[Thoughts and suggestions on digital services to enhance the level of vaccination management].

With the development of information technology and the increasing demand for vaccination services among the people, it is a definite trend to enhance the quality of vaccination services through digitization. This article starts with a clear concept of digital services for vaccination, introduces the current development status in China and abroad, analyzes the advantages and disadvantages of existing models in leading regions, takes a glean from the summation, and proposes targeted solutions. This study suggests establishing a departmental coordination mechanism for data interconnection and sharing, formulating data standards and functional specifications, enhancing the functionalities of the immunization planning information system, strengthening data collection and analytical usage, and intensifying appointment management and science and health education to provide expert guidance for the construction of digital vaccination services across the country in the future.

[Considerations for the development of adult vaccination in China].

Adult vaccination is an important component of the life-course immunization for all. Strengthening adult vaccination in China contributes to shrinking immunization gaps between regions and groups, enhancing the overall immunity of our population, and promoting health equity and social prosperity. Chinese adults bear the heavy burden of vaccine preventable diseases such as influenza, pneumococcal diseases and shingles, and have low coverage of vaccines against those diseases, so it is necessary to make efforts to improve adult vaccination development. This article focuses on elaborating the values of adult vaccination, introducing the current status of adult vaccination abroad, and analyzing the challenges and existing foundations for China to provide adult vaccination, and makes suggestions for the building and development of adult vaccination.

[Current status of vaccination services for adults in urban and rural areas of nine provinces in China from 2019 to 2021].

Objective: To understand the current situation of vaccination services for adults in China, explore how to establish a stable and efficient vaccination service system for adults, and provide reference for formulating corresponding policies. Methods: The vaccination information systems of nine provinces in China were used to obtain information on urban and rural vaccination of influenza vaccine, 23-valent pneumococcal polysaccharide vaccine (PPV23), and human papillomavirus vaccine (HPV) from 2019 to 2021. The indicator, vaccination rate/full vaccination rate, was used for statistical description. Results: The vaccination rate/full vaccination rate of the three vaccines in eastern China was generally higher than that in central and western China. The vaccination rate/full vaccination rate in urban areas was generally higher than that in rural areas. From 2019 to 2021, the vaccination rates of influenza vaccine among people aged 60 years and above in urban and rural areas were 2.96%, 6.29%, 6.14% and 1.29%, 2.58%, 2.94%, respectively. The vaccination rates of the PPV23 among people aged 60 years and above in urban and rural areas increased year by year, with rates of 0.38%, 1.05%, 1.15% and 0.14%, 0.49%, 0.59%, respectively. From 2019 to 2021, the HPV coverage of female adults aged 27-45 years in urban and rural areas increased year by year, with rates of 0.46%, 0.93%, 1.88% and 0.17%, 0.40%, 1.08%, respectively. Conclusion: The vaccination rates of influenza vaccine,PPV23 vaccine and HPV vaccine for adults in China are relatively low, with higher rates in the eastern region than in the central and western regions, and higher rates in urban areas than in rural areas. It is recommended to formulate corresponding health and economic policies and explore a suitable vaccination service system for adults in China to improve vaccination rates.

[Analysis for dropout of DTaP routine immunization in China in 2019].

Objective: To analyze the dropout of adsorbed diphtheria, tetanus and acellular pertussis combined vaccine (DTaP) routine immunization in China in 2019. Methods: DTaP vaccination data in all counties in China were collected through National Immunization Program Information Management System in 2019. Cumulative dropout rate and vaccination rate of DTaP in different provinces were calculated. According to the P25, P50 and P75 values of DTaP dropout rate for all counties by province, counties in each province were divided into four groups (Q1-Q4). The DTaP average dropout rate of four groups and absolute difference (difference in DTaP average dropout rate between Q4 and Q1) were calculated. Spearman rank correlation was used to analyze the relationship between absolute difference and provincial DTaP dropout rate, DTaP1 and DTaP3 vaccination rate. Results: DTaP1 vaccination rate ranged from 92.98% to 99.94% by province, with a median of 99.55%. Provincial DTaP dropout rate ranged from 0.36% to 28.66%, with a median of 3.54%. The provincial DTaP dropout rate was more than 10% in Gansu and Guizhou, about 28.66% and 17.19%. Absolute difference ranged from 4.02% to 39.22%, with a median of 10.16%. Provinces with the largest absolute difference were Gansu, Qinghai, Liaoning and Guizhou, about 39.22%, 34.48%, 23.31% and 21.33%, respectively. Correlation analysis indicated that the absolute difference was positively correlated with provincial DTaP dropout rate, with a correlation coefficient of 0.492 (P=0.004). It was negatively correlated with DTaP1 and DTaP3 vaccination rate. Correlation coefficients were -0.542 (P=0.001) and -0.562 (P=0.001), respectively. Conclusions: There are significant county-level differences in DTap dropout rate in most provinces, with relatively high difference in western provinces.

