[{"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\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\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\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\u003C\/ul\u003E","settings":null}]