Survey on the self-rated health of doctors and nurses at China′s 144 tertiary public hospitals / 中华医院管理杂志

Objective@#To establish comprehensive understanding of the self-rated health of the Chinese doctors and nurses and probe into their influencing factors.@*Methods@#Data were drawn from a hospital performance survey, which was conducted by the Peking Union School of Public Health from March 18th to April 9th, 2019, among the 144 tertiary public hospitals in 31 provinces, autonomous regions, and municipalities. The survey included a cell-phone based questionnaire filled out by the sampled doctors and nurses, in which they were asked to rate their health using a 5-level Likert scale(from " very poor" to " very good" ). Mann-Whitney U test was used to analyze the differences in self-rated health between doctors and nurses. Chi-square test and two-class multivariate logistic regression were performed to analyze factors affecting self-rated health of the providers.@*Results@#Among the 144 sample hospitals, the proportion of doctors, who rated their health as " healthy" , was 20.30%(4 979/24 529), that of nurses was 28.92%(8 361/28 910). It was worse than that in some developed countries and lower than the general population in China. Multi-variate analysis showed that adequate sleeping time, satisfaction with the work and with the doctor-patient relationship, were positively associated with the level of self-rated health of the sampled doctors and nurses(P<0.05). It was also found that the longer the average weekly working time, the higher the recognition of " the work load is too heavy" , the lower the proportion of doctors and nurses who rated their health as " healthy" (P<0.05).@*Conclusions@#Sleep time, job satisfaction, workload and doctor-patient relationship are important factors affecting self-rated health of the Chinese doctors and nurses.

Major findings from the 4th Evaluation of the National Healthcare Improvement Initiative / 中华医院管理杂志

Objective@#To carry out the 4th round of third-party evaluation on the implementation and effect of the 1st year of the 2nd Phase National Healthcare Improvement Initiative(abbreviated as Initiative)since 2015.@*Methods@#The 4th round of the evaluation survey adopted the same methods, organization and execution, and technical roadmap as the former three rounds of evaluations.@*Results@#The 4th round of evaluation was carried out from 18 March to 9 April, 2019 at 185 public hospitals in 31 provinces(autonomous regions, municipalities directly under the Central Government)and Xinjiang Production and Construction Corps.Facility survey, health professional survey and patient survey were conducted at each of the sample health facilities. A total of 120 782 valid questionnaires were collected from 144 non-psychiatric health facilities, 16 246 valid questionnaires were obtained from 41 psychiatric health facilities, and 252 cases of outstanding departments/hospitals in healthcare improvement were also collected. The average overall scoring of the 12 dimensions to assess Initiative implementation at 144 non-psychiatric health facilities was 84.4%. The overall outpatient satisfaction scoring was 91.1%, 96.7%for the inpatients. The overall inpatient satisfaction(family members inclusive) at 41 psychiatric health facilities was 93%. Areas remaining to be improved include day-surgery, telemedicine and medical social work. Compared with technical services, non-technical care should be further strengthened. The compensation, workload and work environment of the healthcare providers are still to be improved.@*Conclusions@#The implementation of the Initiative by health facilities has been greatly improved. The percentage of health facilities and patients who had positive perceptions of improved doctor-patient relationship has been increasing. Patient care experiences at public hospitals have been generally improved, and the implementation of promoting traditional Chinese Medicine practices also made progress. However, work satisfaction of healthcare providers was found to be rather low, compared to the high level of patient satisfaction.

Survey on the self-rated health of doctors and nurses at China′s 144 tertiary public hospitals / 中华医院管理杂志

Objective To establish comprehensive understanding of the self-rated health of the Chinese doctors and nurses and probe into their influencing factors. Methods Data were drawn from a hospital performance survey, which was conducted by the Peking Union School of Public Health from March 18th to April 9th, 2019, among the 144 tertiary public hospitals in 31 provinces, autonomous regions, and municipalities. The survey included a cell-phone based questionnaire filled out by the sampled doctors and nurses, in which they were asked to rate their health using a 5-level Likert scale(from " very poor" to " very good" ). Mann-Whitney U test was used to analyze the differences in self-rated health between doctors and nurses. Chi-square test and two-class multivariate logistic regression were performed to analyze factors affecting self-rated health of the providers. Results Among the 144 sample hospitals, the proportion of doctors, who rated their health as " healthy" , was 20.30% (4 979/24 529), that of nurses was 28.92% (8 361/28 910). It was worse than that in some developed countries and lower than the general population in China. Multi-variate analysis showed that adequate sleeping time, satisfaction with the work and with the doctor-patient relationship, were positively associated with the level of self-rated health of the sampled doctors and nurses(P<0.05). It was also found that the longer the average weekly working time, the higher the recognition of " the work load is too heavy" , the lower the proportion of doctors and nurses who rated their health as " healthy" (P <0.05). Conclusions Sleep time, job satisfaction, workload and doctor-patient relationship are important factors affecting self-rated health of the Chinese doctors and nurses.

