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Research ArticleOriginal Research

Improving Suicide Risk Screening to Identify the Highest Risk Patients: Results From the PRImary Care Screening Methods (PRISM) Study

Craig J. Bryan, Michael H. Allen, Cynthia J. Thomsen, Alexis M. May, Justin C. Baker, AnnaBelle O. Bryan, Julia A. Harris, Craig A. Cunningham, Kara B. Taylor, Michelle D. Wine, Johnnie Young, Sean Williams, Kirsi White, Logan Smith, W. Cole Lawson, Timothy Hope, William Russell, Kent D. Hinkson, Tyler Cheney and Kimberly Arne
The Annals of Family Medicine November 2021, 19 (6) 492-498; DOI: https://doi.org/10.1370/afm.2729
Craig J. Bryan
Department of Psychiatry & Behavioral Health, The Ohio State University Wexner Medical Center, Columbus, Ohio
PsyD, ABPP
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  • For correspondence: craig.bryan@osumc.edu
Michael H. Allen
Department of Psychiatry & Behavioral Health, The Ohio State University Wexner Medical Center, Columbus, Ohio
MD
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Cynthia J. Thomsen
Department of Psychiatry & Behavioral Health, The Ohio State University Wexner Medical Center, Columbus, Ohio
PhD
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Alexis M. May
Department of Psychiatry & Behavioral Health, The Ohio State University Wexner Medical Center, Columbus, Ohio
PhD
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Justin C. Baker
Department of Psychiatry & Behavioral Health, The Ohio State University Wexner Medical Center, Columbus, Ohio
PhD
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AnnaBelle O. Bryan
Department of Psychiatry, University of Colorado Anschutz Medical Campus, Aurora, Colorado
MS
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Julia A. Harris
Naval Health Research Center, San Diego, California
MS
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Craig A. Cunningham
Department of Psychology, Wesleyan University, Middletown, Connecticut
PhD
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Kara B. Taylor
Department of Psychology, University of Utah, Salt Lake City, Utah
LCSW
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Michelle D. Wine
Department of Psychology, University of Utah, Salt Lake City, Utah
PsyD
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Johnnie Young
Department of Psychology, University of Utah, Salt Lake City, Utah
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Sean Williams
Department of Psychology, University of Utah, Salt Lake City, Utah
LCSW
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Kirsi White
Department of Psychology, University of Utah, Salt Lake City, Utah
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Logan Smith
Naval Medical Center Portsmouth, Portsmouth, Virginia
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W. Cole Lawson
Naval Medical Center Portsmouth, Portsmouth, Virginia
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Timothy Hope
US Air Force Academy, USAF Academy, Colorado
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William Russell
Fort Carson US Army Post, Fort Carson, Colorado
MSW
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Kent D. Hinkson
Department of Psychology, Oklahoma State University, Stillwater, Oklahoma
Jr, MS
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Tyler Cheney
Department of Veterans Affairs Rocky Mountain Mental Illness Research, Education, and Clinical Center (MIRECC), Aurora, Colorado
LCSW
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Kimberly Arne
Battle Creek Veteran Affairs Medical Center, Battle Creek, Michigan
LCSW
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Tables

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    Table 1.

    Participant Characteristics (N = 2,744)

    CharacteristicData
    Age, mean (SD), y40.4 (19.6)
    Sex, No. (%)
       Male1,380 (51.3)
       Female1,279 (47.5)
       Other9 (0.3)
       Prefer not to answer17 (0.6)
       Missing59 (2.2)
    Race, No. (%)a
       American Indian or Alaska Native123 (4.6)
       Asian115 (4.3)
       Black or African American506 (18.8)
       Pacific Islander or Native Hawaiian44 (1.6)
       White1,811 (67.3)
       Other272 (10.1)
    Hispanic or Latino ethnicity, No. (%)
       Yes415 (15.4)
       No2,199 (81.7)
       Other20 (0.7)
       Prefer not to answer51 (1.9)
       Missing59 (2.2)
    Military service, No. (%)
       Yes, current member1,652 (61.4)
       Yes, in the past451 (16.8)
       No580 (21.6)
       Missing61 (2.1)
    Branch of service, No. (%)b
       Air Force236 (11.2)
       Army408 (19.4)
       Coast Guard3 (0.1)
       Marine Corps283 (13.5)
       Navy1,171 (55.7)
    • ↵aNumber greater than total particpants due to responses with >1 choice.

    • ↵bNumber less than total particpants due to military dependants, eg, spouses.

    • View popup
    Table 2.

