Among Transitioning Veterans with Service-Connected Disabilities: Who Benefits Most from Career Coaching?

Gary R Bond, Justin D Metcalfe, Monirah Al-Abdulmunem
Author Information
  1. Gary R Bond: Department of Psychology, Indiana University Indianapolis, Indianapolis, IN, USA. gbond@iu.edu. ORCID
  2. Justin D Metcalfe: Social Policy and Economics Research, Westat, Inc, 1600 Rockville Boulevard, Rockville, MD, 20850, USA.
  3. Monirah Al-Abdulmunem: Social Policy and Economics Research, Westat, Inc, 1600 Rockville Boulevard, Rockville, MD, 20850, USA.

Abstract

U.S. service members transitioning from the military face formidable challenges to securing meaningful employment matching their preferences and qualifications. Despite diverse employment services, many veterans settle for dead-end jobs. This study examined personal characteristics predicting successful employment outcomes. In a secondary analysis of a controlled trial assessing 2-year employment outcomes for 205 transitioning veterans with service-connected disabilities participating in a career coaching program, multivariate regression analyses were conducted to identify personal characteristics associated with employment outcomes, including characteristics differentiating who benefits more from a career coaching program, compared to usual services. Two employment outcomes were examined: job acquisition and employment earnings. The single best predictor of job acquisition was assignment to the career coaching intervention. Among 18 demographic, military service, and health and well-being measures, the only predictor of job acquisition was gender (91% of men and 79% of women worked during follow-up). Twelve personal characteristics were associated with mean monthly earnings from employment, including four demographic measures, three military service measures, and five measures of health and well-being. Disability ratings did not predict employment outcomes. Overall, career coaching helped veterans gain employment, regardless of their personal characteristics. Three personal characteristics differentiated veterans who benefited more from career coaching. Veterans reporting alcohol use and those who had a longer period of military service benefited more, as did veterans who were not depressed. The authors conclude that most veterans obtain civilian employment soon after separation from the military, but personal characteristics strongly influence their employment earnings.

Keywords

References

  1. GAO. Transitioning service members: Information on military employment assistance centers. Government Accounting Office, 2019. Available at https://www.gao.gov/assets/700/699769.pdf . Accessed 2 Jan 2025.
  2. Prudential Financial. Veterans��� employment challenges: perceptions and experiences of transitioning from military to civilian life. Prudential Financial, 2012. Available at http://hdl.voced.edu.au/10707/291614 . Accessed 2 Jan 2025.
  3. Aronson KR, Perkins DF, Morgan NR, et al. Post 9/11 veteran transitions to civilian life: Predictors of the use of employment programs. Journal of Veterans Studies 2019; 5:14���22. Available at https://doi.org/10.21061/jvs.v5i1.127 . Accessed 2 Jan 2025.
  4. Dexter JC. Human resources challenges of military to civilian employment transitions. Career Development International 2020; 5:481���500. Available at https://doi.org/10.1108/CDI-02-2019-0032 . Accessed 2 Jan 2025.
  5. Keeling M, Kintzle S, Castro CA. Exploring U.S. Veterans��� post-service employment experiences. Military Psychology 2018; 30:63���69. Available at https://doi.org/10.1080/08995605.2017.1420976 . Accessed 2 Jan 2025.
  6. Loughran DS. Why is veteran unemployment so high? RAND Corporation, 2014. Available at https://www.rand.org/pubs/research_reports/RR284.html . Accessed 2 Jan 2025.
  7. Mobbs MC, Bonanno GA. Beyond war and PTSD: The crucial role of transition stress in the lives of military veterans. Clinical Psychology Review 2018; 59:137���144. Available at https://doi.org/10.1016/j.cpr.2017.11.007 . Accessed 2 Jan 2025.
