Background and aims: The outbreak of COVID-19 led to a significant psychological impact on individuals, particularly those belonging to vulnerable groups. This study aimed to synthesize literature on the psychological impact of COVID-19 among children and adolescents. Methods: Electronic search engines were used to identify studies till March 2021 that reported symptoms of psychological origin in children and adolescents. Information was extracted using a predefined template, and qualitative analysis was conducted using STROBE. Results: One hundred and two relevant papers were identified. Most of the studies were conducted online or telephonically. The study designs were primarily single group cross-sectional, though a few prospective/retrospective designs were also identified. Studies assessing emotional distress showed variable levels of anxiety and depressive symptoms in the study population, with greater severity of anxiety symptoms among females and older adolescents. Reduced physical activity; delayed sleep time; increased sleep duration, screen time, internet use, and sedentary habits, poor quality of life were other notable findings, often correlating with anxiety/depression. Efforts to address bias, discussion on generalizability of their results, and sample size calculation were not reported in most studies. Conclusion: Psychological impact on children/adolescents is significant, either due to the fear of the illness or social isolation related to COVID-19. One may focus on improving sleep habits and physical activity and regulating internet use for maintaining psychological well-being.

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Background and purpose Vaginal stenosis (VS) after pelvic radiotherapy can impair long-term quality of life. We prospectively assessed adherence and efficacy of VD use as the primary and secondary objectives, respectively. Material and methods Women with gastrointestinal (n=63) and gynecologic (n=46) cancers self-reported use and VD size in monthly diaries for 12 months after radiotherapy. Adherence was measured as actual VD use out of recommended times over 12 months (3×/week × 52 weeks = 156). Results Among 109 participants, aged 28–81 years (median, 58 years), mean percent adherence over 12 months was 42% (95% confidence interval [CI], 36%–48%). Adherence was highest in the first quarter (56%), but fell to 25% by the fourth. Disease type, treatment sequence, and chemotherapy were predictors of adherence (all P<.05). Eighty-two percent maintained pre-RT VD size at 12 months; of 49% with decrease in VD size at 1 month post-RT, 71% returned to pre-RT VD size at 12 months. Disease type, younger age, and increased adherence at 6 months were associated with maintaining or returning to pre-RT size at 12 months (all P≤.05). Conclusions VD use is effective in minimizing VS, but adherence at 12 months was poor. Studies evaluating methods of improving adherence and determining the optimal frequency and duration of use are needed.

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Purpose To identify clinical and dosimetric factors associated with acute hematologic and gastrointestinal (GI) toxicities during definitive therapy using intensity-modulated radiotherapy (IMRT) for anal squamous cell carcinoma (ASCC). Materials and methods We retrospectively analyzed 108 ASCC patients treated with IMRT. Clinical information included age, gender, stage, concurrent chemotherapy, mitomycin (MMC) chemotherapy and weekly hematologic and GI toxicity during IMRT. From contours of the bony pelvis and bowel, dose-volume parameters were extracted. Logistic regression models were used to test associations between toxicities and clinical or dosimetric predictors. Results The median age was 59 years, 81 patients were women and 84 patients received concurrent MMC and 5-fluorouracil (5FU). On multivariate analysis (MVA), the model most predictive of Grade 2 + anemia included the maximum bony pelvis dose (Dmax), female gender, and T stage [p = 0.035, cross validation area under the curve (cvAUC) = 0.66]. The strongest model of Grade 2 + leukopenia included V10 (percentage of pelvic bone volume receiving ≥ 10 Gy) and number of MMC cycles (p = 0.276, cvAUC = 0.57). The model including MMC cycle number and T stage correlated best with Grade 2 + neutropenia (p = 0.306, cvAUC = 0.57). The model predictive of combined Grade 2 + hematologic toxicity (HT) included V10 and T stage (p = 0.016, cvAUC = 0.66). A model including VA45 (absolute bowel volume receiving ≥ 45 Gy) and MOH5 (mean dose to hottest 5% of bowel volume) best predicted diarrhea (p = 0.517, cvAUC = 0.56). Conclusion Dosimetric constraints to the pelvic bones should be integrated into IMRT planning to reduce toxicity, potentially reducing treatment interruptions and improving disease outcomes in ASCC. Specifically, our results indicate that Dmax should be confined to ≤ 57 Gy to minimize anemia and that V10 should be restricted to ≤ 87% to reduce incidence of all HT.

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Objective We explore if there are ways to characterize health systems—not already revealed by secondary data—that could provide new insights into differences in health system performance. We sought to collect rich qualitative data to reveal whether and to what extent health systems vary in important ways across dimensions of structural, functional, and clinical integration. Data Sources Interviews with 162 c‐suite executives of 24 health systems in four states conducted through “virtual” site visits between 2017 and 2019. Study Design Exploratory study using thematic comparative analysis to describe factors that may lead to high performance. Data Collection We used maximum variation sampling to achieve diversity in size and performance. We conducted, transcribed, coded, and analyzed in‐depth, semi‐structured interviews with system executives, covering such topics as market context, health system origin, organizational structure, governance features, and relationship of health system to affiliated hospitals and POs. Principal Findings Health systems vary widely in size and ownership type, complexity of organization and governance arrangements, and ability to take on risk. Structural, functional, and clinical integration vary across systems, with considerable activity around centralizing business functions, aligning financial incentives with physicians, establishing enterprise‐wide EHR, and moving toward single signatory contracting. Executives describe clinical integration as more difficult to achieve, but essential. Studies that treat “health system” as a binary variable may be inappropriately aggregating for analysis health systems of very different types, at different degrees of maturity, and at different stages of structural, functional, and clinical integration. As a result, a “signal” indicating performance may be distorted by the “noise.” Conclusions Developing ways to account for the complex structures of today's health systems can enhance future efforts to study systems as complex organizations, to assess their performance, and to better understand the effects of payment innovation, care redesign, and other reforms.