Integration of Measurement-Based Care for Youth Depression and Suicidality Using VitalSign.

Depression and suicidality are prevalent in youth and are associated with a range of negative outcomes. The current study aimed to evaluate a measurement-based care (MBC) software (VitalSign) tool to improve the screening and treatment of depression and suicidality in youth aged 8–17 years within a...

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Publicado en:Child Psychiatry & Human Development Vol. 56; no. 5; pp. 1206 - 1214
Autores principales: Mitchell, Tarrah B., Wakefield, Sarah M., Rezaeizadeh, Afsaneh, Minhajuddin, Abu, Pipes, Ronny, Mayes, Taryn L., Elmore, Joshua S., Trivedi, Madhukar H.
Formato: Artículo
Publicado: Springer Nature Oct2025
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Acceso en línea:Ver este registro en EBSCOhost
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      dt: Oct2025
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        atl: Integration of Measurement-Based Care for Youth Depression and Suicidality Using VitalSign.
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        au:
          Mitchell, Tarrah B.
          Wakefield, Sarah M.
          Rezaeizadeh, Afsaneh
          Minhajuddin, Abu
          Pipes, Ronny
          Mayes, Taryn L.
          Elmore, Joshua S.
          Trivedi, Madhukar H.
        affil:
          https://ror.org/033ztpr93 Department of Psychiatry, Texas Tech University Health Sciences Center, Lubbock, TX, USA
          https://ror.org/05byvp690 Center for Depression Research and Clinical Care, Peter O'Donnell Jr. Brain Institute, Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
          https://ror.org/05byvp690 Peter O'Donnell Jr. School of Public Health, University of Texas Southwestern Medical Center, Dallas, TX, USA
      su:
        Mental depression
        Suicidal ideation
        Medical screening
        Therapeutics
        Teenagers
        Disease remission
        Evidence-based medicine
      sug:
        subj:
          Mental depression
          Suicidal ideation
          Medical screening
          Therapeutics
          Teenagers
          All Other Miscellaneous Ambulatory Health Care Services
          Disease remission
          Evidence-based medicine
      keyword:
        Adolescent
        Child
        Depression
        Measurement-based care
        Medical and Health Sciences Public Health and Health Services
        Suicide
        Adolescent
        Child
        Depression
        Measurement-based care
        Medical and Health Sciences Public Health and Health Services
        Suicide
      ab: Depression and suicidality are prevalent in youth and are associated with a range of negative outcomes. The current study aimed to evaluate a measurement-based care (MBC) software (VitalSign) tool to improve the screening and treatment of depression and suicidality in youth aged 8–17 years within a rural, underserved population. To assess for depression and suicidality, the Patient Health Questionnaire-2 was administered as an initial screen, and the Patient Health Questionnaire-9 Modified for Adolescents (PHQ-9-A) was administered if the initial screen was positive. Data were collected at medical clinics over one year, and descriptive statistics and t-tests or Wilcoxon-Mann-Whitney tests were conducted. A total of 1,984 youth were initially screened (mean age of 13 years; 51.6% female); 24.2% screened positive for depression, and 14.9% endorsed suicidality. Of those who screened positive, the mean PHQ-9-A score was 12.8; 66.9% had PHQ-9-A scores in the moderate to severe range, and 44.2% endorsed suicidality. Almost half of the youth who screened positive for depression had at least one follow-up assessment, and about one quarter achieved remission 4 months after initial screening. Adolescents (12–17 years) had higher PHQ-9-A scores, higher suicidality, and more follow-up assessments than younger youth (8–11 years). Younger youth had higher rates of remission. The widespread use of MBC was feasible in this setting. It is important to utilize MBC to identify and treat youth with depression and suicidality and to do so in younger populations to improve their trajectory over time; VitalSign is one tool to help achieve these goals.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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