Time to diagnosis (TTD) and treatment initiation (TTI) are important measures of access to and quality of cancer care. This study addressed the knowledge gap on the impact of the COVID-19 pandemic on TTD and TTI for rural cancer patients. Sixty-three cancer patients residing in rural areas of the state of Hawaii were surveyed in 2020 to 2021. Overall, 67.5% of participants reported TTD within one month of reporting symptoms to a health care provider. Mean TTI for the overall sample was 55.3 days, and among breast cancer patients, 57.9 days. Compared with pre-pandemic state registry data, mean TTI for the overall sample and breast cancer patients were significantly longer than the state registry null value of 40 days (P = .02 and P =.05, respectively). During the COVID-19 pandemic, cancer patients in rural Hawaii experienced substantial delays in TTI compared with pre-pandemic years.
The global burden of oral diseases is high, but access to oral health care is still problematic, especially in low- and middle-income countries. The prevention of oral diseases in the child and adolescent population is the key as it can be prevented and potentially reversed at its early stages. This study aimed to provide evidence on the effectiveness of school-based oral health education in low- and middle-income countries through a systematic review and meta-analysis. Eligible studies had outcomes, such as oral health knowledge, behavior, oral hygiene, gingival health, and caries index, and those published from 1995 to 2019 in English. After screening and reviewing the retrieved articles, 20 studies were included in the systematic review and six eligible studies were selected for meta-analysis. The computed effect size of school-based oral health education in low- and middle-income countries showed improved knowledge, behavior, oral hygiene, and gingival health from the selected studies. However, most of the interventions took place for less than one year, and long-term evidence is still lacking. As repetition and reinforcement are critical in maintaining long-term effects, both country context and sustainability should be considered in school-based oral health education.
This study aimed to classify patterns of trauma exposure among disaster victims using latent class analysis (LCA) and to examine group differences in post-traumatic stress disorder (PTSD), anxiety, and depressive symptoms over three years. Data were obtained from a 3-year panel survey of Korean disaster victims (male = 461, female = 513) who responded to four types of trauma experiences: threatened death, injury or disease, witnessing injury or death, and loss of family or relatives in 2017. The LCA yielded three classes: the low-threat (66.1%), life-threat (29.4%), and multi-threat (4.5%) groups. One-way analysis of variance showed that the multi-threat group had the highest levels of PTSD, depressive, and anxiety symptoms in 2017, 2018, and 2019. Post-traumatic stress disorder symptoms significantly decreased between 2017 and 2018 in the life-threat and multi-threat groups. However, there were no differences between 2018 and 2019 in any groups. These results highlight the importance of early intervention during the proximal period after trauma, particularly in individuals exposed to multiple types of traumatic experiences.
This study aimed to investigate the factors affecting smoking relapse and to develop predictive models among Korean national 5-day smoking cessation program participants. The subjects were 518 smokers and follow-up was continued for 6 months after discharge. A predictive logistic model and risk score were developed from the multivariate logistic models and compared using the area under the receiver operating characteristic curve (area under the curve [AUC]). The smoking relapse rate within 6 months after program participation was 38.4%. The AUCs of the logistic regression model and risk score model were similar (odds ratio [OR] = 0.69; 0.69, respectively) in the development data set, and those of the risk score model were similar between the development and validation data sets (OR = 0.68). The risk score used by the six risk factors could predict smoking relapse among participants who attended a 5-day inpatient smoking cessation program.