Strengthening COVID-19 vaccine confidence & demand during the US COVID-19 emergency response.

In October 2020, the CDC's Vaccinate with Confidence strategy specific to COVID-19 vaccines rollout was published. Adapted from an existing vaccine confidence framework for childhood immunization, the Vaccinate with Confidence strategy for COVID-19 aimed to improve vaccine confidence, demand, and uptake of COVID-19 vaccines in the US. The objectives for COVID-19 were to 1. build trust, 2. empower healthcare personnel, and 3. engage communities and individuals. This strategy was implemented through a dedicated unit, the Vaccine Confidence and Demand (VCD) team, which collected behavioral insights; developed and disseminated toolkits and best practices in collaboration with partners; and collaborated with health departments and community-based organizations to engage communities and individuals in behavioral interventions to strengthen vaccine demand and increase COVID-19 vaccine uptake. The VCD team collected and used social and behavioral data through establishing the Insights Unit, implementing rapid community assessments, and conducting national surveys. To strengthen capacity at state and local levels, the VCD utilized "Bootcamps," a rapid training of trainers on vaccine confidence and demand, "Confidence Consults", where local leaders could request tailored advice to address local vaccine confidence challenges from subject matter experts, and utilized surge staffing to embed "Vaccine Demand Strategists" in state and local public health agencies. In addition, collaborations with Prevention Research Centers, the Institute of Museum and Library Services, and the American Psychological Association furthered work in behavioral science, community engagement, and health equity. The VCD team operationalized CDC's COVID-19 Vaccine with Confidence strategy through behavioral insights, capacity building opportunities, and collaborations to improve COVID-19 vaccine confidence, demand, and uptake in the US. The inclusion of applied behavioral science approaches were a critical component of the COVID-19 vaccination program and provides lessons learned for how behavioral science can be integrated in future emergency responses.

Attitudes, Beliefs, and Perceptions Associated with Mask Wearing within Four Racial and Ethnic Groups Early in the COVID-19 Pandemic.

BACKGROUND: While previous studies have identified a range of factors associated with mask wearing in the US, little is known about drivers of mask-wearing among racial and ethnic minority groups. This analysis assessed whether factors positively associated with wearing a mask early in the pandemic differed between participants grouped by race/ethnicity (Hispanic, non-Hispanic Black, non-Hispanic Asian, and non-Hispanic White). METHOD: Data were obtained from a US internet panel survey of 3217 respondents during May-November 2020 (weighted by race/ethnicity, age, gender, and education to the US national population). Within each of the four available racial/ethnic groups, crude and adjusted odds ratios (COR and AOR) were calculated using logistic regression to assess factors positively associated with wearing a mask. Adjusted models were controlled for age, gender, education, county COVID-19 case count, presence of a state-issued mask mandate, and interview month. RESULTS: The following variables were most strongly positively associated with mask wearing (p<0.05) in each racial/ethnic group: Hispanic-seeing others wearing masks (AOR: 6.7), importance of wearing a mask combined with social distancing (AOR: 3.0); non-Hispanic Black-belief that wearing a mask would protect others from coronavirus (AOR: 5.1), reporting hearing that one should wear a mask (AOR: 3.6); non-Hispanic Asian-belief that people important to them believe they should wear a mask (COR: 5.1, not statistically significant); and non-Hispanic White-seeing others wearing masks (AOR: 3.1), importance of wearing a mask (AOR: 2.3). CONCLUSION: Public health efforts to encourage mask wearing should consider the diversity of behavioral influences within different population groups.

New Mixed Methods Approach for Monitoring Community Perceptions of Ebola and Response Efforts in the Democratic Republic of the Congo.