  8. Sherman MD, Larsen J, Borden LM. Broadening the focus in supporting reintegrating Iraq and Afghanistan veterans: Six key domains of functioning. Professional Psychology: Research and Practice 2015; 46:355���365. Available at https://doi.org/10.1037/pro0000043 . Accessed 2 Jan 2025.
  9. Stern L. Post 9/11 veterans with service-connected disabilities and their transition to the civilian workforce: A review of the literature. Advances in Developing Human Resources 2017; 19:66���77. Available at https://doi.org/10.1177/1523422316682928 . Accessed 2 Jan 2025.
  10. LePage P. Retaining military veterans in the civilian workforce. Muma Business Review 2020; 4:91���106. Available at https://doi.org/10.28945/4584 . Accessed 2 Jan 2025.
  11. Davenport KE, Morgan NR, Balotti BA, et al. Underemployment, compensation dissatisfaction, job turnover, and salary change: How are post-9/11 veterans doing three years after leaving the US military? Journal of Veterans Studies 2024; 10:288���305. Available at https://journal-veterans-studies.org/articles/542/files/66e983d1704b7.pdf . Accessed 2 Jan 2025.
  12. Ainspan ND, Penk W, Kearney LK. Psychosocial approaches to improving the military-to-civilian transition process. Psychological Services 2018; 15:129���134. Available at https://doi.org/10.1037/ser0000259 . Accessed 2 Jan 2025.
  13. Kleykamp M, Wenger JB, Roer EH, et al. Federal programs to assist military-to-civilian employment transitions: Limited scrutiny and substantial investment in education programs. RAND Corporation, 2024. Available at https://www.rand.org/pubs/research_reports/RRA1363-12.html . Accessed 2 Jan 2025.
  14. Campbell K, Bond GR, Drake RE. Who benefits from supported employment: A meta-analytic study. Schizophrenia Bulletin 2011; 37:370���380. Available at https://doi.org/10.1093/schbul/sbp066 . Accessed 2 Jan 2025.
  15. O'Connor R, Schoeneberger J, Clark D. Evaluation of the Transition Assistance Program (TAP): Impact study report. U.S. Department of Labor. July, 2023. Available at https://www.dol.gov/sites/dolgov/files/OASP/evaluation/pdf/TAP/TAP%20Impact%20Study%20Report_508.pdf . Accessed 2 Jan 2025.
  16. Amara JH, Stolzmann KL, Iverson KM, et al. Predictors of employment status in male and female post-9/11 veterans evaluated for traumatic brain injury. Journal of Head Trauma Rehabilitation 2019; 34:11���20. Available at https://doi.org/10.1097/HTR.0000000000000404 . Accessed 2 Jan 2025.
  17. Bakken-Gillen SK, Berven NL, Chan F, et al. Prediction of employment outcomes among veterans with substance use disorders: A chi-squared interaction detector analysis. Journal of Vocational Rehabilitation 2015; 43:113���127. Available at https://doi.org/10.3233/JVR-150761 . Accessed 2 Jan 2025.
  18. Burdett H, Fear NT, Wessely S, et al. Military and demographic predictors of mental ill-health and socioeconomic hardship among UK veterans. BMC Psychiatry 2021; 21:304. Available at https://doi.org/10.1186/s12888-021-03296-x . Accessed 2 Jan 2025.
  19. Burnett-Zeigler I, Valenstein M, Ilgen M, et al. Civilian employment among recently returning Afghanistan and Iraq National Guard veterans. Military Medicine 2011; 176:639���646. Available at https://doi.org/10.7205/MILMED-D-10-00450 . Accessed 2 Jan 2025.
  20. Church HR, Seewald PM, Clark JM, et al. Predictors of work outcomes following supported employment in veteranswith a history of traumatic brain injury. NeuroRehabilitation 2019; 44:333���339. Available at https://doi.org/10.3233/NRE-182631 . Accessed 2 Jan 2025.
  21. Cohen SI, Suri P, Amick MM, et al. Clinical and demographic factors associated with employment status in US military veterans returning from Iraq and Afghanistan. Work 2013; 44:213���219. Available at https://doi.org/10.3233/WOR-2012-1417 . Accessed 2 Jan 2025.
