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Integration of e-Health technologies for purposes of both assessment and intervention has recently become an interest area in pediatric psychology. The purpose of this study is to present psychometric characteristics of a technology-based (i.e., tablet administration) approach for measuring quality of life (QOL) in children. Eighty children (8-12 years) completed the Quality of Life Systemic Inventory for Children (QLSI-C) twice over a 2-week delay, in a crossover design that used paper and tablet-based modes of administration. Equivalence of scores across methods was examined using intraclass correlation coefficients (ICC), augmented by paired t test and Pearson's correlations. Test-retest reliability was assessed using paired t test and Pearson's correlations while internal consistency was assessed using Cronbach's coefficient. Results showed a good concordance across methods of administration (ICCs = .72 to .91; r = .56 to .83). Paired t test showed no significant differences between the tablet and paper version of the QLSI-C. Internal consistency reliability yielded acceptable Cronbach's alphas for all QLSI-C scores, with all α > .70. Test-retest reliability for the tablet-administered QLSI-C was good (r = .66 to .90). Paired t test showed no significant difference between Time 1 and 2 for the QLSI-C scores, except for the state score. Findings established the reliability of the tablet-administered QLSI-C scores. This technology approach to assessment is more attractive for children, decreases time for administration, and enhances the ease of scoring. These advantages might encourage both clinicians and researchers to consider using e-Health developments in assessment in pediatric psychology. (PsycINFO Database Record, ((c) 2016 APA, all rights reserved).)

This study assesses quality of life (Qol) in children with cancer history as well as Qol of their parents and examines the relationship between parental adjustment and children Qol. Two groups were formed: an experimental group composed by children with cancer antecedents and their parents and a control group with healthy children and their parents. Children have filled a questionnaire about their Qol. Parents have completed questionnaires about their coping, their illness perceptions, their parenting stress and their Qol. The results show that Qol was satisfactory and similar in both groups. Significant correlations were found between parental illness representations (threat and personal control) and children Qol as well as between coping strategies based on maintaining family cohesion and children Qol. This study highlights the need to assess the adjustment of parents after child cancer and to develop interventions targeting parental representations and coping strategies.