[Residents' sense of acquisition and influencing factors in China's Sanitary City Initiative].

Objective: To analyze the residents' sense of acquisition (recognition, perceptibility and satisfaction) and influencing factors in China's Sanitary City Initiative. Methods: A cross-sectional survey was conducted from December 2020 to February 2021. The data about the residents' sense of acquisition were collected by using questionnaire from 2 465 residents who were aged ≥18 years and had lived in local communities for at least one year in 31, 14 and 16 cities with national sanitary city title in eastern, central and western China the influencing factors of residents' sense of acquisition in China's Sanitary City Initiative were analyzed by using multivariate multilevel model. Results: The total score of residents' sense of acquisition in China's Sanitary City Initiative was 231.15±32.45. After converting the scores according to the 100-score standardized method, the results showed that the recognition score, perception score and the satisfaction score were 85.02, 59.08 and 61.42, respectively. The results of influencing factors analysis showed that education level, gender, marital status, age, prevalence of physical exercise and self-assessment of health status were correlated with the scores of residents' recognition (ß:1.24-2.54,all P<0.05); the concentration of inhalable fine particles , the green coverage of built-up area, the level of GDP per capita and the type of residential community, prevalence of physical exercise and self-assessment of health status were correlated with the score of residents' perception (ß:1.76-8.86,all P<0.05); the concentration of inhalable fine particles , the green coverage of built-up area, the level of GDP per capita and the type of residential community, education level, prevalence of physical exercise and self-assessment of health status were correlated with the score of residents' satisfaction (ß:1.34-6.26,all P<0.05). Conclusions: The total score of residents' sense of acquisition in China's Sanitary City Initiative was relatively high, indicating that the policy has been widely recognized. The detailed management of policy implementation should be strengthened in the future, and more attention needs to be paid to actual needs of the residents to further improve the residents' sense of acquisition in China's Sanitary City Initiative.

[Application of discrete event simulation model in analysis on cost-effectiveness of epidemiology screening].

Discrete event simulation (DES) model is based on individual data, by which discrete events over time are simulated to reflect disease progression. The effects of individual characteristics on disease progression could be considered in the DES model. Moreover, unlike state-transition models, DES model without setting of fixed cycle can contribute to more accurate estimation of event time, especially in the evaluation of the long-term effectiveness of screening strategies for complex diseases in which time dimension needs to be considered. This article introduces the general principles, construction steps, analytic methods and other relevant issues of the DES model. Based on a research case of estimating the cost-effectiveness of screening for abdominal aortic aneurysms in women aged 65 years and above in the United Kingdom, key points in applications of the DES model in analysis on effectiveness of complex disease screening are discussed in detail, including model construction and analysis and interpretation of the results. DES model can predict occurring time of discrete events accurately by establishing the distribution function of their occurring time and is increasingly used to evaluate the screening strategies for complex diseases in which time dimension needs to be considered. In the construction of DES model, it is necessary to pay close attention to the clear presentation of model structure and simulation process and follow the relevant reporting specification to conduct cost-effectiveness analysis to ensure the transparency and repeatability of the research.

[Applications of Markov model for cost-effectiveness analysis of screening in epidemiology].

Cost-effectiveness analysis of screening in epidemiology is essential for public health decision-making. This paper describes the general principles, basic steps involved in implementation, analytic methods and other related issues of Markov model. Based on a practical research case of evaluating the cost-effectiveness of primary open-angle glaucoma screening in a Chinese population, key points in applications of Markov model for cost-effectiveness analysis of screening were discussed in detail, including model development, parameters definition, available software, base case analysis, sensitivity analysis and the interpretation of the results. For better supporting evidence-informed decision making in public health, future studies should be aware of the accuracy of parameters in Markov models and the transparency of the models and results, as well as complying with the relevant reporting standards.

[Analysis of the contradiction between the supply and demand of Chinese graduate students' emergency professional ability in public health and preventive medicine in China].

In order to underst and the status of health emergency personnel training development and raising coping measures, electronic questionnaire surveys were conducted among 22 colleges and universities in different region of China. The result showed that colleges universities in China invested less in the training of emergency personnel. It is different and emphasized particularly for the cultivation of emergency professional ability among different types of public health students. Universities and employer hold relative evaluation of students' emergency professional ability with distinct regional differences.

[Effectiveness of different screening strategies for primary prevention of cardiovascular diseases in a rural northern Chinese population].

