Training Public Health Nurses on Disaster Shelter Care Using a Flipped Classroom Approach.

OBJECTIVE: With the increase in natural disasters and the expected role of public health nurses (PHNs) in responding, it is crucial to develop evidence-based disaster preparedness and management training programs tailored to the needs of PHNs. This study evaluates the effectiveness of a flipped classroom approach in disaster training for PHNs. METHODS: A total of 42 PHNs completed a 5-hour online training program and an in-person 8-hour training session at a local nursing school. Surveys measuring self-reported confidence and knowledge were completed at the beginning and end of the online and in-person training. RESULTS: The average years of experience as an RN and PHN were 12.3 years and 6.7 years, respectively. Approximately 64% of participants had never deployed during a disaster. The pre- and posttest demonstrated a large effect size, indicating the effectiveness of both online and in-person training. The online training resulted in significant changes in knowledge. The in-person training showed a statistically significant increase in confidence across all measures. CONCLUSIONS: Online and in-person disaster preparedness training programs can effectively enhance the knowledge, skills, and attitudes of PHNs. The majority of participants expressed that the training better prepared them to work in disaster shelters.

Evaluation of a city-wide school-located influenza vaccination program in Oakland, California with respect to race and ethnicity: A matched cohort study.

BACKGROUND: Increasing influenza vaccination coverage in school-aged children may substantially reduce community transmission. School-located influenza vaccinations (SLIV) aim to promote vaccinations by increasing accessibility, which may be especially beneficial to race/ethnicity groups that face high barriers to preventative care. Here, we evaluate the effectiveness of a city-wide SLIV program by race/ethnicity from 2014 to 2018. METHODS: We used multivariate matching to pair schools in the intervention district in Oakland, CA with schools in a comparison district in West Contra Costa County, CA. We distributed cross-sectional surveys to measure caregiver-reported student vaccination status and estimated differences in vaccination coverage levels and reasons for non-vaccination between districts stratifying by race/ethnicity. We estimated difference-in-differences (DID) of laboratory confirmed influenza hospitalization incidence between districts stratified by race/ethnicity using surveillance data. RESULTS: Differences in influenza vaccination coverage in the intervention vs. comparison district were larger among White (2017-18: 21.0% difference [95% CI: 9.7%, 32.3%]) and Hispanic/Latino (13.4% [8.8%, 18.0%]) students than Asian/Pacific Islander (API) (8.9% [1.3%, 16.5%]), Black (5.9% [-2.2%, 14.0%]), and multiracial (6.3% [-1.8%, 14.3%)) students. Concerns about vaccine effectiveness or safety were more common among Black and multiracial caregivers. Logistical barriers were less common in the intervention vs. comparison district, with the largest difference among White students. In both districts, hospitalizations in 2017-18 were higher in Blacks (Intervention: 111.5 hospitalizations per 100,00; Comparison: 134.1 per 100,000) vs. other races/ethnicities. All-age influenza hospitalization incidence was lower in the intervention site vs. comparison site among White/API individuals in 2016-17 (DID -25.14 per 100,000 [95% CI: -40.14, -10.14]) and 2017-18 (-36.6 per 100,000 [-52.7, -20.5]) and Black older adults in 2017-18 (-282.2 per 100,000 (-508.4, -56.1]), but not in other groups. CONCLUSIONS: SLIV was associated with higher vaccination coverage and lower influenza hospitalization, but associations varied by race/ethnicity. SLIV alone may be insufficient to ensure equitable influenza outcomes.

Evaluation of a city-wide school-located influenza vaccination program in Oakland, California, with respect to vaccination coverage, school absences, and laboratory-confirmed influenza: A matched cohort study.

