81 research outputs found

    Policy-driven or market-driven? A new perspective on the development of China’s cruise industry

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    The past 15 years have witnessed the rapid development of China’s cruise industry from scratch and the formation of a policy system in the cruise industry, reflecting the shift of the Chinese government’s attitude towards the cruise industry from wait-and-see, recognition and encouragement to active support. The paper conducts a statistical analysis of 128 policies related to the cruise industry issued by China’s administrative departments at all levels. It is found that the release of policies synchronizes with the development of the cruise industry, with each one providing feedback to the other. The policies do not exhibit a time lag with respect to their effects. The evolution of policy types from macro-level guidance to concrete operation is rapid, with the policy structure gradually improving. In line with current characteristics of the development of China’s cruise industry, the themes of the policies concentrate on five areas: cruise tourism services and products, port construction and development, cruise industry chain expansion, cruise industry environment and cruise industry management. However, there is still a lack of adequate policies to support and guide the industrial upgrading of cruise operation and cruise construction and its green and low-carbon development. In addition, the paper points out the main directions of future policy formulation

    The impact of statin use before intensive care unit admission on patients with acute kidney injury after cardiac surgery

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    Background: Cardiac surgery-associated acute kidney injury (CSA-AKI) is a common and serious complication after cardiac surgery. The influence of statin use before surgery on the renal outcome of patients undergoing cardiac surgery is controversial. The purpose of this study was to evaluate the effect of statins on postoperative renal outcomes in patients undergoing cardiac surgery.Methods: We included CSA-AKI patients in the Medical Information Mart for Intensive Care (MIMIC)—IV database and were divided into statin group and non-statin group according to whether they used statins before entering intensive care units (ICU). The main outcomes were hospitalization and 30-day mortality, and the secondary outcomes were 60-day mortality and 90-day mortality. We used propensity score matching (PSM) to adjust for confounding factors. The 95% confidence interval (CI) and risk ratio (RO) were calculated by the COX proportional regression model. At the same time, stratified analysis was used to explore whether the relationship between the statins use before intensive care units and mortality was different in each subgroup and whether the relationship between different doses of Atorvastatin and mortality was different.Result: We identified 675 pre-ICU statin users and 2095 non-statin users. In the COX proportional regression model, pre-ICU statin use was associated with decreased in-hospital (HR = 0.407, 95%confidence interval 0.278–0.595, p < 0.001) and 30-day mortality (HR = 0.407, 95%CI 0.279–0.595, p < 0.001). The survival rate of patients who took statins before entering ICU was significantly higher than that of those who did not use statins at 30 days, 60 days and 90 days. There is a significant interaction between patients with aged>65 years (HR = 0.373, 95%CI 0.240–0.581, p < 0.001), Acute kidney injury grade I (HR = 0.244, 95%CI 0.118–0.428, p < 0.001), and without post-myocardial infarction syndrome (HR = 0.344, 95%CI 0.218–0.542, p < 0.001). The mortality in hospital and 60 days of CSA-AKI patients treated with ≥80 mg Atorvastatin before operation was significantly reduced (p < 0.05).Conclusion: The pre-ICU statin use was significantly associated with decreased risk in hospital and 30-day mortality. The preoperative use of ≥80 mg Atorvastatin may improve the prognosis of CSA-AKI

    Is knowledge retained by healthcare providers after training? A pragmatic evaluation of drug-resistant tuberculosis management in China.

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    OBJECTIVES: Considering the urgent need of training to improve standardised management of drug-resistant infectious disease and the lack of evidence on the impact of training, this study evaluates whether training participants' knowledge on multidrug-resistant tuberculosis (MDR-TB) is improved immediately and a year after training. SETTING AND PARTICIPANTS: The study involved 91 MDR-TB healthcare providers (HCPs), including clinical doctors, nurses and CDC staff, who attended a new MDR-TB HCP training programme in Liaoning and Jiangxi provinces, China. MAIN OUTCOME MEASURES: A phone-based assessment of participants' long-term retention of knowledge about MDR-TB management was conducted in July 2017, approximately 1 year after training. The proportion of correct responses in the long-term knowledge assessment was compared with a pretraining test and an immediate post-training test using a χ2 test. Factors influencing participants' performance in the long-term knowledge assessment were analysed using linear regression. RESULTS: Across both provinces, knowledge of definitions of drug-resistant TB, standardised MDR-TB case detection protocols and laboratory diagnosis was improved 1 year after the training by 14.5% (p=0.037), 32.4% (p<0.001) and 31% (p<0.001) relative to pretraining. However, compared with immediately after training, the knowledge of the three topics declined by 26.5% (p=0.003), 19.8% (p=0.018) and 52.7% (p<0.001) respectively in Jiangxi, while no significant decline was observed in Liaoning. Additionally, we found that obtaining a higher score in the long-term knowledge assessment was associated with longer years of clinical experience (coefficient=0.51; 95 CI% 0.02 to 0.99; p=0.041) and attending training in Liaoning (coefficient=0.50; 95% CI 0.14 to 0.85; p=0.007). CONCLUSION: Our study, the first to assess knowledge retention of MDR-TB HCPs 1 year after training, showed an overall positive long-term impact of lecture-style group training on participants' knowledge. Knowledge decline 1 year after training was observed in one province, Jiangxi, and this may be partly addressed by targeted support to HCPs with fewer years of clinical experience

    Understanding factors influencing the length of hospital stay among non-severe COVID-19 patients: A retrospective cohort study in a Fangcang shelter hospital.

