Accelerating guideline dissemination in nursing homes during the COVID-19 pandemic: A patient-centered randomized controlled trial

Background Nursing homes were ill-equipped for the pandemic;though facilities are required to have infection control staff, only 3% have taken a basic infection control course. Little is known about the implementation of effective practices outside of the acute care setting. We proposed an intervention utilizing Project ECHO, to connect Penn State University experts with nursing home staff and administrators to explore how infection control guidelines can be implemented effectively. Methods A stratified cluster randomized design was used to assign nursing homes to either AHRQ-funded COVID-19 ECHO or AHRQ-funded COVID-19 ECHO+ Results: 136 nursing homes participated. There were no significant differences in COVID-19 infection rate, hospitalization, deaths, or influenza, between ECHO or ECHO+.Discussion: The ECHO model has significant strengths when compared to traditional training, as it allows for remote learning delivered by a multidisciplinary team of experts and utilizes case discussions that match the context of nursing homes.

Political views and organizational distrust affect rural residents' willingness to share personal data for COVID-19 contact tracing: A cross-sectional survey study.

Background: We aimed to examine the attitudes of Pennsylvania rural residents toward data sharing in the setting of the COVID-19 pandemic. Specifically, we were interested in better understanding their willingness to provide personal information for contact tracing to public health staff investigating COVID-19 cases, as well as their concerns. We used a validated scale to describe the influence of distrust of healthcare organizations on their attitudes. Methods: We mailed 4000 surveys to rural residents identified from the electronic medical record of a healthcare system in central Pennsylvania. Data were entered into a REDCap database and analyzed using descriptive summaries, and both binomial and multivariable logistic regression. Results: Binomial logistic regression showed that both distrust in healthcare organizations and political values influence respondents' willingness to share information with contact tracers as well as their concerns about sharing personal data. When our multivariable model was applied, political values remained and were consistently associated with willingness to share and concerns about sharing their data. Conclusion: This study is a first step in eliciting rural residents' willingness to share personal data for contact tracing by public health officials. Understanding and addressing rural residents' willingness to share personal data and their concerns about sharing those data will help public health officials identify effective strategies for managing COVID-19 and future pandemics in rural communities. By involving community members at the ground level, public health staff can ensure residents' buy-in for the need to collect their personal data, thereby helping to mitigate the public health crises.

Hesitancy and reactogenicity to mRNA-based COVID-19 vaccines-Early experience with vaccine rollout in a multi-site healthcare system.

BACKGROUND: Hesitancy and incomplete vaccination against coronavirus disease 2019 (COVID-19) remains an obstacle to achieving herd immunity. Because of fear of vaccine reactions, patients with medical and allergic co-morbidities express heightened hesitancy. Limited information is available to guide these patients. We sought to identify factors associated with mRNA-based COVID-19 vaccines hesitancy and reactogenicity. METHODS: We surveyed employees of a multi-site health system in central Pennsylvania who were offered the COVID-19 vaccine (N = 18,740) inquiring about their experience with the Moderna and Pfizer-BioNTech mRNA-based vaccines. The survey was administered online using the REDCap platform. We used multivariable regression analysis to determine whether a particular factor(s) (e.g., demographics, selected co-morbid allergic and medical conditions, vaccine brand, and prior COVID-19) were associated with vaccine reactogenicity including the occurrence and severity of local and systemic reactions. We also explored factors and reasons associated with vaccine hesitancy. RESULTS: Of the 5709 who completed the survey (response rate, 30.4%), 369 (6.5%) did not receive the vaccine. Black race and allergy to other vaccines were associated with vaccine hesitancy. Reaction intensity following the first vaccine dose and allergic co-morbidities were associated with incomplete vaccination. Older individuals (>60 years) experienced less reactogenicity. Females had higher odds of local and systemic reactions and reported more severe reactions. Asians reported more severe reactions. As compared to Pfizer-BioNTech, the Moderna vaccine was associated with higher odds of vaccine reactions of higher severity. Prior COVID-19 resulted in more severe reactions following the first dose, but less severe reactions following the second dose. CONCLUSIONS: Targeted campaigns to enhance vaccination acceptance should focus on Black individuals, females, and those with allergic co-morbidities. Prior COVID-19 caused more severe reactions after the first but not the second vaccine dose. Moderna vaccine caused more vaccine reactions. Lessons learned from the early rollout of COVID-19 vaccine may serve to inform future novel vaccine experiences.