BACKGROUND: It is estimated that vaccinating 50%-70% of school-aged children for influenza can produce population-wide indirect effects. We evaluated a city-wide school-located influenza vaccination (SLIV) intervention that aimed to increase influenza vaccination coverage. The intervention was implemented in ≥95 preschools and elementary schools in northern California from 2014 to 2018. Using a matched cohort design, we estimated intervention impacts on student influenza vaccination coverage, school absenteeism, and community-wide indirect effects on laboratory-confirmed influenza hospitalizations. METHODS AND FINDINGS: We used a multivariate matching algorithm to identify a nearby comparison school district with pre-intervention characteristics similar to those of the intervention school district and matched schools in each district. To measure student influenza vaccination, we conducted cross-sectional surveys of student caregivers in 22 school pairs (2017 survey, N = 6,070; 2018 survey, N = 6,507). We estimated the incidence of laboratory-confirmed influenza hospitalization from 2011 to 2018 using surveillance data from school district zip codes. We analyzed student absenteeism data from 2011 to 2018 from each district (N = 42,487,816 student-days). To account for pre-intervention differences between districts, we estimated difference-in-differences (DID) in influenza hospitalization incidence and absenteeism rates using generalized linear and log-linear models with a population offset for incidence outcomes. Prior to the SLIV intervention, the median household income was $51,849 in the intervention site and $61,596 in the comparison site. The population in each site was predominately white (41% in the intervention site, 48% in the comparison site) and/or of Hispanic or Latino ethnicity (26% in the intervention site, 33% in the comparison site). The number of students vaccinated by the SLIV intervention ranged from 7,502 to 10,106 (22%-28% of eligible students) each year. During the intervention, influenza vaccination coverage among elementary students was 53%-66% in the comparison district. Coverage was similar between the intervention and comparison districts in influenza seasons 2014-2015 and 2015-2016 and was significantly higher in the intervention site in seasons 2016-2017 (7%; 95% CI 4, 11; p < 0.001) and 2017-2018 (11%; 95% CI 7, 15; p < 0.001). During seasons when vaccination coverage was higher among intervention schools and the vaccine was moderately effective, there was evidence of statistically significant indirect effects: The DID in the incidence of influenza hospitalization per 100,000 in the intervention versus comparison site was -17 (95% CI -30, -4; p = 0.008) in 2016-2017 and -37 (95% CI -54, -19; p < 0.001) in 2017-2018 among non-elementary-school-aged individuals and -73 (95% CI -147, 1; p = 0.054) in 2016-2017 and -160 (95% CI -267, -53; p = 0.004) in 2017-2018 among adults 65 years or older. The DID in illness-related school absences per 100 school days during the influenza season was -0.63 (95% CI -1.14, -0.13; p = 0.014) in 2016-2017 and -0.80 (95% CI -1.28, -0.31; p = 0.001) in 2017-2018. Limitations of this study include the use of an observational design, which may be subject to unmeasured confounding, and caregiver-reported vaccination status, which is subject to poor recall and low response rates. CONCLUSIONS: A city-wide SLIV intervention in a large, diverse urban population was associated with a decrease in the incidence of laboratory-confirmed influenza hospitalization in all age groups and a decrease in illness-specific school absence rate among students in 2016-2017 and 2017-2018, seasons when the vaccine was moderately effective, suggesting that the intervention produced indirect effects. Our findings suggest that in populations with moderately high background levels of influenza vaccination coverage, SLIV programs are associated with further increases in coverage and reduced influenza across the community.

Maternal knowledge of infant feeding guidelines and label reading behaviours in a population of new mothers in San Francisco, California.

The objective of this study was to evaluate the relationship between maternal nutrition knowledge and maternal socio-demographics including participation in the Special Supplemental Women, Infants and Children's (WIC) Program. A cross-sectional study of new mothers at two San Francisco hospitals was conducted using some of the American Academy of Pediatrics' guidelines in a structured questionnaire to assess maternal nutritional knowledge. Maternal nutritional attitudes towards product nutrient labels were also assessed in a questionnaire format. Logistic regression models were used to evaluate the odds of having high maternal nutrition knowledge and of infrequently reading nutrition labels. In multivariate logistic regression models, higher maternal nutrition knowledge (defined as answering all four nutrition questions correctly) was associated with higher income levels defined as > or =$25 000/year, odds ratio (OR) 10.03 95% confidence interval (CI) (1.51-66.74), and in linear models, higher nutritional knowledge was associated with having more children (P < 0.01), a higher income (P = 0.01) and not being a WIC participant (P < 0.01). Mothers with higher incomes were also more likely to read product nutritional labels OR 4.24, 95% CI (1.24-14.51), compared with mothers with lower incomes as were mothers with higher education levels OR 3.32, 95% CI (1.28-8.63). In San Francisco, lower income mothers are at greatest risk for low maternal nutrition knowledge and not reading product nutritional labels. Higher household income was independently associated with increased maternal nutrition knowledge and likelihood of reading nutritional labels. More comprehensive interventions need to target low-income mothers including current WIC participants to help close the nutritional advantages gap conferred by income and education.