Multilevel Social Determinants of Patient-Reported Outcomes in Young Survivors of Childhood Cancer.

In this study, the social determinants of patient-reported outcomes (PROs) in young survivors of childhood cancer aged <18 years are researched. This cross-sectional study investigated social determinants associated with poor PROs among young childhood cancer survivors. We included 293 dyads of survivors receiving treatment at St. Jude Children's Research Hospital who were <18 years of age during follow-up from 2017 to 2018 and their primary caregivers. Social determinants included family factors (caregiver-reported PROs, family dynamics) and county-level deprivation (socioeconomic status, physical environment via the County Health Rankings & Roadmaps). PROMIS measures assessed survivors' and caregivers' PROs. General linear regression tested associations of social determinants with survivors' PROs. We found that caregivers' higher anxiety was significantly associated with survivors' poorer depression, stress, fatigue, sleep issues, and reduced positive affect (p < 0.05); caregivers' sleep disturbances were significantly associated with lower mobility in survivors (p < 0.05). Family conflicts were associated with survivors' sleep problems (p < 0.05). Residing in socioeconomically deprived areas was significantly associated with survivors' poorer sleep quality (p < 0.05), while higher physical environment deprivation was associated with survivors' higher psychological stress and fatigue and lower positive affect and mobility (p < 0.05). Parental, family, and neighborhood factors are critical influences on young survivors' quality of life and well-being and represent new intervention targets.

Multilevel Characteristics of Cumulative Symptom Burden in Young Survivors of Childhood Cancer.

Importance: Symptom burden and its characteristics among survivors of pediatric cancers aged 8 to 18 years remain understudied. Objective: To examine the prevalence of symptom burden among young childhood cancer survivors and identify associations with sociodemographic, clinical, and psychological resilience skills, and health-related quality of life (HRQOL). Design, Setting, and Participants: A cross-sectional analysis using data collected from November 1, 2017, to January 31, 2019, in a survivorship clinic at a US-based comprehensive cancer center was conducted. Participants included 302 dyads of children aged 8 to 18 years who survived at least 5 years beyond diagnosis and their primary caregivers. Data analysis was performed from March 13, 2023, to February 29, 2024. Exposures: Diagnosis, caregiver-reported family conflict, self-reported caregiver anxiety, neighborhood-level social vulnerability, and survivor-reported meaning and purpose. Main Outcomes and Measures: Novel symptom-level burden, integrating the attributes of severity and daily activity interference using the pediatric version of the Patient-Reported Outcomes Version of the Common Terminology Criteria for Adverse Events, global cumulative symptom burden, and HRQOL using the EuroQol-5D. Multinomial logistic regression identified characteristics associated with symptom burden; linear regression assessed symptom burden and HRQOL associations. Results: Among 302 survivors (mean [SD] age, 14.2 [2.9] years, mean [SD] time since diagnosis, 10.9 [2.9] years; 153 [50.7%] male), 186 (62.0%) had low, 77 (25.7%) moderate, and 37 (12.3%) high global cumulative symptom burden. Greater caregiver anxiety was associated with moderate (risk ratio [RR], 1.56; 95% CI, 1.09-2.24) global symptom burden. Greater neighborhood deprivation was associated with moderate global symptom burden (RR, 4.86; 95% CI, 1.29-18.26). Survivors with greater meaning/purpose were less likely to have moderate (RR, 0.42; 95% CI, 0.29-0.61) and high (RR, 0.27; 95% CI, 0.16-0.46) global symptom burden. The burden of individual symptoms displayed similar patterns. Low (Cohen d, -0.60; 95% CI, -0.87 to -0.32) and moderate/high (d, -0.98; 95% CI, -1.53 to -0.43) general pain, moderate/high numbness (d, -0.99; 95% CI, -1.69 to -0.29), and moderate/high worry (d, -0.55; 95% CI, -0.99 to -0.11) were associated with lower HRQOL. Conclusions and Relevance: In this cross-sectional study of young childhood cancer survivors, symptom burden was prevalent. Caregiver anxiety and disparity-related neighborhood factors were associated with greater symptom burden, whereas meaning and purpose was a protective factor. Greater specific symptom burden contributed to poorer HRQOL. The findings suggest that interventions targeting resilience and neighborhood adversity may alleviate symptom burden and improve HRQOL.

Using natural language processing to analyze unstructured patient-reported outcomes data derived from electronic health records for cancer populations: a systematic review.

