A cost-effectiveness analysis of pre-pregnancy genetic screening for deafness: an empirical study in China.

Objectives: This research aims to assess the effectiveness and cost-effectiveness of pre-pregnancy deafness screening policies. Methods: Married couples from Shanghai, Beijing, and Suzhou in China were enrolled. We conducted high-throughput, pre-pregnancy genetic screenings for deafness in women and their partners. We compared the cost-effectiveness of deafness genetic screening with the status quo. The two-step screening (wife then partner) and following treatments and interventions were included in the decision tree model. We conducted a cost-effectiveness analysis based on the decrease in deaf newborns, healthy newborn births, and cost-utility analysis of pre-pregnancy deafness genetic screening separately. Cost, utility, and probability data used in the three models were collected from a survey combined with literature and expert consultants. A 5% discount rate and a series of one-way sensitivity analyses along with a Monte Carlo simulation were used to test the reliability of this research. Results: Between Jan 1, 2019, and Dec 31, 2021, we recruited 6,200 females and 540 male spouses from community health service centers in Shanghai, Beijing, and Suzhou. The incremental cost-effectiveness ratio (ICER) for reducing deaf newborn births was USD 32,656 per case and USD 1,203,926 per case for increasing one healthy newborn birth. This gap exists because of the overall decrease of newborn births. From the perspective of the whole society, deafness genetic screening is not cost-effective for reducing the overall quality-adjusted life years (QALY) in the population. Discussion: Pre-pregnancy genetic testing is effective in decreasing the occurrence of congenital deafness. It is a cost-saving measure when compared with the costs of future medical expenditure and income loss for the affected families. However, such screening and preventive avoidance of pregnancy will decrease the population size and QALY. Only post-screening ART with PGT was shown to increase the birth of healthy newborns. Focusing on key groups such as premature births or consanguineous couples may improve the societal effects of screening.

Decomposition analysis of health inequalities between the urban and rural oldest-old populations in China: Evidence from a national survey.

The number of Chinese oldest-old (aged 80+) is growing rapidly and some studies have shown that the health status is unequal among older persons in different regions. However, to the best of our knowledge, no study to date has analyzed health inequalities among the oldest-old in urban and rural areas in China. This study therefore aimed to examine the correlation between health inequalities among the oldest-old in urban and rural areas of China. From the 8th wave of the Chinese Longitudinal Health Longevity Survey (CLHLS), we selected 8124 oldest-old participants who met the requirements of the study. Chi-square tests were used to analyze the distribution characteristics of indicators and a logistic model was performed to determine the factors associated with different self-rated health (SRH). The Fairlie model was adopted to decompose the causes and related contributions to health inequality. Our results found that of the Chinese oldest-old, 46.57% were in good health. Urban residents reported significantly better SRH than rural residents (50.17% vs. 45.13%). Variables associated with good and poor SRH had different distribution characteristics. The logistic model suggested that marital status, alcohol consumption, and annual income were important factors underlying the SRH differences. Our decomposition analysis indicated that 76.64% of the SRH differences were caused by observational factors, and validated that the difference in SRH between urban and rural areas was significantly (P<0.05) associated with exercise status (45.44%), annual income (37.64%), social activity status (3.75%), age (-5.27%), and alcohol consumption (-2.66%). Therefore, socioeconomic status and individual lifestyle status were the main factors underlying the health inequality between urban and rural Chinese oldest-old.

Heterogeneous effects of retirement on the biomedical risk factors for cardiovascular and metabolic diseases: New evidence based on the physical examination database in Shanghai, China.

