COVID-19 Vaccination Among Environmental Service Workers Using Agents of Change

Introduction Vaccine hesitancy remains a barrier to community immunity against SARS-CoV-2 infection. Health care workers are at risk both of infection and for nosocomial transmission, but have low rates of vaccine uptake due to hesitancy. This project sought to improve the SARS-CoV-2 vaccine uptake among environmental services (EVS) workers at a large academic regional medical center using a community-based participatory approach (CBPA). Methods The CBPA engaged environmental service workers from January 2021 to March 2021. Public health experts and environmental services department leaders developed a 1-hour training for peer lay health educators (N=29), referred to as agents of change (AOC). AOC were trained on COVID-19 infection, benefits of SARS-CoV-2 vaccination, and techniques to address vaccine misinformation among their peers. Following the program, we conducted semistructured interviews with the AOC to document their experiences. Results Analysis of the semistructured interviews shows that 89.6% of participants (N=26) felt the training was informative;79.3% of participants (N=23) reported using personal testimony while engaging in discussions about vaccination with their peers, and the majority of participants (N=26, 89.6%) discussed vaccination outside of the workplace in other community settings. During the 2-month time span of the program, mRNA COVID-19 vaccination rates among the EVS staff increased by 21% (N=126 to N=189). Conclusion Our CBPA program demonstrated an increase in mRNA COVID-19 vaccine uptake through using an AOC lay health educator model. As the need for COVID-19 vaccination continues, we must continue to investigate barriers and sources of hesitancy in order to address these through tailored interventions.

Healthcare Personnel (HCP) Attitudes About Coronavirus Disease 2019 (COVID-19) Vaccination After Emergency Use Authorization.

BACKGROUND: We previously reported on coronavirus disease 2019 (COVID-19) vaccination intent among healthcare personnel (HCP) before emergency use authorization. We found widespread hesitancy and a substantial proportion of HCP did not intend to vaccinate. METHODS: We conducted a cross-sectional survey of HCP, including clinical and nonclinical staff, researchers, and trainees between 21 February and 19 March 2021. The survey evaluated vaccine attitudes, beliefs, intent, and acceptance. RESULTS: Overall, 3981 (87.7%) of respondents had already received a COVID-19 vaccine or planned to get vaccinated. There were significant differences in vaccine acceptance by gender, age, race, and hospital role. Males (93.7%) were more likely than females (89.8%) to report vaccine acceptance (P < .001). Mean age was higher among those reporting vaccine acceptance (P < .001). Physicians and scientists showed the highest acceptance rate (97.3%), whereas staff in ancillary services showed the lowest acceptance rate (79.9%). Unvaccinated respondents were more likely to be females, to have refused vaccines in the past due to reasons other than illness or allergy, to care for COVID-19 patients, or to rely on themselves when making vaccination decision. Vaccine acceptance was more than twice previous intent among Black respondents, an increase from 30.8% to 73.8%, and across all hospital roles with all > 80% vaccine acceptance. CONCLUSIONS: The majority of HCP were vaccinated, much higher than reporting intent before vaccine was available. However, many HCP-particularly ancillary services-are still hesitant. Feasible and effective interventions to address the hesitant, including individually-tailored education strategies are needed, or vaccine can be mandated.

Relationship Between COVID-19 Cases and Vaccination Rates in New York State Counties.

