An Innovative Approach to Increase Lead Testing by Pediatricians in Children, United States, 2019-2021.

Opportunities for lead exposure are common in the United States. The American Academy of Pediatrics, in collaboration with the Centers for Disease Control and Prevention, launched the Increasing Capacity for Blood Lead Testing Extension for Community Healthcare Outcomes (ECHO) project to educate pediatricians on the importance of testing children for lead exposure and to assess practice behavior change. We found that two weeks to one month after receiving training, more than 80% of participants reported increased lead testing and practice changes. Our results support use of the ECHO model as a mechanism for practice change. (Am J Public Health. 2022;112(S7):S647-S650. https://doi.org/10.2105/AJPH.2022.307084).

Update of the Blood Lead Reference Value - United States, 2021.

The negative impact of lead exposure on young children and those who become pregnant is well documented but is not well known by those at highest risk from this hazard. Scientific evidence suggests that there is no known safe blood lead level (BLL), because even small amounts of lead can be harmful to a child's developing brain (1). In 2012, CDC introduced the population-based blood lead reference value (BLRV) to identify children exposed to more lead than most other children in the United States. The BLRV should be used as a guide to 1) help determine whether medical or environmental follow-up actions should be initiated for an individual child and 2) prioritize communities with the most need for primary prevention of exposure and evaluate the effectiveness of prevention efforts. The BLRV is based on the 97.5th percentile of the blood lead distribution in U.S. children aged 1-5 years from National Health and Nutrition Examination Survey (NHANES) data. NHANES is a complex, multistage survey designed to provide a nationally representative assessment of health and nutritional status of the noninstitutionalized civilian adult and child populations in the United States (2). The initial BLRV of 5 µg/dL, established in 2012, was based on data from the 2007-2008 and 2009-2010 NHANES cycles. Consistent with recommendations from a former advisory committee, this report updates CDC's BLRV in children to 3.5 µg/dL using NHANES data derived from the 2015-2016 and 2017-2018 cycles and provides helpful information to support adoption by state and local health departments, health care providers (HCPs), clinical laboratories, and others and serves as an opportunity to advance health equity and environmental justice related to preventable lead exposure. CDC recommends that public health and clinical professionals focus screening efforts on populations at high risk based on age of housing and sociodemographic risk factors. Public health and clinical professionals should collaborate to develop screening plans responsive to local conditions using local data. In the absence of such plans, universal BLL testing is recommended. In addition, jurisdictions should follow the Centers for Medicare & Medicaid Services requirement that all Medicaid-enrolled children be tested at ages 12 and 24 months or at age 24-72 months if they have not previously been screened (3).

Analysis of Escherichia coli and Listeria monocytogenes Isolate Subtyping and Reporting Capacity by Public Health Laboratories, United States (2013-2017).

OBJECTIVES: To demonstrate the performance of 53 laboratories required to submit 90% or more of their pulsed-field gel electrophoresis (PFGE) subtyping results for Escherichia coli O157:H7 (E coli O157:H7) and Listeria monocytogenes (L monocytogenes) to the PulseNet national databases at the Centers for Disease Control and Prevention (CDC) within 4 working days of receiving isolates. METHODS: We examined data from 53 laboratories during 2013-2017 to ascertain whether E. coli O157:H7 and L monocytogenes PFGE data were reported to the PulseNet national databases within 4 working days. RESULTS: In the study period, 45 laboratories that submitted reports during the period (86.8%) met the target for timely submission of 10 606 (94.85%) E coli O157:H7 isolates into the PulseNet national database. For L monocytogenes isolates, 32 laboratories submitted reports (76.95%) that achieved timely submission of 3119 (93.35%) isolates. CONCLUSIONS: This study uncovered areas for improvement to advance public health in the CDC-funded laboratories.

Preassessment of Community-Based Organization Preparedness in Two Sectors, Human Services and Faith Based: New York City, 2016.