Retirement has a heterogeneous impact depending on gender and occupation. This study aimed to analyze and evaluate the heterogeneity and potential mechanism of retirement on the biomedical risk factors for cardiovascular and metabolic diseases. Physical examination data from 2017 to 2020 were extracted from a hospital database in Shanghai. The fluctuation tendency of biomedical risk factor indicators for cardiovascular and metabolic diseases was evaluated by gender and occupation shortly after retirement using fuzzy regression discontinuity design and was analyzed for internal mechanism. Retirement had a significantly negative influence on body weight (ß = -3.943), body mass index (ß = -2.152), and diastolic blood pressure (ß = -5.180) in women working in public institutions or state-owned enterprises, but a positive influence on their blood glucose level (ß = 0.696). Retirement had a significantly positive effect on high-density lipoprotein in men (ß = 0.138), particularly those employed in private enterprises (ß = 0.339). The internal influencing mechanism of retirement showed that the health attention effect after retirement among women in government or public institutions on diastolic blood pressure reduction was better than that before retirement. The body weight, body mass index, and diastolic blood pressure of women in public institutions or state-owned enterprises were reduced at retirement; however, they were exposed to higher risks of elevated blood glucose level. Conversely, high-density lipoprotein level, which is protective against cardiovascular disease, was increased in men at retirement. Retirement has a heterogeneous effect on cardiovascular and metabolic health among people of different genders or occupational experiences. Retirees with low health awareness should be targeted for behavioral interventions and monitored conscientiously by health providers during retirement adaptation.

Hospital crowdedness evaluation and in-hospital resource allocation based on image recognition technology.

How to allocate the existing medical resources reasonably, alleviate hospital congestion and improve the patient experience are problems faced by all hospitals. At present, the combination of artificial intelligence and the medical field is mainly in the field of disease diagnosis, but lacks successful application in medical management. We distinguish each area of the emergency department by the division of medical links. In the spatial dimension, in this study, the waitlist number in real-time is got by processing videos using image recognition via a convolutional neural network. The congestion rate based on psychology and architecture is defined for measuring crowdedness. In the time dimension, diagnosis time and time-consuming after diagnosis are calculated from visit records. Factors related to congestion are analyzed. A total of 4717 visit records from the emergency department and 1130 videos from five areas are collected in the study. Of these, the waiting list of the pediatric waiting area is the largest, including 10,436 (person-time) people, and its average congestion rate is 2.75, which is the highest in all areas. The utilization rate of pharmacy is low, with an average of only 3.8 people using it at the one time. Its average congestion rate is only 0.16, and there is obvious space waste. It has been found that the length of diagnosis time and the length of time after diagnosis are related to age, the number of diagnoses and disease type. The most common disease type comes from respiratory problems, accounting for 54.3%. This emergency department has congestion and waste of medical resources. People can use artificial intelligence to investigate the congestion in hospitals effectively. Using artificial intelligence methods and traditional statistics methods can lead to better research on healthcare resource allocation issues in hospitals.

The impact of COVID-19-related chronic disease is gradually emerging: discovery and trends from a bibliometric analysis.

OBJECTIVE: To conduct a literature survey of COVID-19-related chronic diseases to inform future research. METHODS: Publications on COVID-19 and chronic disease were retrieved from PubMed using MeSH Major Topic, including the terms COVID-19, SARS-CoV-2, Chronic Disease and Noncommunicable Diseases. Bibliometric features, journals, research areas, countries, funding agencies and citation reports, were extracted from Web of Science and highly cited papers identified and summarized. Fisher's exact probability test was used to associate highly cited papers with countries. RESULTS: A total of 1034 English-language publications were included. Urology/nephrology was the most active research area (n=230), PLOS ONE the most frequently involved journal (n=29) and the United States of America (USA) had the greatest research output (n=223). A medium number of publications were in the areas of hematology and immunology and these papers had a high citation rate. No statistically significant difference was found in the ratio of highly cited papers: total papers across high-output countries (P=0.668). The USA, Europe and China were the sources of the most highly cited articles and productive funding agencies. CONCLUSIONS: The influence of COVID-19 on chronic disease has received considerable attention. Hematology and immunology may continue to be productive research fields. Much research remains to be done to characterize the emerging chronic effects of COVID-19 on human health.

Relationship Between Old-Aged Preferences Regarding Various Types of Physical Activity and Chronic Disease Status: A Cross-Sectional Study in Shanghai, China.