INTRODUCTION: Patient-reported outcomes (PROs; symptoms, functional status, quality-of-life) expressed in the 'free-text' or 'unstructured' format within clinical notes from electronic health records (EHRs) offer valuable insights beyond biological and clinical data for medical decision-making. However, a comprehensive assessment of utilizing natural language processing (NLP) coupled with machine learning (ML) methods to analyze unstructured PROs and their clinical implementation for individuals affected by cancer remains lacking. AREAS COVERED: This study aimed to systematically review published studies that used NLP techniques to extract and analyze PROs in clinical narratives from EHRs for cancer populations. We examined the types of NLP (with and without ML) techniques and platforms for data processing, analysis, and clinical applications. EXPERT OPINION: Utilizing NLP methods offers a valuable approach for processing and analyzing unstructured PROs among cancer patients and survivors. These techniques encompass a broad range of applications, such as extracting or recognizing PROs, categorizing, characterizing, or grouping PROs, predicting or stratifying risk for unfavorable clinical results, and evaluating connections between PROs and adverse clinical outcomes. The employment of NLP techniques is advantageous in converting substantial volumes of unstructured PRO data within EHRs into practical clinical utilities for individuals with cancer.

Natural language processing with machine learning methods to analyze unstructured patient-reported outcomes derived from electronic health records: A systematic review.

OBJECTIVE: Natural language processing (NLP) combined with machine learning (ML) techniques are increasingly used to process unstructured/free-text patient-reported outcome (PRO) data available in electronic health records (EHRs). This systematic review summarizes the literature reporting NLP/ML systems/toolkits for analyzing PROs in clinical narratives of EHRs and discusses the future directions for the application of this modality in clinical care. METHODS: We searched PubMed, Scopus, and Web of Science for studies written in English between 1/1/2000 and 12/31/2020. Seventy-nine studies meeting the eligibility criteria were included. We abstracted and summarized information related to the study purpose, patient population, type/source/amount of unstructured PRO data, linguistic features, and NLP systems/toolkits for processing unstructured PROs in EHRs. RESULTS: Most of the studies used NLP/ML techniques to extract PROs from clinical narratives (n = 74) and mapped the extracted PROs into specific PRO domains for phenotyping or clustering purposes (n = 26). Some studies used NLP/ML to process PROs for predicting disease progression or onset of adverse events (n = 22) or developing/validating NLP/ML pipelines for analyzing unstructured PROs (n = 19). Studies used different linguistic features, including lexical, syntactic, semantic, and contextual features, to process unstructured PROs. Among the 25 NLP systems/toolkits we identified, 15 used rule-based NLP, 6 used hybrid NLP, and 4 used non-neural ML algorithms embedded in NLP. CONCLUSIONS: This study supports the potential utility of different NLP/ML techniques in processing unstructured PROs available in EHRs for clinical care. Though using annotation rules for NLP/ML to analyze unstructured PROs is dominant, deploying novel neural ML-based methods is warranted.

Interventions with Social Integration Components Addressing Psychosocial Outcomes of Young- and Middle-Aged Adult Cancer Individuals: A Systematic Review.

BACKGROUND: The majority of adult cancer patients/survivors encounter social challenges (e.g., obtaining social support, maintaining social relationships, feelings of social isolation). This systematic review summarizes intervention studies addressing social integration or social connectedness issues among young- and middle-aged cancer patients/survivors. METHODS: We searched the PubMed, CINAHL, and Web of Science databases (January 2000-May 2021) to identify intervention studies that addressed social integration, social connectedness, social support, and social isolation for cancer patients/survivors in young- and middle-aged adulthood (18-64.9 years) through a randomized controlled trial (RCT). We categorized the interventions as technology-based, non-technology-based, and mixed-type (technology- and non-technology-based). RESULTS: A total of 28 studies were identified. These interventions demonstrated improved social outcomes (e.g., increased social support, decreased loneliness), increased awareness of available cancer-related resources, and better patient-reported outcomes among patients/survivors versus controls. Specifically, the use of internet-based discussion sessions was associated with improved social cohesion and social support. Receiving social support from peers through networking sites was associated with improved physical activity. Additionally, implementing mixed-type interventions led to better social support from peer survivors, less fear of social interactions, and improved social connectedness. CONCLUSIONS: Using existing technology- and/or non-technology-based platforms to facilitate social connectedness among cancer patients/survivors in young- or middle-aged adulthood can help them cope with stressful life circumstances and improve quality-of-life. Further interventions targeting social integration (e.g., social network interventions) are needed to improve the complex social integration challenges experienced by cancer patients and survivors.

Mental Health in Mothers of Autistic Children with a Medical Home: The Potentially Mechanistic Roles of Coping and Social Support.

Mothers of autistic children often report poor mental health outcomes. One established risk factor for these outcomes is the child having a medical home. This study examined possible mediating variables (coping, social support) in this relationship in 988 mothers of autistic children from the 2017/2018 National Survey of Children's Health (NSCH). The results of the multiple mediation model suggest the relationship between having a medical home and maternal mental health is largely explained by indirect associations with coping and social support. These findings suggest that clinical interventions for coping and social support provided by the medical home for mothers of autistic children may improve maternal mental health outcomes over and above implementation of a medical home.

