2006
DOI: 10.1002/bdra.20291
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Feasibility of using the national hospital discharge survey to estimate the prevalence of selected birth defects

Abstract: NHDS data underestimate the prevalence of most birth defects. Additional research is needed to determine whether NHDS estimates may be useful for evaluating trends in certain conditions. Surveillance systems employing active case-finding continue to provide more accurate estimates of birth defects prevalence.

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Cited by 17 publications
(16 citation statements)
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“…Considering only the first year of life may be accounted as a conservative prevalence estimation. Similarly in another prevalence study estimating birth defects using US hospital discharges, they found a tendency towards underestimation [18]. But the estimated prevalence of 3.6 per 10,000 newborns is comparable to existing prevalence studies [5][6][7][8][9][10][11][12].…”
Section: Discussionsupporting
confidence: 64%
“…Considering only the first year of life may be accounted as a conservative prevalence estimation. Similarly in another prevalence study estimating birth defects using US hospital discharges, they found a tendency towards underestimation [18]. But the estimated prevalence of 3.6 per 10,000 newborns is comparable to existing prevalence studies [5][6][7][8][9][10][11][12].…”
Section: Discussionsupporting
confidence: 64%
“…Under‐enumeration will also occur when the time allowed for diagnosis is limited; a recent population‐based study found that 12% of children with CPO were diagnosed after 1 year of age . Use of administrative databases (such as hospital discharge surveys and birth certificate data) for case identification also significantly underestimates prevalence of OFCs (both CL ± P and CPO) …”
Section: Commentmentioning
confidence: 99%
“…53 Use of administrative databases (such as hospital discharge surveys and birth certificate data) for case identification also significantly underestimates prevalence of OFCs (both CL ± P and CPO). 54 The association between alcohol and OFCs is potentially susceptible to confounding by other factors such as maternal age, parity, obstetric history, pregnancy planning, alcohol metabolism, diet, medications, smoking tobacco, and use of illicit substances. 55 While tobacco smoking during pregnancy increases the risk of CL ± P by 34%, and CPO by 22%, 56 only nine studies reported their association between alcohol and OFCs adjusted for smoking and other covariates.…”
Section: Commentmentioning
confidence: 99%
“…The NHDS is a continuous national probability survey, intended to gather and disseminate information on the inpatient utilization of non-Federal short stay hospitals (Dennison & Pokras, 2000;National Center for Health Statistics, 2007a). The data within the NHDS is derived from the medical records of inpatients discharged from a national sample of approximately 500 hospitals (Boulet et al, 2006). The NHDS is considered to be the principle source of national level data on the characteristics of patients discharged from these hospitals (Lou & Zack, 2005).…”
Section: Definition and History Of The Nhdsmentioning
confidence: 99%