Background: A lack of physical activity (PA) is a threat to public health. However, for the elderly, most PA abilities are limited. By focusing on the types and intensity of PA that the elderly can bear, this study aimed to reveal whether preferences regarding types of PA (including housework, transportation, and recreational activities) and their intensity were associated with health status. The main forms of PA include shopping, cooking, cleaning, walking, cycling, various fitness activities and other activities with a certain intensity. Methods: Surveillance data on chronic diseases and their risk factors were collected from one district of Shanghai in 2017-2018. A Kish table was used for sampling 500 older adults, including the diagnosed group (chronic diseases diagnosed by physicians, n = 119), the abnormal group (not diagnosed but abnormal indicators detected in this investigation, n = 287) and the healthy group (n = 94). Multiple regressions were used to test the relationship between the various types, durations and intensities of PA the elderly individuals participated in and their health status. Results: All three groups included a large proportion of older adults who participated in housework- and transport-related PA. The diagnosed group had the largest proportion (63.06% for housework-related PA; 87.39% for transport-related PA) and median minutes (17.14 min of housework-related PA per day; 30.00 min of transport-related PA per day). The diagnosed group had more metabolic equivalents (METs) of moderate-intensity PA than the two other groups (H = 33.01, P < 0.01), and more people met the WHO recommendation (χ2 = 34.71, P < 0.01). Diagnosis was associated with performing housework- and transport-related PA and moderate-intensity PA and with meeting the WHO's recommendation. Higher education levels were a positive factor for elderly individuals to participate in PA. Conclusions: Transportation and housework activities are good targets for increasing PA in older adults. Diagnosis is associated with older adults' more PA.

The impact of school life and family involvement on Western China junior high school students' wellbeing at multidimensional levels.

BACKGROUND: The focus of students' health concerns has gradually progressed from the single factor of physical health to comprehensive health factors, and the physical and mental health of students are now generally considered together. This study focuses on exploring the status of junior high school students' physical health and their subjective health assessment with the major societal factors that affect students' lives: School Life and Family involvement. In addition, we explore the main factors influencing students' subjective health. METHODS: A cross-sectional survey was conducted with 190 Tibetan junior high school students in the Maozhuang Township. The intentional sampling was used to choose the research object. The structured questionnaire comprised four parts, namely social and demographic information, family condition, school life, and subjective health quality which was assessed by PROMIS (Chinese version of the Pediatric Patient-Reported Outcomes Measurement Information System). RESULT: The average height and weight of boys and girls are statistically different (p-values of 0.026 and 0.044, respectively), but there is no statistically significant difference in BMI (Body Mass Index) between boys and girls (p-value of 0.194). The average values of the five dimensions of depression, anger, anxiety, fatigue, and peer relationships in the PROMIS of the research subjects were 58.9 ± 5.3, 53.3 ± 8.0, 58.1 ± 7.3, 52.8 ± 8.0, 39.3 ± 6.6. In the demographic dimension, the grade was the main factor influencing anger (p < 0.01) and fatigue (p < 0.01), while gender was related to peer relationships (p = 0.02). In the family dimension, the father's educational level was related to peer relationships (p = 0.05), while the family financial situation was related to depression (p = 0.01). In the school life dimension, relationship with classmates was found to affect anger (p = 0.05), while homework was related to anxiety (p = 0.02) and fatigue (p = 0.05). CONCLUSION: the physical health index BMI and subjective health evaluation of students are worse than students of more developed areas in China. Their family environment and school life all have varying degrees of impact on the five subjective health outcomes. There are differences in gender and grade level. The government and society need to pay more attention to the physical and mental health of students in remote and underdeveloped areas and improve their health through a student nutrition plan and the establishment of mental health offices.

Epidemiological evidence relating risk factors to chronic obstructive pulmonary disease in China: A systematic review and meta-analysis.