  22. Dillahunt-Aspillaga C, Nakase-Richardson R, Hart T, et al. Predictors of employment outcomes in veterans with traumatic brain injury: A VA traumatic brain injury model systems study. Journal of Head Trauma Rehabilitation 2017; 32:271���282. Available at https://doi.org/10.1097/HTR.0000000000000275 . Accessed 2 Jan 2025.
  23. Erbes CR, Kaler ME, Schult T, et al. Mental health diagnosis and occupational functioning in National Guard/Reserve veterans returning from Iraq. Journal of Rehabilitation Research and Development 2011; 48:1159���1170. Available at https://doi.org/10.1682/jrrd.2010.11.0212 . Accessed 2 Jan 2025.
  24. Hamilton AB, Williams L, Washington DL. Military and mental health correlates of unemployment in a national sample of women veterans. Medical Care 2015; 53(4 Suppl 1):S32-S38. Available at https://doi.org/10.1097/mlr.0000000000000297 . Accessed 2 Jan 2025.
  25. Hendrikx LJ, Ross J, Armour C, et al. Predictors of not working among treatment-seeking UK veterans: a cross-sectional study. BMJ Military Health 2020; 168:9���14. Available at https://doi.org/10.1136/bmjmilitary-2020-001412 . Accessed 2 Jan 2025.
  26. Horton JL, Jacobson IG, Wong CA, et al. The impact of prior deployment experience on civilian employment after military service. Occupational and Environmental Medicine 2013; 70:408���417. Available at https://doi.org/10.1136/oemed-2012-101073 . Accessed 2 Jan 2025.
  27. Iversen A, Nikolaou V, Greenberg N, et al. What happens to British veterans when they leave the armed forces? European Journal of Public Health 2005; 15:175-184. Available at https://doi.org/10.1093/eurpub/cki128 . Accessed 2 Jan 2025
  28. Krigbaum G, Good CC, Ogle AK, et al. Factors in the transition of career military personnel to the civilian workforce. Industrial-Organizational Psychologist 2020; 57:51���65. Available at https://www.siop.org/Research-Publications/Items-of-Interest/ArticleID/3435/ArtMID/19366 . Accessed 2 Jan 2025.
  29. Larson GE, Norman SB. Prospective prediction of functional difficulties among recently separated veterans. Journal of Rehabilitation Research and Development 2014; 51:415���428. Available at https://doi.org/10.1682/JRRD.2013.06.0135 . Accessed 2 Jan 2025.
  30. Lawrence KA, Vogt D, Dugan AJ, et al. Mental health and psychosocial functioning in recently separated US women veterans: Trajectories and bi-directional relationships. International Journal of Environmental Research and Public Health 2021; 18(3). Available at https://doi.org/10.3390/ijerph18030935 . Accessed 2 Jan 2025.
  31. Nelson CB, Zivin K, Walters H, et al. Factors associated with civilian employment, work satisfaction, and performance among National Guard members. Psychiatric Services 2015; 66:1318���1325. Available at https://doi.org/10.1176/appi.ps.201400334 . Accessed 2 Jan 2025.
  32. Ottomanelli L, Goetz LL, Barnett SD, et al. Factors associated with past and current employment of veterans with spinal cord injury. Journal of Spinal Cord Medicine 2022; 45:137���147. Available at https://doi.org/10.1080/10790268.2020.1769950 . Accessed 2 Jan 2025.
  33. Ottomanelli L, Sippela JL, Cipher DJ, et al. Factors associated with employment among veterans with spinal cord injury. Journal of Vocational Rehabilitation 2011; 34:141���150. Available at https://doi.org/10.3233/JVR-2011-0542 . Accessed 2 Jan 2025.
