The way forward to achieve high COVID-19 vaccination and revaccination coverage in a city amid a period of tranquility

Background Amid the current COVID-19 pandemic, there is an urgent need for both vaccination and revaccination (“boosting”). This study aims to identify factors associated with the intention to receive a booster dose of the coronavirus (COVID-19) vaccine among individuals vaccinated with two doses and characterize their profiles in Hong Kong, a city with a low COVID-19 incidence in the initial epidemic waves. Among the unvaccinated, vaccination intention is also explored and their profiles are investigated. Methods From December 2021 - January 2022, an online survey was employed to recruit 856 Hong Kong residents aged 18 years or over from an established population-based cohort. Latent class analysis and multivariate logistic regression modeling approaches were used to characterize boosting intentions. Results Of 638 (74.5%) vaccinated among 856 eligible subjects, 42.2% intended to receive the booster dose. Four distinct profiles emerged with believers having the highest intention, followed by apathetics, fence-sitters and skeptics. Believers were older and more likely to have been vaccinated against influenza. Older age, smoking, experiencing no adverse effects from a previous COVID-19 vaccination, greater confidence in vaccines and collective responsibility, and fewer barriers in accessing vaccination services were associated with higher intentions to receive the booster dose. Of 218 unvaccinated, most were fence-sitters followed by apathetics, skeptics, and believers. Conclusion This study foretells the booster intended uptake lagging initial vaccination across different age groups and can help refine the current or future booster vaccination campaign. Given the fourth COVID-19 vaccine dose may be offered to all adults, strategies for improving boosting uptake include policies targeting young adults, individuals who experienced adverse effects from previous doses, fence-sitters, apathetics, and the general public with low trust in the health authorities.

The Association between mHealth App Use and Healthcare Satisfaction among Clients at Outpatient Clinics: A Cross-Sectional Study in Inner Mongolia, China.

Mobile health (mHealth) applications (apps) have been developed in hospital settings to allocate and manage medical care services, which is one of the national strategies to improve health care in China. Little is known about the comprehensive effects of hospital-based mHealth app use on client satisfaction. The aim of this study was to determine the relationship between the full range of mHealth app use and satisfaction domains among clients attending outpatient clinics. A cross-sectional survey was conducted from January to February 2021 in twelve tertiary hospitals in Inner Mongolia. After the construction of the mHealth app use, structural equation modeling was used for data analysis. Of 1889 participants, the standardized coefficients ß on environment/convenience, health information, and medical service fees were 0.11 (p < 0.001), 0.06 (p = 0.039), and 0.08 (p = 0.004), respectively. However, app use was not significantly associated with satisfaction of doctor-patient communication (ß = 0.05, p = 0.069), short-term outcomes (ß = 0.05, p = 0.054), and general satisfaction (ß = 0.02, p = 0.429). Clients of the study hospitals were satisfied with the services, but their satisfaction was not much associated with mHealth use. The limitation of the mHealth system should be improved to enhance communication and engagement among clients, doctors, and healthcare givers, as well as to pay more attention to health outcomes and satisfaction of clients.

The Sociodemographic Digital Divide in Mobile Health App Use Among Clients at Outpatient Departments in Inner Mongolia, China: Cross-sectional Survey Study.

BACKGROUND: Mobile health (mHealth) apps have become part of the infrastructure for access to health care in hospitals, especially during the COVID-19 pandemic. However, little is known about the effects of sociodemographic characteristics on the digital divide regarding the use of hospital-based mHealth apps and their benefits to patients and caregivers. OBJECTIVE: The aim of this study was to document the cascade of potential influences from digital access to digital use and then to mHealth use, as well as the potential influence of sociodemographic variables on elements of the cascade. METHODS: A cross-sectional survey was conducted from January to February 2021 among adult clients at outpatient departments in 12 tertiary hospitals of Inner Mongolia, China. Structural equation modeling was conducted after the construct comprising digital access, digital use, and mHealth use was validated. RESULTS: Of 2115 participants, the ß coefficients (95% CI) of potential influence of digital access on digital use, and potential influence of digital use on mHealth use, were 0.28 (95% CI 0.22-0.34) and 0.51 (95% CI 0.38-0.64), respectively. Older adults were disadvantaged with regard to mHealth access and use (ß=-0.38 and ß=-0.41), as were less educated subgroups (ß=-0.24 and ß=-0.27), and these two factors had nonsignificant direct effects on mHealth use. CONCLUSIONS: To overcome the mHealth use divide, it is important to improve digital access and digital use among older adults and less educated groups.