Major findings from the 4th Evaluation of the National Healthcare Improvement Initiative / 中华医院管理杂志

Objective To carry out the 4th round of third-party evaluation on the implementation and effect of the 1st year of the 2nd Phase National Healthcare Improvement Initiative ( abbreviated as Initiative) since 2015. Methods The 4th round of the evaluation survey adopted the same methods, organization and execution, and technical roadmap as the former three rounds of evaluations.Results The 4th round of evaluation was carried out from 18 March to 9 April, 2019 at 185 public hospitals in 31 provinces ( autonomous regions, municipalities directly under the Central Government ) and Xinjiang Production and Construction Corps. Facility survey, health professional survey and patient survey were conducted at each of the sample health facilities. A total of 120 782 valid questionnaires were collected from 144 non-psychiatric health facilities, 16 246 valid questionnaires were obtained from 41 psychiatric health facilities, and 252 cases of outstanding departments/hospitals in healthcare improvement were also collected. The average overall scoring of the 12 dimensions to assess Initiative implementation at 144 non-psychiatric health facilities was 84.4%. The overall outpatient satisfaction scoring was 91.1% , 96.7% for the inpatients. The overall inpatient satisfaction(family members inclusive) at 41 psychiatric health facilities was 93%. Areas remaining to be improved include day-surgery, telemedicine and medical social work. Compared with technical services, non-technical care should be further strengthened. The compensation, workload and work environment of the healthcare providers are still to be improved. Conclusions The implementation of the Initiative by health facilities has been greatly improved. The percentage of health facilities and patients who had positive perceptions of improved doctor-patient relationship has been increasing. Patient care experiences at public hospitals have been generally improved, and the implementation of promoting traditional Chinese Medicine practices also made progress. However, work satisfaction of healthcare providers was found to be rather low, compared to the high level of patient satisfaction.

Job satisfaction and influencing factors of medical staff at 136 tertiary hospitals in China / 中华医院管理杂志

Objective To investigate job satisfaction and influencing factors of medical staff in China.Methods From December 2017 to January 2018, based on the third round third-party evaluation of the Healthcare Improvement Initiative, data on job satisfaction of medical staff at 136 tertiary public hospitals in 31 provinces of China were collected.Chi-square test and binary multivariate logistic regression were used to analyze the influencing factors of job satisfaction.Results The job satisfaction of medical staff at 136 sample hospitals was relatively low. 34.6% of the doctors were satisfied with their job, while the corresponding rate in the nurses was 48.7%. Multi-factor analysis showed that income level, workload, doctor-patient relationship, hospital′s compensation policy, and promotion policy were all significant factors influencing medical staff′s job satisfaction ( workload OR <1, remaining variables OR >1, P <0.05 ). Conclusions Improvement of the medical staff′s job satisfaction depends on optimizing their income distribution policy, increasing their income, improving the promotion policy of professional titles, reducing their workload rationally and building a harmonious relationship between doctors and patients.

Analysis of influencing factors of medical staffs' perceptions ondoctor-patient relationship / 中华医院管理杂志

Objective To understand the current situation of doctors and nurses perceptions on doctor-patient relationship and its main influencing factors, and to make recommendations for further healthcare improvement. Methods Based on the survey results of the third-party evaluation of the National Healthcare Improvement Initiative of 136 public tertiary hospitals, we analyzed the doctors' and nurses' perceptions on doctor-patient relationship and the influencing factors. SAS 9.4 software was used to conduct variance test of doctors' and nurses' basic information and multivariate logistic regression analysis of the influencing factors of doctors' and nurses' perceptions on doctor-patient relationship. Results The recognition of doctors and nurses on the statement of "doctor-patient relationship has been getting better", their career identity and hoping children to study medicine varied significantly (P <0.05) with hospital type,age, department, academic rank, and annual income. The main influencing factors were patients' satisfactions and medical liability insurance (OR>1, P<0.05). Another main positive influencing factor was the communication duration between the doctor and outpatient(OR>1,P<0.05). Conclusions It is imperative to protect rights of doctors and nurses by enforcing relevant laws and regulations, and improving existing medical dispute handling mechanism. Other measures to this end include higher pay for medical workers equivalent to their value and career identity;media guidance by the government,which will all help create a better medical environment and doctor-patient relationship.

A novel real-time quantitative PCR method for analyzing HLA-C allele expression level / 中国免疫学杂志

Objective: To establish real-time qPCR method to analyze each HLA-C allele expression level of individual.Methods:Database including exon 2&3 sequences of HLA class Ⅰalleles was built ,HLA-C allelic specific primers were designed and the real-time quantitative PCR method for analyzing HLA-C allele expression level was built .The allelic specificity of these primers were confirmed in database and 835 normal peripheral blood samples of Han population .The mRNA level of each HLA-C allele from 20 pairs of liver tumor tissues and non-tumor tissues was analyzed by the qPCR method we built .Results:20 pairs of allelic specific primers were designed to distinguish the two HLA-C alleles of each individual with frequency over 0.96%in 835 cases of Han population.Among 55%of the liver cancer tissues ,the expression levels of the two HLA-C alleles from the same tumor tissue changes differently compared to that of the relevant non-tumor tissue.Conclusion:This study provides method for HLA-C allele expression level analysis of Han population and each HLA-C allele expression level is inconsistent of liver cancer tissue .