Health Promotion Clinical Trial
Official title:
Improving Resiliency in U.S. Air Force Healthcare Personnel
Verified date | May 2023 |
Source | University of New Mexico |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Interventional |
The purpose of this study is to examine the effectiveness of the Stress Management and Resilience Training (SMART) in increasing resilience in Air Force (AF) healthcare personnel. SMART includes practices that focus on six factors that promote individual-level resilience. A pretest-posttest, randomized control trial will be used to examine the effectiveness of SMART and is guided by the Defense Centers of Excellence Resilience Continuum. After institutional review board approval, the principal investigator (PI) will recruit a sample of AF healthcare personnel assigned to the 88th Medical Group or USAF School of Aerospace Medicine at Wright Patterson AF Base. SMART will be provided via either a two-hour, video teleconference (VTC) or in-person training or a self-paced, on-line version completed over four to eight weeks. VTC or on-line versions will be utilized to prevent transmission of severe acute respiratory syndrome coronavirus-2. If in-person training is feasible and safe at a future point in time, in-person training will replace VTC training. A baseline survey will include questions regarding age, gender, marital status, race, ethnicity, previous deployment, military rank, and military job duty. The Connor Davidson 10-Item Resilience Scale has demonstrated reliability and validity, and has been used in studies to measure service member resilience. Additional measures include the Perceived Stress Scale, Generalized Anxiety Disorder Scale, and a Quality of Life measure. The CD-10, PSS, GAD-7, and QoL measure will be readministered 12, 18, and 24-weeks after SMART completion. Initial analysis will include descriptive statistics to characterize demographics, military grade, duty location, and previous deployment status. Cronbach's α will be calculated for each scale. Analyses will be reported as point estimates with 95% confidence intervals and estimates of effect size. Both VTC and on-line groups will be analyzed separately and scores will be pooled to test for overall intervention effects. The investigators will conduct regression models on the pre-post intervention difference while controlling for demographic characteristics and previous deployment. The investigators will consider clustering effects among participants from the same organizational unit using random effects. Changes in resilience, stress, anxiety, and QoL over time will be assessed by analyzing changes from baseline to weeks 12, 18, and 24. The investigators will consider a joint analysis of resilience, stress, anxiety, or QOL.
Status | Completed |
Enrollment | 56 |
Est. completion date | May 31, 2022 |
Est. primary completion date | February 1, 2022 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | 18 Years and older |
Eligibility | Inclusion Criteria: - Participants must be active component healthcare personnel (any 4XXX Officer or Enlisted AFSC) serving in the U.S. Air Force, assigned to 88th MDG and USAFA at WPAFB, OH. - Participants must be = 18 years of age to participate. Exclusion Criteria: - Adults unable or unwilling to provide consent and individuals who are not yet adults will be excluded from this study. - Active component Air Force service members without a healthcare AFSC will be excluded from the study. |
Country | Name | City | State |
---|---|---|---|
United States | Wright-Patterson Air Force Base | Dayton | Ohio |
Lead Sponsor | Collaborator |
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University of New Mexico |
United States,
5 Department of Defense. (2015, July). Report to Congressional Armed Services Committees: Implementation of recommendations of Institute of Medicine on improvements on certain resilience and prevention programs of the Department of Defense. Retrieved from https://www.pdhealth.mil/report-implementation-recommendations-institute-medicine-improvements-certain-resilience-and
Bezdjian S, Schneider KG, Burchett D, Baker MT, Garb HN. Resilience in the United States Air Force: Psychometric properties of the Connor-Davidson Resilience Scale (CD-RISC). Psychol Assess. 2017 May;29(5):479-485. doi: 10.1037/pas0000370. Epub 2016 Aug 8. — View Citation
Campbell-Sills L, Stein MB. Psychometric analysis and refinement of the Connor-davidson Resilience Scale (CD-RISC): Validation of a 10-item measure of resilience. J Trauma Stress. 2007 Dec;20(6):1019-28. doi: 10.1002/jts.20271. — View Citation
Chesak SS, Bhagra A, Schroeder DR, Foy DA, Cutshall SM, Sood A. Enhancing resilience among new nurses: feasibility and efficacy of a pilot intervention. Ochsner J. 2015 Spring;15(1):38-44. — View Citation
Cohen S, Kamarck T, Mermelstein R. A global measure of perceived stress. J Health Soc Behav. 1983 Dec;24(4):385-96. No abstract available. — View Citation
Cohen, S., & Williamson, G. (1988). Perecived stress in a probablility sample of the United States. In S. Spacapan & S. Oskamp (Eds.), The social psychology of health (pp. 31-67). Newbury Park, CA: Sage.
