Growth Curve Trajectories of Distress in Burn Patients

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DOI: https://doi.org/10.1097/bcr.0b013e3181cb8ee6

Abstract

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.

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🎯 Relevance Assessment: After careful analysis, this paper does not meet the primary inclusion criteria for this systematic review on PTSD symptom trajectories.

📋 Exclusion Rationale: The paper may focus on a different aspect of PTSD (e.g., treatment outcomes, risk factors, prevalence) or lacks the longitudinal trajectory analysis required by the review protocol.

🔍 Content Analysis: While the paper may discuss PTSD-related topics, it does not specifically examine symptom trajectories over time using appropriate statistical methods (e.g., growth curve modeling, latent class analysis).

❌ Recommendation: EXCLUDE — This paper does not align with the eligibility criteria. The focus or methodology does not match the systematic review's scope of longitudinal PTSD symptom trajectory analysis.

ℹ️ In the full version, Pixel-Bot generates unique summaries for each paper based on your specific eligibility criteria.

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