OBJECTIVE: To estimate the potential health benefit of screening strategies for cardiovascular diseases primary prevention in a rural northern Chinese population. METHODS: A total of 6 221 adults aged 40-74 years old, from rural Beijing, China and free from cardiovascular diseases at baseline were included. The following screening strategies were compared: Strategy 1, the strategy based on numbers of risk factors recommended by the Chinese Guideline for Prevention of Cardiovascular Diseases in people aged 40-74; Strategy 2, screening people aged 40-74 based on the Prediction for Atherosclerotic Cardiovascular Disease Risk in China (China-PAR) risk prediction model; Strategy 3, screening people aged 50-74 using the China-PAR risk prediction model. Participates who were classified into medium- or high-risk by the corresponding strategies would be introduced to lifestyle intervention, while high risk population would take medication in addition. Markov model was used to compare the potential health benefits within 10 years in each scenario, which applied the parameters from this rural northern Chinese cohort, published literatures, meta-analyses and systematic reviews, clinical trials and other cohort studies of Chinese population. Quality-adjusted life year (QALY) gained, cardiovascular diseases (CVD) events/deaths could be prevented and number needed to be screened (NNS) per QALY gained/per CVD event prevented/per CVD death prevented were calculated to compare the effectiveness. One-way sensitivity analysis concerning uncertainty of cardiovascular disease incidence rate and probabilistic sensitivity analysis about the uncertainty of hazard ratios were conducted. RESULTS: Compared with non-screening strategy, the potential health benefits of each strategy were: Strategy 1 would gain QALY of 498 (95%CI: 103-894) and prevent 298 (95%CI: 155-441) CVD events; Strategy 2 would gain QALY of 691 (95%CI: 233-1 149) and prevent CVD events of 374 (95%CI: 181-567); Strategy 3 would gain QALY of 654 (95%CI: 199-1 108) and prevent CVD events of 346 (95%CI: 154-538). Screening strategy based on ChinaPAR risk prediction model (strategy 2 or 3) would be generally better in terms of QALY gained, CVD events/deaths prevented and NNS than the strategy based on numbers of CVD risk factors (all P<0.05 except NNS per QALY gained and NNS per CVD event prevented in 40-74 years). Similar benefits were obtained for the strategy 2 and 3. The results were consistent in the sensitivity analyses on the parameters of incidence rates and hazard ratios. CONCLUSION: Screening people to target increased risks of cardiovascular diseases in this rural northern Chinese population is necessary. Screening strategy based on China-PAR risk prediction model could gain more health benefits than that based on numbers of CVD risk factors.

[Risk factors of pulmonary embolism in senile and non-senile inpatients and the predictive value of Caprini risk assessment model in these two populations].

Objective: To investigate the risk factors of pulmonary embolism (PE) in senile and non-senile inpatients, and evaluate the predictive value of Caprini risk assessment model in these two populations. Methods: Case control study design was used in this study. All the PE patients diagnosed in West China Hospital of Sichuan University between January 2012 and December 2014 was included and divided into senile PE group (age ≥65 years old) and non-senile PE group (age <65 years old). Age matched controls (senile control group and non-senile control group) were selected from the patients admitted into the same departments during the same time period as PE patients, at a ratio of 2∶1. The risk factors of PE for senile and non-senile inpatients were investigated through comparing senile or non-senile PE patients with corresponding controls. All the subjects were retrospectively evaluated by Caprini risk assessment model, and the associations between risk stratifications and PE risk were analyzed. Results: A total of 135 senile PE patients and 212 non-senile PE patients were finally included in this study, with average age of (73.58±6.66) years old and (45.60±13.11) years old, respectively. And 233 age-matched senile controls and 418 non-senile controls were also included. The multivariate analysis showed diabetes (OR=4.08, 95%CI: 1.58-10.51, P=0.004) , heart failure (OR=3.67, 95%CI: 1.10-12.20, P=0.034) , swollen legs (OR=10.50, 95%CI: 5.57-19.79, P<0.001) , severe lung disease (OR=2.05, 95%CI: 1.08-3.90, P=0.028) , patient confined to bed (>72 h) (OR=58.33, 95%CI: 7.46-456.17, P<0.001) were independent risk factors of PE in senile patients, while obesity[body mass index (BMI)≥25 kg/m(2)](OR=2.72, 95%CI: 1.42-5.24, P=0.003), history of deep venous thrombosis (DVT)/PE (OR=17.54, 95%CI: 2.74-112.19, P=0.002) , hip, pelvis, or leg fracture (OR=18.31, 95%CI: 1.97-170.11, P=0.011) , swollen legs (OR=18.53, 95%CI: 11.29-30.40, P<0.001) , severe lung disease ( OR=4.11, 95%CI: 2.41-7.00, P<0.001) , patient confined to bed (>72 h) (OR=4.04, 95%CI: 2.03-8.04, P<0.001) were independent risk factors of PE in non-senile patients. Among the senile patients, the risk of PE increased with the increase of Caprini risk levels; compared with Caprini moderate risk, classifications of high risk and highest risk were associated with 4.64-fold (95%CI: 1.05-20.44, P=0.043) and 10.74-fold (95%CI: 2.46-46.94, P=0.002) increased risk of PE, respectively; within the highest subgroup, the per 2-score increase of Caprini score was associated with 3.02-fold (95%CI: 1.76-5.19, P<0.001) increased risk of PE. Among those non-senile patients, the risk of PE for Caprini low risk and high risk patients was not significantly different, compared with Caprini moderate risk patients; however, the highest risk was still associated with 3.94-fold (95%CI: 2.39-6.51, P<0.001) increased risk of PE compared with moderate risk; within this subgroup, the per 2-score increase of Caprini score was associated with 2.13-fold (95%CI: 1.21-3.73, P=0.008) increased risk of PE. Conclusions: Swollen legs, severe lung disease, confined to bed (>72 h) are common PE risk factors among both senile and non-senile inpatients. Diabetes, heart failure are unique PE risk factors for senile inpatients, while obesity (BMI≥25 kg/m(2)), history of DVT/PE, hip, pelvis, or leg fracture are unique PE risk factors for non-senile inpatients. The Caprini risk assessment model has better predictive value in senile patients than non-senile patients, while Caprini highest risk classification is companied by significantly increased risk of PE in both populations.

