Objective:To explore the impact of residents′ health literacy on healthcare choices.Methods:This mixed cross-sectional study utilized data from the 2009, 2011, and 2015 waves of the China Health and Nutrition Survey (CHNS), including adults aged≥18 years. Guided by Andersen′s Behavioral Model of Health Services Use and the Knowledge-Attitude-Practice (KAP) framework, variables were collected across three dimensions-predisposing, enabling, and need factors-including gender, marital status, age, education level, employment status, urban/rural residence, health management awareness, income, health insurance coverage, self-rated health, and chronic disease status. A multinomial Logistic regression model was applied to assess the association between health literacy and healthcare choice. Bootstrap analysis was conducted to test the mediating effect of health management awareness.Results:After excluding cases with missing or invalid data, 4 736 valid observations were included. The proportions of choosing township-, county-, and city-level hospitals were 60.60%, 15.08%, and 24.32%, respectively. After adjusting for confounders, health literacy showed a significant effect on healthcare choice ( P<0.05): individuals with higher health literacy were more likely to choose county-level hospitals ( RR=1.035, P<0.05) and city-level hospitals ( RR=1.044, P<0.01). Health management awareness mediated the relationship between health literacy and healthcare choice ( P<0.05). Conclusions:Health literacy significantly influences healthcare choices; individuals with higher health literacy are more inclined to utilize higher-level medical institutions. Furthermore, health literacy affects healthcare choices partly through the mediating role of health management awareness.

Objective:To construct a framework for evaluating the quality of health economic evaluation methodology based on the pragmatic clinical trial.Methods:An evaluation framework was constructed based on existing quality evaluation tools for health economic evaluation other quality evaluation tools.The weights of each item in the framework were determined by the Delphi method,and the weighted average was calculated using the expert authority coefficient.Results:A total of 23 experts were consulted,and the expert authority coefficients were 0.88 and 0.90,respectively.The results of the Wilcoxon signed-rank test showed no statistically signifi-cant differences among the expert opinions in two rounds(P＞0.05).Finally,a framework with 3 dimensions and 8 items was estab-lished.Conclusion:The evaluation framework has high scientificity and reliability.

Objective:To construct a framework for evaluating the quality of health economic evaluation methodology based on the pragmatic clinical trial.Methods:An evaluation framework was constructed based on existing quality evaluation tools for health economic evaluation other quality evaluation tools.The weights of each item in the framework were determined by the Delphi method,and the weighted average was calculated using the expert authority coefficient.Results:A total of 23 experts were consulted,and the expert authority coefficients were 0.88 and 0.90,respectively.The results of the Wilcoxon signed-rank test showed no statistically signifi-cant differences among the expert opinions in two rounds(P＞0.05).Finally,a framework with 3 dimensions and 8 items was estab-lished.Conclusion:The evaluation framework has high scientificity and reliability.

Objective:To explore the impact of residents′ health literacy on healthcare choices.Methods:This mixed cross-sectional study utilized data from the 2009, 2011, and 2015 waves of the China Health and Nutrition Survey (CHNS), including adults aged≥18 years. Guided by Andersen′s Behavioral Model of Health Services Use and the Knowledge-Attitude-Practice (KAP) framework, variables were collected across three dimensions-predisposing, enabling, and need factors-including gender, marital status, age, education level, employment status, urban/rural residence, health management awareness, income, health insurance coverage, self-rated health, and chronic disease status. A multinomial Logistic regression model was applied to assess the association between health literacy and healthcare choice. Bootstrap analysis was conducted to test the mediating effect of health management awareness.Results:After excluding cases with missing or invalid data, 4 736 valid observations were included. The proportions of choosing township-, county-, and city-level hospitals were 60.60%, 15.08%, and 24.32%, respectively. After adjusting for confounders, health literacy showed a significant effect on healthcare choice ( P<0.05): individuals with higher health literacy were more likely to choose county-level hospitals ( RR=1.035, P<0.05) and city-level hospitals ( RR=1.044, P<0.01). Health management awareness mediated the relationship between health literacy and healthcare choice ( P<0.05). Conclusions:Health literacy significantly influences healthcare choices; individuals with higher health literacy are more inclined to utilize higher-level medical institutions. Furthermore, health literacy affects healthcare choices partly through the mediating role of health management awareness.

