Background: Quality of life (QoL) is considered a key treatment outcome in bipolar disorder (BD) across research, clinical, and self-management contexts. Web-based assessment of patient-reported outcomes offer numerous pragmatic benefits but require validation to ensure measurement equivalency. A web-based version of the Quality of Life in Bipolar Disorder (QoL.BD) questionnaire was developed (QoL Tool). Objective: This study aimed to evaluate the psychometric properties of a web-based QoL self-report questionnaire for BD (QoL Tool). Key aims were to (1) characterize the QoL of the sample using the QoL Tool, (2) evaluate the internal consistency of the web-based measure, and (3) determine whether the factor structure of the original version of the QoL.BD instrument was replicated in the web-based instrument. Methods: Community-based participatory research methods were used to inform the development of a web-based adaptation of the QoL.BD instrument. Individuals with BD who registered for an account with the QoL Tool were able to opt in to sharing their data for research purposes. The distribution of scores and internal consistency estimates, as indicated by Cronbach alpha, were inspected. An exploratory factor analysis using maximum likelihood and oblique rotation was conducted. Inspection of the scree plot, eigenvalues, and minimum average partial correlation were used to determine the optimal factor structure to extract. Results: A total of 498 people with BD (349/498, 70.1% female; mean age 39.64, SD 12.54 years; 181/498, 36.3% BD type I; 195/498, 39.2% BD type II) consented to sharing their QoL Tool data for the present study. Mean scores across the 14 QoL Tool domains were, in general, significantly lower than that of the original QoL.BD validation sample. Reliability estimates for QoL Tool domains were comparable with that observed for the QoL.BD instrument (Cronbach alpha=.70-.93). Exploratory factor analysis supported the extraction of an 11-factor model, with item loadings consistent with the factor structure suggested by the original study. Findings for the sleep and physical domains differed from the original study, with this analysis suggesting one shared latent construct. Conclusions: The psychometric properties of the web-based QoL Tool are largely concordant with the original pen-and-paper QoL.BD, although some minor differences in the structure of the sleep and physical domains were observed. Despite this small variation from the factor structure identified in the QoL.BD instrument, the latent factor structure of the QoL Tool largely reproduced the original findings and theoretical structure of QoL areas relevant to people with BD. These findings underscore the research and clinical utility of this instrument, but further comparison of the psychometric properties of the QoL Tool relative to the QoL.BD instrument is warranted. Future adaptations of the QoL Tool, including the production of an app-based version of the QoL Tool, are also discussed.

There is a growing focus on describing both negative and positive outcomes in the wake of childhood cancer. The purpose of this study was to describe and explore the relationships between posttraumatic stress symptoms (PTSS) and posttraumatic growth (PTG) among children living beyond cancer and one of their parents. As part of a larger online survey, 113 children (M_age at time of study = 15.82 (SD = 4.81); M_age at diagnosis = 5.86 (SD = 4.66)) and one of their parents completed questionnaires assessing PTSS and PTG. Descriptive statistics were used to describe the sample and levels of PTSS and PTG. Data were z-transformed and analyzed using bivariate correlations and t-tests. An actor–partner interdependence model (APIM) was used to test whether children’s and their parents’ PTSS was associated with their own PTG (actor effect) and the others’ PTG (partner effect). PTSS was low and PTG was moderate in this sample relative to scale ranges. There were no significant differences between the children’s and their parents’ PTSS (p = 0.535) or PTG (p = 0.534). Results from the APIM showed no significant actor effects (p = 0.185). A significant overall partner effect (p = 0.020) emerged. Lower PTSS for children was associated with greater PTG for their parents (b = −0.29, p = 0.018), but parent’s PTSS was not associated with children’s PTG (p = 0.434). This sample reported similar levels of PTSS and PTG to that which has been reported in the literature. Children and their parents’ scores on PTSS and PTG measures were not significantly different from one another. Children’s PTSS was negatively associated with their parents PTG, illuminating the ways in which PTSS and PTG may be related in the context of childhood cancer. Exploring family-based strategies to reduce PTSS and enhance PTG may be warranted, though further studies are required.

Background: Survivors of childhood cancer are at risk of medical, psychological, and social late effects. To screen for their risks, receipt of consistent, cancer-specific follow-up care is crucial. However, <50% of survivors attend their aftercare, and only 35% of them recognize that they could have a serious health problem. The use of mobile health (mHealth) is a promising form of intervention to educate, connect, and empower survivors of childhood cancer on the importance of follow-up care. Objective: This study aimed to use co-design to identify the priority components to include in an mHealth intervention with young adult (aged between 18 and 39 years) survivors of childhood cancer and health care providers. Methods: This study was conducted between January and November 2022 in Canada and used patient-oriented research methods. Participants were recruited through local or provincial long-term follow-up clinics, using convenience sampling from patient partners who assisted in recruiting survivors across geographical areas in western, central, and eastern Canada, and social media outreach (X, formally known as Twitter; Facebook; and Instagram). Qualitative descriptive data (focus group interviews) from survivors of childhood cancer and health care providers (individual interviews) were gathered. We analyzed the collected data using reflexive thematic analysis and verified it through member checking techniques through an online community engagement event. Results: We conducted with patient partners 5 online (Zoom) focus groups with 22 survivors of childhood cancer (mean age 29.19, SD 4.78 y). We conducted individual telephone interviews with 7 health care providers. Participants identified five priority areas to be included in an mHealth intervention: (1) connections, (2) education and information, (3) engagement, (4) personalization, and (5) resources. Results were shared with and validated by survivors of childhood cancer, their families, health care providers, and academic researchers as part of a community engagement event. Small and large group discussions were facilitated to allow participants to review and discuss the accuracy of the themes derived regarding the core components to be included in mHealth. A graphic recording artist visually captured key ideas from the event. A subset of the participants also completed a web-based satisfaction survey, and responses indicated that the community engagement event was generally well received. Conclusions: Results from this study have provided the necessary foundation to progress in intervention development. The next step of this multiphased project is to build an innovative and accessible mHealth intervention prototype that is based on the identified core components and is grounded in an established conceptual framework for co-design of mHealth.

