• Association between self-rated health and depressive symptoms in rural Chinese adults: a cohort study based on propensity score matching

      Wang, Yang; Lin, Jinlong; Crabbe, M. James C.; Yue, Xiao-Guang; Peking University; University of Oxford; University of Bedfordshire; Shanxi University; European University Cyprus (Tech Science Press, 2022-02-10)
      Health status is widely regarded as a correlate of depressive symptoms. However, health assessments based on clinical diagnosis in rural areas with poor medical conditions are very limited. Self-rated health (SRH) serves as a simple and convenient evaluation indicator, which may be used as an independent predictor of depressive symptoms. To confirm the relationship between SRH and depressive symptoms in rural adults, a longitudinal survey of rural households in China was conducted using the China Family Panel Studies (CFPS) from 2012 to 2016. Propensity score matching and logistic regression analysis were used to explore the association. After data cleansing, 3,127 pairs (6,254 participants) aged 16 and older followed for 4 years were enrolled, of which the average age was (50.02 ± 14.19) years old, and the proportions of male and female were 48.64% and 51.36%, respectively. The incidence rate of depressive symptoms within 4 years was 30.86% (95%CI: 29.24–32.48) in the group with fair or poor SRH, and 21.59% (95%CI: 20.14–23.03) in the group with good SRH. The difference between the two groups was statistically significant (χ2 = 69.51, P < 0.001). The results of univariate unconditional logistic regression analysis showed that there was a correlation between SRH and depressive symptoms in rural adults aged 30 and above (OR = 1.65, 95%CI: 1.46–1.85, P < 0.001). Thus, a simple and practical assessment tool based on SRH and other indicators should be established for early prevention and intervention in rural primary mental health care.
    • An economic–business approach to clinical risk management

      Comite, Ubaldo; Dong, Kechen; Li, Rita Yi Man; Crabbe, M. James C.; Shao, Xue-Feng; Yue, Xiao-Guang; University Giustino Fortunato; University of South Australia; Hong Kong Shue Yan University; Oxford University; et al. (MDPI, 2020-06-23)
      This paper introduces risk factors in the field of healthcare and discusses the clinical risks, identification, risk management methods, and tools as well as the analysis of specific situations. Based on documentary analysis, an ecient and coherent methodological choice of an informative and non-interpretative approach, it relies on “unobtrusive” and “non-reactive” information sources, such that the research results are not influenced by the research process itself. To ensure objective and systematical analysis, our research involved three macro-phases: (a) the first involved a skimming (a superficial examination) of the documents collected; (b) the second reading (a thorough examination) allowed a selection of useful information; (c) the third phase involved classification and evaluation of the collected data. This iterative process combined the elements of content and thematic analysis that categorised the information into di erent categories which were related to the central issues for research purposes. Finally, from the perspective of safety analysis and risk management, we suggest that comprehensive control and operation should be conducted in a holistic way, including patient safety, cost consumption, and organizational responsibility. An organizational strategy that revolves around a constant and gradual risk management process is an important factor in clinical governance which focuses on the safety of patients, operators, and organizations.