RESUMO
Background: People of non-White ethnicity have a higher risk of severe outcomes following influenza infection. It is unclear whether this is driven by an increased risk of infection or complications. We therefore aimed to investigate the incidence of clinically diagnosed influenza/influenza-like illness (ILI) by ethnicity in England from 2008-2018. Methods: We used linked primary and secondary healthcare data (from the Clinical Practice Research Datalink [CPRD] GOLD and Aurum databases and Hospital Episodes Statistics Admitted Patient Care [HES APC]). We included patients with recorded ethnicity who were aged 40-64 years and did not have a chronic health condition that would render them eligible for influenza vaccination. ILI infection was identified from diagnostic codes in CPRD and HES APC. We calculated crude annual infection incidence rates by ethnic group. Multivariable Poisson regression models with random effects were used to estimate any ethnic disparities in infection risk. Our main analysis adjusted for age, sex, and influenza year. Results: A total of 3,735,308 adults aged 40-64 years were included in the study; 87.6% White, 5.2% South Asian, 4.2% Black, 1.9% Other, and 1.1% Mixed. We identified 102,316 ILI episodes recorded among 94,623 patients. The rate of ILI was highest in the South Asian (9.6 per 1,000 person-years), Black (8.4 per 1,000 person-years) and Mixed (6.9 per 1,000 person-years) ethnic groups. The ILI rate in the White ethnic group was 5.7 per 1,000 person-years. After adjustment for age sex and influenza year, higher incidence rate ratios (IRR) for ILI were seen for South Asian (1.70, 95% CI 1.66-1.75), Black (1.48, 1.44-1.53) and Mixed (1.22, 1.15-1.30) groups compared to White ethnicity. Conclusions: Our results suggest that influenza infection risk differs between White and non-White groups who are not eligible for routine influenza vaccination.
RESUMO
PURPOSE: The Association for the Blind and Visually Impaired (ABVI) began the ReFocus on Children Program to assist school nurses in providing vision screening for at-risk children in the Charleston County School District in South Carolina. METHODS: In 2012 to 2013, 2,750 low-income school children ages 3 to 5 years were screened using the Plusoptix Vision screener (Atlanta, GA). Further examinations were performed on 419 (56%) children referred and glasses prescribed and provided for 192 children (positive predictive value 46%). In 2013, teacher feedback questionnaires were sent to the 23 schools. RESULTS: Teacher feedback questionnaires had a 49% response rate. Of teachers responding to the questionnaire, 70% reported the children liked wearing their glasses. Teachers provided observations of positive impact, including improved academic performance. CONCLUSIONS: Nurses appreciated that the entire process was efficient and completed in school, simplifying care and follow-up. The authors encourage partnerships between schools, nonprofit agencies, and healthcare providers to improve screening and access to comprehensive vision care for young children.