ArticleHealth services research2002
Methodologic implications of allocating multiple-race data to single-race categories.
Article in Health services research, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed, 21 citations in OpenAlex.
- Article
- Variations in documentation of alcohol use disorder (AUD) diagnoses across race, ethnicity, and sex in a health system that assesses AUD symptoms as part of routine primary care.Journal of substance use and addiction treatment · 2025Article
- A practical approach to using multiple-race response data: a bridging method for public-use microdata.Demography · 2008Article
- Performance of the U.S. Office of Management and Budget's Revised Race and Ethnicity Categories in Asian Populations*International journal of intercultural relations : IJIR · 2007Article
- Classification of race and ethnicity: implications for public health.Annual review of public health · 2003Review
- The correspondence between interracial births and multiple-race reporting.American journal of public health · 2002Article
- Bridging between two standards for collecting information on race and ethnicity: an application to Census 2000 and vital rates.Public health reports (Washington, D.C. : 1974)Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo illustrate methods for comparing race data collected under the 1977 Federal Office of Management and Budget (OMB) directive, known as OMB-15, with race data collected under the revised 1997 OMB standard. DATA SOURCES/STUDY
settingSecondary data from the 1993-95 National Health Interview Surveys. Multiple-race responses, available on in-house files, were analyzed. STUDY
designRace-specific estimates of employer-sponsored health insurance were calculated using proposed allocation methods from the OMB. Estimates were calculated overall and for three population subgroups: children, those in households below poverty, and Hispanics. PRINCIPAL
findingsAlthough race distributions varied between the different methods, estimates of employer-sponsored health insurance were similar. Health insurance estimates for the American Indian/Alaska Native group varied the most.
conclusionsEmployer-sponsored health insurance estimates for American Indian/Alaska Natives from data collected under the 1977 OMB directive will not be comparable with estimates from data collected under the 1997 standard. The selection of a method to distribute to the race categories used prior to the 1997 revision will likely have little impact on estimates of employer-sponsored health insurance for other groups. Additional research is needed to determine the effects of these methods for other health service measures.
Indexed as
Identifiers
11949921PMC1430348W316706842What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.