Article Figures & Data
Tables
Characteristic Data Age, mean (SD), y 40.4 (19.6) Sex, No. (%) Male 1,380 (51.3) Female 1,279 (47.5) Other 9 (0.3) Prefer not to answer 17 (0.6) Missing 59 (2.2) Race, No. (%)a American Indian or Alaska Native 123 (4.6) Asian 115 (4.3) Black or African American 506 (18.8) Pacific Islander or Native Hawaiian 44 (1.6) White 1,811 (67.3) Other 272 (10.1) Hispanic or Latino ethnicity, No. (%) Yes 415 (15.4) No 2,199 (81.7) Other 20 (0.7) Prefer not to answer 51 (1.9) Missing 59 (2.2) Military service, No. (%) Yes, current member 1,652 (61.4) Yes, in the past 451 (16.8) No 580 (21.6) Missing 61 (2.1) Branch of service, No. (%)b Air Force 236 (11.2) Army 408 (19.4) Coast Guard 3 (0.1) Marine Corps 283 (13.5) Navy 1,171 (55.7) - Table 2.
Performance of Suicide Risk Screening Methods as Indicators of Suicidal Behavior Among Primary Care Patients
Screening resultsa TP FP TN FN FP:TP Sens Spec PPV NPV 30 days postbaseline PHQ-2 positive 9 468 2104 4 52.0 0.692 0.818 0.019 0.998 PHQ-2 positive + PHQ-9 positive 7 170 2402 6 24.3 0.538 0.934 0.040 0.998 PHQ-2 positive + PHQ-9 positive + SCS item 8 positive 7 114 2458 6 16.3 0.538 0.956 0.058 0.998 PHQ-2 positive + PHQ-9 positive + SCS item 13 positive 7 92 2480 6 13.1 0.538 0.964 0.071 0.998 PHQ-2 positive + PHQ-9 positive + SCS item 16 positive 5 68 2504 8 13.6 0.385 0.974 0.068 0.997 90 days postbaseline PHQ-2 positive 16 461 2098 10 28.8 0.615 0.820 0.034 0.995 PHQ-2 positive + PHQ-9 positive 13 164 2395 13 12.6 0.500 0.936 0.073 0.995 PHQ-2 positive + PHQ-9 positive + SCS item 8 positive 13 108 2451 13 8.3 0.500 0.958 0.107 0.995 PHQ-2 positive + PHQ-9 positive + SCS item 13 positive 12 87 2471 15 7.3 0.444 0.966 0.121 0.994 PHQ-2 positive + PHQ-9 positive + SCS item 16 positive 10 63 2494 17 6.3 0.370 0.975 0.137 0.993 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
Supplemental appendix, tables 1-5
- Bryan.pdf -
Supplemental appendix; tables 1-5
- Bryan.pdf -
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.