scholarly journals B-60 Resilience is Associated with Overall Health-related Quality of Life in Caregivers of Service Members and Veterans Following Traumatic Brain Injury.

2019 ◽  
Vol 34 (6) ◽  
pp. 1006-1006
Author(s):  
T Brickell ◽  
L French ◽  
S Lippa ◽  
R Lange

Abstract Objective To examine the influence of caregiver resilience on health-related quality of life (HRQOL) in caregivers of service members/veterans (SMVs) following a traumatic brain injury (TBI). Methods Caregivers (N = 346, Female = 96.2%; Spouse = 91.0%%; Age: M = 40.6 years) of SMVs following a mild, moderate, severe, or penetrating TBI were recruited from Walter Reed National Military Medical Center and via community outreach to participate in the Defense and Veterans Brain Injury Center 15-Year Longitudinal TBI Study (Sec721 NDAA FY2007). Caregivers completed the Caregiver Appraisal Scale and 15 HRQOL measures. Caregivers were divided into three groups using the Resilience scale from the TBI-QOL: (1) Low Resilience [n = 125], (2) Moderate Resilience [n = 122], and (3) High Resilience [n = 99]. Results There were significant main effects across groups for all HRQOL measures (ps < .001). The Low Resilience group had consistently worse scores compared to both the Moderate and High Resilience groups (d = .50-1.60). The largest effect sizes were found for the Caregiving Satisfaction, Anxiety, Depression, Anger, Social Isolation, Perceived Stress, Caregiver Strain, and Feelings of Loss-Self scales (d = .91-1.60). Step-wise regression analyses revealed that Perceived Stress was the most significant predictor of resilience (R2 = 33.3%), with Caregiver Satisfaction (R2change = 5.0%), Depression (R2change = 1.8%), Caregiver Mastery (R2change = 1.7), Caregiver Specific Anxiety (R2change = 1.2) and Feelings of Loss-Self (R2change = 1.1%) contributing some additional variance in subsequent steps. Conclusions There was a moderate to high relationship between resilience and overall HRQOL in caregivers of SMVs following TBI. Targeted interventions to increase caregiver resilience may be warranted to ensure that burden of care does not undermine the caregiver’s heath and impact the SMV’s recovery and reintegration.

2015 ◽  
Vol 96 (10) ◽  
pp. e92
Author(s):  
Noelle Carlozzi ◽  
Tracey Brickell ◽  
Louis French ◽  
Angelle M. Sander ◽  
Anna Kratz ◽  
...  

2020 ◽  
Vol 29 (10) ◽  
pp. 2781-2792
Author(s):  
Tracey A. Brickell ◽  
Megan M. Wright ◽  
Sara. M. Lippa ◽  
Jamie K. Sullivan ◽  
Jason M. Bailie ◽  
...  

Author(s):  
Isabel R. A. Retel Helmrich ◽  
David van Klaveren ◽  
Simone A. Dijkland ◽  
Hester F. Lingsma ◽  
Suzanne Polinder ◽  
...  

Abstract Background Traumatic brain injury (TBI) is a leading cause of impairments affecting Health-Related Quality of Life (HRQoL). We aimed to identify predictors of and develop prognostic models for HRQoL following TBI. Methods We used data from the Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) Core study, including patients with a clinical diagnosis of TBI and an indication for computed tomography presenting within 24 h of injury. The primary outcome measures were the SF-36v2 physical (PCS) and mental (MCS) health component summary scores and the Quality of Life after Traumatic Brain Injury (QOLIBRI) total score 6 months post injury. We considered 16 patient and injury characteristics in linear regression analyses. Model performance was expressed as proportion of variance explained (R2) and corrected for optimism with bootstrap procedures. Results 2666 Adult patients completed the HRQoL questionnaires. Most were mild TBI patients (74%). The strongest predictors for PCS were Glasgow Coma Scale, major extracranial injury, and pre-injury health status, while MCS and QOLIBRI were mainly related to pre-injury mental health problems, level of education, and type of employment. R2 of the full models was 19% for PCS, 9% for MCS, and 13% for the QOLIBRI. In a subset of patients following predominantly mild TBI (N = 436), including 2 week HRQoL assessment improved model performance substantially (R2 PCS 15% to 37%, MCS 12% to 36%, and QOLIBRI 10% to 48%). Conclusion Medical and injury-related characteristics are of greatest importance for the prediction of PCS, whereas patient-related characteristics are more important for the prediction of MCS and the QOLIBRI following TBI.


Injury ◽  
2019 ◽  
Vol 50 (5) ◽  
pp. 1068-1074 ◽  
Author(s):  
Daphne C. Voormolen ◽  
Suzanne Polinder ◽  
Nicole von Steinbuechel ◽  
Pieter E. Vos ◽  
Maryse C. Cnossen ◽  
...  

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