Objectives. To determine the level of preparedness among New York City community-based organizations by using a needs assessment.Methods. We distributed online surveys to 582 human services and 6017 faith-based organizations in New York City from March 17, 2016 through May 11, 2016. We calculated minimal indicators of preparedness to determine the proportion of organizations with preparedness indicators. We used bivariate analyses to examine associations between agency characteristics and minimal preparedness indicators.Results. Among the 210 human service sector respondents, 61.9% reported emergency management plans and 51.9% emergency communications systems in place. Among the 223 faith-based respondents, 23.9% reported emergency management plans and 92.4% emergency communications systems in place. Only 10.0% of human services and 18.8% of faith-based organizations reported having funds allocated for emergency response. Only 2.9% of human services sector and 39.5% of faith-based sector respondents reported practicing emergency communication alerts.Conclusions. New York City human service and faith-based sector organizations are striving to address emergency preparedness concerns, although notable gaps are evident.Public Health Implications. Our results can inform the development of metrics for community-based organizational readiness.

Participation in Community Preparedness Programs in Human Services Organizations and Faith-Based Organizations - New York City, 2018.

Community-based organizations have a long history of engagement with public health issues; these relationships can contribute to disaster preparedness (1,2). Preparedness training improves response capacity and strengthens overall resilience (1). Recognizing the importance of community-based organizations in community preparedness, the Office of Emergency Preparedness and Response in New York City's (NYC's) Department of Health and Mental Hygiene (DOHMH) launched a community preparedness program in 2016 (3), which engaged two community sectors (human services and faith-based). To strengthen community preparedness for public health emergencies in human services organizations and faith-based organizations, the community preparedness program conducted eight in-person preparedness trainings. Each training focused on preparedness topics, including developing plans for 1) continuity of operations, 2) emergency management, 3) volunteer management, 4) emergency communications, 5) emergency notification systems, 6) communication with persons at risk, 7) assessing emergency resources, and 8) establishing dedicated emergency funds (2,3). To evaluate training effectiveness, data obtained through online surveys administered during June-September 2018 were analyzed using multivariate logistic regression. Previously described preparedness indicators among trained human services organizations and faith-based organizations were compared with those of organizations that were not trained (3). Participation in the community preparedness program training was associated with increased odds of meeting preparedness indicators. NYC's community preparedness program can serve as a model for other health departments seeking to build community preparedness through partnership with community-based organizations.

Performance of Point of Dispensing Setup Drills for Distribution of Medical Countermeasures: United States and Territories, 2012-2016.

OBJECTIVES: To describe results of points of dispensing (POD) medical countermeasure drill performance among local jurisdictions. METHODS: To compare POD setup times for each year, we calculated descriptive statistics of annual jurisdictional POD setup data submitted by over 400 local jurisdictions across 50 states and 8 US territories to a Centers for Disease Control and Prevention (CDC) program monitoring database from July 2012 to June 2016. RESULTS: In data collected from July 2012 to June 2015, fewer than 5% of PODs required more than 240 minutes to set up, although the proportion increased from July 2015 to June 2016 to almost 12%. From July 2012 to June 2016, more than 60% of PODs were set up in less than 90 minutes, with 60 minutes as the median setup time during the period. CONCLUSIONS: Our results yield evidence of national progress for response to a mass medical emergency. Technical assistance may be required to aid certain jurisdictions for improvement. Public Health Implications. The results of this study may inform future target times for performance on POD setup activities and highlight jurisdictions in need of technical assistance.

Social Vulnerability and Access of Local Medical Care During Hurricane Harvey: A Spatial Analysis.

OBJECTIVES: When Hurricane Harvey struck the coastline of Texas in 2017, it caused 88 fatalities and over US $125 billion in damage, along with increased emergency department visits in Houston and in cities receiving hurricane evacuees, such as the Dallas-Fort Worth metroplex (DFW).This study explored demographic indicators of vulnerability for patients from the Hurricane Harvey impact area who sought medical care in Houston and in DFW. The objectives were to characterize the vulnerability of affected populations presenting locally, as well as those presenting away from home, and to determine whether more vulnerable communities were more likely to seek medical care locally or elsewhere. METHODS: We used syndromic surveillance data alongside the Centers for Disease Control and Prevention Social Vulnerability Index to calculate the percentage of patients seeking care locally by zip code tabulation area. We used this variable to fit a spatial lag regression model, controlling for population density and flood extent. RESULTS: Communities with more patients presenting for medical care locally were significantly clustered and tended to have greater socioeconomic vulnerability, lower household composition vulnerability, and more extensive flooding. CONCLUSIONS: These findings suggest that populations remaining in place during a natural disaster event may have needs related to income, education, and employment, while evacuees may have more needs related to age, disability, and single-parent household status.