    Performance of Suicide Risk Screening Methods as Indicators of Suicidal Behavior Among Primary Care Patients

    Screening resultsaTPFPTNFNFP:TPSensSpecPPVNPV
    30 days postbaseline
       PHQ-2 positive94682104452.00.6920.8180.0190.998
       PHQ-2 positive + PHQ-9 positive71702402624.30.5380.9340.0400.998
       PHQ-2 positive + PHQ-9 positive + SCS item 8 positive71142458616.30.5380.9560.0580.998
       PHQ-2 positive + PHQ-9 positive + SCS item 13 positive7922480613.10.5380.9640.0710.998
       PHQ-2 positive + PHQ-9 positive + SCS item 16 positive5682504813.60.3850.9740.0680.997
    90 days postbaseline
       PHQ-2 positive1646120981028.80.6150.8200.0340.995
       PHQ-2 positive + PHQ-9 positive1316423951312.60.5000.9360.0730.995
       PHQ-2 positive + PHQ-9 positive + SCS item 8 positive131082451138.30.5000.9580.1070.995
       PHQ-2 positive + PHQ-9 positive + SCS item 13 positive12872471157.30.4440.9660.1210.994
       PHQ-2 positive + PHQ-9 positive + SCS item 16 positive10632494176.30.3700.9750.1370.993
    • FN = false negatives; FP = false positives; NPV = negative predictive value; PHQ-2 = 2-item patient health questionnaire; PHQ-9 = 9-item patient health questionnaire; PPV = positive predictive value; Sens = sensitivity; Spec = specificity; SCS = Suicide Cognitions Scale; TN = true negatives; TP = true positives.

    • ↵aA positive screen on the PHQ-2 corresponds to a total score of 3 or higher, a positive screen on the PHQ-9 corresponds to a score of 1 or higher on item 9, and a positive screen on SCS items 8, 13, and 16 corresponds to a score of 2 or higher on each item.

Additional Files

  • Tables
  • Supplemental appendix, tables 1-5

    • Bryan.pdf -

      Supplemental appendix; tables 1-5

  • In Brief

    Improving Suicide Risk Screening to Identify the Highest Risk Patients: Results From the PRImary Care Screening Methods (PRISM) Study

    Craig J. Bryan and colleagues
      

    Background Researchers from academia and the U.S. military sought to determine if suicide risk screening can be meaningfully improved to better identify highest-risk patients. Patients eligible to receive medical treatment from the U.S. Department of Defense medical system were recruited from six military primary care clinics in five military installations across the country.

    What This Study Found Adding one of three Suicide Cognitions Scale (SCS) items to the Patient Questionaarie (PHQ-9) self report measure during routine primary care clinical visits improved the accuracy of identifying those patients who were at the highest risk of suicidal behavior within a month of screening positive.

    Implications

    • One byproduct of augmenting the PHQ-9 is a potential reduction in unnecessary treatment and/or misallocated resources — a benefit to both patients and physicians, considering a majority of patients who screen positively on the PHQ-9 suicide risk item do not attempt or die by suicide.
         
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The Annals of Family Medicine: 19 (6)
The Annals of Family Medicine: 19 (6)
Vol. 19, Issue 6
1 Nov 2021
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Improving Suicide Risk Screening to Identify the Highest Risk Patients: Results From the PRImary Care Screening Methods (PRISM) Study
Craig J. Bryan, Michael H. Allen, Cynthia J. Thomsen, Alexis M. May, Justin C. Baker, AnnaBelle O. Bryan, Julia A. Harris, Craig A. Cunningham, Kara B. Taylor, Michelle D. Wine, Johnnie Young, Sean Williams, Kirsi White, Logan Smith, W. Cole Lawson, Timothy Hope, William Russell, Kent D. Hinkson, Tyler Cheney, Kimberly Arne
The Annals of Family Medicine Nov 2021, 19 (6) 492-498; DOI: 10.1370/afm.2729

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Improving Suicide Risk Screening to Identify the Highest Risk Patients: Results From the PRImary Care Screening Methods (PRISM) Study
Craig J. Bryan, Michael H. Allen, Cynthia J. Thomsen, Alexis M. May, Justin C. Baker, AnnaBelle O. Bryan, Julia A. Harris, Craig A. Cunningham, Kara B. Taylor, Michelle D. Wine, Johnnie Young, Sean Williams, Kirsi White, Logan Smith, W. Cole Lawson, Timothy Hope, William Russell, Kent D. Hinkson, Tyler Cheney, Kimberly Arne
The Annals of Family Medicine Nov 2021, 19 (6) 492-498; DOI: 10.1370/afm.2729
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