, S., Dodd, C., \u0026amp; Trivedi, M. H. (2024). Psychometric Properties of the gad-7 and promis-anxiety-4a among youth with depression and suicidality: Results from the Texas Youth Depression and Suicide Research Network. \u003Ci\u003EJournal of Psychiatric Research\u003C\/i\u003E, \u003Ci\u003E170\u003C\/i\u003E, 237\u2013244. \u003Ca href=\u0022https:\/\/doi.org\/10.1016\/j.jpsychires.2023.12.033\u0022 target=\u0022_blank\u0022\u003Ehttps:\/\/doi.org\/10.1016\/j.jpsychires.2023.12.033\u003C\/a\u003E\u003C\/p\u003E\r\n\u003C\/p\u003E\u003Cul class=\u0022tag-wrapper\u0022\u003E\u003Cli class=\u0022pub-tag\u0022\u003EMeasurement-Based Care\u003C\/li\u003E\u003Cli class=\u0022pub-tag\u0022\u003EAnxiety\u003C\/li\u003E\u003C\/ul\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/doi.org\/10.1016\/j.jpsychires.2023.12.033\u0022 class=\u0022p-read-more\u0022 target=\u0022_blank\u0022\u003ERead More\u003C\/a\u003E\u003C\/p\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/li\u003E\u003Cli\u003E\u003Cdiv class=\u0022item\u0022\u003E\u003Cp class=\u0022item-text pub-content\u0022\u003E\u003Cspan\u003EShifting From Best Practice to Standard Practice: Implementing Measurement-Based Care in Health Systems\u003C\/span\u003E\u003C\/p\u003E\u003Cdiv class=\u0022item-content\u0022\u003EThere is a large unmet need for mental healthcare in the United States, where depression is one of the most common psychiatric illnesses. Measurement-based care (MBC) is a strategy that can be implemented in primary care settings to improve patient outcomes over care as usual, and MBC can be applied toward the detection and tracking of depression symptoms. The two components of MBC are 1) the repeated, systematic measurement of symptoms for screening and monitoring and 2) using those measurements to guide treatment. This paper provides an overview of MBC and details the benefits and barriers to implementation in the context of depression treatment. Making MBC standard practice can lead to earlier detection and intervention, increase access to care, and help decrease high rates of untreated depression.\u003Cp\u003E\u003Cp\u003EDeane, A. E., Elmore, J. S., Mayes, T. L., Robinson, S., AlZubi, Y., Wakefield, S. M., \u0026amp; Trivedi, M. H. (2024). Shifting from best practice to standard practice: Implementing measurement-based care in Health Systems. \u003Cem\u003EChild Psychiatry \u0026amp; Human Development\u003C\/em\u003E. \u003Ca href=\u0022https:\/\/doi.org\/10.1007\/s10578-024-01715-0\u0022 target=\u0022_blank\u0022\u003Ehttps:\/\/doi.org\/10.1007\/s10578-024-01715-0\u003C\/a\u003E\u003C\/p\u003E\r\n\u003C\/p\u003E\u003Cul class=\u0022tag-wrapper\u0022\u003E\u003Cli class=\u0022pub-tag\u0022\u003EMeasurement-Based Care\u003C\/li\u003E\u003C\/ul\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/doi.org\/10.1007\/s10578-024-01715-0\u0022 class=\u0022p-read-more\u0022 target=\u0022_blank\u0022\u003ERead More\u003C\/a\u003E\u003C\/p\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/li\u003E\u003Cli\u003E\u003Cdiv class=\u0022item\u0022\u003E\u003Cp class=\u0022item-text pub-content\u0022\u003E\u003Cspan\u003ESuicidal Thoughts and Behaviors in Youth Seeking Mental Health Treatment in Texas: Youth Depression and Suicide Research Network Research Registry\u003C\/span\u003E\u003C\/p\u003E\u003Cdiv class=\u0022item-content\u0022\u003EYouth suicidality is a public health crisis. The Texas Youth Depression and Suicide Research Network (TX-YDSRN) was established to, among other things, assess the prevalence and severity of youth Suicidality in the state of Texas. This report characterizes the baseline prevalence and correlates of suicidal ideation and suicide attempts