2007
DOI: 10.1002/pds.1534
|View full text |Cite
|
Sign up to set email alerts
|

Positive predictive value of computerized records for major congenital malformations

Abstract: Depending on the defect, computerized claims data linked to vital records offer opportunities for identifying birth defects in populations of vulnerable persons. However, for many defects, medical record confirmation is likely to be required to provide valid identification of malformation occurrence.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
2

Citation Types

3
61
0

Year Published

2009
2009
2023
2023

Publication Types

Select...
8
1

Relationship

1
8

Authors

Journals

citations
Cited by 54 publications
(64 citation statements)
references
References 10 publications
3
61
0
Order By: Relevance
“…In our study, Medicaid claims data had poor predictive value (29%) for identifying true cases of HSCR, particularly for Alaska non-Native infants. Our findings support the work of other authors who have suggested the need for medical record confirmation of birth defects data obtained from Medicaid claims data (Grisso et al, 1997;Cooper et al, 2008).…”
Section: Discussionsupporting
confidence: 92%
See 1 more Smart Citation
“…In our study, Medicaid claims data had poor predictive value (29%) for identifying true cases of HSCR, particularly for Alaska non-Native infants. Our findings support the work of other authors who have suggested the need for medical record confirmation of birth defects data obtained from Medicaid claims data (Grisso et al, 1997;Cooper et al, 2008).…”
Section: Discussionsupporting
confidence: 92%
“…Several publications have reported states' use of Medicaid data for identification of children with birth defects; but, with respect to correctly identifying cases, these reports did not evaluate the specific benefits or limitations of using Medicaid data for this purpose (Morgan et al, 2000;Shaw-Taylor, 2001; National Birth Defects Prevention Network, 2008). We are not aware of previous studies that have assessed the source-specific PPV of a complete Medicaid claims database for birth defects surveillance, but Cooper et al (2008) reported PPVs for specific conditions ranging from 34.3 to 93.1% using a combination of Medicaid inpatient claims and birth certificates for identifying cases of specific birth defects. (Alaska does not use vital records as a reporting source for birth defects surveillance because of the low validity of birth certificates for this purpose [Watkins et al, 1996]).…”
Section: Discussionmentioning
confidence: 99%
“…The gestational age recorded in birth certificates is typically calculated from an algorithm that uses information on LMP (based on maternal recall), ultrasound and clinical assessment; a study that used data from the same population (TennCare, 1985-2002) and data system as the one used for our study showed a concordance of 94% between the date of the LMP in birth certificates and medical records; 18 We determined the percentile for birthweight for each infant based on the gestational age using sex-specific references. 19 SGA infants were defined as those with a birthweight below the 10 th percentile for their gestational age.…”
Section: Methodsmentioning
confidence: 99%
“…Billing codes for major birth defects in a single claim have a low positive predictive value (typically 50% to 70%). 11, 14, 15 We calculated incremental expenditures for preterm birth, both overall and excluding infants with major birth defects.…”
Section: Methodsmentioning
confidence: 99%