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Objective: Examine the influence of household income on health‐related quality of life (HRQOL) among children with newly diagnosed acute myeloid leukemia (AML). Design: Secondary analysis of data prospectively collected from pediatric patients receiving treatment for AML at 14 hospitals across the United States. Exposure: Household income was self‐reported on a demographic survey. The examined mediators included the acuity of presentation and treatment toxicity. Outcome: Caregiver proxy reported assessment of patient HRQOL from the Peds QL 4.0 survey. Result: Children with AML (n = 131) and caregivers were prospectively enrolled to complete PedsQL assessments. HRQOL scores were better for patients in the lowest versus highest income category (mean ± SD: 76.0 ± 14 household income <$25,000 vs. 59.9 ± 17 income ≥$75,000; adjusted mean difference: 11.2, 95% CI: 2.2–20.2). Seven percent of enrolled patients presented with high acuity (ICU‐level care in the first 72 h), and 16% had high toxicity (any ICU‐level care); there were no identifiable differences by income, refuting mediating roles in the association between income and HRQOL. Enrolled patients were less likely to be Black/African American (9.9% vs. 22.2%), more likely to be privately insured (50.4% vs. 40.7%), and more likely to have been treated on a clinical trial (26.7% vs. 18.5%) compared to eligible unenrolled patients not enrolled. Evaluations of potential selection bias on the association between income and HRQOL suggested differences in HRQOL may be smaller than observed or even in the opposing direction. Conclusions: While primary analyses suggested lower household income was associated with superior HRQOL, differential participation may have biased these results. Future studies should partner with patients/families to identify strategies for equitable participation in clinical research. [ABSTRACT FROM AUTHOR]

BackgroundSuboptimal adherence to 6-mercaptopurine (6-MP) is prevalent in pediatric acute lymphoblastic leukemia (ALL) and associated with increased risk of relapse. Rapid uptake of personal technology makes mobile health (mHealth) an attractive platform to promote adherence. ObjectiveStudy objectives were to examine access to mobile technology and preferences for an mHealth intervention to improve medication adherence in pediatric ALL. MethodsA cross-sectional survey was administered in oncology clinic to parents of children with ALL as well as adolescents and young adults (AYAs) with ALL receiving maintenance chemotherapy. ResultsA total of 49 parents (median age [IQR] 39 [33-42] years; female 76% [37/49]) and 15 patients (median age [IQR] 17 [16-19]; male 80% [12/15]) participated. All parents and AYAs owned electronic tablets, smartphones, or both. Parents’ most endorsed mHealth app features included a list of medications (71%, 35/49), information about 6-MP (71%, 35/49), refill reminders (71%, 35/49), and reminders to take 6-MP (71%, 35/49). AYAs' most endorsed features included refill reminders (73%, 11/15), reminders to take 6-MP (73%, 11/15), and tracking 6-MP (73%, 11/15). ConclusionsParents and AYAs reported ubiquitous access to mobile technology and strong interest in multiple adherence-specific mHealth app features. Parents and AYAs provided valuable insight into preferred features for a multifunctional behavioral intervention (mHealth app) to promote medication adherence in pediatric ALL.

BackgroundUnintentional medication nonadherence is common and has been associated with poor health outcomes and increased health care costs. Earlier research demonstrated a relationship between habit strength and medication adherence. Previous research also examined a habit’s direct effect on adherence and how habit interacts with more conscious factors to influence or overrule them. However, the relationship between habit and adherence and the role of habit-based mobile health (mHealth) interventions remain unclear. ObjectiveThis review aimed to systematically evaluate the most recent evidence for habit strength, medication adherence, and habit-based mHealth interventions across chronic medical conditions. MethodsA keyword search with combinations of the terms habit, habit strength, habit index, medication adherence, and medication compliance was conducted on the PubMed database. After duplicates were removed, two authors conducted independent abstract and full-text screening. The guidelines for the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) were followed when reporting evidence across the included and reviewed studies. ResultsOf the 687 records examined, 11 met the predefined inclusion criteria and were finalized for data extraction, grading, and synthesis. Most included studies (6/11, 55%) were cross-sectional and used a theoretical model (8/11, 73%). The majority of studies measured habit strength using the self-report habit index and self-report behavioral automaticity index (9/11, 82%). Habit strength was positively correlated with medication adherence in most studies (10/11, 91%). Habit mediated the effects of self-efficacy on medication adherence (1/11, 9%), and social norms moderated the effects of habit strength on medication adherence (1/11, 9%). Habit strength also moderated the effects of poor mental health symptoms and medication adherence (1/11, 9%). None of the included studies reported on using or proposing a habit-based mHealth behavioral intervention to promote medication adherence. ConclusionsHabit strength was strongly correlated with medication adherence, and stronger habit was associated with higher medication adherence rates, regardless of the theoretical model and/or guiding framework. Habit-based interventions should be used to increase medication adherence, and these interventions could leverage widely available mobile technology tools such as mobile apps or text messaging, and existing routines.

Objectives: The primary objectives were to (a) identify current published research in electronic health (eHealth) and mobile health (mHealth) interventions for youth undergoing cancer treatment and child, adolescent, and young adult survivors of childhood cancer and (b) critically appraise the current scientific evidence on their effectiveness and efficacy. As an exploratory aim, we identified pediatric cancer patients' and survivors' perceptions, attitudes, and concerns related to eHealth and mHealth interventions.Methods: A comprehensive search of the literature was performed to identify peer-reviewed journal articles that included the use of mHealth and eHealth interventions among youth receiving active cancer treatment and survivors of childhood cancer through the age range of childhood to young adulthood (mean age 21 years or younger at the time of diagnosis; mean age 39 years or younger at the time of intervention). The search was conducted via six electronic databases: PubMed, CINAHL, EMBASE, PsycINFO, IEEEXplore and the Cochrane Library.Results: Of the 1879 potential records examined, 21 met criteria for inclusion for a total of 1506 participants. Of the investigations included, 13 were randomized controlled trials, and eight were nonrandomized studies. Findings demonstrated feasibility as well as acceptability with these approaches. Evidence of efficacy for interventions targeting emotional distress, health behaviors, health outcomes, and neurocognitive functioning was mixed.Conclusions: Given the growing evidence of efficacy, coupled with increasing access to digital technologies, eHealth and mHealth may serve an important role in improving mental and physical health outcomes of youth undergoing cancer treatment and child, adolescent, and young adult survivors of childhood cancer. [ABSTRACT FROM AUTHOR]