During the 14th Five-Year Plan period, public hospitals in China have entered a phase of high-quality development, with health insurance payment system reforms becoming a crucial means to promote this advancement. However, from the current situation, although the diagnosis related group (DRG) payment reform has made great achievements in shortening the average length of stay, improving the case-mix index, and reducing the mortality rate of low-risk groups, there are also many problems and challenges such as incomplete supporting policies, the classification system needs to be updated, the quality of medical record home pages varies, the quality of coding urgently needs to be improved, and how to deal with the use of new technologies. Thus, revisiting the impact of the DRG payment method on the high-quality development of public hospitals will not only help to understand the current challenges more clearly, but also offer valuable insights for further improving and optimizing the payment method of health insurance in the future.

Objective::Regarding the secondary prevention of cardiovascular disease (CVD), there is great interest in preventing recurrent cardiovascular events (RCVEs). The prognostic importance of liver fibrosis scores (LFSs) has previously been reported in various CVDs. We hypothesized that LFSs might also be useful predictors for RCVEs in patients with prior cardiovascular events (CVEs). Herein, we aimed to evaluate the associations of LFSs with RCVEs in a large, real-world cohort of coronary artery disease (CAD) patients with a prior CVE.Methods::In this multicenter prospective study, 6527 consecutive patients with angiography-diagnosed CAD who had experienced a prior CVE (acute coronary syndrome, stroke, percutaneous coronary intervention, or coronary artery bypass grafting) were enrolled. LFSs were computed according to the published formulas: non-alcoholic fatty liver disease fibrosis score (NFS) includes age, body mass index (BMI), impaired fasting glycemia or diabetes mellitus (DM), aspartate aminotransferase (AST)/alanine aminotransferase (ALT) ratio, platelets, and albumin; fibrosis-4 (FIB-4) includes age, AST, ALT, and platelets; Forns score includes age, gamma-glutamyltransferase (GGT), and platelets; BARD includes BMI, AST/ALT ratio, and DM; GGT/platelet ratio includes GGT and platelets; AST/ALT ratio includes AST and ALT; and AST/platelet ratio index includes AST and platelets. The originally reported cutoffs were used for the categorization of low-, intermediate-, and high-score subgroups. All patients were followed up for the occurrence of RCVEs (comprising cardiovascular death, non-fatal myocardial infarction, and stroke). Cox and Poisson regression analyses were used to assess the relationship of baseline LFSs with the risk of RCVE.Results::During a mean follow-up of (54.67 ± 18.80) months, 532 (8.2%) RCVEs were recorded. Intermediate and high NFS, FIB-4, Forns, and BARD scores were independently associated with an increased risk of RCVE (hazard ratios ranging from 1.42 to 1.75 for intermediate scores and 1.35 to 2.52 for high scores). In the subgroup analyses of sex, age, BMI, DM, and hypertension status, the increased risk of RCVEs with high LFSs (NFS, FIB-4, Forns, and BARD) was maintained across the different subgroups (all P < 0.05). Conclusion::This study showed that LFSs are indeed independently associated with RCVEs, suggesting that LFSs may be used as novel tools for risk stratification in CAD patients with a prior CVE.