BACKGROUND: Chronic obstructive pulmonary disease (COPD), the most common chronic respiratory disease worldwide, not only leads to the decline of pulmonary function and quality of life consecutively, but also has become a major economic burden on individuals, families, and society in China. The purpose of this meta-analysis was to explore the risk factors for developing COPD in the Chinese population that resides in China and to provide a theoretical basis for the early prevention of COPD. METHODS: A total of 2457 cross-sectional, case-control, and cohort studies published related to risk factors for COPD in China were searched. Based on the inclusion and exclusion criteria, 20 articles were selected. Stata 11.0 was used for meta-analysis. After merging the data, the pooled effect and 95% confidence intervals (CIs) were calculated to assess the association between risk factors and COPD. Heterogeneity between studies was assessed using I2 and Cochran's Q tests. Begg's test was used to assess publication bias. RESULTS: Exposure to particulate matter less than 2.5 µm in diameter (PM2.5) (pooled effect = 1.73; 95%CI: 1.16~2.58; P <0.01), smoking history (pooled effect = 2.58; 95%CI: 2.00~3.32; P <0.01), passive smoking history (pooled effect = 1.39; 95%CI: 1.03~1.87; P = 0.03), male sex(pooled effect = 1.70; 95%CI: 1.31~2.22; P <0.01), body mass index (BMI) <18.5 kg/m2 (pooled effect = 1.73; 95%CI: 1.32~2.25; P <0.01), exposure to biomass burning emissions (pooled effect = 1.65; 95%CI: 1.32~2.06; P <0.01), childhood respiratory infections (pooled effect = 3.44; 95%CI: 1.33~8.90; P = 0.01), residence (pooled effect = 1.24; 95%CI: 1.09~1.42; P <0.01), and a family history of respiratory diseases (pooled effect = 2.04; 95%CI: 1.53~2.71; P <0.01) were risk factors for COPD in the Chinese population. CONCLUSION: Early prevention of COPD could be accomplished by quitting smoking, reducing exposure to air pollutants and biomass burning emissions, maintaining body mass index between 18.5 kg/m2 and 28 kg/m2, protecting children from respiratory infections, adopting active treatments to children with respiratory diseases, and conducting regular screening for those with family history of respiratory diseases.

Influencing mechanisms of lifestyle and dietary factors on chronic diseases among community residents: updated evidence in Shanghai, China.

OBJECTIVES: This study aimed to determine the risk factors for chronic diseases and to identify the potential influencing mechanisms from the perspectives of lifestyle and dietary factors. The findings could provide updated and innovative evidence for the prevention and control of chronic diseases. DESIGN: A cross-sectional study. SETTING: Shanghai, China. PARTICIPANTS: 1005 adults from Yangpu district of Shanghai participated in the study, and responded to questions on dietary habits, lifestyle and health status. RESULTS: Residents suffering from chronic diseases accounted for about 34·99 % of the respondents. Logistic regression analysis showed that age, diet quality, amount of exercise and tea drinking were related to chronic diseases. Age > 60 and overeating (Diet Balance Index total score > 0) had negative additive interaction on the occurrence of chronic disease, while overexercise (Physical Activity Index > 17·1) and tea drinking had negative multiplicative interaction and negative additive interaction on the occurrence of chronic disease. Diet quality, physical activity and tea drinking were incomplete mediators of the relationship between types of medical insurance residents participating in and chronic diseases. CONCLUSIONS: The residents in Yangpu District of Shanghai have a high prevalence of chronic diseases. Strengthening access of residents to health education and interventions to prevent chronic diseases and cultivating healthy eating and exercise habits of residents are crucial. The nutritional environment of the elderly population should be considered, and the reimbursement level of different types of medical insurance should be designed reasonably to improve the accessibility of medical and health services and reduce the risk of chronic diseases.

Analysis of the Spectrum and Characteristics of Pediatric Cancer Based on Hospital Information Systems in China.