Will achieving herd immunity be a road to success to end the COVID-19 pandemic?

As the COVID-19 pandemic continues, the availability of several different new vaccines, their varying supply levels, effectiveness, and immunity duration across different ethnic populations, together with natural infection rates, will have an impact on when each country can reach herd immunity (ranging from 15.3% to 77.1%). Here we estimate the population proportions still required to gain immunity (ranging from 0.01% to 48.8%) to reach an overall herd immunity level to stop the exponential virus spread in 32 selected countries.

Difference in Biomarkers Between COVID-19 Patients and Other Pulmonary Infection Patients.

BACKGROUND: The pandemic due to the novel coronavirus disease 2019 (COVID-19) has resulted in an increasing number of patients need to be tested. We aimed to determine if the use of integrated laboratory data can discriminate COVID-19 patients from other pulmonary infection patients. METHODS: This retrospective cohort study was conducted at Kunming Third People's Hospital in China from January 20 to February 28, 2020. Medical records and laboratory data were extracted and combined for COVID-19 and other pulmonary infection patients on admission. A partial least square discriminant analysis (PLS-DA) model was constructed and calibrated to discriminate COVID-19 from other pulmonary infection patients. RESULTS: COVID-19 patients diagnosed and treated in Kunming were balanced in terms of sex and covered all age groups. Most of them were mild cases; only five were severe cases. The first two dimensions of the PLS-DA model could classify COVID-19 and other pulmonary infection patients with an accuracy of 96.6% (95.1% in the cross-validation model). Basophil count, the proportion of basophils, prothrombin time, prothrombin time activity, and international normalized ratio were the five most discriminant biomarkers. CONCLUSION: Integration of biomarkers can discriminate COVID-19 patients from other pulmonary infections on admission to hospital and thus may be a supplement to nucleic acid tests.

Assessment of adequacy of respiratory infection prevention in hospitals of Inner Mongolia, China: a cross-sectional study using unannounced standardized patients.

INTRODUCTION: Recent respiratory infectious disease (RID) outbreaks of influenza and the novel coronavirus have resulted in global pandemics. RIDs can trigger nosocomial infections if not adequately prevented. OBJECTIVE: The objective of this study was to rate the adequacy of healthcare workers (HCWs) and hospital settings on RID prevention using unannounced standardized patients (USP) in clinical settings of hospital gateways. METHODS: Trained USPs visited 5 clinical settings: information desks, registration desks, two outpatient departments and the emergency departments in 10 hospitals across 3 cities of Inner Mongolia, China. USPs observed the hospital air ventilation and distance from the nearest hand-washing facilities to each clinical setting, then mimicked symptoms of either tuberculosis or influenza before observing the HCW's behavior. A total of 480 clinical-setting assessments were made by 19 USPs. RESULTS: The overall adequacy of triage services was 86.7% and for prevention of the spread of airborne droplets was 83.5%. Almost all hospitals offered adequate air ventilation. Compared to the information desk, adequacy of triage and preventing the spread of airborne droplets by physicians in the three clinical departments was less likely to be adequate. Triage services for USPs simulating symptoms of influenza were 2.6 times more likely to be adequate than for those simulating symptoms of tuberculosis but there was no significant difference in the prevention of the spread of airborne droplets. CONCLUSIONS: There is a need to improve respiratory infectious disease procedures in our study hospitals, especially in outpatient and emergency departments.