[Impact of additional time spent for vaccination services on overall satisfaction rate in parents].

Objective: To understand the overall satisfaction rate with vaccination services in parents of children, and the impact of additional time consumed for vaccination service on overall satisfaction rate. Methods: From December 2019 to January 2020, a total of 3 178 parents of 0-3 years old children were investigated to collect the information about their basic characteristics, additional time spent for vaccination service and overall satisfaction through questionnaires. Binary logistic regression model and restricted cubic spline model were used to evaluate the impact of additional time spend on the overall satisfaction rate. Results: The overall satisfaction rate of parents with vaccination services was 92.32%. The median time for parents to move from home to vaccination clinic was 10.00 (10.00, 20.00) minutes, the median waiting time to make an appointment was 10.00 (5.00, 15.00) minutes, the median waiting time for vaccination was 5.00 (3.00, 10.00) minutes, and the median total additional time spent was 30.00 (20.00, 45.00) minutes. The binary logistic regression analysis showed that after adjusting the relevant factors, the main factors affecting the overall satisfaction rate were the waiting time for making an appointment (the 4- minutes group vs. 8- minutes group: OR=1.863, 95%CI: 1.307-2.657), waiting time for vaccination (the <4 minutes group vs. 8- minutes group: OR=1.529, 95%CI: 1.102-2.120; the 4- minutes group vs. 8- minutes group: OR=1.534, 95%CI: 1.104-2.130), total additional time spent (the 15- minutes group vs. 30- minutes group: OR=1.470, 95%CI: 1.094-1.976). Restricted cubic spline analysis showed that the waiting time for making an appointment (non-linear: χ2=13.18, P=0.001), the waiting time for vaccination (non-linear: χ2=13.50, P=0.001), and the total additional time consumed (non-linear: χ2=9.38, P=0.009) showed a non-linear inverted "V" dose response relationship to the overall satisfaction of vaccination services. Conclusions: The waiting time for parents to make an appointment, the waiting time for vaccination and the total additional time spent for receiving vaccination services affected the overall satisfaction rate of the vaccination services. And the waiting time for making an appointment was the most important factor, and it is necessary to shorten the waiting time for appointment. It is suggested that the vaccination clinic should make use of information technology (such as WeChat public account, APP) to make accurate appointments, make appointments to the time period to control the number of people within time period.

[Analysis of the time for observation and related factors at clinics after vaccination among children's parents].

Objective: To understand the time for observation and related factors in the clinics after vaccination among children's parents. Methods: From December 2019 to January 2020, parents of children aged 0-3 years were recruited by multiple-stage sampling from 34 vaccination clinics in 12 districts and counties in 6 provinces (Shandong, Guangdong, Henan, Sichuan, Inner Mongolia, and Liaoning). A questionnaire survey on the time of observation after vaccination was conducted. A multivariate logistic regression model was used to analyze the related factors of parental observation time after vaccination. Results: A total of 3 292 parents of 0-3 year's old children were selected, and 3 178 parents were finally included in the analysis. 87.85%(2 792/3 178) of the parents reported that the observation time after vaccination at clinics was ≥30 minutes. Multivariate logistic regression analysis showed that, after adjusting for the regions, the main factors affecting the observation time at clinics after vaccination among parents appeared as observation time informed by physicians at the clinic appeared ≥30 minutes (OR=31.622, 95%CI: 19.847-50.384), parents were medical personnel (OR=2.779, 95%CI: 1.505-5.133), parents being volunteers working on vaccination-related publicity and education activities (OR=1.986, 95%CI: 1.438-2.743), parents aged 35 years old or above (OR=1.900, 95%CI: 1.215-2.971), being parents of the first child (OR=1.663, 95%CI: 1.282-2.156), per capita annual income of the family as 8 000- Yuan (OR=1.646, 95%CI: 1.168-2.319), children aged 0-12 months old (OR=1.646, 95%CI: 1.203-2.252) or 13-24 months old (OR=1.506, 95%CI: 1.064-2.133), obedient to physicians' advice at the clinic (OR=1.481, 95%CI: 1.067-2.055). Conclusions: The proportions of parents observed for ≥30 minutes at the clinics of vaccination were high. When the information was from the physicians at the vaccination clinic, the observation time was the most critical factor for parents to observe at clinics as required.