within the TX-YDSRN sample. Nearly 90% of the sample reported suicidal ideation, and nearly half (48.2%) had at least one lifetime suicide attempt. Youth with ideation or attempts were more depressed and anxious and were less resilient than non-suicidal youth. Additionally, they experienced more traumatic events, were more likely to use recreational drugs, participated in fewer social activities, and displayed poorer peer relationships and school adjustment than their non-attempting counterparts. This report should allow researchers to better understand the relationship of suicidality with a variety of behavioral and physical health outcomes in Texas youth. \u003Cp\u003E\u003Cp\u003EKennard, B. D., Hughes, J. L., Minhajuddin, A., Slater, H., Blader, J. C., Mayes, T. L., Kirk, C., Wakefield, S. M., \u0026amp; Trivedi, M. H. (2023). Suicidal thoughts and behaviors in youth seeking mental health treatment in Texas: Youth Depression and Suicide Network research registry. \u003Cem\u003ESuicide and Life-Threatening Behavior, 00\u003C\/em\u003E, 1\u201316. \u003Ca href=\u0022https:\/\/doi.org\/10.1111\/sltb.12980\u0022 target=\u0022_blank\u0022\u003Ehttps:\/\/doi.org\/10.1111\/sltb.12980\u003C\/a\u003E\u003C\/p\u003E\r\n\u003C\/p\u003E\u003Cul class=\u0022tag-wrapper\u0022\u003E\u003Cli class=\u0022pub-tag\u0022\u003ESuicidality\u003C\/li\u003E\u003C\/ul\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/doi.org\/10.1111\/sltb.12980\u0022 class=\u0022p-read-more\u0022 target=\u0022_blank\u0022\u003ERead More\u003C\/a\u003E\u003C\/p\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/li\u003E\u003Cli\u003E\u003Cdiv class=\u0022item\u0022\u003E\u003Cp class=\u0022item-text pub-content\u0022\u003E\u003Cspan\u003ESuicide Risk Assessment and Suicide Risk Management Protocol for the Texas Youth Depression and Suicide Research Network\u003C\/span\u003E\u003C\/p\u003E\u003Cdiv class=\u0022item-content\u0022\u003ESuicide risk management protocols (SRMPs) are necessary for clinical research on subjects at risk for suicide, but few studies explicitly describe the steps taken to mitigate those risks and whether they have proven effective. In addition to that, there were previously no detailed published SRMPs for use with child and adolescent populations. This paper addresses this gap in the literature by detailing the process of arriving at the TX-YDSRN SRMP and describing the various tools used for data collection. The authors emphasize the importance of extensive training of clinical personnel, collaboration across care providers and institutions, and the dissemination of public suicide prevention resources to participants endorsing suicidal thoughts.  Protocol documents were included in the publication.\u003Cp\u003E\u003Cp\u003EHughes, J. L., Trombello, J. M., Kennard, B. D., Slater, H., Rezaeizadeh, A., Claassen, C., Wakefield, S. M., \u0026amp; Trivedi, M. H. (2023). Suicide risk assessment and suicide risk management protocol for the Texas youth depression and suicide research network. \u003Ci\u003EContemporary Clinical Trials Communications\u003C\/i\u003E, \u003Ci\u003E33\u003C\/i\u003E, 101151. \u003Ca href=\u0022https:\/\/doi.org\/10.1016\/j.conctc.2023.101151\u0022 target=\u0022_blank\u0022\u003Ehttps:\/\/doi.org\/10.1016\/j.conctc.2023.101151\u003C\/a\u003E\u003C\/p\u003E\r\n\u003C\/p\u003E\u003Cul class=\u0022tag-wrapper\u0022\u003E\u003Cli class=\u0022pub-tag\u0022\u003ESuicidality\u003C\/li\u003E\u003Cli class=\u0022pub-tag\u0022\u003EMeasurement-Based Care\u003C\/li\u003E\u003C\/ul\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/doi.org\/10.1016\/j.conctc.2023.101151%20\u0022 class=\u0022p-read-more\u0022 target=\u0022_blank\u0022\u003ERead