Improvement of adequate use of warfarin for the elderly using decision tree-based approaches.

OBJECTIVES: Due to the narrow therapeutic range and high drug-to-drug interactions (DDIs), improving the adequate use of warfarin for the elderly is crucial in clinical practice. This study examines whether the effectiveness of using warfarin among elderly inpatients can be improved when machine learning techniques and data from the laboratory information system are incorporated. METHODS: Having employed 288 validated clinical cases in the DDI group and 89 cases in the non-DDI group, we evaluate the prediction performance of seven classification techniques, with and without an Adaptive Boosting (AdaBoost) algorithm. Measures including accuracy, sensitivity, specificity and area under the curve are used to evaluate model performance. RESULTS: Decision tree-based classifiers outperform other investigated classifiers in all evaluation measures. The classifiers supplemented with AdaBoost can generally improve the performance. In addition, weight, congestive heart failure, and gender are among the top three critical variables affecting prediction accuracy for the non-DDI group, while age, ALT, and warfarin doses are the most influential factors for the DDI group. CONCLUSION: Medical decision support systems incorporating decision tree-based approaches improve predicting performance and thus may serve as a supplementary tool in clinical practice. Information from laboratory tests and inpatients' history should not be ignored because related variables are shown to be decisive in our prediction models, especially when the DDIs exist.

Handwashing behaviour among Chinese adults: a cross-sectional study in five provinces.

OBJECTIVES: To describe the patterns of handwashing behaviour among Chinese adults, and assess their associations with sociodemographic factors and knowledge of hand hygiene. STUDY DESIGN: A representative sample (n = 6159) of Chinese adults aged 18-60 years in five provinces was attained by multiple-stage, stratified sampling mainly based on geographical location and economic status. Data on handwashing behaviour, knowledge of hand hygiene and sociodemographic factors were collected through self-administrated questionnaires. METHODS: Associations between handwashing behaviour and sociodemographic factors were tested in logistic models. Path analysis was applied to examine the associations between sociodemographic factors, knowledge of hand hygiene and proper handwashing behaviour in order to evaluate the relative magnitude of these determinants and internal relationships. RESULTS: This study found that 52.7% (rural vs urban: 44.6% vs 56.8%) and 67.3% (rural vs urban: 59.7% vs 71.1%) of Chinese adults reported they always washed hands before eating and after defaecation, and 30.0% (rural vs urban: 25.1% vs 32.8%) of adults always used soap or other sanitizers during washing. Using the criteria of 'always or very often washing hands with soap before eating and after defaecation without sharing a towel with family members after washing', only 47.2% (rural vs urban: 23.8% vs 59.1%) of the adults were graded to practice proper handwashing behaviour. Urban area, high level of education level, high level of knowledge about diseases, female gender and older age were protective factors for good hand hygiene; of these, area was found to be associated most strongly with handwashing behaviour. CONCLUSIONS: Adherence to an appropriate handwashing method and duration of handwashing are critical problems among Chinese adults. Area difference, level of education and level of knowledge of hand hygiene were most strongly associated with handwashing behaviour, and should be targeted in future health education.

[Dependency structure of the elderly: an examination of women's social position in Taiwan].

"The purpose of the paper is to examine the nature and the structure of elderly women's dependency [in Taiwan] and the underlying socio-cultural-political forces. From the social constructive perspective, we focused on three constructive forces--the Chinese patriarchal/patrilocal family system, the gender role, and the state policy on elderly welfare. Three types of dependency--economic dependency, dependency for personal and health care, and living arrangement--were examined." (SUMMARY IN ENG)