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Pediatric Informatics: Computer Applications in Child Health (Health ...

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6 <strong>Child</strong>ren with Developmental Disorders and Other Special Needs 59<br />

Surveillance of more severe types of problems (such as birth defects) may be<br />

more standardized. An example of this is the Birth Defects Monitor<strong>in</strong>g Program<br />

(BDMP) of the Centers for Disease Control. Although 34 states are <strong>in</strong>volved <strong>in</strong> this<br />

program, reliability and validity of data collection vary. Although there is standardized<br />

collection of birth records, only 11 of these 34 states have active case-f<strong>in</strong>d<strong>in</strong>g,<br />

without which many CSHCN might be excluded because their birth defects would<br />

not discovered until days or months after birth. 24 A report from the Centers for<br />

Disease Control and Prevention (CDC) 24 us<strong>in</strong>g BDMP data, for example, found that<br />

cleft lip/palate was the most common birth defect, followed by Trisomy 21. The<br />

key to achiev<strong>in</strong>g accurate results (reliable data) is to use programs that have been<br />

designed and standardized for a particular purpose (e.g., the BDMP) as opposed to<br />

“rout<strong>in</strong>e <strong>in</strong>formation systems” such as uncontrolled population registers or general<br />

child health surveys to monitor the prevalence of disabilities <strong>in</strong> children. 25<br />

Standardized surveillance and monitor<strong>in</strong>g are useful to determ<strong>in</strong>e variations <strong>in</strong><br />

<strong>in</strong>cidence or prevalence. Data on variations may help identify or rule out causative<br />

agents. In one example, data from the Metropolitan Atlanta Congenital Defects<br />

Program did not reveal a significant seasonal variance <strong>in</strong> birth defects, 26 while <strong>in</strong><br />

other examples, data have revealed seasonal variation of premature births <strong>in</strong> the<br />

United States, which have led researchers to look for causation, such as <strong>in</strong>fectious<br />

diseases. 27,28<br />

An example of <strong>in</strong>formation technology to improve detection and coord<strong>in</strong>ation<br />

among public health agencies and private health services is a project of the Genetic<br />

Services branch of the federal Maternal <strong>Child</strong> <strong>Health</strong> Bureau. In this project, grants<br />

are given to 25 states to improve the <strong>in</strong>tegration of the newborn metabolic screen<strong>in</strong>g<br />

results systems (and their l<strong>in</strong>ked genetic referral systems) to other maternal<br />

and child health systems with<strong>in</strong> each state. In cooperation with the federal Public<br />

<strong>Health</strong> <strong>Informatics</strong> Institute, a qualitative assessment named “All Kids Count” has<br />

been developed to assess these state <strong>in</strong>novations and to implement a “bus<strong>in</strong>ess/<br />

policy case address<strong>in</strong>g these <strong>in</strong>novations.” 29<br />

The <strong>in</strong>tegration of <strong>in</strong>formation at the state level may improve decision-mak<strong>in</strong>g<br />

and fund<strong>in</strong>g for agencies deal<strong>in</strong>g with CSCHN which can improve outcomes for<br />

these children and families. Families have been found to be enthusiastic about <strong>in</strong>tegrated<br />

<strong>in</strong>formation systems, feel<strong>in</strong>g that they might assist <strong>in</strong> coord<strong>in</strong>ation of health<br />

care, but need to be central <strong>in</strong> the plann<strong>in</strong>g, development, and implementation of<br />

such systems to maximize their value and impact. 30<br />

6.2.2 Case Study: Part 2<br />

In look<strong>in</strong>g for a specialist for Jeffrey, his pediatrician was able to get <strong>in</strong>formation<br />

and to set up an appo<strong>in</strong>tment through the secure Web site of the local children’s<br />

hospital (of which she was also an attend<strong>in</strong>g pediatrician) via secure e-mail service.<br />

Jeffrey would be seen <strong>in</strong> the Neurodevelopmental Diagnostic Cl<strong>in</strong>ic with<strong>in</strong><br />

1 month.

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