BACKGROUND: Efforts to contain the spread of Ebola in the eastern Democratic Republic of the Congo (DRC) during the 2018-2020 epidemic faced challenges in gaining community trust and participation. This affected implementation of community alerts, early isolation, contact tracing, vaccination, and safe and dignified burials. To quickly understand community perspectives and improve community engagement, collaborators from the DRC Red Cross, the International Federation of the Red Cross, and the U.S. Centers for Disease Control and Prevention explored a new method of collecting, coding, and quickly analyzing community feedback. METHODS: Over 800 DRC Red Cross local volunteers recorded unstructured, free-text questions and comments from community members during community Ebola awareness activities. Comments were coded and analyzed using a text-coding system developed by the collaborators. Coded comments were then aggregated and qualitatively grouped into major themes, and time trends were examined. RESULTS: Communities reported a lack of information about the outbreak and the response, as well as concerns about the Ebola vaccination program and health care quality. Some doubted that Ebola was real. The response used the feedback to revise some community engagement approaches. For example, 2 procedural changes that were followed by drops in negative community responses were: using transparent body bags, which allayed fears that bodies or organs were being stolen, and widening the eligibility criteria for Ebola vaccination, which addressed concerns that selectively vaccinating individuals within Ebola-affected communities was unfair. DISCUSSION: This system is unique in that unstructured feedback collected by local volunteers in the course of their work was rapidly coded, analyzed, and given to health authorities for use in making course corrections throughout the response. It provides a platform for local voices to be heard throughout an emergency response and provides a mechanism for assessing the effects of program adjustments on community sentiments.

Core components of infection prevention and control programs at the facility level in Georgia: key challenges and opportunities.

BACKGROUND: The Georgia Ministry of Labor, Health, and Social Affairs is working to strengthen its Infection Prevention and Control (IPC) Program, but until recently has lacked an assessment of performance gaps and implementation challenges faced by hospital staff. METHODS: In 2018, health care hospitals were assessed using a World Health Organization (WHO) adapted tool aimed at implementing the WHO's IPC Core Components. The study included site assessments at 41 of Georgia's 273 hospitals, followed by structured interviews with 109 hospital staff, validation observations of IPC practices, and follow up document reviews. RESULTS: IPC programs for all hospitals were not comprehensive, with many lacking defined objectives, workplans, targets, and budget. All hospitals had at least one dedicated IPC staff member, 66% of hospitals had IPC staff with some formal IPC training; 78% of hospitals had IPC guidelines; and 55% had facility-specific standard operating procedures. None of the hospitals conducted structured monitoring of IPC compliance and only 44% of hospitals used IPC monitoring results to make unit/facility-specific IPC improvement plans. 54% of hospitals had clearly defined priority healthcare-associated infections (HAIs), standard case definitions and data collection methods in their HAI surveillance systems. 85% hospitals had access to a microbiology laboratory. All reported having posters or other tools to promote hand hygiene, 29% had them for injection safety. 68% of hospitals had functioning hand-hygiene stations available at all points of care. 88% had single patient isolation rooms; 15% also had rooms for cohorting patients. 71% reported having appropriate waste management system. CONCLUSIONS: Among the recommended WHO IPC core components, existing programs, infrastructure, IPC staffing, workload and supplies present within Georgian healthcare hospitals should allow for implementation of effective IPC. Development and dissemination of IPC Guidelines, implementation of an effective IPC training system and systematic monitoring of IPC practices will be an important first step towards implementing targeted IPC improvement plans in hospitals.

Identifying the priority infection prevention and control gaps contributing to neonatal healthcare-associated infections in low-and middle-income countries: results from a modified Delphi process.

Background: In low- and middle-income countries (LMIC), neonatal healthcare-associated infections (HAI) are associated with increased morbidity, mortality, hospital stay, and costs. When resources are limited, addressing HAI through infection prevention and control (IPC) requires prioritizing interventions to maximize impact. However, little is known about the gaps in LMIC that contribute most to HAI. Methods: A literature review was conducted to identify the leading IPC gaps contributing to neonatal HAIs in intensive care units and specialty care wards in LMIC. Additionally, a panel of 21 global experts in neonatology and IPC participated in an in-person modified Delphi process to achieve consensus on the relative importance of these gaps as contributors to HAI. Results: Thirteen IPC gaps were identified and summarized into four main categories: facility policies such as prioritizing a patient safety culture and maintaining facility capacity, general healthcare worker behaviors such as hand hygiene and proper device insertion and maintenance, specialty healthcare worker behaviors such as cleaning and reprocessing of medical equipment, and infrastructural considerations such as adequate medical equipment and hand hygiene supplies. Conclusions: Through a modified Delphi process, we identified the leading IPC gaps contributing to neonatal HAIs; this information can assist policymakers, public health officials, researchers, and clinicians to prioritize areas for further study or intervention.