Determinants of health-related quality-of-life in adult survivors of childhood cancer: integrating personal and societal values through a health utility approach.

Background: Childhood cancer survivors are at elevated risk for poor health-related quality-of-life (HRQOL). Identification of potentially modifiable risk factors associated with HRQOL is needed to inform survivorship care. Methods: Participants included 4294 adult childhood cancer survivors from the St. Jude Lifetime Cohort Study who completed a survey and clinical assessment at entry into the survivorship cohort (baseline) and follow-up (median interval: 4.3 years) between 2007 and 2019. The SF-6D compared utility-based HRQOL of survivors to an independent sample from the U.S. Medical Expenditures Panel Survey. Chronic health conditions (CHCs) were graded using modified Common Terminology Criteria for Adverse Events. General linear models examined cross-sectional and temporal associations of HRQOL with CHC burden (total and by organ-system), adjusting for potential risk factors. Findings: Survivors reported poorer HRQOL compared to the general population (effect size [d] = -0.343). In cross-sectional analyses at baseline, significant non-demographic risk factors included higher total CHC burden (driven by more severe cardiovascular [d = -0.119, p = 0.002], endocrine [d = -0.112, p = 0.001], gastrointestinal [d = -0.226, p < 0.001], immunologic [d = -0.168, p = 0.035], neurologic [d = -0.388, p < 0.001], pulmonary [d = -0.132, p = 0.003] CHCs), public (d = -0.503, p < 0.001) or no health insurance (d = -0.123, p = 0.007), current smoking (d = -0.270, p < 0.001), being physically inactive (d = -0.129, p < 0.001), ever using illicit drugs (d = -0.235, p < 0.001), and worse diet quality (d = -0.004, p = 0.016). In temporal analyses, poorer utility-based HRQOL at follow-up was associated with risk factors at baseline, including higher total CHC burden (driven by cardiovascular [d = -0.152, p = 0.002], endocrine [d = -0.092, p = 0.047], musculoskeletal [d = -0.160, p = 0.016], neurologic [d = -0.318, p < 0.001] CHCs), public (d = -0.415, p < 0.001) or no health insurance (d = -0.161, p = 0.007), current smoking (d = -0.218, p = 0.001), and ever using illicit drugs (d = -0.217, p < 0.001). Interpretation: Adult survivors report worse utility-based HRQOL than the general population, and potentially modifiable risk factors were associated with HRQOL. Interventions to prevent the early onset of CHCs, promote healthy lifestyle, and ensure access to health insurance in the early survivorship stage may provide opportunities to improve HRQOL. Funding: The research reported in this manuscript was supported by the U.S. National Cancer Institute under award numbers U01CA195547 (Hudson/Ness), R01CA238368 (Huang/Baker), R01CA258193 (Huang/Yasui), R01CA270157 (Bhakta/Yasui), and T32CA225590 (Krull). The content is solely the responsibility of the authors and does not necessarily represent the official views of the funding agencies.

Ten Considerations for Integrating Patient-Reported Outcomes into Clinical Care for Childhood Cancer Survivors.

Patient-reported outcome measures (PROMs) are subjective assessments of health status or health-related quality of life. In childhood cancer survivors, PROMs can be used to evaluate the adverse effects of cancer treatment and guide cancer survivorship care. However, there are barriers to integrating PROMs into clinical practice, such as constraints in clinical validity, meaningful interpretation, and technology-enabled administration of the measures. This article discusses these barriers and proposes 10 important considerations for appropriate PROM integration into clinical care for choosing the right measure (considering the purpose of using a PROM, health profile vs. health preference approaches, measurement properties), ensuring survivors complete the PROMs (data collection method, data collection frequency, survivor capacity, self- vs. proxy reports), interpreting the results (scoring methods, clinical meaning and interpretability), and selecting a strategy for clinical response (integration into the clinical workflow). An example framework for integrating novel patient-reported outcome (PRO) data collection into the clinical workflow for childhood cancer survivorship care is also discussed. As we continuously improve the clinical validity of PROMs and address implementation barriers, routine PRO assessment and monitoring in pediatric cancer survivorship offer opportunities to facilitate clinical decision making and improve the quality of survivorship care.

Associations of Symptom Clusters and Health Outcomes in Adult Survivors of Childhood Cancer: A Report From the St Jude Lifetime Cohort Study.