INTRODUCTION: Vaccines against SARS-CoV-2 have been developed with unprecedented speed. The phased introduction of vaccines may be serving to offset the impact of new viral variants and policy relaxation. In order to assess the impact of vaccination, we examined a snapshot of vaccination rates across counties in a single state, at a single time point, comparing them with population-adjusted case counts. METHODS: We calculated descriptive statistics and bivariate correlations for vaccination rates and cases across counties in New York State (NYS). We conducted a linear regression using cases/100K population per NYS county, frozen at a single snapshot in time, as the outcome variable, predicted by percentage of each county's population (completed series/two doses), controlling for county population. RESULTS: Percentages with one dose and with two doses were highly correlated (r=.935, P<.001) with one another. Both the one dose and two dose z rates were negatively correlated with cases per 100K population (not significant). Population size was strongly correlated with cases per 100K (r=.715, P<.001). The two-dose vaccination rate was a significant negative predictor of cases per 100K population in NYS counties (ß= -.866, P=.031), with each percentage point of completed vaccination nearly equating to one case less in the daily count when controlling for county population size (ß =2.732, P<.001). CONCLUSION: While variants may impact vaccine effectiveness, current vaccination efforts are helping forestall some cases in NYS. Widespread vaccination is still an important goal. Primary care providers, public officials, and public health scientists should continue to urgently promote and support vaccination efforts.

Assessment of US Healthcare Personnel Attitudes Towards Coronavirus Disease 2019 (COVID-19) Vaccination in a Large University Healthcare System.

BACKGROUND: As a priority group, healthcare personnel (HCP) will be key to the success of coronavirus disease 2019 (COVID-19) vaccination programs. This study assessed HCP willingness to get vaccinated and identified specific concerns that would undermine vaccination efforts. METHODS: We conducted a cross-sectional survey of HCP, including clinical and nonclinical staff, researchers, and trainees, between 23 November and 5 December 2020. The survey evaluated attitudes, beliefs, and willingness to get vaccinated. RESULTS: There were 5287 respondents with a mean (SD) age of 42.5 (13.56) years; 72.8% were female (n = 3842). Overall, 57.5 % of individuals expressed intent to receive COVID-19 vaccine; 80.4% were physicians and scientists representing the largest group. 33.6% of registered nurses, 31.6% of allied health professionals, and 32% of master's level clinicians were unsure they would take the vaccine (P < .001). Respondents who were older, male, White, or Asian were more likely to get vaccinated than other groups. Vaccine safety, potential adverse events, efficacy, and speed of vaccine development dominated concerns listed by participants. Fewer (54.0%) providers of direct care versus non-care providers (62.4%) and 52.0% of those who had provided care for COVID-19 patients (vs 60.6% of those who had not) indicated they would take the vaccine if offered (P < .001). CONCLUSIONS: We observed that self-reported willingness to receive vaccination against COVID-19 differs by hospital roles, with physicians and research scientists showing the highest acceptance. These findings highlight important heterogeneity in personal attitudes among HCPs around COVID-19 vaccines and highlight a need for tailored communication strategies.

Social Distancing Metrics and Estimates of SARS-CoV-2 Transmission Rates: Associations Between Mobile Telephone Data Tracking and R.

BACKGROUND: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the causative agent of coronavirus disease 2019 (COVID-19). In the absence of robust preventive or curative strategies, the implementation of social distancing has been a key component of limiting the spread of the virus. METHODS: Daily estimates of R(t) were calculated and compared with measures of social distancing made publicly available by Unacast. Daily generated variables representing an overall grade for distancing, changes in distances traveled, encounters between individuals, and daily visitation, were modeled as predictors of average R value for the following week, using linear regression techniques for 8 counties surrounding the city of Syracuse, New York. Supplementary analysis examined differences between counties. RESULTS: A total of 225 observations were available across the 8 counties, with 166 meeting the mean R(t) < 3 outlier criterion for the regression models. Measurements for distance (ß = 1.002, P = .012), visitation (ß = .887, P = .017), and encounters (ß = 1.070, P = .001) were each predictors of R(t) for the following week. Mean R(t) drops when overall distancing grades move from D+ to C-. These trends were significant (P < .001 for each). CONCLUSIONS: Social distancing, when assessed by free and publicly available measures such as those shared by Unacast, has an impact on viral transmission rates. The scorecard may also be useful for public messaging about social distance, in hospital planning, and in the interpretation of epidemiological models.