  34. Pogoda TK, Stolzmann KL, Iverson KM, et al. Associations between traumatic brain injury, suspected psychiatric conditions, and unemployment in Operation Enduring Freedom/Operation Iraqi Freedom veterans. Journal of Head Trauma Rehabilitation 2016; 31:191���203. Available at https://doi.org/10.1097/HTR.0000000000000092 . Accessed 2 Jan 2025.
  35. Smith DL. The relationship between employment and veteran status, disability and gender from 2004���2011 Behavioral Risk Factor Surveillance System (BRFSS). Work 2014; 49:325���334. Available at https://doi.org/10.3233/WOR-131648 . Accessed 2 Jan 2025.
  36. Sprong ME, Blankenberger B, Pierce SM, et al. The COVID-19 pandemic���s influence on employment outcomes of veterans enrolled in VA healthcare vocational rehabilitation. Journal of Vocational Rehabilitation 2024; pre-press. Available at https://doi.org/10.3233/JVR-230065 . Accessed 2 Jan 2025.
  37. Zivin K, Campbell DG, Lanto AB, et al. Relationships between mood and employment over time among depressed VA primary care patients. General Hospital Psychiatry 2012; 34:468���477. Available at https://doi.org/10.1016/j.genhosppsych.2012.05.008 . Accessed 2 Jan 2025.
  38. Tsai J, Rosenheck RA. Examination of Veterans Affairs disability compensation as a disincentive for employment in a population-based sample of veterans under age 65. Journal of Occupational Rehabilitation 2013; 23:504���512. Available at https://doi.org/10.1007/s10926-013-9419-z . Accessed 2 Jan 2025.
  39. U.S. Bureau of Labor Statistics. Employment situation of veterans: News release (USDL-23���0537; March 21, 2023). U. S. Department of Labor. Available at https://www.bls.gov/news.release/vet.htm . Accessed 2 Jan 2025.
  40. Bond GR, Al-Abdulmunem M, Ressler DR, et al. Randomized controlled trial of an employment program for veterans transitioning from the military: Two-year outcomes. Administration and Policy in Mental Health and Mental Health Services Research. 2022;49:1072���1083. Available at https://doi.org/10.1007/s10488-022-01208-z . Accessed 2 Jan 2025.
  41. Davis LL, Kyriakides TC, Suris A, et al. Veterans individual placement and support towards advancing recovery: Methods and baseline clinical characteristics of a multisite study. Psychiatric Rehabilitation Journal 2018; 41:55���66. Available at https://doi.org/10.1037/prj0000250 . Accessed 2 Jan 2025.
  42. Diener E, Emmons RA, Larsen RJ, et al. The Satisfaction With Life Scale. Journal of Personality Assessment 1985; 49:71���75. Available at https://doi.org/10.1207/s15327752jpa4901_13 . Accessed 2 Jan 2025.
  43. Pavot W, Diener E. Review of the Satisfaction With Life Scale. Psychological Assessment 1993; 5:164���172. Available at https://doi.org/10.1037/1040-3590.5.2.164 . Accessed 2 Jan 2025.
  44. Ware JE, Kosinkski M, Keller S. A 12-item short-form health survey: construction of scales and preliminary tests of reliability and validity. Medical Care 1996; 34:220���233. Available at https://doi.org/10.1097/00005650-199603000-00003 . Accessed 2 Jan 2025.
  45. Selim AJ, Rogers W, Fleishman JA, et al. Updated U.S. population standard for the Veterans RAND 12-item Health Survey (VR-12). Quality of Life Research 2009; 18:43���52. Available at https://doi.org/10.1007/s11136-008-9418-2 . Accessed 2 Jan 2025.
  46. Salyers MP, Bosworth HB, Swanson JW, et al. Reliability and validity of the SF-12 health survey among people with severe mental illness. Medical Care 2000; 38:1141���1150. Available at https://doi.org/10.1097/00005650-200011000-00008 . Accessed 2 Jan 2025.
