Globally, vaccine hesitancy is a growing public health problem. It is detrimental to the consolidation of immunization program achievements and elimination of vaccine-targeted diseases. The objective of this study was to estimate the prevalence of COVID-19 vaccine hesitancy in China and explore its contributing factors. A national cross-sectional online survey among Chinese adults (≥18 years old) was conducted between August 6, 2021 and August 9 via a market research company. We collected sociodemographic information; lifestyle behavior; quality of life; the knowledge, awareness, and behavior of COVID-19; the knowledge, awareness, and behavior of COVID-19 vaccine; willingness of COVID-19 vaccination; accessibility of COVID-19 vaccination services; skepticism about COVID-19 and COVID-19 vaccine; doctor and vaccine developer scale; and so on. Odds ratios (OR) with 95% confidence intervals (CI) were used to estimate the associations by using logistic regression models. A total of 29,925 residents (48.64% men) were enrolled in our study with mean age of 30.99 years. We found an overall prevalence of COVID-19 vaccine hesitancy at 8.40% (95% CI, 8.09–8.72) in primary vaccination and 8.39% (95% CI, 8.07–8.70) in booster vaccination. In addition, after adjusting for potential confounders, we found that women, higher educational level, married residents, higher score of health condition, never smoked, increased washing hands, increased wearing mask, increased social distance, lower level of vaccine conspiracy beliefs, disease risks outweigh vaccine risk, higher level of convenient vaccination, and higher level of trust in doctor and developer were more willing to vaccinate than all others (all p < 0.05). Age, sex, educational level, marital status, chronic disease condition, smoking, healthy behaviors, the curability of COVID-19, the channel of accessing information of COVID-19 vaccine, endorsement of vaccine conspiracy beliefs, weigh risks of vaccination against risks of the disease, making a positive influence on the health of others around you, and lower trust in healthcare system may affect the variation of willingness to take a COVID-19 vaccine (all p < 0.05). The prevalence of COVID-19 vaccine hesitancy was modest in China, even with the slight resulting cascade of changing vaccination rates between the primary and booster vaccination. Urgent action to address vaccine hesitancy is needed in building trust in medical personnel and vaccine producers, promoting the convenience of vaccination services, and spreading reliable information of COVID-19 vaccination via the Internet and other media.

Grand multiparity has been associated with increased risks of adverse pregnancy outcomes such as post-partum hemorrhage,gestational hypertension, gestationaldiabetes mellitus and high perinatal mortality.There is limited information about the impact of high parity on pregnancy outcomes in Tanzania. This study aimed to determine prevalence, trend and associated adverse pregnancy outcomes of grand multiparity in a tertiary hospital in Northern Tanzania. A retrospective cross-sectional study was conducted at Kilimanjaro Christian Medical Centre (KCMC) using maternally linked data from medical birth registry. Women with singleton deliveries from 2006 to 2014 were analyzed. The prevalence of grand-multiparity was computed as proportion to estimate the trend over years. Adverse pregnancy outcomes associated with grand multiparity were estimated using multivariable logistic regression models. A p-value of < 0.05 was considered statistically significant. The overall prevalence of grand multiparity was 9.44% ranging from 9.72% in 2006 to 8.49% in 2014. The grand multiparous women had increased odds of prelabour rupture of membranes (Adjusted odds ratio [AOR] 1.78: 95% CI:1.28–2.49), stillbirth (AOR 1.66: 95% CI:1.31–2.11) and preterm birth delivery (AOR 1.28; 95% CI: 1.05–1.56) as compared to women in the lower parity group. The prevalence of grand multiparity among women in North-Tanzania was 9.44%. It was significantly associated with adverse pregnancy outcomes. This calls for a need to increase community awareness on its risks, encourage birth control among older women. Delivery-care facilities should prepare for emergency situation when attending deliveries of high parity group.

As the coronavirus disease (COVID-19) takes its course outside China, the number of imported cases to other countries is on the rise. Currently, Tanzania has received the first imported case on 16 March 2020. This letter serves to describe this specific event and put forth a number of recommendations including establishing more testing points, discouraging all forms of public and religious gatherings, and tailoring a unique model for lockdown and social distancing to prevent further spread of the disease. The letter has also suggested ways to further improve the efforts already in place so as to strengthen the prevention and control system.

Background: The level of outpatient satisfaction plays a significant role in improving the quality and utilization of healthcare services. Patient satisfaction gives providers insights into various aspects of services including the effectiveness of care and level of empathy. This study aimed to evaluate the level of patient satisfaction in the outpatient department and to explore its influencing factors in large hospitals (accommodating over 1000 beds) of Henan province, China.Methods: We analyzed data from Henan Large Hospitals Patient Satisfaction Survey conducted in the year 2018 and included 630 outpatients. Structural Equation Model (SEM) was used to explore the relationship among evaluation indicators of outpatient satisfaction levels. We used Dynamic Matter-Element Analysis (DMA) to evaluate the status of outpatient satisfaction. Binary Logistic Regression (BLR) was adopted to estimate the impact of personal characteristics towards outpatient satisfaction.Results: The overall score for outpatient satisfaction in large hospitals was 66.28±14.73. The mean outpatient satisfaction scores for normal-large, medium-large, and extra-large hospitals were 63.33±12.12, 70.11±16.10, 65.41±14.67, respectively, and were significantly different (F= 11.953,P< 0.001). Waiting time, doctor-patient communication, professional services, and accessibility for treatment information were shown to have directly positive correlations with outpatient satisfaction (r= 0.42, 0.47, 0.55, 0.46, allP< 0.05). Results from BLR analysis revealed that patients’ age and frequency of hospital visits were the main characteristics influencing outpatient satisfaction (P< 0.05).Conclusions: The outpatient satisfaction of large hospitals is moderately low. Hospital managers could shorten the waiting time for outpatients and improve the access to treatment information to improve the satisfaction of outpatients. It is also necessary to enhance service provision for outpatients under the age of 18 as well as the first-time patients.