Hospitalization and mortality in patients with COVID-19 with or at risk of type 2 diabetes: data from five health systems in Pennsylvania and Maryland.

OBJECTIVE: To identify the demographic and clinical characteristics associated with adverse COVID-19 outcomes across a 12-month period in 2020 and 2021. RESEARCH DESIGN AND METHODS: We conducted a retrospective cohort study using electronic health records from five academic health systems in Pennsylvania and Maryland, including patients with COVID-19 with type 2 diabetes or at risk of type 2 diabetes. Patients were classified based on 30-day outcomes: (1) no hospitalization; (2) hospitalization only; or (3) a composite measure including admission to the intensive care unit (ICU), intubation, or death. Analyses were conducted in patients with type 2 diabetes and patients at risk of type 2 diabetes separately. RESULTS: We included 15 725 patients with COVID-19 diagnoses between March 2020 and February 2021. Older age and higher Charlson Comorbidity Index scores were associated with higher odds of adverse outcomes, while COVID-19 diagnoses later in the study period were associated with lower odds of severe outcomes. In patients with type 2 diabetes, individuals on insulin treatment had higher odds for ICU/intubation/death (OR=1.59, 95% CI 1.27 to 1.99), whereas those on metformin had lower odds (OR=0.56, 95% CI 0.45 to 0.71). Compared with non-Hispanic White patients, Hispanic patients had higher odds of hospitalization in patients with type 2 diabetes (OR=1.73, 95% CI 1.36 to 2.19) or at risk of type 2 diabetes (OR=1.77, 95% CI 1.43 to 2.18.) CONCLUSIONS: Adults who were older, in racial minority groups, had multiple chronic conditions or were on insulin treatment had higher risks for severe COVID-19 outcomes. This study reinforced the urgency of preventing COVID-19 and its complications in vulnerable populations. TRIAL REGISTRATION NUMBER: NCT02788903.

Factors affecting rural residents intentions to receive the COVID-19 vaccine

OBJECTIVES/GOALS: Vaccination for COVID-19 is a primary public health strategy to control the pandemic. In this study, we examined how various sociodemographic variables influence rural residents intentions to receive the COVID-19 vaccine. We also examined the role of distrust in healthcare organizations in these intentions. METHODS/STUDY POPULATION: sing the electronic medical records of an academic healthcare institution in central Pennsylvania, we obtained names and addresses of patients who had been an inpatient or outpatient within the prior three years, were 18 years or older, and who resided in a community defined as rural by the Commonwealth of Pennsylvania. The survey included three statements about the intent to receive the COVID-19 vaccine, an open-ended question about concerns regarding the vaccine, and validated scales for general trust and for distrust in healthcare organizations. All study variables were summarized to determine their distributions, and then bivariate binomial logistic regression analyses were conducted. Responses to the open-ended question were coded and used as variables in the bivariate analysis. RESULTS/ANTICIPATED RESULTS: Respondents reporting conservative political views were more likely (compared to those liberal political views) to never want to be vaccinated for COVID-19. Those who expressed distrust in healthcare organizations were less likely to want to be vaccinated soon. Conversely those who were more trusting said they were more likely to want to be vaccinated soon. Respondents dominant concerns about the COVID-19 vaccine were that it was new and that the process for its development was rushed. Respondents who believed that COVID-19 was a hoax were unlikely to ever want to be vaccinated, while those who distrusted the process in some way (new vaccine or rushed vaccine) were more likely to want to wait to be vaccinated. DISCUSSION/SIGNIFICANCE: These findings confirm the impact of political orientation on COVID-19 vaccination intention and suggest that distrust in healthcare organizations may prevent people from being vaccinated. These data provide evidence that people delaying vaccination hold different beliefs than those who will never vaccinate.

