Skip to Main Content
Frequently Asked Questions
Submit an ETD
Global Search Box
Need Help?
Keyword Search
Participating Institutions
Advanced Search
School Logo
Files
File List
ucin1337101388.pdf (636.21 KB)
ETD Abstract Container
Abstract Header
Neurocognitive and socio-demographic predictors of responsiveness to an online intervention for adolescents with TBI
Author Info
Karver, Christine L.
Permalink:
http://rave.ohiolink.edu/etdc/view?acc_num=ucin1337101388
Abstract Details
Year and Degree
2012, MA, University of Cincinnati, Arts and Sciences: Psychology.
Abstract
Adolescents who suffer a brain injury often have difficulty functioning in everyday settings such as school, home, and community, in part because of poor problem-solving skills. However, research on interventions and their efficacy in addressing these issues is lacking. For the current study, we examined neurocognitive and socio-demographic predictors of response to an online problem-solving intervention for adolescents with traumatic brain injury (TBI). In doing so, we aimed to identify adolescents who are most likely to benefit from this intervention, with the larger goal of being able to better tailor treatments to the individual. Adolescents who sustained a complicated mild to severe TBI and their families (N = 132) were randomly assigned to Counselor Assisted Problem Solving (CAPS), a 6-month web-based, family-centered intervention that focused on problem solving, communication, and self regulation (n = 66), or to an Internet Resource Comparison group (IRC; n = 66), a group that received a self-guided, information-based program with in-home internet access. Prior to the intervention, measures were administered to assess the behavioral functioning and neurocognitive abilities of the teen in respect to intelligence, verbal memory, and processing speed. A follow-up assessment that included the same behavioral measures was administered six months later. Linear regression was used to test the hypothesis that neurocognitive and socio-demographic factors would predict the degree of behavioral improvement associated with CAPS. Specifically, we hypothesized that lower socio-demographic status and lower neurocognitive functioning would be associated with the greatest decrease in behavioral problems following the CAPS intervention. Hypotheses were partially supported as an interaction was found among group and median family income with the Meta-Cognitive Index from the Behavior Rating Inventory of Executive Functions (BRIEF) as the dependent variable. For this interaction, lower income was associated with the greatest decrease in behavior problems following the CAPS intervention. Additionally, a significant interaction among group and verbal intelligence was found; our hypothesis was again confirmed as lower verbal intelligence was associated with the greatest level of post-interventions behavioral improvement. By understanding factors that predict responsiveness to intervention post-TBI, clinicians will be better able to tailor treatments to the individual, thus improving the efficacy of interventions.
Committee
Chung-Yiu Chiu, PhD (Committee Chair)
Rachel Kallen, PhD (Committee Member)
Shari Wade, PhD (Committee Member)
Sarah Whitton, PhD (Committee Member)
Pages
79 p.
Subject Headings
Behavioral Sciences
Keywords
traumatic brain injury
;
pediatric psychology
;
online therapy
;
rehabilitation
;
cognitive behavioral interventions
;
;
Recommended Citations
Refworks
EndNote
RIS
Mendeley
Citations
Karver, C. L. (2012).
Neurocognitive and socio-demographic predictors of responsiveness to an online intervention for adolescents with TBI
[Master's thesis, University of Cincinnati]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1337101388
APA Style (7th edition)
Karver, Christine.
Neurocognitive and socio-demographic predictors of responsiveness to an online intervention for adolescents with TBI.
2012. University of Cincinnati, Master's thesis.
OhioLINK Electronic Theses and Dissertations Center
, http://rave.ohiolink.edu/etdc/view?acc_num=ucin1337101388.
MLA Style (8th edition)
Karver, Christine. "Neurocognitive and socio-demographic predictors of responsiveness to an online intervention for adolescents with TBI." Master's thesis, University of Cincinnati, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1337101388
Chicago Manual of Style (17th edition)
Abstract Footer
Document number:
ucin1337101388
Download Count:
444
Copyright Info
© 2012, all rights reserved.
This open access ETD is published by University of Cincinnati and OhioLINK.