Accuracy of public health data linkages.
OBJECTIVE: To evaluate the accuracy of computer-matched records for maternal and child health epidemiologic investigations. METHODS: Using Automatch probabilistic record linkage software, we linked electronic records in Georgia for the 2001 Medicaid paid delivery claims and infant deaths of the 2001...
| Publicado en: | Maternal & Child Health Journal Vol. 13; no. 4; pp. 531 - 539 |
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| Autores principales: | , |
| Formato: | equations & formulas research tables/charts Journal Article |
| Publicado: |
Springer Nature
Jul2009
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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=105537092&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 105537092 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10927875 N9J jtl: Maternal & Child Health Journal issn: 10927875 maglogo: N pubinfo: dt: Jul2009 vid: 13 iid: 4 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 105537092 2010287560 10.1007/s10995-008-0377-6 NLM18574680 105537092 ppf: 531 ppct: 8 formats: fmt: @attributes: type: P tig: atl: Accuracy of public health data linkages. aug: au: Qayad MG Zhang H affil: MCH Epidemiology Section, Epidemiology Branch, Georgia Division of Public Health, Georgia Department of Human Resources, Atlanta, GA, USA; MQayad@cdc.gov sug: subj: Documentation Evaluation Maternal-Child Health Resource Databases Evaluation Birth Certificates Death Certificates Descriptive Statistics Epidemiological Research Georgia Medicaid Predictive Value of Tests Reliability Human ab: OBJECTIVE: To evaluate the accuracy of computer-matched records for maternal and child health epidemiologic investigations. METHODS: Using Automatch probabilistic record linkage software, we linked electronic records in Georgia for the 2001 Medicaid paid delivery claims and infant deaths of the 2001 birth cohort to 2001 births, and the 2002 newborn screening and hospital discharge data to 2002 births, using multiple variables for matching. We evaluated the accuracy of matches using a manual inspection of a subset of linked pairs and validated with external data. We assessed the agreement between two programmers who linked the same data independently to examine the reliability of the manual inspection technique, and estimated the percent matches to examine further the accuracy of linked data. RESULTS: The percent of records matched in the data linked ranged from 90% to 100% on the measures used. The positive and negative predictive values of the computer-matched records were both 100%. The agreement between the computer-matched data and the external data on the method of payment for the delivery was 90%. The reliability of the manual inspection technique was 95%. CONCLUSION: The computer-matched records evaluated were sufficiently accurate. This provides a unique source to public health practitioners and researchers to perform epidemiological studies that could not be possible with single sources data. pubtype: Academic Journal doctype: equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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