Development of the Drug-Exposed Infant Identification Algorithm (DEIIA) and Its Application to Measuring Part C Early Intervention Referral and Eligibility in Massachusetts, 1998-2005.
The objectives of this study were to develop an algorithm using government-collected administrative data to identify prenatally drug-exposed infants (DEI) and determine the percent who were referred to and eligible for Part C Early Intervention (EI) in Massachusetts. Data from the population-based P...
| Publicado en: | Maternal & Child Health Journal Vol. 17; no. 9; pp. 1567 - 1576 |
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| Autor principal: | |
| Formato: | algorithm research tables/charts Journal Article |
| Publicado: |
Springer Nature
Nov2013
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104153007&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104153007 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10927875 N9J jtl: Maternal & Child Health Journal issn: 10927875 maglogo: N pubinfo: dt: Nov2013 vid: 17 iid: 9 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 104153007 91696717 10.1007/s10995-012-1157-x NLM23065297 104153007 ppf: 1567 ppct: 9 formats: fmt: @attributes: type: P tig: atl: Development of the Drug-Exposed Infant Identification Algorithm (DEIIA) and Its Application to Measuring Part C Early Intervention Referral and Eligibility in Massachusetts, 1998-2005. aug: au: Derrington, Taletha affil: The Heller School for Social Policy and Management, Brandeis University, 415 South Street, MS 035 Waltham 02454 USA sug: subj: Early Childhood Intervention Prenatal Exposure Delayed Effects Substance Abuse, Perinatal Eligibility Determination Referral and Consultation Fetal Alcohol Syndrome Algorithms Human Infant Massachusetts Documentation Univariate Statistics Birth Certificates Data Analysis Software Funding Source Infant: 1-23 months ab: The objectives of this study were to develop an algorithm using government-collected administrative data to identify prenatally drug-exposed infants (DEI) and determine the percent who were referred to and eligible for Part C Early Intervention (EI) in Massachusetts. Data from the population-based Pregnancy to Early Life Longitudinal (PELL) Data System were used to develop the Drug-Exposed Infant Identification Algorithm (DEIIA). The DEIIA uses positive toxicology screens on the birth certificate and International Classification of Diseases, 9th Edition, Clinical Modification diagnostic codes in hospital records of the mother (prenatal and birth) and infant (birth and postnatal) to identify infants affected by substance abuse/dependence, withdrawal, and/or prenatal exposure to non-medical use of controlled substances. PELL-EI data linkages were used to determine the percent referred, evaluated, and eligible. The DEIIA identified 7,348 drug-exposed infants born in Massachusetts from 1998 to 2005 to resident mothers (1.2 % of all births). Most DEI (82.6 %) were identified from maternal/infant birth hospital records. Sixty-one percent of all DEI were referred to EI; 87.2 % of those referred were evaluated, and 89.4 % of those evaluated were found eligible. EI data contained information on drug exposure for 59.9 % of referred DEI. Only 2.8 % of MA resident births who were referred to EI but not identified by the DEIIA had drug indicators in EI data. DEI referrals to EI are federally mandated, but many are not referred. The DEIIA uses data available in most states and could be used as a public health screening tool to improve access to developmental services for DEI. pubtype: Academic Journal doctype: algorithm research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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