ArticleHealth services research1998
The demand for healthcare among racial/ethnic subpopulations.
Article in Health services research, 1998. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed.
- The Influence of Racial Differences in the Demand for Healthcare in South Africa: A Case of Public Healthcare.International journal of environmental research and public health · 2020Article
- Socioeconomic factors and women's use of complementary and alternative medicine in four racial/ethnic groups.Ethnicity & disease · 2008Article
- Comparison of antireflux surgery among ethnicity.Journal of the National Medical Association · 2004Article
- The contribution of insurance coverage and community resources to reducing racial/ethnic disparities in access to care.Health services research · 2003Article
- Contact with mental health and primary care providers before suicide: a review of the evidence.The American journal of psychiatry · 2002Review
- Assessing Medicare Health Plan Performance in Serving Beneficiary Subpopulations.Health care financing review · 2001Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo analyze differences in the determination of healthcare expenditures among racial/ethnic groups. DATA SOURCE: The 1987 National Medical Expenditure Survey, a nationally representative sample of the United States population. (Nomenclature reflects racial/ethnic categories as used in the Survey.) STUDY
designThe design was to estimate completely separate demand systems for blacks, Hispanics, and whites, perform statistical tests for the appropriateness of such separation, and carry out various simulations of healthcare expenditures. DATA COLLECTION/EXTRACTION
methodsAll black, white, and Hispanic persons in the 1987 NMES Household Survey were used in this analysis. PRINCIPAL
findingsSeveral of the differences among the equations for the three racial/ethnic groups appear to be related to access to care, particularly between Hispanics and whites, and to a lesser degree between blacks and whites. Simulations indicated that most of the differences in healthcare spending were due on net to differences in characteristics of the sampled persons and their environments. However, for Hispanics relative to both blacks and whites, some of the differences in total expenditures were also due to differences in the behavior embodied in the equations.
conclusionsIt would be inadequate, and possibly misleading, to allow for differences in health expenditures by simply including dummy variables for blacks, Hispanics, and/or whites in pooled equations estimated for the entire sample. Studies that allow one to analyze the institutional and behavioral aspects of healthcare spending in greater detail are needed for a better understanding of these racial/ethnic differences.
Indexed as
Identifiers
9776940PMC1070291What 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.