Objective::Regarding the secondary prevention of cardiovascular disease (CVD), there is great interest in preventing recurrent cardiovascular events (RCVEs). The prognostic importance of liver fibrosis scores (LFSs) has previously been reported in various CVDs. We hypothesized that LFSs might also be useful predictors for RCVEs in patients with prior cardiovascular events (CVEs). Herein, we aimed to evaluate the associations of LFSs with RCVEs in a large, real-world cohort of coronary artery disease (CAD) patients with a prior CVE.Methods::In this multicenter prospective study, 6527 consecutive patients with angiography-diagnosed CAD who had experienced a prior CVE (acute coronary syndrome, stroke, percutaneous coronary intervention, or coronary artery bypass grafting) were enrolled. LFSs were computed according to the published formulas: non-alcoholic fatty liver disease fibrosis score (NFS) includes age, body mass index (BMI), impaired fasting glycemia or diabetes mellitus (DM), aspartate aminotransferase (AST)/alanine aminotransferase (ALT) ratio, platelets, and albumin; fibrosis-4 (FIB-4) includes age, AST, ALT, and platelets; Forns score includes age, gamma-glutamyltransferase (GGT), and platelets; BARD includes BMI, AST/ALT ratio, and DM; GGT/platelet ratio includes GGT and platelets; AST/ALT ratio includes AST and ALT; and AST/platelet ratio index includes AST and platelets. The originally reported cutoffs were used for the categorization of low-, intermediate-, and high-score subgroups. All patients were followed up for the occurrence of RCVEs (comprising cardiovascular death, non-fatal myocardial infarction, and stroke). Cox and Poisson regression analyses were used to assess the relationship of baseline LFSs with the risk of RCVE.Results::During a mean follow-up of (54.67 ± 18.80) months, 532 (8.2%) RCVEs were recorded. Intermediate and high NFS, FIB-4, Forns, and BARD scores were independently associated with an increased risk of RCVE (hazard ratios ranging from 1.42 to 1.75 for intermediate scores and 1.35 to 2.52 for high scores). In the subgroup analyses of sex, age, BMI, DM, and hypertension status, the increased risk of RCVEs with high LFSs (NFS, FIB-4, Forns, and BARD) was maintained across the different subgroups (all P < 0.05). Conclusion::This study showed that LFSs are indeed independently associated with RCVEs, suggesting that LFSs may be used as novel tools for risk stratification in CAD patients with a prior CVE.

Objective To assess the quantitative impact of the application of high-throughput sequencing worldwide on clinical virology.Methods The following records from 2000 to 2018 were collected from National Center for Biotechnology Information:The number of complete genome of virus records per year;the number of virus discovery articles per year;the number of virus quasi-species articles per year;the number of viral infection gene signature articles per year.The method of interrupted time series was applied to analyze the trends of those records.Results Since the sequencing centers worldwide began to transit from the Sanger sequencing to the high-throughput sequencing technology in 2008,the annual value of records mentioned above increased by 3.755,2.760,6.195 and 3.885 times respectively.The long-term trends of change of each record are as follows:the number of complete genome of virus records increased by 1639.991 per year (P＜0.001);the number of virus discovery articles increased by 83.091 per year (P＜0.001);the number of virus quasi-species articles increased by 2.509 per year (P＜ 0.001);the number of viral infection gene signature articles increased by 30.836 per year (P＜ 0.001).Conclusions In 2008,the sequencing centers worldwide began to apply high-throughput sequencing technology which led to continuous decrease of the cost for sequencing.It result ed in not only increasingly enriched applications in clinical virology but also a long-term positive impact on the advance of clinical virology.

Interrupted time series (ITS) is a statistical method for the quasi-experimental design specific to the outcome of time series, in which the effectiveness of an intervening measure is evaluated by examining change in slope and immediate change in level. The key feature of ITS is that the secular trend of time series prior to the intervention can be effectively controlled so as to accurately estimate the intervention effect. The design principle and statistical method for ITS were illustrated by an example of evaluating halving policy for the expert registration fee in the general hospital of a city. The segmented linear regression was used to fit the above time series data and the results were explained in detail. Meanwhile, the study design and model fitting along with explanations of the results with respect to the effects of two types of successive interventions and on different time-points of an intervention were illustrated as well in this paper. The existed upward or downward trend should be taken into account in order to accurately estimate the intervention effect as it exists in most of the public health surveillance data. Two parameters, known as change in slope and immediate change in level, were employed to evaluate the effect of the intervention. The ITS analysis can be widely applied to the program evaluation as it could enrich methods of the evaluation compared to the traditional model of the program evaluation.

Interrupted time-series (ITS) is a quasi-experimental design which evaluates the effectiveness of an intervention based on time-series outcome variables. Compared with the single group of ITS, the two groups of ITS can better control the influence of pre-interventional confounding factors and evaluate the effectiveness of the intervention. This paper summarizes the principles and statistical methods of two groups of ITS by an example of evaluating vaccine effect on the incidence of a disease in two cities. The regression model is fitted by Prais-Winsten method and Newey-West method and the results are explained and compared in detail. When the intervention is performed with other confounding interventions at the same time, the two groups of ITS can be more effective to balance the existing trends before the intervention, and evaluate the effectiveness of intervention. The method of two groups of ITS has important practical significance, providing new insights in program evaluation.