Barriers to medication adherence among adolescents and young adults with cancer.

BACKGROUND: Adherence promotion is a critical component of adolescent and young adult (AYA) cancer care, but predictors of nonadherence that could be targeted in intervention efforts remain largely unknown. The purpose of this multi-site longitudinal observational study was to examine the relationship between barriers and medication adherence among AYAs with cancer. PROCEDURE: Sixty-five AYAs (ages 15-24 years; mean age = 18.97 years, SD = 2.51; Mmean time since diagnosis = 1.42 years, SD = 1.95) with newly diagnosed or relapsed cancer completed self-report measures of barriers and adherence at quarterly study visits and used an electronic adherence monitoring device for 12 months. Longitudinal mixed effects models were used to examine our primary hypothesis that greater barriers are related to lower adherence over time. Descriptive statistics were used to explore our secondary aim of describing the frequency and patterns of barriers endorsed by AYAs with cancer. RESULTS: After controlling for covariates (time, medication type, race, ethnicity, diagnosis, time since diagnosis), a greater number of barriers was associated with lower electronically monitored (ß = -5.99, p = .005) and self-reported (ß = -1.92, p < .001) adherence. The specific barriers endorsed by AYAs differed across participants, and the majority of AYAs endorsed an entirely different pattern of barriers than any other AYA in the study. CONCLUSION: Barriers are associated with nonadherence and may be a promising target for intervention. Individual variability across barriers, however, suggests that tailoring may be necessary, and a promising next step is to explore personalized approaches to adherence promotion.

Systematic Evaluation of the Behavior Change Techniques and Quality of Commercially Available Cancer Self-Management Apps.

PURPOSE: Apps have the potential to aid in cancer self-management, but there is limited guidance available for selecting among currently available options. The purpose of this study is to evaluate the behavior change techniques (BCTs) and quality of publicly available cancer self-management apps. METHODS: Cancer self-management apps were identified from the Apple and Google Play stores in April 2022. Trained study team members coded the BCTs included in each app and rated its quality using the Mobile App Rating Scale (MARS). BCTs supported by previous literature were coded as cancer management BCTs. RESULTS: The 39 apps meeting inclusion criteria included an average of 5.85 BCTs (standard deviation [SD], 3.49; range, 0-15) and 3.54 cancer management BCTs (SD, 1.90; range, 0-8). The most commonly included BCTs were educational or informational strategies: provide information about behavior-health link, provide instruction, and provide information on consequences. The overall app quality ranged from 1.69 to 4.20 (M, 3.29; SD, 0.67). CONCLUSION: No cancer self-management apps were of excellent quality, and less than half included multiple cancer management BCTs beyond education. Clinical implications are discussed, and opportunities to improve the content and quality of apps to address the critical self-management needs of patients diagnosed with cancer are highlighted.

Systematic Review of Substance Use Measurement Tools in Adolescent and Young Adult Childhood Cancer Survivors.

Substance use among adolescents and young adults (AYAs) is associated with an increased risk of poor physical and mental health outcomes. For AYA childhood cancer survivors (CCSs), substance use may also increase their likelihood of experiencing late effects. As a result, professional organizations recommend that AYA CCSs be regularly screened for risk behaviors, including substance use. The best methods for assessing these behaviors as part of clinical care for AYA CCSs, however, remain unclear. To begin to address this gap, the purpose of this study was to systematically review written substance use measures that have been used with AYA CCSs and published between 2000 and 2020. A search of PubMed, PsycINFO, and CINAHL using terms related to substance use and AYA CCSs identified 47 articles representing 20 different written substance use measures that evaluated current substance use (i.e., use of alcohol, tobacco, marijuana, prescription medications taken in a manner other than as prescribed, and/or other illicit substances within the 12 months). Measures varied in domains assessed, item formats, and response formats. Results are presented alongside recommendations for selecting screening tools for use with AYA CCS populations in both clinical and research settings.