Using ECHO program data to develop a brief measure of caregiver support and cognitive stimulation using the home observation for measurement of the environment-infant/toddler (HOME-IT).

Data from three NIH Environmental influences on Child Health Outcomes (ECHO) Program cohorts that collected the HOME-Infant-Toddler (HOME-IT age 0-3 years) version were used to examine the reliability of a brief scale of caregiver support and cognitive stimulation. Participants with HOME-IT data (N = 2518) were included in this analysis. Mean child age at HOME-IT assessment was 1.51 years, 48% of children were female, and 43% of children identified as Black. A four-stage analysis plan was used to evaluate item response theory assumptions, item response theory model fit, monotonicity, scalability, item fit, and differential item functioning. Results indicate the feasibility of developing a reliable 10-item scale (reliability >0.7) with particularly high precision for children with lower levels of cognitive stimulation.

Ableism in Health Care.

Improving our knowledge of disability can reduce stereotypes and stigma.

Democracy and case fatality rate of COVID-19 at early stage of pandemic: a multicountry study.

Many studies have evaluated factors that influence the course of the COVID-19 pandemic in different countries. This multicountry study assessed the influence of democracy and other factors on the case fatality rate of COVID-19 during the early stage of the pandemic. We accessed the World Health Organization, World Bank, and the Democracy Index 2019 databases for data from the 148 countries. Multiple analyses were conducted to examine the association between the Democracy Index and case fatality rate of COVID-19. Within 148 countries, the percentage of the population aged 65 years and above (p = 0.0193), and health expenditure as a percentage of GDP (p = 0.0237) were positively associated with countries' case fatality rates. By contrast, hospital beds per capita helped to reduce the case fatality rates. In particular, the Democracy Index was positively associated with case fatality rates in a subgroup of 47 high-income countries. This study suggests that enhancing the health system with increased hospital beds and healthcare workforce per capita should reduce case fatality rate. The findings suggest that a higher Democracy Index is associated with more deaths from COVID-19 at the early stage of the pandemic, possibly due to the decreased ability of the government.

Graphical Trajectory Comparison to Identify Errors in Data of COVID-19: A Cross-Country Analysis.

Data from the early stage of a novel infectious disease outbreak provide vital information in risk assessment, prediction, and precise disease management. Since the first reported case of COVID-19, the pattern of the novel coronavirus transmission in Wuhan has become the interest of researchers in epidemiology and public health. To thoroughly map the mechanism of viral spreading, we used the patterns of data at the early onset of COVID-19 from seven countries to estimate the time lag between peak days of cases and deaths. This study compared these data with those of Wuhan and estimated the natural history of disease across the infected population and the time lag. The findings suggest that comparative analyses of data from different regions and countries reveal the differences between peaks of cases and deaths caused by COVID-19 and the incomplete and underestimated cases in Wuhan. Different countries may show different patterns of cases peak days, deaths peak days, and peak periods. Error in the early COVID-19 statistics in Brazil was identified. This study provides sound evidence for policymakers to understand the local circumstances in diagnosing the health of a population and propose precise and timely public health interventions to control and prevent infectious diseases.

Prevalence of developmental and behavioral disorders in a pediatric hospital.

OBJECTIVE: The objective of this study was to estimate the prevalence of developmental and behavioral disorders in a convenience sample of children in an acute care pediatric hospital setting. We hypothesized that hospitalized children would have a higher prevalence of developmental and behavioral disorders than the general population. METHODS: Data for this cross-sectional study were collected during interviews with primary caregivers of 325 children from infancy throughout childhood who were admitted to a general pediatric service. Screening tests included the Child Development Inventory (3 months to 6 years), Parents' Evaluation of Developmental Status (0-8 years), Pediatric Symptom Checklist (4-18 years), and Vanderbilt Attention-Deficit/Hyperactivity Disorder Parent Rating Scale (6-18 years). Children were classified as having a known developmental and behavioral disorder, a suspected developmental and behavioral disorder, or no developmental and behavioral disorder. RESULTS: The prevalence of developmental and behavioral disorders among the hospitalized children 6 months to 17 years of age was 33.5%. A total of 72 children (22.1%) had known developmental and behavioral disorders and 37 (11.4%) had suspected developmental and behavioral disorders. This high prevalence of developmental and behavioral disorders included high rates of cerebral palsy (6.1%) and mental retardation or developmental delay (8.6%). CONCLUSION: Hospitalization for treatment of acute conditions provides another opportunity for developmental surveillance. This higher prevalence of developmental and behavioral disorders in hospitalized children emphasizes the need to screen for developmental disabilities at every opportunity. Strategies to implement systematic screening of hospitalized children should be examined.