[Study on surveillance data of adverse events following immunization of seasonal influenza vaccine in China during 2015-2018 influenza season].

Objective: To analyze the occurrence features of adverse events following immunization (AEFI) of Seasonal Influenza Vaccines (InfV) used in China, 2015-2018 influenza season. Methods: InfV (including concurrent administered with other vaccines) AEFI data were collected through the Chinese national AEFI information system during 2015.9.1-2018.8.31 (excluding Chinese Hong Kong, Macao and Taiwan data). The vaccine lot release data were collected from National Institutes for Food and Drug Control published database. Time periods of three influenza season were 2015.9.1-2016.8.31, 2016.9.1-2017.8.31, 2017.9.1-2018.8.31. The vaccines used and included in this analysis were trivalent inactivated influenza vaccine (IIV3)-Split, IIV3-Split (Children) and IIV-subnit. The incidence of AEFI were calculated (per 100 000 release doses), and epidemiological characteristic were analyzed using descriptive methodology. Results: A total of 8 464 InfV AEFIs were collected in 2015-2018 influenza season from National AEFI Information System, in which 5 646 were IIV3-split, with the rate of 10.64/100 000 release doses, 2 818 were IIV3-split (Children), with the rate of 9.355/100 000 release doses. The most common symptom was fever (axillary temperature ≥37.1 ℃) within vaccine reactions, with a number of 6 207 cases. In which, there were 3 554 cases with fever (axillary temperature ≥38.6 ℃) and the estimated reporting rate was 4.274/100 000 release doses. In all rare vaccine reactions, the most common diagnosis was anaphylactic rash(442, 0.531/100 000 release doses) and angioedema (70, 0.084/100 000 release doses). Even the rates of serious rare vaccine reactions were low, febrile Convulsion (27, 0.032/100 000 release doses) and Henoch-Schönlein Purpura(HSP) (21, 0.025/100 000 release doses) were relatively common in serious rare vaccine reactions during the study period. Conclusion: The estimated rate of rare vaccine reactions related toInfV was relatively low. In all vaccine reactions, fever was the most common symptoms. The most common diagnosis of non-serious rare vaccine reaction were anaphylactic rash and angioedema. The incidence of serious rare vaccine reactions was low.

Leptin levels and risk of type 2 diabetes: gender-specific meta-analysis.

This meta-analysis aimed to assess the gender-specific differences in the relationship between circulating leptin levels and risk of type 2 diabetes. Published prospective studies that reported the association of leptin levels with risk of type 2 diabetes for a certain gender or those that reported gender-specific associations were considered. Dose-response relationships were assessed by the generalized least squares trend estimation and summary relative risks (RRs) with 95% confidence interval (CI) were computed with the random-effects model. Stratified and sensitivity analyses were also performed to investigate potential sources of heterogeneity. Overall, 11 prospective studies were identified. The summary RR for an increment in leptin levels of 1-log ng mL(-1) was 1.37 (95% CI, 1.13-1.66) for men and 0.96 (95% CI, 0.90-1.03) for women. The differences between genders were statistically significant (P for interaction = 0.006). Subgroup and sensitivity analyses generally confirmed the robustness of these findings. Furthermore, the increased risk in men appeared non-linear, with a tendency to plateau at high levels (P for non-linearity = 0.03). Little evidence of publication bias was found. Collectively, higher leptin levels were found to be associated with elevated risk of type 2 diabetes in men but not in women.