Development and validation of a measure of adolescent and young adult goal-based quality of life (MAYA-GQOL).

PURPOSE: We developed and validated a measure assessing quality of life (QOL) through importance, attainability, and discrepancy of life goals among adolescents and young adults (AYA) with and without cancer. A specific goal-based QOL measure for AYA fills a critical gap in knowledge for AYA who are at a unique life stage, which may include shifts in priorities and goals. METHODS: Through review of our existing AYA databases on goals, the literature, and cognitive interviews we developed the MAYA-GQOL. Items were administered to AYA with cancer (on/off treatment) (n = 124) and healthy AYA controls (n = 103) aged 15-29 years old. Psychometric analyses for comparison with existing QOL measures and discrepancies in perceived importance/attainability of goals were examined. RESULTS: An item pool of 700 goals, based on prior research, was refined to 173 goals across nine categories: academic, administrative, body, health, job, leisure, interpersonal, intrapersonal, and religion. Validation between the MAYA-GQOL and existing QOL measures was supported. AYA survivors reported fewer overall current goals and fewer administrative, interpersonal, leisure, and religious goals. AYA survivors rated body goal importance significantly higher than healthy controls and intrapersonal goal importance significantly lower. Little discrepancy in importance and attainability across AYA was found. CONCLUSIONS: The MAYA-GQOL represents an innovative way of measuring QOL among AYA by focusing on the relative importance, attainability, and discrepancy of developmentally appropriate goals. The MAYA-GQOL can identify areas of resilience and competence via assessment of important and attainable goals and can further assess how AYA with chronic illness are functioning relative to peers on goal domains relevant to the AYA developmental period.

Trajectories of Pain Severity and Interference Among Adolescent and Young Adults With Cancer: A Microlongitudinal Study.

OBJECTIVE: Cancer-related pain is a pervasive concern among adolescent and young adults (AYA) with cancer and is an emerging long-term health concern. Few studies have examined the complex contributions to pain among AYA. We aimed to fill a gap by (1) identifying subgroups of AYA with distinct patterns of pain severity and interference over time and (2) explore possible predictors of these patterns. METHODS: Daily text messages over a 9-week period were used to model group-based trajectory analyses of pain severity and interference by identifying subgroups of AYA who experience common patterns of changes in pain. Demographic, medical, physical symptom burden, and psychological distress were examined as possible predictors of these patterns. RESULTS: AYA were on average 16.93 years old and 2.5 years since diagnosis. Subgroups of AYA were identified for pain severity and interference over time: high variability (37.7%; 37.7%, respectively), consistent high pain (35.8%; 18.9%, respectively), and consistent low pain (26.4%; 43.4%, respectively). AYA with greater psychological distress were more likely to belong to the high consistent pain severity and interference groups. AYA with greater physical symptoms were more likely to belong to the high consistent pain interference group. No significant associations between demographic/medical characteristics and trajectory subgroups were found. CONCLUSIONS: AYA with elevated physical and psychological symptoms were more likely to experience high consistent pain severity and pain interreference over time. Interventions aimed at reducing pain through focusing on teaching AYA how to alleviate physical symptoms and teaching coping skills to manage psychological distress may be beneficial.

Sociodemographics, Health Competence, and Transition Readiness Among Adolescent/Young Adult Cancer Survivors.

OBJECTIVE: Fewer than one-third of childhood cancer survivors receive follow-up from an adult provider, and adolescent and young adults (AYAs) from structurally minoritized sociodemographic groups often face health disparities that can impact transition to adult-oriented care. The primary aim of this study was to determine the relation among sociodemographic factors, cumulative effects, and transition beliefs/expectations and goals, and the moderating role of health competence beliefs in AYA survivors of childhood cancer. METHODS: A total of 195 AYAs (aged 15-29) reported sociodemographic information, completed the Transition Readiness Inventory assessing positive beliefs/expectations and goals related to transition, and completed the Health Competence Beliefs Inventory assessing health perceptions, healthcare satisfaction, cognitive competence, and autonomy. A cumulative sociodemographic factor variable was computed to investigate the potential additive effects of multiple sociodemographic factors associated with disparities. T-tests, Pearson correlations, and multivariate linear regressions were used. RESULTS: Cumulative sociodemographic factors were not related to transition readiness, and insurance type was the only factor associated with health competence beliefs and transition readiness, such that AYAs with public insurance reported lower healthcare satisfaction, cognitive competence, and transition goals relative to those with private insurance. There were no interaction effects; however, health competence beliefs were significantly associated with transition beliefs/expectations and goals. CONCLUSION: Public insurance is a barrier to holding positive beliefs/expectations and goals about transition, yet other sociodemographic factors associated with risks for poor transfer were not related to transition readiness. Multi-level interventions to reduce disparities and improve transition readiness should target health competence beliefs and barriers created by insurance.

Contextual Predictors of Engagement in a Tailored mHealth Intervention for Adolescent and Young Adult Cancer Survivors.

