Objective: To assess the trend of early beta receptor blocker (β-blocker) application (with 24h of admission) for acute myocardial infarction (AMI) patients in western rural China from 2001 to 2011. Methods: A 2-stage random sampling design was performed. The 1st stage: a simple random sampling was used to identify participating hospitals and the 2nd stage: a systematic random sampling approach was conducted in 3 specific years of 2001, 2006 and 2011 to take case study for central medical information abstraction. The changing trends and impact factors of early β-blocker application for AMI patients in western rural area were assessed by multivariate model analysis. Results: 35 hospitals were sampled and 33 of them were finally participated. With necessary exclusion, a total of 486 AMI patients without β-blocker contraindication were enrolled for 2 groups: Suitable group, the patients were suitable for early β-blocker application, n=247 and High risk group, the patients with the high risk for shock occurrence, n=239. The application rates for β-blocker within 24h of admission at 2001, 2006 and 2011 in Suitable group were 19.06%, 54.30% and 56.20%, Ptrend=0.0020; in High risk group were 31.53%, 59.49% and 69.62%, Ptrend=0.0001. In Suitable group, the patients with history of hypertension (OR=1.87, 95% CI 1.06-3.29), smoking (OR=1.97, 95% CI 1.11-3.48) or admitted in 2006 (OR=2.93, 95% CI 1.22-7.03) and 2011(OR=4.67, 95% CI 2.06-10.59) had the higher chance to use β-blocker within 24h of admission. Conclusion: Application of β-blocker within 24h of admission in AMI patients presented the increasing trend in western rural China from 2001 to 2011, while there was still difference from the guideline recommendation. Improved normative application of β-blocker is helpful to enhance the quality of care and prognosis in AMI patients.

Objective To understand the present situation and requirements of health education in schistosomiasis control in Hubei Province,so as to improve the health education to the targeted people. Method Through the questionnaire survey and field investigation,the data of the present situation and requirements of health education in schistosomiasis control were collect-ed in 24 counties(cities)of Hubei Province,and these data included the related institution structure of health education,basic information of personnel,equipment,funds,and health education working form. All the data collected were analyzed and evalu-ated. Results Among the 24 counties,there were 12 independent departments of health education,accounting for 50%. In terms of the basic information of the health education staff,the youngest person was 34 years old and the eldest was 58 years old,and the mean age was 46.55± 6.9 years. For the formal school education of the staff,5 had senior high school or below edu-cation (20.8%),16 had college education (66.7%),3 had bachelor degree or above (12.5%). There were 10 counties (41.70%)with the special funds for health education work but there were 3 counties(12.50%)without the special funds. Con-clusion The effectiveness of health education work in schistosomiasis control is remarkable,but there are still deficiencies in professional staff and funds in Hubei Province.

Objective Skin disease is multiple,common disease,and there are so many therapeutic methods.In recent years,physical non-invasive therapy of skin disease has developed rapidly.On the basis of Pennes equation,a series of simulation analysis was completed,and the results confirmed the feasibility and availability as well as the definite safety of curing skin diseases by direct heating.In order to achieve the maximum efficacy and the minimum side effects simultaneously and based on the previous research,exploratory simulation experiment of non-isothermal heating was carried out.Methods The skin temperature fields with non-isothermal heating were simulated by utilizing mathematical tools (Matlab).Results Compared to the previous isothermal heating,during the non-isothermal heating,the temperature of inner skin displayed the rising trend,while it displayed the declining trend during the isothermal heating.Conclusion As compared to isothermal heating,non-isothermal heating has better restraining effect for the bacterium within the inner skin,and less side-effect.

RhD-negative pregnant women with an RhD-positive fetus are at risk of hemolytic disease of the fetus and newborn (HDFN), which may lead to fetal/neonatal death. While these would not affect those RhD-negative fetuses. With the advancement of technology in genetics, the administration of anti-D immunoglobulin to women with an RhD-positive fetus could reduce the risk of HDFN. Therefore, non-invasive prenatal testing on fetal RHD genotype plays an important role in the management of RhD-negative pregnant women. Selective usage of anti-D immunoglobulin is important in perinatal management in these women. The non-invasive prenatal screening for fetal RHD gene which has been carried out in Caucasian is not applicable to Asians because of the difference in RHD genotype. In addition to complete or partial RHD gene deletion, point mutations are also common RHD genotypes among Asians. This enlightens us to establish a non-invasive prenatal screening method for Asians. This article reviews the progress of fetal RHD screening in Asian RhD-negative pregnant women.

Objective:To observe any effect of functional magnetic stimulation (FMS) of the sacral 3 nerve root on relieving urine retention after a spinal cord injury.Methods:Forty-four patients with neurogenic bladder disorders after a spinal cord injury were divided at random into a 5Hz group ( n=14), a 20Hz group ( n=15), and a sham stimulation group ( n=15). In addition to conventional bladder control training, the 5Hz and 20Hz groups were given 20 minutes of FMS of the sacral 3 nerve root at the appropriate frequency five days a week for 4 weeks. The sham stimulation group was not given any stimulation. A detailed urination diary was kept during the treatment, and before and after the 4 weeks, everyone′s bladder pressure volume was assessed and an electromyogram was recorded. Results:After the treatment those in the 5Hz and 20Hz groups had improved significantly in terms of average bladder capacity, bladder pressure, residual urine volume, daily number of urethral catheterizations, daily micturition frequency, single urine output, H-reflex latency, and the amplitude and incubation period of the F wave. Those in the sham stimulation group showed no consistent improvement in any of these indicators. Moreover, the average residual urine volume, daily urination frequency and H-reflex latency and amplitude of the 20Hz group were significantly better than those of the 5Hz group.Conclusions:Magnetic stimulation of the S3 nerve roots can effectively improve the urination of persons with neurogenic bladder disorders after a spinal cord injury. The preferred frequency is 20Hz.