  47. Kroenke K, Spitzer RL. The PHQ-9: A new depression diagnostic and severity measure. Psychiatric Annals 2002; 32:1���7. Available at https://doi.org/10.3928/0048-5713-20020901-06 . Accessed 2 Jan 2025.
  48. Prawitz AD, Garman ET, Sorhaindo B, et al. In charge financial distress/financial well-being scale: Development, administration, and score interpretation. Journal of Financial Counseling and Planning 2006; 17:34���50. Available at https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2239338 . Accessed 2 Jan 2025.
  49. Garman ET, MacDicken B, Hunt H, et al. Progress in measuring changes in financial distress and financial well-being as a result of financial literacy programs. Consumer Interests Annual 2007; 53:199���211. Available at https://www.consumerinterests.org/assets/docs/CIA/CIA2007/garman_progressinmeasuringchangesinfinancialdistressandfinan.pdf . Accessed 2 Jan 2025.
  50. Weathers FW, Litz BT, Keane TM, et al. The PTSD Checklist for DSM-5 (PCL-5) ��� Extended Criterion A [Measurement instrument]. 2013. Available at https://www.ptsd.va.gov/professional/assessment/adult-sr/ptsd-checklist.asp . Accessed 2 Jan 2025.
  51. Hoge CW, Riviere LA, Wilk JE, et al. The prevalence of post-traumatic stress disorder (PTSD) in US combat soldiers: A head-to-head comparison of DSM-5 versus DSM-IV-TR symptom criteria with the PTSD checklist. Lancet Psychiatry 2014; 1:269���277. Available at https://doi.org/10.1016/S2215-0366(14)70235-4 . Accessed 2 Jan 2025.
  52. Maynard C, Nelson K, Fihn SD. Disability rating and 1-year mortality among veterans with service-connected health conditions. Public Health Reports 2017; 133:692���699. Available at https://doi.org/10.1177/0033354918794929 . Accessed 2 Jan 2025.
  53. Tukey JW. Exploratory data analysis. Addison-Wesley, 1977.
  54. Boulton AJ, Williford A. Analyzing skewed continuous outcomes with many zeros: A tutorial for social work and youth prevention science researchers. Journal of the Society for Social Work and Research 2018; 9:721���740. Available at https://doi.org/10.1086/701235 . Accessed 2 Jan 2025.
  55. Whooley MA, Kiefe CI, Chesney MA, et al. Depressive symptoms, unemployment, and loss of income: The CARDIA Study. Archives of Internal Medicine 2002; 162:2614���2620. Available at https://doi.org/10.1001/archinte.162.22.2614 . Accessed 2 Jan 2025.
  56. Herbig B, Dragano N, Angerer P. Health in the long-term unemployed. Deutsches ��rzteblatt International 2013;110:413���419. Available at https://doi.org/10.3238/arztebl.2013.0413 . Accessed 2 Jan 2025.
  57. Paul KI, Moser K. Unemployment impairs mental health: Meta-analyses. Journal of Vocational Behavior 2009; 74:264���282. Available at https://doi.org/10.1016/j.jvb.2009.01.001 . Accessed 2 Jan 2025.
  58. Kulik L. Impact of length of unemployment and age on jobless men and women: a comparative analysis. Journal of Employment Counseling. 2001;38:15���27. Available at https://doi.org/10.1002/j.2161-1920.2001.tb00489.x . Accessed 2 Jan 2025.
  59. Nichols A, Mitchell J, Lindner S. Consequences of long-term unemployment. Urban Institute, 2013. Available at: https://www.urban.org/sites/default/files/publication/23921/412887-Consequences-of-Long-Term-Unemployment.PDF?source=post_page . Accessed 2 Jan 2025.
  60. Meshberg-Cohen S, Reid-Qui��ones K, Black AC, et al. Veterans��� attitudes toward work and disability compensation: Associations with substance abuse. Addictive Behaviors. 2014;39:445���448. Available at https://doi.org/10.1016/j.addbeh.2013.09.005 . Accessed 2 Jan 2025.