PURPOSE: The purpose of this study was to use the hospital information system to analyze the cancer profile and compare demographics, hospitalization, status of surgery and treatment cost of various cancer categories based on the electronic health record (EHR) of outpatient children with tumors in Shanghai, China. PATIENTS AND METHODS: Information was collected from 3834 inpatients aged 0-18 who were diagnosed with malignant tumors in all 17 hospitals with pediatric wards in the Pudong New District of Shanghai from 2011 to 2016. All patients were classified according to the International Classification of Childhood Cancer-3 (ICCC-3). The chi-squared test was used to compare demographics, hospitalization information, status of surgery and treatment cost according to inpatients' cancer category. RESULTS: In both the malignant non-solid tumor and solid tumor groups, males and those aged 0-4 years were the dominant groups. Lymphocytic leukemia was the most common cancer in all inpatients (n=994, 25.93%), and the acute myeloid leukemia had the longest length of stay of inpatients (median=26.00 days). In both the non-solid and solid tumor groups, patients who received only one type of surgery had an advantage. The highest proportion of patients who had undergone surgery was found in non-Hodgkin lymphoma patients. In terms of total cost, surgical cost and medicine cost, the expenditure of central nervous system tumor patients was the highest. Astrocytoma had the highest total cost. CONCLUSION: Leukemia is common in children with cancer in Pudong and should be given attention. Because the highest financial burden falls on patients with central nervous system tumors and acute myeloid leukemias, the government should take immediate and targeted measures for these cancers in particular.

Should the Government Be Allowed to Take Control over Your Car as Part of a Disaster Management Plan?

INTRODUCTION: With the Safety Ensuring Lives Future Deployment and Research in Vehicle Evolution (SELF DRIVE) Act in the United States, there is a growing interest in autonomous vehicles (AVs). One avenue of innovation would be to use them to mobilize and coordinate response efforts during natural disasters. This study uses an earthquake response in an urban, developed setting as a hypothetical example case study. In this hypothetical scenario, private AVs would be mobilized to help rescue victims from collapsed structures. METHODS: A Markov model compared an intervention arm with AVs to a status quo arm using a hypothetical cohort of American earthquake victims. The three possible health states were trapped but alive, rescued and alive, and dead. The cycle length of the Markov model was 6 h. RESULTS: The cost of deploying AVs was $90,139 relative to $87,869 in status quo arm. Using AVs produced an incremental cost of $2269 (95% credible interval (CI) = $-12,985-$8959). Victims have 7.33 quality-adjusted life years (QALYs) in the intervention arm compared to 7.20 QALYs in the status quo arm, resulting in an incremental gain of 0.13 (95% CI = -0.73-2.19) QALYs. The incremental cost-effectiveness ratio (ICER) was $16,960/QALY gained (95% CI = cost-saving-$69,065/QALY). DISCUSSION: The mobilization of private AVs in the setting of an earthquake has the potential to save money and reduce the loss of life. AVs may advance emergency management competencies.

Factors associated with injuries among tornado victims in Yancheng and Chifeng, China.

BACKGROUND: As extremely violent meteorological disasters, tornadoes often cause serious casualties. The study aims to analyze the characteristics and causes of tornado injuries in China under certain humanistic and geographical conditions. METHODS: A random sampling questionnaire survey was developed and distributed to tornado victims from two separate occurrences: an Enhanced Fujita 4 tornado in Yancheng, and a Fujita 3 tornado in Chifeng. The information of demographic characteristics, disaster environment, and individual behaviors in victims was collected. Chi-square test and binary logistic regression were used to analyze influencing factor of injuries. RESULTS: A total of 94 valid questionnaires (participation rate 95.9%) were finally collected in Yancheng tornado and 67 valid questionnaires (participation rate 93.1%) in Chifeng tornado. Residents' annual income (OR = 0.10, 95% CI 0.02-0.50, P = 0.005), degree of house collapse (OR = 183.12, 95% CI 8.04-4173.34, P = 0.001) have a significant impact on the probability of injury. Differences in tornado disaster drill awareness (P = 0.009), individual behaviors (P = 0.011) and fear level (P = 0.011) significantly affected the incidence of trauma. Whether victims were indoors or not has no statistical difference on injuries in China. CONCLUSIONS: Our study clarifies risk factors and is conducive to the expansion of the investigation in tornado casualties. The government should improve the wind-resistance of residential buildings. Victims should participate in disaster prevention drills to take effective disaster avoidance actions.