Objective To explore the doctor's willingness to adopt artificial intelligence aided diagnosis and treatment system(ADTS)and its influencing factors,clarify the key links in the implementation of ADTS,and then propose suggestions for optimizing technology and management.Methods On the basis of UTAUT model,factors such as perceived risk,cognitive trust and legal supervision were added to design a questionnaire.After pre-investigation,226 officially recovered questionnaire data were analyzed for reliability and validity,hypothesis testing and SEM fitting,and the relationship chain model of doctors'ADTS adoption intention was obtained.Results Performance expectation,cognitive trust and social influence have a direct positive impact on doctors'willingness,among which social influence has the greatest effect.Facilitating conditions and legal supervision have indirect influence.It also found that doctors who have used ADTS have higher scores in various aspects such as performance expectations,effort expectations,and learning adaptability.Conclusion To implement the application of ADTS,attention should be paid to training,the software and hardware operation and maintenance system,and risk responsibility regulations should be improved,requiring joint efforts from multiple parties.

Objective To explore the doctor's willingness to adopt artificial intelligence aided diagnosis and treatment system(ADTS)and its influencing factors,clarify the key links in the implementation of ADTS,and then propose suggestions for optimizing technology and management.Methods On the basis of UTAUT model,factors such as perceived risk,cognitive trust and legal supervision were added to design a questionnaire.After pre-investigation,226 officially recovered questionnaire data were analyzed for reliability and validity,hypothesis testing and SEM fitting,and the relationship chain model of doctors'ADTS adoption intention was obtained.Results Performance expectation,cognitive trust and social influence have a direct positive impact on doctors'willingness,among which social influence has the greatest effect.Facilitating conditions and legal supervision have indirect influence.It also found that doctors who have used ADTS have higher scores in various aspects such as performance expectations,effort expectations,and learning adaptability.Conclusion To implement the application of ADTS,attention should be paid to training,the software and hardware operation and maintenance system,and risk responsibility regulations should be improved,requiring joint efforts from multiple parties.

Objective To explore the doctor's willingness to adopt artificial intelligence aided diagnosis and treatment system(ADTS)and its influencing factors,clarify the key links in the implementation of ADTS,and then propose suggestions for optimizing technology and management.Methods On the basis of UTAUT model,factors such as perceived risk,cognitive trust and legal supervision were added to design a questionnaire.After pre-investigation,226 officially recovered questionnaire data were analyzed for reliability and validity,hypothesis testing and SEM fitting,and the relationship chain model of doctors'ADTS adoption intention was obtained.Results Performance expectation,cognitive trust and social influence have a direct positive impact on doctors'willingness,among which social influence has the greatest effect.Facilitating conditions and legal supervision have indirect influence.It also found that doctors who have used ADTS have higher scores in various aspects such as performance expectations,effort expectations,and learning adaptability.Conclusion To implement the application of ADTS,attention should be paid to training,the software and hardware operation and maintenance system,and risk responsibility regulations should be improved,requiring joint efforts from multiple parties.

Objective To explore the doctor's willingness to adopt artificial intelligence aided diagnosis and treatment system(ADTS)and its influencing factors,clarify the key links in the implementation of ADTS,and then propose suggestions for optimizing technology and management.Methods On the basis of UTAUT model,factors such as perceived risk,cognitive trust and legal supervision were added to design a questionnaire.After pre-investigation,226 officially recovered questionnaire data were analyzed for reliability and validity,hypothesis testing and SEM fitting,and the relationship chain model of doctors'ADTS adoption intention was obtained.Results Performance expectation,cognitive trust and social influence have a direct positive impact on doctors'willingness,among which social influence has the greatest effect.Facilitating conditions and legal supervision have indirect influence.It also found that doctors who have used ADTS have higher scores in various aspects such as performance expectations,effort expectations,and learning adaptability.Conclusion To implement the application of ADTS,attention should be paid to training,the software and hardware operation and maintenance system,and risk responsibility regulations should be improved,requiring joint efforts from multiple parties.

Objective To explore the doctor's willingness to adopt artificial intelligence aided diagnosis and treatment system(ADTS)and its influencing factors,clarify the key links in the implementation of ADTS,and then propose suggestions for optimizing technology and management.Methods On the basis of UTAUT model,factors such as perceived risk,cognitive trust and legal supervision were added to design a questionnaire.After pre-investigation,226 officially recovered questionnaire data were analyzed for reliability and validity,hypothesis testing and SEM fitting,and the relationship chain model of doctors'ADTS adoption intention was obtained.Results Performance expectation,cognitive trust and social influence have a direct positive impact on doctors'willingness,among which social influence has the greatest effect.Facilitating conditions and legal supervision have indirect influence.It also found that doctors who have used ADTS have higher scores in various aspects such as performance expectations,effort expectations,and learning adaptability.Conclusion To implement the application of ADTS,attention should be paid to training,the software and hardware operation and maintenance system,and risk responsibility regulations should be improved,requiring joint efforts from multiple parties.