TY - JOUR
T1 - Growth curve trajectories of distress in burn patients
AU - Mason, Shawn T.
AU - Corry, Nida
AU - Gould, Neda F.
AU - Amoyal, Nicole
AU - Gabriel, Vincent
AU - Wiechman-Askay, Shelly
AU - Holavanahalli, Radha
AU - Banks, Sean
AU - Arceneaux, Lisa
AU - Fauerbach, James A.
N1 - Copyright:
Copyright 2010 Elsevier B.V., All rights reserved.
PY - 2010/1
Y1 - 2010/1
N2 - Psychological adjustment after a major burn injury is a significant concern to providers and patients alike. Although efforts have been made to identify associated risk factors, little is known about heterogeneity in the levels or trajectories of adjustment in this population. This study used a novel application of Growth Mixture Modeling to identify subgroups of patients based on their longitudinal self-reported distress using the Brief Symptom Inventory (BSI). Data were drawn from the database of the Burn Model Systems project, a prospective, multisite, cohort study of major burn injury survivors. The BSI was used to assess symptoms in-hospital and at 6, 12, and 24 months postburn. Participants' T scores on the BSIs Global Severity Index provided a continuous measure of psychological distress. Analyses were conducted using participants' Global Severity Index T scores to discern distinct classes of respondents with similar trajectories across the 2-year follow-up. Results from the Growth Mixture Modeling analysis produced an ordered four-class model of psychological recovery from a major burn. Groups represented the equivalent of high, subthreshold, mild, and minimal symptom severity. Covariates significantly affected the intercept and slope of each class, as well as prediction of group assignment. These analyses demonstrate differences between individual recoveries after a major burn. Psychological distress symptoms remain largely stable over time and highlight the psychological vulnerability of this patient population.
AB - Psychological adjustment after a major burn injury is a significant concern to providers and patients alike. Although efforts have been made to identify associated risk factors, little is known about heterogeneity in the levels or trajectories of adjustment in this population. This study used a novel application of Growth Mixture Modeling to identify subgroups of patients based on their longitudinal self-reported distress using the Brief Symptom Inventory (BSI). Data were drawn from the database of the Burn Model Systems project, a prospective, multisite, cohort study of major burn injury survivors. The BSI was used to assess symptoms in-hospital and at 6, 12, and 24 months postburn. Participants' T scores on the BSIs Global Severity Index provided a continuous measure of psychological distress. Analyses were conducted using participants' Global Severity Index T scores to discern distinct classes of respondents with similar trajectories across the 2-year follow-up. Results from the Growth Mixture Modeling analysis produced an ordered four-class model of psychological recovery from a major burn. Groups represented the equivalent of high, subthreshold, mild, and minimal symptom severity. Covariates significantly affected the intercept and slope of each class, as well as prediction of group assignment. These analyses demonstrate differences between individual recoveries after a major burn. Psychological distress symptoms remain largely stable over time and highlight the psychological vulnerability of this patient population.
UR - http://www.scopus.com/inward/record.url?scp=75649139816&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=75649139816&partnerID=8YFLogxK
U2 - 10.1097/BCR.0b013e3181cb8ee6
DO - 10.1097/BCR.0b013e3181cb8ee6
M3 - Article
C2 - 20061839
AN - SCOPUS:75649139816
SN - 1559-047X
VL - 31
SP - 64
EP - 72
JO - Journal of Burn Care and Research
JF - Journal of Burn Care and Research
IS - 1
ER -