Committee on the Assessment of Resiliency and Prevention Programs for Mental and Behavioral Health in Service Members and Their Families; Board on the Health of Select Populations; Institute of Medicine; Denning LA, Meisnere M, Warner KE, editors. Preventing Psychological Disorders in Service Members and Their Families: An Assessment of Programs. Washington (DC): National Academies Press (US); 2014 Feb 11. Available from http://www.ncbi.nlm.nih.gov/books/NBK222170/ — View Citation
Connor KM, Davidson JR. Development of a new resilience scale: the Connor-Davidson Resilience Scale (CD-RISC). Depress Anxiety. 2003;18(2):76-82. doi: 10.1002/da.10113. — View Citation
Dyrbye LN, Shanafelt TD, Werner L, Sood A, Satele D, Wolanskyj AP. The Impact of a Required Longitudinal Stress Management and Resilience Training Course for First-Year Medical Students. J Gen Intern Med. 2017 Dec;32(12):1309-1314. doi: 10.1007/s11606-017-4171-2. Epub 2017 Aug 31. — View Citation
Harris PA, Taylor R, Thielke R, Payne J, Gonzalez N, Conde JG. Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform. 2009 Apr;42(2):377-81. doi: 10.1016/j.jbi.2008.08.010. Epub 2008 Sep 30. — View Citation
Hernandez SH, Morgan BJ, Parshall MB. Resilience, Stress, Stigma, and Barriers to Mental Healthcare in U.S. Air Force Nursing Personnel. Nurs Res. 2016 Nov/Dec;65(6):481-486. doi: 10.1097/NNR.0000000000000182. — View Citation
Hernandez SHA, Morgan BJ, Parshall MB. Treatment-Seeking Beliefs and Behaviors in Air Force Nursing Personnel. Mil Med. 2017 Jul;182(7):e1687-e1692. doi: 10.7205/MILMED-D-16-00397. — View Citation
Kashani K, Carrera P, De Moraes AG, Sood A, Onigkeit JA, Ramar K. Stress and burnout among critical care fellows: preliminary evaluation of an educational intervention. Med Educ Online. 2015 Jul 23;20:27840. doi: 10.3402/meo.v20.27840. eCollection 2015. — View Citation
Locke DE, Decker PA, Sloan JA, Brown PD, Malec JF, Clark MM, Rummans TA, Ballman KV, Schaefer PL, Buckner JC. Validation of single-item linear analog scale assessment of quality of life in neuro-oncology patients. J Pain Symptom Manage. 2007 Dec;34(6):628-38. doi: 10.1016/j.jpainsymman.2007.01.016. Epub 2007 Aug 20. — View Citation
Loprinzi CE, Prasad K, Schroeder DR, Sood A. Stress Management and Resilience Training (SMART) program to decrease stress and enhance resilience among breast cancer survivors: a pilot randomized clinical trial. Clin Breast Cancer. 2011 Dec;11(6):364-8. doi: 10.1016/j.clbc.2011.06.008. Epub 2011 Aug 10. — View Citation
Magtibay DL, Chesak SS, Coughlin K, Sood A. Decreasing Stress and Burnout in Nurses: Efficacy of Blended Learning With Stress Management and Resilience Training Program. J Nurs Adm. 2017 Jul/Aug;47(7-8):391-395. doi: 10.1097/NNA.0000000000000501. — View Citation
Maguen S, Turcotte DM, Peterson AL, Dremsa TL, Garb HN, McNally RJ, Litz BT. Description of risk and resilience factors among military medical personnel before deployment to Iraq. Mil Med. 2008 Jan;173(1):1-9. doi: 10.7205/milmed.173.1.1. — View Citation
Meredith LS, Sherbourne CD, Gaillot SJ, Hansell L, Ritschard HV, Parker AM, Wrenn G. Promoting Psychological Resilience in the U.S. Military. Rand Health Q. 2011 Jun 1;1(2):2. eCollection 2011 Summer. — View Citation
Pietrzak RH, Goldstein MB, Malley JC, Rivers AJ, Johnson DC, Southwick SM. Risk and protective factors associated with suicidal ideation in veterans of Operations Enduring Freedom and Iraqi Freedom. J Affect Disord. 2010 Jun;123(1-3):102-7. doi: 10.1016/j.jad.2009.08.001. Epub 2009 Oct 12. — View Citation
Pietrzak RH, Southwick SM. Psychological resilience in OEF-OIF Veterans: application of a novel classification approach and examination of demographic and psychosocial correlates. J Affect Disord. 2011 Oct;133(3):560-8. doi: 10.1016/j.jad.2011.04.028. Epub 2011 May 31. — View Citation
Resilient Option. (n.d.). Resilient option on-line program. Retrieved June 30, 2020 from https://www.resilientoption.com/online-program
Rocklein Kemplin K, Paun O, Godbee DC, Brandon JW. Resilience and Suicide in Special Operations Forces: State of the Science via Integrative Review. J Spec Oper Med. 2019 Summer;19(2):57-66. doi: 10.55460/BQES-AM8H. — View Citation
Sharma V, Sood A, Prasad K, Loehrer L, Schroeder D, Brent B. Bibliotherapy to decrease stress and anxiety and increase resilience and mindfulness: a pilot trial. Explore (NY). 2014 Jul-Aug;10(4):248-52. doi: 10.1016/j.explore.2014.04.002. Epub 2014 Apr 19. — View Citation
