A system for rapidly and accurately collecting patients' race and ethnicity.
OBJECTIVES: We assessed the feasibility of collecting race/ethnicity data from patients using their own preferred racial/ethnic terms. METHODS: The 424 patients described their race/ethnicity using their own categories, and we compared their descriptions with their responses to the questions (1) 'Do...
| Published in: | American Journal of Public Health Vol. 96; no. 3; pp. 532 - 538 |
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| Main Authors: | , , , , , , , |
| Format: | research tables/charts Journal Article |
| Published: |
American Public Health Association
Mar2006
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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=106435165&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 106435165 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00900036 APH jtl: American Journal of Public Health issn: 00900036 maglogo: N pubinfo: dt: Mar2006 vid: 96 iid: 3 pid: 44 pub: American Public Health Association place: Washington, District of Columbia artinfo: ui: 106435165 19971725 2009129487 10.2105/AJPH.2005.062620 NLM16449590 106435165 ppf: 532 ppct: 6 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: A system for rapidly and accurately collecting patients' race and ethnicity. aug: au: Baker DW Cameron KA Feinglass J Thompson JA Georgas P Foster S Pierce D Husnain-Wynia R affil: Division of General Internal Medicine, Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Ill; dwbaker@northwestern.edu sug: subj: Data Collection Methods Database Quality Ethnic Groups Classification Race Factors Classification Self Report Academic Medical Centers Adult Aged Chi Square Test Confidence Intervals Convenience Sample Data Analysis Software Data Collection, Computer Assisted Descriptive Statistics Female Funding Source Illinois Instrument Construction Interviews kappa Statistic Male Middle Age Multiple Logistic Regression Odds Ratio P-Value Patient Attitudes Pilot Studies Time Factors Two-Tailed Test Human Adult: 19-44 years Aged: 65+ years Middle Aged: 45-64 years Female Male ab: OBJECTIVES: We assessed the feasibility of collecting race/ethnicity data from patients using their own preferred racial/ethnic terms. METHODS: The 424 patients described their race/ethnicity using their own categories, and we compared their descriptions with their responses to the questions (1) 'Do you consider yourself Latino or Hispanic?' and (2) 'Which category best describes your race?' (7 response options in our computer interview). We also determined patients' preferences between the 2 approaches. RESULTS: seconds. Rates of missing values and categorization as 'other' race were lower than with the closed questions. Agreement between racial/ethnic categorization with open-ended and closed responses was 93% (kappa =0.88). Latino/Hispanic and multiracial/multiethnic individuals were more likely to prefer using their own categories to describe their race/ethnicity. CONCLUSIONS: Collecting race/ethnicity data using patients' own racial/ethnic categories is feasible with the use of computerized systems to capture verbatim responses and results in lower rates of missing and unusable data than do standard questions. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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