Validation of an Arab name algorithm in the determination of Arab ancestry for use in health research.
Objective. Data about Arab-Americans, a growing ethnic minority, are not routinely collected in vital statistics, registry, or administrative data in the USA. The difficulty in identifying Arab-Americans using publicly available data sources is a barrier to health research about this group. Here, we...
| Published in: | Ethnicity & Health Vol. 15; no. 6; pp. 639 - 648 |
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| Main Authors: | , , |
| Format: | research tables/charts Journal Article |
| Published: |
Taylor & Francis Ltd
Dec2010
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104962128&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104962128 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 13557858 EHH jtl: Ethnicity & Health issn: 13557858 maglogo: N pubinfo: dt: Dec2010 vid: 15 iid: 6 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 104962128 2010875870 10.1080/13557858.2010.505979 104962128 ppf: 639 ppct: 9 formats: fmt: @attributes: type: P tig: atl: Validation of an Arab name algorithm in the determination of Arab ancestry for use in health research. aug: au: El-Sayed, Abdulrahman M. Lauderdale, Diane S. Galea, Sandro affil: Medical School, University of Michigan, Ann Arbor, MI, USA, Department of Public Health, Oxford University, Oxford, UK, Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA sug: subj: Arabs Social Identity Descriptive Statistics Female Funding Source Human Male Michigan Predictive Value of Tests Self Report Sensitivity and Specificity Female Male ab: Objective. Data about Arab-Americans, a growing ethnic minority, are not routinely collected in vital statistics, registry, or administrative data in the USA. The difficulty in identifying Arab-Americans using publicly available data sources is a barrier to health research about this group. Here, we validate an empirically based probabilistic Arab name algorithm (ANA) for identifying Arab-Americans in health research. Design. We used data from all Michigan birth certificates between 2000 and 2005. Fathers' surnames and mothers' maiden names were coded as Arab or non-Arab according to the ANA. We calculated sensitivity, specificity, and positive (PPV) and negative predictive values (NPV) of Arab ethnicity inferred using the ANA as compared to self-reported Arab ancestry. Results. Statewide, the ANA had a specificity of 98.9%, a sensitivity of 50.3%, a PPV of 57.0%, and an NPV of 98.6%. Both the false-positive and false-negative rates were higher among men than among women. As the concentration of Arab- Americans in a study locality increased, the ANA false-positive rate increased and false-negative rate decreased. Conclusion. The ANA is highly specific but only moderately sensitive as a means of detecting Arab ancestry. Future research should compare health characteristics among Arab-American populations defined by Arab ancestry and those defined by the ANA. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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