(1) Background: The COVID-19 global pandemic has impacted people worldwide with unique implications for vulnerable groups. In this cross-sectional study, we examined the impact of the early pandemic on children undergoing active cancer treatment and their parents. (2) Methods: In May 2020, 30 parents of children undergoing active cancer treatment completed an online survey regarding the impact of COVID-19 on their child’s cancer care, perceived utility of telemedicine, and child and parent mental health status. (3) Results: Most participants (87%) reported that they did not experience any changes to major cancer treatments. Among those who reported using telemedicine, 78% reported this to be beneficial. Over half of the participants reported that their child’s mental health status was worse now than prior to the COVID-19 global pandemic. Parent-reported child anxiety scores were significantly higher for those who reported changes to mental health care for their child compared to those who did not report the same, t(25.99) = −3.04, p = 0.005. (4) Conclusion: Child and parent mental health status were affected when compared to pre-pandemic. Telemedicine appears to be a promising complement to face-to-face meetings for some families and warrants further exploration.

The psychosocial outcomes of adolescents and young adults (AYAs) diagnosed with cancer are poorer compared to their peers without cancer. However, AYAs with cancer from diverse racial and ethnic groups have been under-represented in research, which contributes to an incomplete understanding of the psychosocial outcomes of all AYAs with cancer. This paper evaluated the racial and ethnic representation in research on AYAs diagnosed with cancer using observational, cross-sectional data from the large Young Adults with Cancer in Their Prime (YACPRIME) study. The purpose was to better understand the psychosocial outcomes for those from diverse racial and ethnic groups. A total of 622 participants with a mean age of 34.15 years completed an online survey, including measures of post-traumatic growth, quality of life, psychological distress, and social support. Of this sample, 2% (n = 13) of the participants self-identified as Indigenous, 3% (n = 21) as Asian, 3% (n = 20) as “other,” 4% (n = 25) as multi-racial, and 87% (n = 543) as White. A one-way ANOVA indicated a statistically significant difference between racial and ethnic groups in relation to spiritual change, a subscale of post-traumatic growth, F(4,548) = 6.02, p < 0.001. Post hoc analyses showed that those under the “other” category endorsed greater levels of spiritual change than those who identified as multi-racial (p < 0.001, 95% CI = [2.49,7.09]) and those who identified as White (p < 0.001, 95% CI = [1.60,5.04]). Similarly, participants that identified as Indigenous endorsed greater levels of spiritual change than those that identified as White (p = 0.03, 95% CI = [1.16,4.08]) and those that identified as multi-racial (p = 0.005, 95% CI = [1.10,6.07]). We provided an extensive discussion on the challenges and limitations of interpreting these findings, given the unequal and small sample sizes across groups. We concluded by outlining key recommendations for researchers to move towards greater equity, inclusivity, and culturally responsiveness in future work.

Background: Aims were to: (1) compare social status among AYAs diagnosed with cancer to a community population; (2) describe AYAs’ change in employment/education status; and (3) examine predictors of social status. Method: Social status (i.e., education, employment, relationship status, and living arrangement) was captured from young adults diagnosed with cancer recruited via social media through a community-based organization from across Canada and randomly matched to a community sample by sex, age, province of residence, total household income and race/ethnicity at a ratio of 1:3. Results: AYAs with cancer (N = 622) were an average of 4.45 (SD = 5.42) years from the completion of treatment and were less likely to be employed (χ² = 96.35, p < 0.001) and more likely to be living at home with parents (χ² = 17.00, p < 0.001). There were no differences in education or relationship status. Overall, 41% and 45% of AYAs reported quitting school or work, respectively. Non-metastatic disease (AOR 3.23, 95% CI 1.08–9.62), and better physical (AOR 1.07 95% CI 1.04–1.10) and mental quality of life (QOL)(AOR 1.06 95% CI 1.03–1.09), were associated with employment. Worse mental QOL (AOR 1.04 95% CI 1.01–1.07), less post-traumatic growth (AOR 1.01 95% CI 1.00–1.03), and social support (AOR 0.27, 95% CI 0.18–0.41) were associated with being single. Non-White race (AOR 3.19 95% CI 1.02–9.97) and less post-traumatic growth (AOR 0.97 95% CI 0.95–0.99) were associated with living with parents. Conclusions: AYAs diagnosed with cancer experience differences in attainment of employment and independent living compared to a community sample. These challenges may have implications for physical and mental QOL.