Validating a Brief Jail Mental Health Screen: Final Technical Report

2004 ◽  
Author(s):  
Fred Osher ◽  
Jack E. Scott ◽  
Henry J. Steadman ◽  
Pamela Clark Robbins
2016 ◽  
Vol 29 (8) ◽  
pp. 849-872 ◽  
Author(s):  
Elizabeth P. Shulman ◽  
Jordan Bechtold ◽  
Erin L. Kelly ◽  
Elizabeth Cauffman

Allocating limited mental health resources is a challenge for juvenile justice facilities. We evaluated the clinical utility of the Massachusetts Youth Screening Instrument, Version 2 (MAYSI-2)—an instrument designed to aid in this process—in three subsamples of justice-involved youth (ages 14-17): detained girls ( n = 69), detained boys ( n = 130), and incarcerated boys ( n = 373). For perspective, we compared its performance (in the incarcerated subsample) to that of the Youth Self-Report (YSR), a more widely-used screen. The MAYSI-2 subscales were moderately useful for detecting relevant diagnoses, and differences were observed across samples. However, as a general mental health screen, the MAYSI-2 performed well (and comparably to the YSR), correctly classifying 66% to 75% of youth. When used to differentiate youth with any and without any disorder, both instruments were effective. Given the MAYSI-2’s practical advantages over the YSR (lower cost, easier administration), it may be a better option for juvenile facilities.


2005 ◽  
Vol 56 (7) ◽  
pp. 816-822 ◽  
Author(s):  
Henry J. Steadman ◽  
Jack E. Scott ◽  
Fred Osher ◽  
Tara K. Agnese ◽  
Pamela Clark Robbins

2020 ◽  
Vol 35 (1) ◽  
Author(s):  
Edward Hebert ◽  
Brian Henry ◽  
Corinne Duplan ◽  
Millie Naquin ◽  
Ralph Wood

This study investigated relationships between academic success and aspects of health and illness in college students. College juniors and seniors completed a survey addressing ratings of health, measures of sleep, mental health, screen time, the frequency of illness-related absences and access of healthcare. Measures of academic performance (GPA and academic status) were gathered from university records. Significant relationships to academic performance were found for overall health, sleep, mental health, time accessing social media, and frequency of accessing healthcare and school due to illness. Collectively, health measures predicted 10% of the variance in GPA.


2005 ◽  
Vol 56 (10) ◽  
pp. 1316-1316
Author(s):  
Henry J. Steadman

2007 ◽  
Vol 58 (12) ◽  
pp. 1598-1601 ◽  
Author(s):  
Henry J. Steadman ◽  
Pamela Clark Robbins ◽  
Tariqul Islam ◽  
Fred C. Osher

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