Psychological Screening of Submariners:



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Psychological Screening of Submariners: The Development & Validation of the Submarine Attrition Risk Scale (SARS) Presentation at IPMAAC by Dr. Mark N. Bing SUBSCREEN Principal Investigator co-author: CDR Eisenberg Naval Submarine Medical Research Laboratory Submarine Base New London IRB Approval NSMRL/ONR/BUMED

Relevant Facts on Navy-Wide Attrition W. Farmer & D. Alderton, NPRST Approximately 40% of Navy recruits fail to complete their first enlistment. Annual financial loss is in tens of millions of dollars (per GAO). Psychological disorders are the leading cause of hospitalization in first 2 years of service (Accession Medical Standards Analysis and Research Activity, 1999). For active duty personnel between 1990-1999, 23% of all hospital bed days involved a mental disorder diagnosis (Hoge et al., 2002, American Journal of Psychiatry, 159, 1576-1583). Largest category of recruit attrition is psychological.

Submarine Environment There are certain unique aspects to the working environment in a submarine.. No personal space whatsoever No escape from workplace conflicts No sunlight for long periods Disrupted sleep/wake cycles and sleep deprivation Concern for danger of excessive sea pressure Concern for danger from enemy targets Socially intense, physically-closed, and potentially dangerous working environment Conclusion The submarine environment demands psychological resilience to workplace stressors

Relevant Facts on Submarine Force Attrition Psychological dysfunction is an extremely large disqualifying category in the Submarine Force Misconduct is another very large category Substance abuse is also a large category 11 th Hour Attritions Manpower shortage These negative outcomes can be predicted using psychological screening, and thus some of them can be prevented

Prevention of Submariner Attrition Use the current psychological screening conducted on prospective submariners to identify those who are at risk for attrition Use the at risk information to improve motivational intervention decisions treatment decisions separation decisions

Mandate for Psychological Screening of Prospective Submariners Mandate comes from a requirement of MANMED Article 15-69 para 2(i): Because of the nature of the [submarine] duties, the psychological fitness of applicants for submarine training must be carefully appraised. NSMRL uses SUBSCREEN to meet this requirement SUBSCREEN is a standardized psychological screening tool used to identify prospective submariners with atypical mental health and motivational problems that interfere with adapting to the submarine environment

SUBSCREEN Test 240-item self-report questionnaire of environmental adaptability Current version developed in 1986 5 Major Dimensions Procedural Scales (Faking, Extreme Responding) Submarine Scales (Problems Submerging, Uncertain about Subs) Affective Scales (Depressed Mood, Anxiety) Socialization Scales (Aggressive-Destructive, Social Isolate) Additional Scales (Suicidal Thoughts, Claustrophobic Feelings) Database of 30,000 for norms of enlisted; 4,400 for officers

SUBSCREEN Process Every Week, Day 1of INDOC at BESS NSMRL administers SUBSCREEN NSMRL scores test & reports results for those needing referral Names & SUBSCREEN Profiles sent to Mental Health Clinic Names of those to be referred sent to BESS BESS schedules interviews with Mental Health Clinic Mental Health conducts a mental health status interview on the SUBSCREEN referral Mental Health sends recommendation outcomes to NSMRL & BESS Three final dispositions (i.e., recommendations) SAME Process for SOBC except testing occurs every 6 weeks

SUBSCREEN Mission The results from SUBSCREEN are used to inform clinical judgment of the professional interviewer at the Mental Health Clinic regarding three possible recommendations, not intended as a substitute for such judgment MENTAL HEALTH interviews those referred by SUBSCREEN w/ profile information in hand Referral list w/ SUBSCREEN profiles Final Disposition Answer sheets NSMRL scores the answer sheets & generates SUBSCREEN profiles NAVSUBSCOL (NSMRL administers SUBSCREEN) Referral list

Outcomes of the Current Screening & Referral System 10 of every 100 BESS students are referred by SUBSCREEN 7 are recommended for return to BESS 2 are recommended for ADSEP 1 is recommended for Surface Fleet Transfer Conclusion Current system removes approximately 3% of BESS students from the submarine training pipeline

Results of SUBSCREEN Referral System 100 90 80 60 40 20 0 Not Referred 10 Referred 7 Return to BESS SF Transfer 1 2 ADSEP Conclusion - Current system removes approximately 3% of BESS students from the submarine training pipeline

Ongoing Submarine Fleet Attrition Problems COMSUBPAC, 2001 37% of all waivers & disquals were psychological 14% of all MEDEVACS were psychologically-based COMSUBLANT, 2002, 10-month period 12% of all MEDEVACS were psychologically-based 3 of these events interrupted operations

New Direction to Improve Screening Effectiveness Identify those at risk for negative fleet attrition Quantify the level of risk Scientifically-based identifier Use the at risk information to improve motivational, training, placement, and separation decisions made at BESS prior to fleet entry

Development of Submarine Attrition Risk Scale (SARS) Built a database of several thousand successful and unsuccessful fleet submariners who had taken SUBSCREEN Successful LOS ranged from 4.25 to 22 years All reenlisted E4 to E9 (avg. rank E5) Unsuccessful Disqualified and separated for substance abuse, misconduct, and/or psychological dysfunction Avg. LOS 14 months (none reenlisted) Avg. Rank, E2 (none above E4) Discriminant analysis produced an optimal linear composite of SUBSCREEN subscales that accurately categorized these groups, and this linear composite was termed SARS