More\u003C\/a\u003E\u003C\/p\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/li\u003E\u003Cli\u003E\u003Cdiv class=\u0022item\u0022\u003E\u003Cp class=\u0022item-text pub-content\u0022\u003E\u003Cspan\u003ETexas Youth Depression and Suicide Network (TX-YDSRN) Research Registry and Learning Healthcare System: Rationale, Design, and Baseline Characteristics\u003C\/span\u003E\u003C\/p\u003E\u003Cdiv class=\u0022item-content\u0022\u003EFunded by the Texas State Legislature as a part of the Texas Child Mental Health Care Consortium, TX-YDSRN was created to gain a deeper understanding of depression and suicidality in Texas youth. This article summarizes the purpose of TX-YDSRN, details its start-up procedures, and describes the baseline data collected from the first 1000 participants. By leveraging the 12 major health-related academic institutions across Texas, TX-YDSRN recruited an ethnically and racially diverse pool of participants between 8 and 20 years of age. After initial screening, qualified participants completed a baseline appointment, a 1-month follow-up, and 12 bi-monthly follow-ups that included self-report measures and clinician clinician-guided assessments. Most (79.7%) of the participants had a primary diagnosis of depression, while 7.6% had bipolar disorder, 4.6% had suicidality or suicide behavior disorder, and 5.2% had primary anxiety, OCD, or PTSD. Just under half of all participants reported having at least one suicide attempt in their lifetime. The next steps for the TX-YDSRN project are also discussed. The collected data will help to create a valuable body of knowledge that will be used to create screening tools and treatment protocols that address persistent mental health concerns of Texas youth.\u003Cp\u003E\u003Cp\u003ETrivedi, M. H., Minhajuddin, A., Slater, H., Baronia, R., Blader, J., Blood, J., Brown, R., Claassen, C., DeFilippis, M., Farmer, D., Garza, C., Hughes, J., Kennard, B. D., Liberzon, I., Martin, S., Mayes, T. L., Soares, J. C., Soutullo, C. A., Storch, E. A., \u0026amp; Wakefield, S. M. (2023). Texas youth depression and suicide network (TX-YDSRN) research registry and learning healthcare network: Rationale, design, and baseline characteristics. \u003Cem\u003EJournal of Affective Disorders, 340\u003C\/em\u003E, 88-99. \u003Ca href=\u0022https:\/\/doi.org\/10.1016\/j.jad.2023.07.035\u0022 target=\u0022_blank\u0022\u003Ehttps:\/\/doi.org\/10.1016\/j.jad.2023.07.035\u003C\/a\u003E\u003C\/p\u003E\r\n\u003C\/p\u003E\u003Cul class=\u0022tag-wrapper\u0022\u003E\u003Cli class=\u0022pub-tag\u0022\u003EDepression\u003C\/li\u003E\u003Cli class=\u0022pub-tag\u0022\u003ESuicidality\u003C\/li\u003E\u003C\/ul\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/doi.org\/10.1016\/j.jad.2023.07.035\u0022 class=\u0022p-read-more\u0022 target=\u0022_blank\u0022\u003ERead More\u003C\/a\u003E\u003C\/p\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/li\u003E\u003Cli\u003E\u003Cdiv class=\u0022item\u0022\u003E\u003Cp class=\u0022item-text pub-content\u0022\u003E\u003Cspan\u003EThe Clinical Presentation of Major Depressive Disorder in Youth with Co-Occurring Obsessive-Compulsive Disorder\u003C\/span\u003E\u003C\/p\u003E\u003Cdiv class=\u0022item-content\u0022\u003EYouth with obsessive-compulsive disorder (OCD) often also struggle with comorbid major depressive disorder (MDD), however, it is unclear if the OCD symptoms impact the intensity of their depression. In this study, the depression severity of participants (measured by PHQ-A) with comorbid OCD and MDD was compared to those with MDD but no OCD. The statistical analyses revealed that the youth with a combination of MDD and OCD had more severe MDD and more of them dealt with moderate to severe depression (75%) compared to their MDD-only counterparts (61%). Additionally, those with comorbid OCD also reported lower levels of anhedonia (loss of pleasure from things one used to enjoy) and more severe psychomotor issues. These findings point to the unique combination of symptoms in youth with comorbid mental health disorders, stressing the importance of accounting for these comorbidities when approaching symptom monitoring and treatment.