Pattern and spectrum of tornado injury and its geographical information system distribution in Yancheng, China: a cross-sectional study.

OBJECTIVES: Few studies of tornado injuries have considered differences related to damage levels and Enhanced-Fujita (EF) scale ratings. This study aimed to evaluate the pattern, spectrum and geographical distribution of injuries related to the Yancheng tornado and provide guidelines for effective emergency medical strategies. SETTING: The study was conducted at three hospitals which treated patients with injuries related to the tornado in Yancheng, China. PARTICIPANTS: We obtained the records of 451 patients with tornado-related injuries. Of these, 401 valid trauma medical records were included; 50 other records were excluded for insufficient information. Informed consent was obtained from all patients by telephone. MAIN OUTCOME MEASURES: We analysed patients' injury sites and types and used the abbreviated injury scale (AIS) to standardise injury severity. Geographical information system and non-parametric tests were used to analyse the effects of geographical factors on casualties. RESULTS: Women, middle-aged/elderly individuals (age>45 years) and children/adolescents (<18 years) accounted for 51.62%, 77.30% and 12.47% of injured patients, respectively. This caused a dumbbell-shaped age distribution. Head (46.63%), body surface (39.90%) and lower-limb (29.43%) injuries were common, as were soft-tissue injuries (90.77%), fractures (38.90%) and organ damage (19.70%). Minor injuries (AIS=1) were common (60.85%), whereas critical/fatal injuries (AIS≥5) were very rare (2.50%). Although the densities of injury varied among damage levels and EF ratings for different areas, area-wise differences in injury severity (AIS scores) were not significant (p>0.05). CONCLUSION: We recommend the use of helmets to prevent head injuries caused by tornadoes and suggest prioritising the treatment of high-risk head and multiple-organ injuries. Additionally, medical rescuers should follow the 'same quality and different quantity' principle: the injured in all affected areas should receive equal attention, but numbers of medical personnel should be allocated based on the level of effects from the tornado.

Research of an emergency medical system for mass casualty incidents in Shanghai, China: a system dynamics model.

OBJECTIVES: Emergency medical system for mass casualty incidents (EMS-MCIs) is a global issue. However, China lacks such studies extremely, which cannot meet the requirement of rapid decision-support system. This study aims to realize modeling EMS-MCIs in Shanghai, to improve mass casualty incident (MCI) rescue efficiency in China, and to provide a possible method of making rapid rescue decisions during MCIs. METHODS: This study established a system dynamics (SD) model of EMS-MCIs using the Vensim DSS program. Intervention scenarios were designed as adjusting scales of MCIs, allocation of ambulances, allocation of emergency medical staff, and efficiency of organization and command. RESULTS: Mortality increased with the increasing scale of MCIs, medical rescue capability of hospitals was relatively good, but the efficiency of organization and command was poor, and the prehospital time was too long. Mortality declined significantly when increasing ambulances and improving the efficiency of organization and command; triage and on-site first-aid time were shortened if increasing the availability of emergency medical staff. The effect was the most evident when 2,000 people were involved in MCIs; however, the influence was very small under the scale of 5,000 people. CONCLUSION: The keys to decrease the mortality of MCIs were shortening the prehospital time and improving the efficiency of organization and command. For small-scale MCIs, improving the utilization rate of health resources was important in decreasing the mortality. For large-scale MCIs, increasing the number of ambulances and emergency medical professionals was the core to decrease prehospital time and mortality. For super-large-scale MCIs, increasing health resources was the premise.

Investigating Lushan Earthquake Victims' Individual Behavior Response and Rescue Organization.

