A prospective assessment of resilience in trauma patients using the Connor-Davidson Resilience Scale

Surgery. 2023 Nov;174(5):1249-1254. doi: 10.1016/j.surg.2023.07.012. Epub 2023 Aug 19.

Abstract

Background: Resilience, or the ability to adapt to difficult or challenging life experiences, may be an important mediator in trauma recovery. The primary aim of this study was to describe resilience levels for trauma patients using the validated Connor-Davidson Resilience Scale.

Methods: Adult trauma patients admitted to a Level 1 trauma center (June 2022-August 2022) were surveyed at the time of admission and by phone between 2 weeks and 1 month after the original survey to obtain follow-up scores. We utilized the validated Connor-Davidson Resilience Scale score, a 25-question survey with 5 subfactors (Tenacity, Positive Outlook, Social Support, Problem Solving, and Meaning and Purpose). Each question was scored from 0 to 4 (maximum score 100, representing the highest resilience). Patient factors were collected from the electronic medical record and trauma health registry. Wilcoxon signed-rank test and multivariable linear regression were used to understand associations with Connor-Davidson Resilience Scale scores.

Results: We enrolled 98 patients. The median age was 50 years (interquartile range 32-67), and 74% were male sex. The baseline median Connor-Davidson Resilience Scale score on admission was 88 (interquartile range 81-94). Follow-up surveys (N = 64) showed a median score of 89.5 (80-90.5) (P = non-significant). No demographic variable was significantly associated with increasing baseline Connor-Davidson Resilience Scale score. Increased length of stay (β = 1.03), insurance (β = -7.50), and unknown race (β = 23.69) were correlated with follow-up Connor-Davidson Resilience Scale scores. The subfactor "Meaning and Purpose" decreased at follow-up but was not statistically significant (P = .05).

Conclusion: Validated tools that can accurately distinguish variability in resilience scores are needed for the trauma patient population to understand its relationship with long-term patient health outcomes.

Publication types

  • Research Support, Non-U.S. Gov't
  • Research Support, N.I.H., Extramural

MeSH terms

  • Adult
  • Female
  • Humans
  • Linear Models
  • Male
  • Middle Aged
  • Prospective Studies
  • Resilience, Psychological*
  • Social Support
  • Surveys and Questionnaires