229529 Lead and kindergarten reading readiness: Using community data providers to examine linkages between child health and educational outcomes

Tuesday, November 9, 2010

Pat McLaine, RN, MPH, DrPH , Department of Family and Community Health, University of Maryland School of Nursing, Columbia, MD
Peter Simon, MD, MPH , Division of Community, Family Health and Equity, Rhode Island Department of Health, Providence, RI, Albania
Community data providers have access to and are using population data for community planning and evaluation. Many are in a unique position to link population level data (e.g. birth, surveillance and educational data) at the individual level in order to investigate associations between reported health information and outcomes occurring later in life. By linking data at the individual level and de-identifying data prior to making it available to others for analysis, individual rights and confidentiality under FERPA and HIPPA regulations are protected. In addition, community data providers are able to easily use their expertise with GIS to highlight the power of place by geo-mapping relationships of both exposure (such as lead, poverty, low education) and health or educational outcomes (such as premature birth, reading readiness) with spatial location. We will highlight methodology and findings from a recent study investigating the relationship between blood lead levels (BLLs) and kindergarten reading readiness in 3,406 children living in Providence, Rhode Island. The study found that children whose BLLs were 5-9 and 10+ug/dL were 1.44 and 2.51 times more likely to fail to achieve the fall benchmark for reading readiness, compared to children whose BLLs were 0-4ug/dL. At the end of kindergarten, children who had scored below fall benchmark and who had BLLs ≥5ugdL were approximately 1.5 times more likely to fail to achieve the spring reading readiness benchmark compared to children with BLLs<5ug/dL. For children who achieved the fall benchmark, BLLs were not associated with an increased risk of failure in the spring.

Learning Areas:
Environmental health sciences
Epidemiology
Public health or related public policy
Public health or related research

Learning Objectives:
Identify two benefits that linkage of secondary datasets by community data providers could provide to state and local health departments and local communities. Identify opportunities for building collaboration and trust between organizations that will share data. Describe two ways that geo-mapping can be used in analyses of existing MCH and educational data sets. Describe the relationship between blood lead levels and reading readiness in the fall and spring of kindergarten. Identify at least one limitation of this approach.

Keywords: Data/Surveillance, Legislative

Presenting author's disclosure statement:

Qualified on the content I am responsible for because: I have conducted the research being discussed for my doctoral dissertation.
Any relevant financial relationships? Yes

Name of Organization Clinical/Research Area Type of relationship
CDC Lead Poisoning Prevention Branch Lead poisoning prevention Contract received to support doctoral dissertation work. I am also a member of CDC's lead and education workgroup which last met in August or September 2009.

I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.