BACKGROUND: Despite the promise of mobile health (mHealth), engagement is often too low for durable health behavior change, and little is known regarding why certain individuals abandon mHealth tools. PURPOSE: Guided by a mHealth engagement framework, we evaluated contextual predictors of objective engagement with an app for adolescents and young adults (AYA) who survived cancer. METHODS: One hundred and ten AYA survivors (M age = 20.5, 43% female, 30% racial/ethnic minority) were randomized to receive a disease self-management app that delivered 1-2 tailored messages/day for 16 weeks, and contained a survivorship care plan (SCP). Demographic, disease, psychosocial, and setting characteristics were examined as predictors of three objective engagement outcomes: (a) % of active app days, (b) % of messages read, and (c) viewed SCP in the app versus not. A subsample (n = 10) completed qualitative interviews to further assess engagement barriers. RESULTS: Self-reported uninterrupted app access (ß = -0.56, p < .001), iPhone (vs. Android) ownership (ß = 0.30, p < .001), and receiving the intervention in the summer (ß = -0.20, p = .01) predicted more active days. Lower depressed mood (ß = -0.30, p = .047) and uninterrupted app access (ß = -0.50, p < .001) predicted more messages read. Qualitatively, technical glitches and competing priorities were described as engagement barriers, whereas certain types of messages (e.g., health goal messages) were perceived as engaging. Among participants who had uninterrupted app access (n = 76), higher baseline motivation to change, better health perceptions, using the app during the summer, and iPhone ownership predicted higher engagement. CONCLUSIONS: Findings demonstrate the importance of comprehensively assessing and planning for multi-level ecological determinants of mHealth engagement in future trials. CLINICALTRIALS.GOV IDENTIFIER: NCT03363711.

Acceptability and feasibility of survivorship care plans and an accompanying mobile health intervention for adolescent and young adult survivors of childhood cancer.

BACKGROUND: Self-management interventions for adolescent and young adult (AYA) survivors of childhood cancer are needed. The present study reports on the acceptability and feasibility of delivering survivorship care plans (SCPs) and an accompanying app to AYA. PROCEDURE: AYA (n = 224) ages 15-29 who completed treatment for cancer were randomized and received a digital SCP only or an SCP plus a mobile app intended to enhance self-management. For 16 weeks, the app delivered one to two daily messages complementing information in their SCP and tailored based on age, treatment, and health goal. Data are presented on feasibility, self-reported acceptability (including satisfaction and perceived benefits) and its relationship to app engagement (for those in app group), and feedback from qualitative interviews conducted with 10 AYA. RESULTS: The SCP and app proved feasible as evidenced by high recruitment and retention, access to technology, time analysis, moderate app engagement, and minimal technical issues. However, 12% reported never reading the SCP and 8% never used the app. The app and SCP were acceptable to AYA, and SCP acceptability ratings did not differ between groups. For those with the app, acceptability was positively related to message engagement. AYA recommended enhanced individualization and design features of the SCP and app. CONCLUSIONS: Results support the use of tailored SCPs and mobile health interventions for most AYA, as well as the need for further refinement and research. Delivery of SCPs and digital interventions are acceptable and feasible to AYA survivors, and may help promote health-related knowledge and survivorship self-management.

Iterative Development of a Tailored mHealth Intervention for Adolescent and Young Adult Survivors of Childhood Cancer.

Objectives: Methods for developing mobile health (mHealth) interventions are not well described. To guide the development of future mHealth interventions, we describe the application of the agile science framework to iteratively develop a mHealth intervention for adolescent and young adult (AYA) survivors of childhood cancer. Methods: We created the AYA STEPS mobile app (AYA Self-management via Texting, Education, and Plans for Survivorship) by modifying and integrating two existing programs: an online survivorship care plan (SCP) generator and a text messaging self-management intervention for AYA off treatment. The iterative development process involved three stages of agile science: 1) Formative work, 2) Obtaining feedback about the first AYA STEPS prototype, and 3) Pilot testing and finalization of a prototype. We determined preferences of AYA stakeholders as well as discovered and addressed technology problems prior to beginning a subsequent randomized controlled trial. Results: AYA survivors reported that the app and the embedded tailored messages related to their health and SCP, were easy to use and generally satisfying and beneficial. Usage data supported that AYA were engaged in the app. Technology glitches were discovered in the pilot and addressed. Conclusions: The iterative development of AYA STEPS was essential for creating a consistent and acceptable end user experience. This study serves as one example of how behavioral scientists may apply agile science to their own mHealth research.

An open resource for transdiagnostic research in pediatric mental health and learning disorders.

Technological and methodological innovations are equipping researchers with unprecedented capabilities for detecting and characterizing pathologic processes in the developing human brain. As a result, ambitions to achieve clinically useful tools to assist in the diagnosis and management of mental health and learning disorders are gaining momentum. To this end, it is critical to accrue large-scale multimodal datasets that capture a broad range of commonly encountered clinical psychopathology. The Child Mind Institute has launched the Healthy Brain Network (HBN), an ongoing initiative focused on creating and sharing a biobank of data from 10,000 New York area participants (ages 5-21). The HBN Biobank houses data about psychiatric, behavioral, cognitive, and lifestyle phenotypes, as well as multimodal brain imaging (resting and naturalistic viewing fMRI, diffusion MRI, morphometric MRI), electroencephalography, eye-tracking, voice and video recordings, genetics and actigraphy. Here, we present the rationale, design and implementation of HBN protocols. We describe the first data release (n=664) and the potential of the biobank to advance related areas (e.g., biophysical modeling, voice analysis).

Five steps for sustaining effective patient partnership working.

NHS organisations are to recruit and involve patients in planning and delivering health care services. This paper gives practical examples of recruiting and involving patients in this process and a 'five-step cycle' for sustaining effective partnership working between patients and NHS organisations.

Patients accelerating change.

FOR THE PAST 18 months or so, teams at several acute NHS trusts across England have been taking part in Patients Accelerating Change (PAC), a programme that builds on the results of the Healthcare Commission's national patient surveys to deliver health care benefits.