Test Performance Characteristics Hit Rate The percentage of all persons identified as at risk for attrition that eventually do attrite for negative cause False Positive Rate 1 - Hit Rate, or the percent of those incorrectly identified as at risk because they become successful submariners Sensitivity The percentage of all persons defined as unsuccessful submariners who were identified as at risk for attrition by the test

SARS: Performance Characteristics (Retrospective, Development Study) Our initial cut-point on the SARS (+.85 SD) resulted in... Hit Rate = 70%; if flagged by SARS the submariner had a 70% chance of early and negative separation from fleet Sensitivity = 20%; of all the negative fleet separations, SARS identified 20% of them as at risk for attrition, or 1 out of 5 Correlation between SARS (continuous) scores and attrition (i.e., successful vs. unsuccessful) was.25 (p <.001)

Cross-Validation of SARS with Legal Holds (Prospective Study) Obtained data on 47 BESS (negative) legal holds Calculated SARS performance characteristics in prediction of legal holds for cross-validation Sensitivity = 50%; for the entire group of legal holds, 1 in 2 was identified as at risk for attrition by the SARS Hit Rate = 89%; in comparison to a randomly selected group of successful submariners, those identified as at risk by the SARS had an 89% probability of becoming a BESS legal hold Correlation between SARS (continuous) scores and legal hold status was.50 (p <.001)

Cross-Validation of SARS with Masts (Prospective Study) Obtained data on 180 Mast (NJP) cases at BESS Calculated SARS performance characteristics in prediction of NJP Sensitivity = 32%; 1 in 3 of those who went to NJP was identified as at risk for attrition by SARS Hit Rate = 74%; in comparison to a randomly selected group of successful submariners, BESS students identified as at risk by the SARS had a 74% probability of going to Mast Hit Rate = 70%, in comparison to a randomly selected group of BESS students who DID NOT go to Mast, BESS students identified as at risk by the SARS had a 70% probability of going to Mast Correlation between SARS (continuous) scores and NJP was.35 (p <.001) when using successful submariners as the comparison sample

Cross-Validation of SARS with Psychologically-Based MEDEVACS (Prospective Study) Obtained data on 13 SUBLANT Psychologically-Based MEDEVACS We found SUBSCREEN Profiles for 7 of the 13 some were Nukes, & we do not screen enlisted Nukes some went through BESS prior to implementation of SUBSCREEN Calculated SARS performance characteristics in prediction of Psychologically-Based MEDEVACS Sensitivity = 29%; almost 1 in 3 of the MEDEVACS were identified as at risk for attrition by SARS Sensitivity increased to 86% when using the cut-point on the SARS that we intended to use for its implementation as a decision aid when released to the trainers at BESS directly

Implementation of the SARS SARS could be used as a scientific foundation for professional training decisions (e.g., discharge, transfer to surface fleet, intervene to increase motivation) made on submariners These decisions must be made anyway, thus a scientifically sound decision aid would be helpful Many benefits, such as an early identification of those at risk, an early intervention, and a reduction in attrition and misconduct

New SUBSCREEN Mission The results from SARS (the % chance of negative disqualification) COULD be used to inform NAVSUBSCOL judgment when Deciding whether or not a BESS student should stay within the submarine training pipeline Targeting a motivational intervention to those at risk to build up their resilience and prevent their attrition MENTAL HEALTH interviews those referred by SUBSCREEN w/ profile information in hand Final Disposition Answer sheets NAVSUBSCOL (NSMRL administers SUBSCREEN) Referral list Referral list w/ SUBSCREEN profiles & SARS NSMRL scores the answer sheets & generates SUBSCREEN profiles SARS

Projected Savings from Mission Accomplishment The current, 70% hit-rate cut-point (+.85 SD) flags about 16% of BESS students, 70% of whom are at risk for negative attrition Assuming a mean of 2500 BESS students a year, this cut-point identifies 400 (2500 x.16) as at risk, 280 (400 x.70) of whom would likely attrite for negative cause before completing their 1 st enlistment Assuming a motivational intervention targeted to those at risk would successfully retain only 33% of these 280 students (i.e., 92), and thus prevent 92 of them from disqualifying and separating when they reach the fleet, then

Projected Savings from Mission Accomplishment In terms of Advanced (A) School (e.g., sonar tech school) Training Dollars 92 (i.e., 33% of 280) x $60,000 = $5,520,000 a year in saved training dollars 30 (assume only about 1/3rd of the 92 go to A School) x $60,000 = $1,800,000 a year in saved training dollars These dollars are saved because they are spent on training submariners that successfully complete their 1 st enlistment, instead of disqualifying and separating for negative cause

Projected Performance Benefits Reduction in 11 th hour attritions Maintenance of required manpower levels on submarines Improved operational readiness Reduction in operation disruptions by preventing psychologically-based MEDEVACS In sum, these efforts support CNO s attritionreduction initiatives and answers GAO recommendations for better personnel screening

Current Military/National Climate Navy re-enlistment is at a near all-time high (72% as opposed to 40% in previous years) Economic recession with fewer job opportunities Increase in patriotic attitudes Intensity and frequency of submarine operations has increased along with special operations Increases stress in submarine working environment, and the possibility of negative attrition, misconduct, etc. Current military situation is conducive to being more selective, and perhaps to selecting out from submarine training more of those likely to attrite according to the Submarine Attrition Risk Scale (SARS)