
In
This Issue
Fall
2006
Gathering
Celebrates the Dream
of Inclusive Communities
Director’s
Corner
Television
Campaign
Targets Awareness
Awards
Banquet Goes Hi-Tech
Equity
and Excellence in Higher Education—Collaboration for Learning
Growing
Ideas Tipsheets
Benefit Young Children
New
Initiatives Underway
Disability
Studies Scholars Receive Certificates of Completion
Teambuilding
III Offers Training
for Educational Surrogate Parents
Prevention
Center of Excellence
at CCIDS
Zeph
Testifies Before
House Appropriations Committee
CCIDS
Introduces Colloquium Series
Statewide
Database Links At-risk
Babies with Services for Early
Intervention
Researchers
Specialize in
Epidemiology of Child Development
Early
Childhood Professionals
Advance Skills, Services
Upcoming
CCIDS Events
IDS
Enrollment Increases
Presentations
& Publications
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Researchers
Specialize in Epidemiology of Child Development
Center
for Community Inclusion and Disability Studies (CCIDS) researchers Craig
Mason and Shihfen Tu are methodologists who specialize in informatics
to benefit early childhood development. They are helping Maine develop
comprehensive, confidential databases of information about the state’s
newborns, including new ways of looking at and linking statistical data,
in an effort to ultimately improve the quality of life for those with
special needs.
Their research in Maine began in 2001 with ChildLINK, a collaboration
between UMaine and the Maine Center for Disease Control and Prevention
(Maine CDC) to compile a database to ultimately integrate information
from the State of Maine Electronic Birth Certificate, the Newborn Hearing
Screen, the Newborn Metabolic Screen, and the Birth Defects Registry
(See story: Statewide Database Links
At-Risk Babies with Services for Early Intervention).
Maine law established the Maine Birth Defects Program and the Maine
Newborn Hearing Program, both in the Maine Bureau of Health, in 1999
and 2000, respectively. After a 2002 pilot of ChildLINK, focusing on
newborn hearing screening, the birth defects registry went online the
following year. The state implemented universal newborn hearing screening
in 2004, automating the newborn hearing screening tracking and mandating
reporting requirements for hospitals and healthcare providers.
Licensed clinical social worker and programmer Cecilia Cobo-Lewis, and
database administrator Quansheng Song, both of CCIDS, provide the primary
training and technical support to healthcare professionals reporting
statewide.
“We’d like to see Maine have a seamless, streamlined system
for children with special needs so families can be immediately connected
to the help they need,” said Mason.
Mason and Tu have particular interest in developing methods for protecting
privacy in data collection. The key is in protecting privacy while making
the information usable.
“That’s part of the role universities play in facilitating
this work,” said Mason. “It’s a collaboration among
universities, and state and private agencies that has proved valuable
in a number of states.”
Using the databases, state health officials can track and plan services,
and enhance opportunities for applied state public health surveying
and research. ChildLINK can generate on-demand individualized demographics
reports statewide or by hospital for officials with the highest access
privileges. Even family-level studies are possible, which are particularly
important in research on genetic patterns or environmental risks. With
Institutional Review Board (IRB) approval and Maine CDC review, researchers
will be able to access anonymous, aggregate information for conducting
policy-relevant public health studies.
Mason and Tu are members of a national consortium of researchers specializing
in child developmental epidemiology using public health databases. The
hybridization—bridging public health epidemiology and traditional
child development—has led to the creation of the Journal of Developmental
Epidemiology. Mason is an associate editor; Tu serves on the editorial
board of the journal, to be published online by BioMed Central.
“It is work on population-level data using methodology to identify
early childhood risk factors to predict social, developmental and educational
outcomes,” says Tu.
—
Margaret Nagle
Excerpted with permission
from UMaine Today magazine
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