PURPOSE: To identify symptom clusters among adult survivors of childhood cancers and test associations with health-related quality of life (HRQOL) and physical and neurocognitive performance. METHODS: This cross-sectional study included 3,085 survivors (mean age at evaluation 31.9 ± 8.3 years; mean years from diagnosis 28.1 ± 9.1) participating in the St Jude Lifetime Cohort Study. Survivors self-reported the presence of 37 symptoms capturing 10 domains (cardiac, pulmonary, sensory, motor/movement, nausea, pain, fatigue, memory, anxiety, and depression). The Short Form-36's Physical/Mental Component Summaries assessed HRQOL; the Physical Performance Test evaluated physical performance; and neurocognitive batteries tested attention, processing/psychomotor speed, memory, and executive function. Latent class analysis identified subgroups of survivors experiencing different patterns of symptom burden (ie, symptom clusters). Multivariable regression models identified risk of cluster membership and tested associations with health outcomes. RESULTS: Four symptom clusters were identified including cluster 1 (prevalence 52.4%; low physical, somatization, and psychologic domains), cluster 2 (16.1%; low physical, moderate somatic, and high psychologic domains), cluster 3 (17.6%; high physical, moderate somatic, and low psychologic domains), and cluster 4 (13.9%; high in all three domains). Compared with cluster 1, survivors in cluster 4 were more likely to have less than high school education (odds ratio [OR], 7.71; 95% CI, 4.46 to 13.31), no insurance (OR, 1.49; 95% CI, 1.04 to 2.13), and exposure to corticosteroids (OR, 1.76; 95% CI, 1.02 to 3.03); survivors in cluster 3 were more likely to have received platinum agents (OR, 2.22; 95% CI, 1.34 to 3.68) and brain radiation ≥ 30 Gy (OR, 3.99; 95% CI, 2.33 to 6.86). Survivors in cluster 4 reported the poorest Physical Component Summary/Mental Component Summary scores (31.0/26.7) and physical and neurocognitive performance versus survivors in the other clusters (P < .001). CONCLUSION: Nearly 50% of survivors had moderate to high multisymptom burden, which was associated with sociodemographic, treatment factors, HRQOL, and functional outcomes.

A Review of Patient-Reported Outcome Measures in Childhood Cancer.

Patient-reported outcomes (PROs) are used in clinical work and research to capture the subjective experiences of childhood cancer patients and survivors. PROs encompass content domains relevant and important to this population, including health-related quality-of-life (HRQOL), symptoms, and functional status. To inform future efforts in the application of PRO measures, this review describes the existing generic and cancer-specific PRO measures for pediatric cancer populations and summarizes their characteristics, available language translations, content coverage, and measurement properties into tables for clinicians and researchers to reference before choosing a PRO measure that suits their purpose. We have identified often unreported measurement properties that could provide evidence about the clinical utility of the PRO measures. Routine PRO assessment in pediatric cancer care offers opportunities to facilitate clinical decision-making and improve quality of care for these patients. However, we suggest that before implementing PRO measures into research or clinical care, the psychometric properties and content coverage of the PRO measures must be considered to ensure that PRO measures are appropriately assessing the intended construct in childhood cancer patients.

Convergent and discriminant validity of the Emotional Eating Scale Adapted for Children and Adolescents (EES-C) Short-Form.

BACKGROUND: Emotional eating is associated with a number of negative outcomes in children and adolescents, including higher levels of loss of control eating (i.e., the inability to control the amount of food consumed). There is a need for psychometrically sound and feasible measures that assess emotional eating in children and adolescents. The purpose of the current study was to evaluate the convergent and discriminant validity of the 10-item Emotional Eating Scale Adapted for Children and Adolescents (EES-C) Short-Form in a community sample of adolescents. We also sought to assess the reliability and structural validity of this measure. METHODS: Participants were 128 adolescents ages 13 to 19 years (mean age = 15.10 years; SD = 2.09; 53.9% female). Most participants fell within the healthy BMI range (58.6%). Participants completed the EES-C Short-Form, the loss of control eating section of the Questionnaire on Eating and Weight Patterns-Adolescent Version 5, the Gratitude Questionnaire-Six-Item Form, and a demographic questionnaire. RESULTS: Convergent validity of the EES-C Short-Form was supported in that adolescents who endorsed loss of control eating reported significantly greater levels of emotional eating (mean = 24.37; SD = 8.94) compared to adolescents who did not endorse loss of control eating (mean = 19.42; SD = 7.33; p ≤ .01; d = 0.61). The EES-C Short-Form was significantly correlated with a subjective measure of loss of control eating (rs = -0.255; p = .004), further demonstrating convergent validity. The EES-C Short-Form exhibited discriminant validity as demonstrated by a small, non-significant correlation with the Gratitude Questionnaire-Six-Item Form (rs = 0.086; p = .347). The EES-C Short-Form demonstrated acceptable reliability (Cronbach's alpha = 0.84; Ordinal alpha = 0.88; Coefficient omega = 0.85) and a unidimensional factor structure (CFI = 0.98; NNFI = 0.98; RMSEA = 0.08). CONCLUSIONS: These data contribute to the existing research that support the EES-C Short-Form as a reliable and valid measure for assessing emotional eating in children and adolescents.