Singh JA, Satele D, Pattabasavaiah S, Buckner JC, Sloan JA. Normative data and clinically significant effect sizes for single-item numerical linear analogue self-assessment (LASA) scales. Health Qual Life Outcomes. 2014 Dec 18;12:187. doi: 10.1186/s12955-014-0187-z. — View Citation
Sood A, Prasad K, Schroeder D, Varkey P. Stress management and resilience training among Department of Medicine faculty: a pilot randomized clinical trial. J Gen Intern Med. 2011 Aug;26(8):858-61. doi: 10.1007/s11606-011-1640-x. Epub 2011 Jan 29. — View Citation
Sood A, Sharma V, Schroeder DR, Gorman B. Stress Management and Resiliency Training (SMART) program among Department of Radiology faculty: a pilot randomized clinical trial. Explore (NY). 2014 Nov-Dec;10(6):358-63. doi: 10.1016/j.explore.2014.08.002. Epub 2014 Aug 21. — View Citation
Sood, A. (n.d.). Transform course. Retrieved June 30, 2020 from https://www.resiliencetrainer.com/transform-course
Spitzer RL, Kroenke K, Williams JB, Lowe B. A brief measure for assessing generalized anxiety disorder: the GAD-7. Arch Intern Med. 2006 May 22;166(10):1092-7. doi: 10.1001/archinte.166.10.1092. — View Citation
Stonnington CM, Darby B, Santucci A, Mulligan P, Pathuis P, Cuc A, Hentz JG, Zhang N, Mulligan D, Sood A. A resilience intervention involving mindfulness training for transplant patients and their caregivers. Clin Transplant. 2016 Nov;30(11):1466-1472. doi: 10.1111/ctr.12841. Epub 2016 Oct 14. — View Citation
Thompson SR, Dobbins S. The Applicability of Resilience Training to the Mitigation of Trauma-Related Mental Illness in Military Personnel [Formula: see text]. J Am Psychiatr Nurses Assoc. 2018 Jan/Feb;24(1):23-34. doi: 10.1177/1078390317739957. Epub 2017 Nov 15. — View Citation
Werneburg BL, Jenkins SM, Friend JL, Berkland BE, Clark MM, Rosedahl JK, Preston HR, Daniels DC, Riley BA, Olsen KD, Sood A. Improving Resiliency in Healthcare Employees. Am J Health Behav. 2018 Jan 1;42(1):39-50. doi: 10.5993/AJHB.42.1.4. — View Citation
Windle G. The contribution of resilience to healthy ageing. Perspect Public Health. 2012 Jul;132(4):159-60. doi: 10.1177/1757913912449572. No abstract available. — View Citation
* Note: There are 32 references in all — Click here to view all references
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Changes in Connor-Davidson 10-Item Scale (CD-10) | Resilience was measured using the CD-10, a 10-item scale derived from the original, 25-item Connor Davidson Resilience Scale. Respondents can answer each item using a five-point rating ranging from not true at all (0) to true nearly all the time (4). A total CD-RISC score is calculated by summing the score of all 10 items for a total possible score of 40, with a higher score reflecting a greater level of resilience. The CD-10 has a reported Cronbach's alpha of .85 and has demonstrated construct validity. | Changes in self-reported CD-10 from Baseline at 12, 18, and 24 weeks post-SMART completion | |
Secondary | Changes in Perceived Stress Scale (PSS) | The PSS was developed to provide both a global measure and a measure for current levels of perceived stress. The PSS is a 14-item instrument, and respondents answer each item on a four-point scale ranging from never (0) to very often (4). An individual's score is calculated by reverse scoring seven items and then summing all item scores, resulting in a score range of 0-56. | Changes in self-reported PSS from Baseline at 12, 18, and 24 weeks post-SMART completion | |
Secondary | Changes in Generalized Anxiety Disorder Scale (GAD-7) | Anxiety was measured with the GAD-7. Respondents can answer each item using a four-point scale ranging from not at all (0) nearly every day (3). A total score is calculated by summing the scores of the seven items with possible scores ranging from 0-21. Scores between 5-9 are indicative of mild anxiety, and score between 15-21 are indicative of severe anxiety. | Changes in self-reported GAD-7 scores from Baseline at 12, 18, and 24 weeks post-SMART completion | |
Secondary | Changes in Quality of Life (QOL) | A Linear Analogue Self-Assessment (LASA) QoL measure was used to measure overall quality of life for this study. Participants responded to each item using an 11-pointLikert scale ranging from as bad as it can be (0) to as good as it can be (10). | Changes in self-reported QOL scores from Baseline at 12, 18, and 24 weeks post-SMART completion |
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