Research concerning the impact of earthquake victims' individual behavior and its association with earthquake-related injuries is lacking. This study examined this relationship along with effectiveness of earthquake rescue measures. The six most severely destroyed townships during the Lushan earthquake were examined; 28 villages and three earthquake victims' settlement camp areas were selected as research areas. Inclusion criteria comprised living in Lushan county for a longtime, living in Lushan county during the 2013 Lushan earthquake, and having one's home destroyed. Earthquake victims with an intellectual disability or communication problems were excluded. The earthquake victims (N (number) = 5165, male = 2396) completed a questionnaire (response rate: 94.7%). Among them, 209 were injured (5.61%). Teachers (p < 0.0001, OR (odds ratios) = 3.33) and medical staff (p = 0.001, OR = 4.35) were more vulnerable to the earthquake than were farmers. Individual behavior was directly related to injuries, such as the first reaction after earthquake and fear. There is an obvious connection between earthquake-related injury and individual behavior characteristics. It is strongly suggested that victims receive mental health support from medical practitioners and the government to minimize negative effects. The initial reaction after an earthquake also played a vital role in victims' trauma; therefore, earthquake-related experience and education may prevent injuries. Self-aid and mutual help played key roles in emergency, medical rescue efforts.

Comparison of influencing factors on outcomes of single and multiple road traffic injuries: A regional study in Shanghai, China (2011-2014).

INTRODUCTION: To identify key intervention factors and reduce road traffic injury (RTI)-associated mortality, this study compared outcomes and influencing factors of single and multiple road traffic injuries (RTIs) in Shanghai. METHODS: Based on the design of National Trauma Data Bank, this study collected demographic, injury, and outcome data from RTI patients treated at the four largest trauma centers in Shanghai from January 2011 to January 2015. Data were analyzed with descriptive statistics, univariate analysis, and hierarchical logistic regression analysis. RESULTS: Among 2397 participants, 59.4% had a single injury, and 40.6% had multiple injuries. Most patients' outcome was cure or improvement. For single-RTI patients, length of stay, body region, central nervous system injury, acute renal failure, multiple organ dysfunction syndrome, bacterial infection, and coma were significantly related to outcome. For multiple-RTI patients, age, admission pathway, prehospital time, length of stay, number of body regions, body region, injury condition, injury severity score, and coma were significantly related to outcome. CONCLUSIONS: Emergency rescue in road traffic accidents should focus on high-risk groups (the elderly), high-incidence body regions (head, thorax, pelvis) and number of injuries, injury condition (central nervous system injury, coma, complications, admission pathway), injury severity (critically injured patients), and time factors (particularly prehospital time).

Study on the Health Status and Health Service Utilization of the Elderly of a Remote and Poor Village in a Mountainous Area in Jinzhai, Anhui.

Background: Despite the rapid development of China's economy, a number of poor areas in China continue to exist. The health status of the elderly in the poor areas is a matter of concern. This study aims to explore the status of the elderly in terms of their health status, health service needs, and utilization among rural residents of a remote and poor village in a mountainous area in Jinzhai, Anhui. Furthermore, this study aims to explore the differences between the nation rural area average level and the remote and poor village in the mountainous area in terms of health status and health service utilization. Methods: Cluster sampling was used to obtain the sample. A total of 110 elderly people were selected from the village, and face-to-face interviews were conducted with questionnaires by trained investigators to collect data. Results: All items except vision, language disability, and self-care disability were found to be higher than the national average level. In terms of mental health, Zishu Village has a ratio of 44.1% for the symptoms of anxiety and depression, which is higher than the average for the national rural areas. The two-week prevalence rate, prevalence of chronic diseases, and non-hospitalization rate of those who need hospitalization (%) in Zishu Village was 62.7%, 88.2%, and 47.6% respectively, which was higher than the rural values of the National Survey (2008). Most of the outpatient visits were to the village clinics, while the hospitalizations were mainly to county hospitals. The two-week visiting rate was 24.1%, which was lower than 2008. The hospitalization rate in Zishu Village was 10.8%, which is similar to the level of 2008. Conclusions: The health level and the utilization of health services of the people in Zishu Village, Jinzhai, are generally lower than the national average. Financial difficulties continue to remain the major factor affecting the utilization of hospitalization services of this remote and poor village in Jinzhai, Anhui.

Comparison of the Ability to Predict Mortality between the Injury Severity Score and the New Injury Severity Score: A Meta-Analysis.

