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Related Concept Videos

Self-Report Tests of Personality01:22

Self-Report Tests of Personality

356
Self-report inventories are objective personality assessments that use multiple-choice items or numbered scales, typically ranging from 1 (strongly disagree) to 5 (strongly agree). They are often called Likert scales after Rensis Likert. These inventories are widely used due to their ease of administration and cost-effectiveness. One of the most prominent examples is the Minnesota Multiphasic Personality Inventory (MMPI), initially developed in the 1940s to assess abnormal personality traits.
356

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Development and Initial Performance of the Hospital Mental Health Risk Screen.

Eve B Carlson1,2, Patrick A Palmieri3, M Rose Barlow1

  • 1From the Dissemination and Training Division, National Center for Posttraumatic Stress Disorder (Carlson, Barlow, Macia), VA Palo Alto Health Care System, Department of Veterans Affairs, Menlo Park, CA.

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Summary
This summary is machine-generated.

A new 10-item screen accurately predicts mental health risks in diverse hospitalized patients, identifying 75% of those with symptoms. This tool can improve mental health equity and preventive care for individuals after emergency care.

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Area of Science:

  • Trauma care and mental health outcomes
  • Health equity in diverse populations
  • Predictive screening for mental health conditions

Background:

  • Hospitalized patients after emergency care face risks for depression, anxiety, and PTSD.
  • Trauma center verification standards mandate mental health risk screening for high-risk patients.
  • Existing screening tools may not adequately represent diverse US populations.

Purpose of the Study:

  • To develop and evaluate a novel mental health risk screen for hospitalized patients.
  • To ensure the screen performs well across diverse ethnic, racial, and socioeconomic groups.
  • To identify the most predictive risk factors for mental health symptoms in this population.

Main Methods:

  • A diverse sample of 1,320 patients admitted after emergency care was studied across three hospitals.
  • Risk factors during hospitalization and mental health symptoms at follow-up were assessed.
  • Analyses identified key risk factors and the minimal items needed for prediction, including subgroup analyses.

Main Results:

  • A 10-item screen accurately identified 75% of patients with elevated mental health symptoms and 71% without.
  • The screen demonstrated good to excellent performance across all studied ethnic and racial subgroups.
  • The developed screen effectively predicted mental health outcomes in a diverse patient cohort.

Conclusions:

  • The Hospital Mental Health Risk Screen shows high accuracy in predicting mental health outcomes overall and within diverse subgroups.
  • Replication in a new sample could lead to routine screening for patients hospitalized after emergency care.
  • Implementing this screen can enhance health equity and promote preventive mental health care research and practice.