Factors affecting rural residents willingness to share personal data for COVID-19 contact tracing

OBJECTIVES/GOALS: The goal of this study was to examine the attitudes of central Pennsylvania rural residents toward data sharing in the setting of the COVID-19 pandemic. We determined their willingness to provide cell phone data and personal information to public health staff investigating COVID-19 cases, as well as their concerns about sharing this information. METHODS/STUDY POPULATION: We used the electronic medical records of an academic healthcare institution in central Pennsylvania to obtain names and addresses of patients who had visited an outpatient clinic or been an inpatient within the prior three years, were 18 years or older, and who resided in a community defined as rural by the Commonwealth of Pennsylvania. The survey included four statements about contact tracing, three statements about intent to receive the COVID-19 vaccine, and validated scales for general trust and for distrust in healthcare organizations. All study variables were summarized to determine their distributions, and bivariate binomial logistic regression was conducted. A multivariable model including all of the independent variables was then fit for each outcome variable. RESULTS/ANTICIPATED RESULTS: The response rate was 19.5%. 95 % of respondents were white, 56% were female, and nearly two-thirds were older than 60 years. Binomial logistic regression showed that both distrust in healthcare organizations and political values influenced respondents willingness to share information with contact tracers as well as their concerns about sharing. In multivariate analysis, political values were a consistent predicator of willingness to share and concerns about sharing. Respondents who indicated that they wanted to get vaccinated as soon as possible were significantly more likely than those who did not want to be vaccinated to be willing to share their cell phone location data and personal data. Conversely, they were less likely to be concerned with these data being shared without their permission. DISCUSSION/SIGNIFICANCE: Understanding rural residents concerns about sharing personal information is critical if we are to develop successful strategies for lessening the impact of COVID-19 and managing future pandemics. This study is a first step in eliciting such concerns in the context of COVID-19and has implications for directing a successful pandemic response.

School Nurse Perspectives on COVID-19.

Pennsylvania responded to the COVID-19 pandemic by closing schools and moving to online instruction in March 2020. We surveyed Pennsylvania school nurses (N = 350) in May 2020 to assess the impact of COVID-19 on nurses' concerns about returning to school and impact on practice. Data were analyzed using χ2 tests and regression analyses. Urban school nurses were more concerned about returning to the school building without a COVID-19 vaccine than rural nurses (OR = 1.58, 95% CI [1.05, 2.38]). Nurses in urban locales were more likely to report being asked for guidance on COVID-19 (OR = 1.69, 95% CI [1.06, 2.68]), modify communication practices (OR = 2.33, 95% CI [1.42, 3.82]), and be "very/extremely concerned" about their safety (OR = 2.16, 95% CI [1.35, 3.44]). Locale and student density are important factors to consider when resuming in-person instruction; however, schools should recognize school nurses for their vital role in health communication to assist in pandemic preparedness and response.

Perceptions of firearms in a cohort of women exposed to intimate partner violence (IPV) in Central Pennsylvania.

BACKGROUND: Almost one-half of U.S. women will experience intimate partner violence (IPV), defined as physical, sexual, or psychological harm by a current or former partner. IPV is associated with an increased risk of homicide, with firearms as the most commonly used weapon. We designed this study to better understand the correlation of interpersonal trauma exposures and demographic factors on firearm perceptions among a cohort of IPV-exposed women. METHODS: Two hundred sixty-seven women in central Pennsylvania with exposure to IPV were surveyed about perceptions of gun access, safety, and gun presence in the home. Trauma variables included IPV type, IPV recency, unwanted sexual exposure, and adverse childhood experiences (ACEs). Multivariable analyses examined three questions examining firearm perceptions controlling for trauma exposures and demographics. RESULTS: Ease of firearm acquisition: Women who were older (mean 44.92 years +/- SD 12.05), compared to women who were younger (40.91 +/- SD 11.81 years) were more likely to describe it as easy or very easy to acquire a gun (aOR 1.05, 95%CI 1.004, 1.10). Perceived safety in the proximity of a gun: Women with the highest ACE score were less likely to feel safe with a gun nearby (aOR 0.31, 95%CI 0.14, 0.67). Odds of guns in the home: Women who were divorced or separated (aOR 0.22, 95%CI 0.09, 0.54), women were widowed or single (aOR0.23, 95%CI 0.08, 0.67), and women who were partnered (aOR 0.45 95%CI 0.20, 0.97) had lower odds of having a gun in the home, compared to married women. There was no significant effect of the trauma variables on the odds of having a gun at home. CONCLUSIONS: Women with more severe childhood trauma felt less safe around firearms, but trauma exposures did not predict the perception of gun prevalence in the local community or gun ownership. Instead, demographic factors of marriage predicted presence of a gun in the home.