  61. Drake RE, Frey WD, Bond GR, et al. Assisting Social Security Disability Insurance beneficiaries with schizophrenia, bipolar disorder, or major depression in returning to work. American Journal of Psychiatry. 2013;170:1433���1441. Available at https://doi.org/10.1176/appi.ajp.2013.13020214 . Accessed 2 Jan 2025.
  62. Burnett-Zeigler I, Ilgen MA, Bohnert K, et al. The impact of psychiatric disorders on employment: Results from a national survey (NESARC). Community Mental Health Journal. 2013;49:303���310. Available at https://doi.org/10.1007/s10597-012-9510-5 . Accessed 2 Jan 2025.
  63. Campbell K, Bond GR, Drake RE, et al. Client predictors of employment outcomes in high-fidelity supported employment: A regression analysis. Journal of Nervous and Mental Disease. 2010;198:556���563. Available at https://doi.org/10.1097/NMD.0b013e3181ea1e53 . Accessed 2 Jan 2025.
  64. Metcalfe JD, Bond GR, Drake RE. Predicting employment in the Mental Health Treatment Study: Do client factors matter? Administration and Policy in Mental Health and Mental Health Services Research. 2017;44:345���353. Available at https://doi.org/10.1007/s10488-016-0774-x . Accessed 2 Jan 2025.
  65. Saunders JL, Leahy MJ, McGlynn C, et al. Predictors of employment outcomes for persons with disabilities: An integrative review of potential evidenced-based factors. Journal of Applied Rehabilitation Counseling. 2006;37:3���20. Available at https://doi.org/10.1891/0047-2220.37.2.3 . Accessed 2 Jan 2025.
  66. Modini M, Joyce S, Mykletun A, et al. The mental health benefits of employment: Results of a systematic meta-review. Australasian Psychiatry 2016;24:331���336. Available at https://doi.org/10.1177/1039856215618523 . Accessed 2 Jan 2025.
  67. Bond GR, Al-Abdulmunem M, Drake RE, et al. Transition from military service: Mental health and well-being among service members and veterans with service-connected disabilities. Journal of Behavioral Health Services and Research. 2022;49:282���298. Available at https://doi.org/10.1007/s11414-021-09778-w . Accessed 2 Jan 2025.
  68. Twamley EW, Baker D, Norman S, et al. VHA vocational services for OEF/OIF veterans with mental health conditions. Journal of Rehabilitation Research and Development. 2013;50:663���670. Available at https://doi.org/10.1682/JRRD.2012.08.0137 . Accessed 2 Jan 2025.
  69. Davis LL, Kyriakides TC, Suris AM, et al. Effect of evidence-based supported employment vs transitional work on achieving steady work among veterans with posttraumatic stress disorder: a randomized clinical trial. JAMA Psychiatry. 2018;75:316���324. Available at https://doi.org/10.1001/jamapsychiatry.2017.4472 . Accessed 2 Jan 2025.
  70. Ottomanelli L, Barnett SD, Goetz LL. The effectiveness of supported employment for veterans with spinal cord injury: 2-year results. Archives of Physical Medicine and Rehabilitation. 2014;95:784���790. Available at https://doi.org/10.1016/j.apmr.2013.11.012 . Accessed 2 Jan 2025.
  71. LePage JP, Crawford AM, Cipher DJ, et al. Blending traditional vocational services and Individualized Placement and Support for formerly incarcerated veterans. Psychiatric Services. 2020;71:816���823. Available at https://doi.org/10.1176/appi.ps.201900421 . Accessed 2 Jan 2025.
  72. Abraham KM, Yosef M, Resnick SG, Zivin K. Competitive employment outcomes among veterans in VHA therapeutic and supported employment services programs. Psychiatric Services. 2017;68:938���946. Available at https://doi.org/10.1176/appi.ps.201600412 . Accessed 2 Jan 2025.

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