Reducing Caregiver Hunger During Pediatric Hospitalization.

BACKGROUND AND OBJECTIVES: Pediatric hospitalizations are costly, stressful events for families. Many caregivers, especially those with lower incomes, struggle to afford food while their child is hospitalized. We sought to decrease the mean percentage of caregivers of Medicaid-insured and uninsured children who reported being hungry during their child's hospitalization from 86% to <24%. METHODS: Our quality improvement efforts took place on a 41-bed inpatient unit at our large, urban academic hospital. Our multidisciplinary team included physicians, nurses, social workers, and food services leadership. Our primary outcome measure was caregiver-reported hunger; we asked caregivers near to the time of discharge if they experienced hunger during their child's hospitalization. Plan-do-study-act cycles addressed key drivers: awareness of how to obtain food, safe environment for families to seek help, and access to affordable food. An annotated statistical process control chart tracked our outcome over time. Data collection was interrupted because of the COVID-19 pandemic; we used that time to advocate for hospital-funded support for optimal and sustainable changes to caregiver meal access. RESULTS: We decreased caregiver hunger from 86% to 15.5%. A temporary test of change, 2 meal vouchers per caregiver per day, resulted in a special cause decrease in the percentage of caregivers reporting hunger. Permanent hospital funding was secured to provide cards to purchase 2 meals per caregiver per hospital day, resulting in a sustained decrease in rates of caregiver hunger. CONCLUSIONS: We decreased caregivers' hunger during their child's hospitalization. Through a data-driven quality improvement effort, we implemented a sustainable change allowing families to access enough food.

COVID-19 vaccine effectiveness against SARS-CoV-2 infection during the Delta period, a nationwide study adjusting for chance of exposure, the Netherlands, July to December 2021.

BackgroundDifferential SARS-CoV-2 exposure between vaccinated and unvaccinated individuals may confound vaccine effectiveness (VE) estimates.AimWe conducted a test-negative case-control study to determine VE against SARS-CoV-2 infection and the presence of confounding by SARS-CoV-2 exposure.MethodsWe included adults tested for SARS-CoV-2 at community facilities between 4 July and 8 December 2021 (circulation period of the Delta variant). The VE against SARS-CoV-2 infection after primary vaccination with an mRNA (Comirnaty or Spikevax) or vector-based vaccine (Vaxzevria or Janssen) was calculated using logistic regression adjusting for age, sex and calendar week (Model 1). We additionally adjusted for comorbidity and education level (Model 2) and SARS-CoV-2 exposure (number of close contacts, visiting busy locations, household size, face mask wearing, contact with SARS-CoV-2 case; Model 3). We stratified by age, vaccine type and time since vaccination.ResultsVE against infection (Model 3) was 64% (95% CI: 50-73), only slightly lower than in Models 1 (68%; 95% CI: 58-76) and 2 (67%; 95% CI: 56-75). Estimates stratified by age group, vaccine and time since vaccination remained similar: mRNA VE (Model 3) among people ≥ 50 years decreased significantly (p = 0.01) from 81% (95% CI: 66-91) at < 120 days to 61% (95% CI: 22-80) at ≥ 120 days after vaccination. It decreased from 83% to 59% in Model 1 and from 81% to 56% in Model 2.ConclusionSARS-CoV-2 exposure did not majorly confound the estimated COVID-19 VE against infection, suggesting that VE can be estimated accurately using routinely collected data without exposure information.

Systems thinking for health emergencies: use of process mapping during outbreak response.

Process mapping is a systems thinking approach used to understand, analyse and optimise processes within complex systems. We aim to demonstrate how this methodology can be applied during disease outbreaks to strengthen response and health systems. Process mapping exercises were conducted during three unique emerging disease outbreak contexts with different: mode of transmission, size, and health system infrastructure. System functioning improved considerably in each country. In Sierra Leone, laboratory testing was accelerated from 6 days to within 24 hours. In the Democratic Republic of Congo, time to suspected case notification reduced from 7 to 3 days. In Nigeria, key data reached the national level in 48 hours instead of 5 days. Our research shows that despite the chaos and complexities associated with emerging pathogen outbreaks, the implementation of a process mapping exercise can address immediate response priorities while simultaneously strengthening components of a health system.