BACKGROUND: Description of the anatomical severity of injuries in trauma patients is important. While the Injury Severity Score has been regarded as the "gold standard" since its creation, several studies have indicated that the New Injury Severity Score is better. Therefore, we aimed to systematically evaluate and compare the accuracy of the Injury Severity Score and the New Injury Severity Score in predicting mortality. METHODS: Two researchers independently searched the PubMed, Embase, and Web of Science databases and included studies from which the exact number of true-positive, false-positive, false-negative, and true-negative results could be extracted. Quality was assessed using the Quality Assessment of Diagnostic Accuracy Studies checklist criteria. The meta-analysis was performed using Meta-DiSc. Meta-regression, subgroup analyses, and sensitivity analyses were conducted to determine the source(s) of heterogeneity and factor(s) affecting the accuracy of the New Injury Severity Score and the Injury Severity Score in predicting mortality. RESULTS: The heterogeneity of the 11 relevant studies (total n = 11,866) was high (I² > 80%). The meta-analysis using a random-effects model resulted in sensitivity of 0.64, specificity of 0.93, positive likelihood ratio of 5.11, negative likelihood ratio of 0.27, diagnostic odds ratio of 27.75, and area under the summary receiver operator characteristic curve of 0.9009 for the Injury Severity Score; and sensitivity of 0.71, specificity of 0.87, positive likelihood ratio of 5.22, negative likelihood ratio of 0.20, diagnostic odds ratio of 24.74, and area under the summary receiver operating characteristic curve of 0.9095 for the New Injury Severity Score. CONCLUSION: The New Injury Severity Score and the Injury Severity Score have similar abilities in predicting mortality. Further research is required to determine the appropriate use of the Injury Severity Score or the New Injury Severity Score based on specific patient condition and trauma type.

Analysis of Factors Influencing Inpatient and Outpatient Satisfaction with the Chinese Military Health Service.

BACKGROUND: Relatively few articles have focused on exploring factors influencing soldiers' overall satisfaction and differences between inpatients' and outpatients' satisfaction, particularly in the Chinese army. Elucidating factors influencing military inpatient and outpatient care separately and analyzing their differences may provide more information for the health system. METHODS: The Revised China National Health Service Survey questionnaire was used in the survey. The questionnaire included 5 sections and 32 items concerning demographic, inpatient, and outpatient characteristics and perception variables for both inpatients and outpatients. Bivariate and multivariate techniques were used to reveal relationships between satisfaction and the variables assessed. RESULTS: Outpatients' and inpatients' overall satisfaction rates were 19.0% and 18.5%, respectively. The strongest determinant of outpatients' satisfaction was satisfaction with doctor's communication regarding therapeutic regimen followed by length of military service, level of trust in medical staff, and disease severity. Determinants of inpatients' satisfaction included staff categories, satisfaction with environment, and satisfaction with medical quality. CONCLUSION: The factors influencing military outpatients' satisfaction differed from those of inpatients. Exploring the causes of satisfaction and dissatisfaction with military health institutions is important in their fulfillment of their responsibility to maintain soldiers' health.

A Comparative Study of Scientific Publications in Health Care Sciences and Services from Mainland China, Taiwan, Japan, and India (2007-2014).

In this study, we aimed to compare the quantity and quality of publications in health care sciences and services journals from the Chinese mainland, Taiwan, Japan, and India. Journals in this category of the Science Citation Index Expanded were included in the study. Scientific papers were retrieved from the Web of Science online database. Quality was measured according to impact factor, citation of articles, number of articles published in top 10 journals, and the 10 most popular journals by country (area). In the field of health care sciences and services, the annual incremental rates of scientific articles published from 2007 to 2014 were higher than rates of published scientific articles in all fields. Researchers from the Chinese mainland published the most original articles and reviews and had the highest accumulated impact factors, highest total article citations, and highest average citation. Publications from India had the highest average impact factor. In the field of health care sciences and services, China has made remarkable progress during the past eight years in the annual number and percentage of scientific publications. Yet, there is room for improvement in the quantity and quality of such articles.