\u003Cp\u003E\u003Cp\u003EStrouphauer, E., Valenzuela-Flores, C., Minhajuddin, A., Slater, H., Riddle, D. B., Pinciotti, C. M., Guzick, A. G., Hettema, J. M., Tonarelli, S., Soutullo, C. A., Elmore, J. S., Gushanas, K., Wakefield, S., Goodman, W. K., Trivedi, M. H., Storch, E. A., \u0026amp; Cervin, M. (2024). The clinical presentation of major depressive disorder in youth with co-occurring obsessive-compulsive disorder. \u003Cem\u003EJournal of Affective Disorders\u003C\/em\u003E, \u003Cem\u003E349\u003C\/em\u003E, 349\u2013357. \u003Ca href=\u0022https:\/\/doi.org\/10.1016\/j.jad.2024.01.070\u0022\u003Ehttps:\/\/doi.org\/10.1016\/j.jad.2024.01.070\u003C\/a\u003E\u003C\/p\u003E\r\n\u003C\/p\u003E\u003Cul class=\u0022tag-wrapper\u0022\u003E\u003Cli class=\u0022pub-tag\u0022\u003EDepression\u003C\/li\u003E\u003Cli class=\u0022pub-tag\u0022\u003EObsessive Compulsive Disorder\u003C\/li\u003E\u003C\/ul\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/doi.org\/10.1016\/j.jad.2024.01.070\u0022 class=\u0022p-read-more\u0022 target=\u0022_blank\u0022\u003ERead More\u003C\/a\u003E\u003C\/p\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/li\u003E\u003Cli\u003E\u003Cdiv class=\u0022item\u0022\u003E\u003Cp class=\u0022item-text pub-content\u0022\u003E\u003Cspan\u003EThe Texas Child Mental Health Network: A Child and Adolescent Research Registry\u003C\/span\u003E\u003C\/p\u003E\u003Cdiv class=\u0022item-content\u0022\u003EHighlighting the need to tackle ongoing mental health issues faced by Texas youth, this report presents a descriptive overview of the framework established by the Texas Child Mental Health Care Consortium (TCMHCC), including TX-YDSRN. The consortium has emphasized the use of a \u201clearning healthcare system,\u201d which promotes implementation of measurement-based care, a critical goal of TX-YDSRN. This paper presents the operational framework of TX-YDSRN alongside current status of registry enrollment, sample features, and network achievements to increase visibility and understanding of TX-YDSRN and the broader TCMHCC.\u003Cp\u003E\u003Cp\u003ETamminga, C. A., Trivedi, M. H., Wagner, K. D., Wakefield, S., Newport, D. J., Norcross, J., Lakey, D. L., \u0026amp; Nemeroff, C. B. (2024). The Texas child mental health network: A child and adolescent research registry.\u0026nbsp;\u003Cem\u003EPersonalized Medicine in Psychiatry, 45,\u0026nbsp;\u003C\/em\u003E100124. \u003Ca href=\u0022https:\/\/doi.org\/10.1016\/j.pmip.2024.100124\u0022 target=\u0022_blank\u0022\u003Ehttps:\/\/doi.org\/10.1016\/j.pmip.2024.100124\u003C\/a\u003E\u003C\/p\u003E\r\n\u003C\/p\u003E\u003Cul class=\u0022tag-wrapper\u0022\u003E\u003Cli class=\u0022pub-tag\u0022\u003EDepression\u003C\/li\u003E\u003Cli class=\u0022pub-tag\u0022\u003ESuicidality\u003C\/li\u003E\u003Cli class=\u0022pub-tag\u0022\u003ETrauma\u003C\/li\u003E\u003Cli class=\u0022pub-tag\u0022\u003EMeasurement-Based Care\u003C\/li\u003E\u003C\/ul\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/doi.org\/10.1016\/j.pmip.2024.100124\u0022 class=\u0022p-read-more\u0022 target=\u0022_blank\u0022\u003ERead More\u003C\/a\u003E\u003C\/p\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/li\u003E\u003C\/ul\u003E","settings":null}]