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Background: Diabetic retinopathy (DR) has become a leading cause of global blindness as a microvascular complication of diabetes. Regular screening of diabetic retinopathy is strongly recommended for people with diabetes so that timely treatment can be provided to reduce the incidence of visual impairment. However, DR screening is not well carried out due to lack of eye care facilities, especially in the rural areas of China. Artificial intelligence (AI) based DR screening has emerged as a novel strategy and show promising diagnostic performance in sensitivity and specificity, relieving the pressure of the shortage of facilities and ophthalmologists because of its quick and accurate diagnosis. In this study, we estimated the cost-effectiveness of AI screening for DR in rural China based on Markov model, providing evidence for extending use of AI screening for DR.Methods: We estimated the cost-effectiveness of AI screening and compared it with ophthalmologist screening in which fundus images are evaluated by ophthalmologists. We developed a Markov model-based hybrid decision tree to analyze the costs, effectiveness and incremental cost-effectiveness ratio (ICER) of AI screening strategies relative to no screening strategies and ophthalmologist screening strategies (dominated) over 35 years (mean life expectancy of diabetes patients in rural China). The analysis was conducted from the health system perspective (included direct medical costs) and societal perspective (included medical and nonmedical costs). Effectiveness was analyzed with quality-adjusted life years (QALYs). The robustness of results was estimated by performing one-way sensitivity analysis and probabilistic analysis.Results: From the health system perspective, AI screening and ophthalmologist screening had incremental costs of $180.19 and $215.05 but more quality-adjusted life years (QALYs) compared with no screening. AI screening had an ICER of $1,107.63. From the societal perspective which considers all direct and indirect costs, AI screening had an ICER of $10,347.12 compared with no screening, below the cost-effective threshold (1-3 times per capita GDP of Chinese in 2019).Conclusions: Our analysis demonstrates that AI-based screening is more cost-effective compared with conventional ophthalmologist screening and holds great promise to be an alternative approach for DR screening in the rural area of China. [ABSTRACT FROM AUTHOR]

Background: Many gynecological cancer survivors (GCS) have comorbid chronic diseases (CCD). This study was to estimate the impacts of CCD on quality of life (QOL) in GCS.Methods: We collected cross-sectional self-reported survey data from 598 GCS between April and July 2013, in Shanghai, China. All the subjects were asked to complete a questionnaire containing the European Organization for Research and Treatment quality of life version 3 questionnaire (EORTC QLQ-C30) and questions on socio-demographic characteristics and CCD. In order to mitigate the bias caused by confounding factors, multiple linear models were employed to calculate adjusted means of QOL scores.Results: Approximately three-quarters of subjects reported at least one CCD. The highest overall prevalence of all CCD was found in endometrial cancer survivors. Subjects with CCD generally reported lower scores for most EORTC QLQ-C30 scales when compared to subjects without CCD, indicating poorer QOL, particularly for cardiovascular diseases, respiratory diseases, digestive diseases, and musculoskeletal disease.Conclusions: The CCD are common health problems among GCS. CCD have significantly negative influence on QOL, and GCS with CCD generally reported lower QOL scores. These findings suggested comprehensive cares for GCS. [ABSTRACT FROM AUTHOR]

Background: The prevalence of pulmonary tuberculosis among college students in Shaanxi is high. Although tuberculosis leaves much psychological and social impact on patients, little is known about its impact on college students. The objective of this study is to explore the experiences and psychological process of college students with pulmonary tuberculosis in Shaanxi, China., Methods: 17 college students with pulmonary tuberculosis were recruited purposively from 9 colleges in Shaanxi. In-depth interviews were conducted to collect data and a thematic framework analysis was used., Results: The participants reported that pulmonary tuberculosis deeply influenced their mental health. They were fearful to the nature of pulmonary tuberculosis at the stage of diagnosis, anxious about the illness before the period of diagnosis and the early week of the treatment, excessive worry immediately before the first recheck. They expected an early full recovery, bored on tedious treatment life and worried about future heath and prospects during the whole treatment phase. Their daily life was also influenced, namely discontinued studies, isolation and increased financial burden. They also reported that they could get strong supports from family members, while little supports from healthcare workers and their friends., Conclusions: The participants' psychological pressure was significant during the treatment. In addition, there was serious conflict between treatment and study; social support provided for them was insufficient. Healthcare workers should provide psychological support for college students with pulmonary tuberculosis according to the psychological characteristics and offer social support through strengthening communication with them. Colleges should follow governmental policies on TB exactly and provide opportunities for the patients to continue their studies.