Title: NCHARM Pilot Project
1Utah Department of Health
2UNIQUELY IDENTIFYING NEWBORNS IN STATEWIDE
DATABASES
- John Eichwald, M.A.
- Utah Department of Health
- Children with Special Health Care Needs
- Barry Nangle, PhD, Jan Bagley, RN, BS,
Martee Hawkins, RN, Jane Johnson, BS, and
Nita Owens
3Statutory Authority
- The Utah Department of Health (UDOH) is required
to collect three distinct data sets for each
birth that occurs in Utah - Birth Certificates
- Newborn Heelstick Screening
- Newborn Hearing Screening
4The UDOH Mission
- to coordinate the development of a Information
System (IS) that will allow customers and staff
seeking health information to obtain the
necessary information they need, regardless of
where it is collected.
5The IS Goals
- 1) public health data are complete, uniform and
accurate - 2) stakeholders are satisfied with the
availability and usefulness of public health
data and - 3) public health data are entered only once, and
are readily retrievable by all authorized people.
6The CHARM Project
- CHARM stands for Child Health Advanced Record
Management - The primary goal of CHARM is to create an
electronic child health profile containing
public health information. - One of the first objectives is to link newborn
hearing screening records, heelstick screening
records, and birth certificates.
7Improved Program Management
- If newborn data can be reliably shared it
increases the potential for
- decreasing redundant data collection and
reporting in Utah hospitals - increasing the accuracy of the data being
collected - locating infants missed in screening
- identifying infants lost to follow-up
- not contacting families with infants who have
died - Improving the health status of newborns
8Informed Decision Making
- Challenges of collecting newborn data
- Naming Issues
- first names unassigned baby boy
- last name paternity
- adoptions
- maternal name
- Nursery Issues
- pre-term delivery
- intensive care
- transfers
- early discharges
9Pilot Project
- The Problem How do we uniquely identify newborn
babies in these three databases? - Do we use a deterministic or probabilistic
matching paradigm? - The primary goal of the Pilot Project was to find
out if one number could be used to uniquely
identify newborns.
10Proposed Solution
- Since the process to order and manufacture the
uniquely numbered heelstick kits occurs at least
six months prior to the births in any calendar
year, it was decided to see if this number could
be used to uniquely identify newborns in the
other two data systems.
11Pilot Description
- The Pilot Project was funded in part by the State
Systems Development Initiative (SSDI) grant
through HRSAs Maternal and Child Health Bureau
12Pilot Description
- Two pilot hospitals selected
- Salt Lake Regional Hospital
- large urban
- (1,667 births/year)
- Brigham City Community Hospital
- smaller rural
- (515 births/year)
- Pilot Timeframe
- July 1 through September 30, 2000
1998 Vital Statistics
13Pilot Description
- Created new Birth Record Number (BRN) field
within Hearing Screening and Birth Certificate
databases
14Alternate Record Number
15Pilot Description
Created new Birth Record Number (BRN) field
within Hearing Screening and Birth Certificate
databases
- Designed and printed 1,000 label sheets with six
(6) peel-off pre-numbered labels which were
included with their respective heelstick kit
16Pilot Description
17Pilot Description
- INSTRUCTIONS
- Place these labels as listed below
- 1. Place on Newborn HEARING Screening
record - 2. Place on the Delivery Record
- 3. Place in Medical Records chart
- 4. Place in Newborn Screening Log
- 5. May be used for Immunization
18Pilot Description
Created new Birth Record Number (BRN) field
within Hearing Screening and Birth Certificate
databases Designed and printed 1,000 label sheets
with six (6) peel-off pre-numbered labels which
were included with their respective heelstick kit
- Hospital staff chose their own procedures for
distributing the labels to the birth certificate
and newborn hearing screening staff - This number was then entered into their
respective computer database systems
19Pilot Results
597 Heelstick Screens 594 BRN (99.5)
598 Birth Certificates 594 BRN (99.3)
597 Hearing Screens 592 BRN (99.2)
Birth Record Number (BRN) propagation results
20Pilot Results
- Potential reasons why BRN would not match between
databases - record not in database
- missing BRN
- invalid BRN
- duplicate BRN
- different BRN between databases
21Pilot Results
Linked Records 591 (99.5)
594 Birth Certificates
594 Heelstick Screens
Linked Records 585 (98.8)
Linked Records 585 (98.8)
592 Hearing Screens
22Pilot Results
Heelstick Screens
Birth Certificates
Linked Records 583 (97.5)
Hearing Screens
Total Records Linked (598 Births)
23UDOH Conclusions
- Pilot hospital did an outstanding job!
- Other hospitals not notified of BRN field
- Need to define data procedures when kits are
contaminated - Procedures not defined for missing screens
- Three way matching is complex
- Recognize processes to be integrated, not just
data elements
24Hospital Conclusions
- Implementation process was individualized for
each site - Implementation was felt to be reasonably simple
- Staff felt the label was helpful
- did not have to manually enter heelstick number
into birth log - The BRN was used for other tracking
- Staff felt UDOH should implement BRN
25Outcome of the Pilot
- Due to the apparent success of the pilot project
the use of the Birth Record Numbers will be
phased in for all 44 Utah birthing hospitals
beginning in January 2002
26Thank you!
jeichwal_at_doh.state.ut.us