Development and field testing of Teen Pocket PATH®, a mobile health application to improve medication adherence in adolescent solid organ recipients

Applying principles of user‐centered design, we iteratively developed and tested the prototype of TPP, an mHealth application to promote medication adherence and enhance communication about medication management between adolescents and primary caregivers. A purposive sample of seven adolescent solid organ transplant recipients who were ≥one yr post‐transplant and their primary caregivers participated. Participants completed up to three face‐to‐face laboratory usability sessions, a 6‐week field test, and a debriefing session. Primary caregivers participated in an additional usability telephone session. Participants completed usability and satisfaction measures. Sample included liver (n = 4), heart (n = 2), and lung (n = 1) recipients aged 11–18 yr (57% were female, 86% were Caucasian), and nine primary caregivers aged 42–61 yr (88.9% were parents, 88% were female, 88% were Caucasian). Ninety percent of the adolescents endorsed the graphs or logs of missed/late medication dosing as useful and 100% endorsed the remaining features (e.g., medication list, dose time reminders/warnings) as useful. All adolescents expressed interest in using TPP for monitoring medications and satisfaction with the automatic messaging between adolescent and caregiver versions of the application. Adolescents unanimously found TPP easy to use. TPP shows promise as an mHealth adherence tool.     

The genetic diversity of Epstein–Barr virus in the setting of transplantation relative to non‐transplant settings: A feasibility study

This study examines EBV strains from transplant patients and patients with IM by sequencing major EBV genes. We also used NGS to detect EBV DNA within total genomic DNA, and to evaluate its genetic variation. Sanger sequencing of major EBV genes was used to compare SNVs from samples taken from transplant patients vs. patients with IM. We sequenced EBV DNA from a healthy EBV‐seropositive individual on a HiSeq 2000 instrument. Data were mapped to the EBV reference genomes (AG876 and B95‐8). The number of EBNA2 SNVs was higher than for EBNA1 and the other genes sequenced within comparable reference coordinates. For EBNA2, there was a median of 15 SNV among transplant samples compared with 10 among IM samples (p = 0.036). EBNA1 showed little variation between samples. For NGS, we identified 640 and 892 variants at an unadjusted p value of 5 × 10^?8 for AG876 and B95‐8 genomes, respectively. We used complementary sequence strategies to examine EBV genetic diversity and its application to transplantation. The results provide the framework for further characterization of EBV strains and related outcomes after organ transplantation.     

Health‐related correlates of psychological well‐being among girls and boys 6–8 years of age: The Physical Activity and Nutrition in Children study

Aim

Due to limited knowledge on the differences in the correlates of psychological well‐being (PSWB) between girls and boys, we compared the correlates of PSWB between primary school girls and boys.

Methods

A population sample of 412 children participated in the Physical Activity and Nutrition in Children study. Parents completed a questionnaire that included 19 questions on the components of PSWB, and a PSWB score was computed. We assessed correlates of PSWB, including physical activity, sedentary behaviour, cardiorespiratory fitness, diet quality, body fat content, sleep duration, sleep disordered breathing, prevalent diseases and parental characteristics. We used logistic regression to analyse the risk of being in the lowest third of the PSWB scores.

Results

Low parental education was associated with increased risk (odds ratio (OR) 2.34, P = 0.039) and high cardiorespiratory fitness with decreased risk (OR 0.26, P = 0.006) of poor PSWB in girls. At least 2 h of screen‐based sedentary behaviour per day (OR 1.93, P = 0.037), daily parental smoking (OR 2.10, P = 0.034) and sleep disordered breathing (OR 4.24, P = 0.003) were related to increased risk of poor PSWB in boys.

Conclusions

There are large differences in the correlates of PSWB between girls and boys. Most of these correlates are modifiable and related to the health behaviour of children and their parents.