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    As a novel concept of responding to disease epidemics, Fangcang shelter hospitals were deployed to expand the health system's capacity and provide medical services for non-severe COVID-19 patients during the outbreak in Wuhan. To give insights on patient management within Fangcang hospitals, we conducted a retrospective analysis to: 1) describe the characteristics of the patients admitted to Fangcang hospitals and 2) explore risk factors for longer length of stay (LOS). We enrolled 136 confirmed COVID-19 patients, including asymptomatic patients and those with mild symptoms, who were hospitalized in the Wuti Fangcang Hospital. 58 patients completed the treatment and discharged before 1 March 2020. After describing patients' demographic and clinical characteristics, exposure history, treatment received and time course of the disease, we conducted linear regression analysis to identify factors influencing LOS. We found that patients having fever before admission were hospitalized 3.5 days (95%CI 1.39 to 5.63, p = 0.002) longer than those without fever and that patients having bilateral pneumonia were hospitalized 3.4 days (95%CI 0.49 to 6.25, p = 0.023) longer than those with normal CT scan results. We also found weak evidence suggesting that patients with diabetes were hospitalized 3.2 days longer than those without diabetes (95%CI -0.2 to 6.56, p = 0.065). However, we observed no significant differences in LOS between symptomatic and asymptomatic patients and between patients who received treatment and those without treatment. Longer duration of hospitalization among non-severe COVID-19 patients is associated with having fever, bilateral pneumonia on CT scan and diabetes. However, being asymptomatic and using supportive medications at the early stage of infection do not have significant influences on LOS. Our study is a single-centered study with relatively small sample size. The findings provide evidence for predicting hospital bed demand in a novel response scenario and may help decision-makers in preparing for ramping up the health system capacity

    Health financing policies during the COVID-19 pandemic and implications for universal health care: a case study of 15 countries

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    Background The COVID-19 pandemic was a health emergency requiring rapid scal resource mobilisation to support national responses. The use of e ective health nancing mechanisms and policies, or lack thereof, a ected the impact of the pandemic on the population, particularly vulnerable groups and individuals. We provide an overview and illustrative examples of health nancing policies adopted in 15 countries during the pandemic, develop a framework for resilient health nancing, and use this pandemic to argue a case to move towards universal health coverage (UHC). Methods In this case study, we examined the national health nancing policy responses of 15 countries, which were purposefully selected countries to represent all WHO regions and have a range of income levels, UHC index scores, and health system typologies. We did a systematic literature review of peer-reviewed articles, policy documents, technical reports, and publicly available data on policy measures undertaken in response to the pandemic and complemented the data obtained with 61 in-depth interviews with health systems and health nancing experts. We did a thematic analysis of our data and organised key themes into a conceptual framework for resilient health nancing. Findings Resilient health nancing for health emergencies is characterised by two main phases: (1) absorb and recover, where health systems are required to absorb the initial and subsequent shocks brought about by the pandemic and restabilise from them; and (2) sustain, where health systems need to expand and maintain scal space for health to move towards UHC while building on resilient health nancing structures that can better prepare health systems for future health emergencies. We observed that ve key nancing policies were implemented across the countries— namely, use of extra-budgetary funds for a swift initial response, repurposing of existing funds, e cient fund disbursement mechanisms to ensure rapid channelisation to the intended personnel and general population, mobilisation of the private sector to mitigate the gaps in public settings, and expansion of service coverage to enhance the protection of vulnerable groups. Accountability and monitoring are needed at every stage to ensure e cient and accountable movement and use of funds, which can be achieved through strong governance and coordination, information technology, and community engagement. Interpretation Our ndings suggest that health systems need to leverage the COVID-19 pandemic as a window of opportunity to make health nancing policies robust and need to politically commit to public nancing mechanisms that work to prepare for future emergencies and as a lever for UHC.We thank the management team of the Bill & Melinda Gates Foundation and the Saw Swee Hock School of Public Health (National University of Singapore, Singapore) for all the administrative support given. This research was funded by the Bill & Melinda Gates Foundation (Investment ID INV-005598)

    Post-disaster assessment of northeastern coastal region for the 2011 Sendai Earthquake and tsunami

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    The 2011 Sendai Earthquake has hit the north-east of Japan triggering a destructive tsunami that has caused extensive damage. A fast and effective post-disaster assessment is highly imperative for the recovery of this region. This study modeled the tsunami-affected areas of coastal Fukushima Prefecture using Landsat-7 ETM+ data and terrain analysis. The result shows that most of the coastal areas were significantly affected by the tsunami. The low-lying plains along the coast are particularly vulnerable to the tsunami
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