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Safety 2018, 4(3), 35; https://doi.org/10.3390/safety4030035

Using Community Detection Analysis to Elucidate Caregivers’ Mental Models of Pediatric Concussion Symptoms

Department of Psychology, The University of Alabama at Birmingham, 1720 2nd Avenue South, Birmingham, AL 35294, USA
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Received: 6 July 2018 / Revised: 13 August 2018 / Accepted: 16 August 2018 / Published: 21 August 2018
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Abstract

Due to a culture of resistance around concussion reporting, novel methods are needed to reveal implicit beliefs that could affect symptom reporting. The goal of this study was to elucidate caregivers’ mental models of pediatric concussion symptoms using an exploratory community detection analysis (CDA). Caregivers (n = 76) of adolescents 10–15 years old participated in a survey that assessed their intentions of seeking medical treatment for 12 injury symptoms following their child’s involvement in three hypothetical injury scenarios. We used a series of analyses of variance (ANOVAs) to compare injury symptoms across these scenarios and CDA to determine if caregivers implicitly group symptoms together. We then used logistic regressions to further explore associations between the CDA-identified symptom indices and known factors of injury risk. There were no differences in the likelihood to seek treatment for symptoms across injury scenarios; however, the CDA revealed distinct symptom clusters that were characterized by the degree of risk for non-treatment and symptom type. We observed associations between injury risk factors and intentions of seeking medical treatment for the higher-risk indices. Results indicate that caregivers’ mental models of concussion symptoms are nuanced, not monolithic. Therefore, it is inaccurate to measure intentions to seek treatment for concussion without taking these nuances into consideration. View Full-Text
Keywords: concussion; clustering analysis; mental models; adolescence; injury; health concussion; clustering analysis; mental models; adolescence; injury; health
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Goodman, E.; Boe, L.; Thye, M.; Mirman, J. Using Community Detection Analysis to Elucidate Caregivers’ Mental Models of Pediatric Concussion Symptoms. Safety 2018, 4, 35.

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