Predicting Participation in a Post-disaster Mental Health Program

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Crompton, David
Kohleis, Peter
Shakespeare-Finch, Jane
FitzGerald, Gerard
Young, Ross
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2024
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Abstract

OBJECTIVES: A retrospective naturalistic evaluation was undertaken to identify if pre- and post-disaster factors may predict the likelihood of those considered "at risk" of post-traumatic stress disorder (PTSD) entering a post-disaster clinical treatment program. METHODS: The intake data of 881 people referred to the program following the Queensland (Australia) natural disasters of 2010-11 was evaluated. Those referred scored >2 on the Primary Care PTSD scale. Assessment included the disaster exposure experience, demographic and clinical information, and measures of coping and resilience. Descriptive analyses and a Classification Tree Analysis (CTA) were undertaken to ascertain which factors may predict treatment participation. RESULTS: The treatment group (TG) in comparison to the non-treatment group (NTG) were more likely to perceive their life was threatened (85.1% vs 8.1%), less able to cope (67% vs 25.8%) and less resilient (4.2% vs 87.5%). The CTA using all the assessment variables found the Connor-Davidson (2-item scale) (P < 0.001), degree of property damage (P < 0.001), financial losses (P < 0.001), perception their life was threatened (P < 0.001) and insurance claims (P < 0.003) distinguished the TG from the NTG. CONCLUSIONS: The study identified factors that distinguished the TG from the NTG and predicted the likelihood of participation in a post-disaster mental health treatment.

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Disaster Medicine and Public Health Preparedness

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18

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© The Author(s), 2024. Published by Cambridge University Press on behalf of Society for Disaster Medicine and Public Health, Inc. This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.

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Epidemiology

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Public health

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Crompton, D; Kohleis, P; Shakespeare-Finch, J; FitzGerald, G; Young, R, Predicting Participation in a Post-disaster Mental Health Program, Disaster Medicine and Public Health Preparedness, 2024, 18, pp. e271

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