Prevalence of influenza-specific vaccination hesitancy among adults in the United States, 2018.

BACKGROUND: The role of vaccine hesitancy on influenza vaccination is not clearly understood. Low influenza vaccination coverage in U.S. adults suggests that a multitude of factors may be responsible for under-vaccination or non-vaccination including vaccine hesitancy. Understanding the role of influenza vaccination hesitancy is important for targeted messaging and intervention to increase influenza vaccine confidence and uptake. The objective of this study was to quantify the prevalence of adult influenza vaccination hesitancy (IVH) and examine association of IVH beliefs with sociodemographic factors and early-season influenza vaccination. METHODS: A four-question validated IVH module was included in the 2018 National Internet Flu Survey. Weighted proportions and multivariable logistic regression models were used to identify correlates of IVH beliefs. RESULTS: Overall, 36.9% of adults were hesitant to receive an influenza vaccination; 18.6% expressed concerns about vaccination side effects; 14.8% personally knew someone with serious side effects; and 35.6% reported that their healthcare provider was not the most trusted source of information about influenza vaccinations. Influenza vaccination ranged from 15.3 to 45.2 percentage points lower among adults self-reporting any of the four IVH beliefs. Being female, age 18-49 years, non-Hispanic Black, having high school or lower education, being employed, and not having primary care medical home were associated with hesitancy. CONCLUSIONS: Among the four IVH beliefs studied, being hesitant to receiving influenza vaccination followed by mistrust of healthcare providers were identified as the most influential hesitancy beliefs. Two in five adults in the United States were hesitant to receive an influenza vaccination, and hesitancy was negatively associated with vaccination. This information may assist with targeted interventions, personalized to the individual, to reduce hesitancy and thus improve influenza vaccination acceptance.

Assembling the Career Firefighter Health Study cohort: A methods overview.

BACKGROUND: Studies of World Trade Center (WTC)-exposed rescue/recovery workers report the increased occurrence of health conditions after work at the WTC disaster site. However, the extent to which these associations are due to WTC exposure is unclear, in part due to the lack of suitable comparison groups. Accordingly, we identified a previously assembled National Institute for Occupational Safety and Health (NIOSH) cohort of career firefighters from three US cities (n = 29,992). Here, we document the challenges in establishing this non-WTC-exposed firefighter cohort for the goal of tracking and comparing cancer and chronic health conditions in WTC-exposed and non-WTC-exposed firefighters. METHODS: Follow-up process included institutional review board applications, data use agreements, state cancer registry linkages and vital status determination for the NIOSH firefighter cohort. After completion of these steps, we undertook outreach to the three original city fire departments and union officials, before contact tracing and direct recruitment of 14,566 living firefighters to complete a confidential health survey. We staggered recruitment efforts by the city, using letters, postcards, emails, videos, and telephone outreach. Participants who completed the survey received $10. RESULTS: A total of 4962 of 14,566 alive firefighters responded to the baseline survey (34.1% response rate). Respondents were older and more likely to be non-Hispanic white than nonrespondents. CONCLUSIONS: We provide an overview of the process for the first survey to collect information on physical and mental health conditions among US firefighters. The data collected will have an important impact on studies of WTC rescue/recovery work, firefighting, and related health conditions.

FIT FOR PURPOSE IN ACTION: DESIGN, IMPLEMENTATION, AND EVALUATION OF THE NATIONAL INTERNET FLU SURVEY.

Researchers strive to design and implement high-quality surveys to maximize the utility of the data collected. The definitions of quality and usefulness, however, vary from survey to survey and depend on the analytic needs. Survey teams must evaluate the trade-offs of various decisions, such as when results are needed and their required level of precision, in addition to practical constraints like budget, before finalizing the design. Characteristics within the concept of fit for purpose (FfP) can provide the framework for considering the trade-offs. Furthermore, this tool can enable an evaluation of quality for the resulting estimates. Implementation of a FfP framework in this context, however, is not straightforward. In this article, we provide the reader with a glimpse of a FfP framework in action for obtaining estimates on early season influenza vaccination coverage estimates and on knowledge, attitudes, behaviors, and barriers related to influenza and influenza prevention among civilian noninstitutionalized adults aged 18 years and older in the United States. The result is the National Internet Flu Survey (NIFS), an annual, two-week internet survey sponsored by the US Centers for Disease Control and Prevention. In addition to critical design decisions, we use the established NIFS FfP framework to discuss the quality of the NIFS in meeting the intended objectives. We highlight aspects that work well and other survey traits requiring further evaluation. Differences found in comparing the NIFS to the National Flu Survey, the National Health Interview Survey, and Behavioral Risk Factor Surveillance System are discussed via their respective FfP characteristics. The findings presented here highlight the importance of the FfP framework for designing surveys, defining data quality, and providing a set a metrics used to advertise the intended use of the survey data and results.

The Effectiveness of Incentives on Completion Rates, Data Quality, and Nonresponse Bias in a Probability-based Internet Panel Survey.

Previous research has shown that increasing the size of incentives can increase response rates for probability-based, cross-sectional surveys. However, the effects of incentives on web panels have not been extensively studied. We sought to answer the question: What is the effect of larger, postpaid incentives on (1) response, (2) data quality, and (3) nonresponse bias for individuals in a web panel? We analyzed data from the 2015 and 2016 National Internet Flu Survey, a survey that uses the GfK KnowledgePanel® as its sampling frame. We compare panel members who received a postpaid, standard 1,000-point (the equivalent of US$1) incentive in 2015 to panelists who received a larger, 5,000-point (the equivalent of US$5) incentive in 2016. We found that larger incentives were associated with increased interview completion rates with minimal impact on data quality or bias.

Influenza vaccination among adults living with persons at high-risk for complications from influenza during early 2016-17 influenza season.

BACKGROUND: The Advisory Committee on Immunization Practices (ACIP) recommends all persons aged ≥6 months get vaccinated for influenza annually, placing particular emphasis on persons who are at increased risk for influenza-related complications and persons living with or caring for them. METHODS: Data from the 2016 National Internet Flu Survey (NIFS), a nationally representative, probability-based Internet panel survey of the noninstitutionalized U.S. civilian population aged ≥18 years, was used to compare influenza vaccination coverage among adults who live with household members at high-risk for complications from influenza with those who do not. Logistic regression was used to evaluate the difference in the adjusted vaccination coverage prevalence between persons living with and without high-risk household members. RESULTS: From the 2016 NIFS (n = 4,113), we estimated that 29.2% of noninstitutionalized U.S. adults had at least one household member at increased risk for influenza-related complications. Unadjusted influenza vaccination coverage was significantly higher for adults with a high-risk household member compared with those without (46.7% vs 38.6%, respectively). After adjustment for demographic and access-to-care factors, adults with high-risk household members were more likely to be vaccinated than those without (adjusted prevalence difference = 5.3 [0.3, 10.3]). Among vaccinated respondents with high-risk household members, 88.7% reported that protection of their family and close contacts was one of the reasons they were vaccinated. CONCLUSION: Approximately half of adults living with someone at increased risk of complications from influenza did not report receiving an influenza vaccination. Vaccination reminder/recall for persons at increased risk should include reminders for their household contacts.