ArticleHealth services & outcomes research methodology2009
Adjusting for Health Status in Non-Linear Models of Health Care Disparities.
Article in Health services & outcomes research methodology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.
What it found
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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.
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Who cites it
52 citing papers in PubMed.
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- Applying the Target Study Conceptual Model to Measure Racial and Ethnic Disparities in Hypertension Treatment Intensification.Epidemiology (Cambridge, Mass.) · 2026Article
- Causal Inference in Health Disparities Research.Annual review of public health · 2026Review
- Matching with Multiple Criteria and Its Application to Health Disparities Research.Observational studies · 2026Article
- Propensity score weighting analysis with complex survey data for estimating population-level treatment effects on survival: a simulation study.Health services & outcomes research methodology · 2025Article
- Do Physical Activities Prevent the Occurrence of Bothersome Pain?Journal of applied gerontology : the official journal of the Southern Gerontological Society · 2025Article
- Quantification of racial and ethnic disparities in alcohol-related problems in light of different methodological approaches.Addiction (Abingdon, England) · 2025Article
- The Target Study: A Conceptual Model and Framework for Measuring Disparity.Sociological methods & research · 2025Article
- COMPARATIVE EFFECTIVENESS OF PROPENSITY SCORE ESTIMATION METHODS FOR INVERSE PROBABILITY OF TREATMENT WEIGHTING ANALYSIS WITH COMPLEX SURVEY DATA: A SIMULATION STUDY.Journal of survey statistics and methodology · 2025Article
- Assessing racial disparities in healthcare expenditure using generalized propensity score weighting.BMC medical research methodology · 2025Article
- A Review of the Causal Decomposition Framework for Modeling Interventions that Reduce Disparities.Current epidemiology reports · 2025Article
- Propensity score weighting with survey weighted data when outcomes are binary: a simulation study.Health services & outcomes research methodology · 2024Article
- Evaluating Effects of Multilevel Interventions on Disparity in Health and Healthcare Decisions.Prevention science : the official journal of the Society for Prevention Research · 2024Article
- Social Risk Factors and Racial and Ethnic Disparities in Health Care Resource Utilization Among Medicare Advantage Beneficiaries With Psychiatric Disorders.Medical care research and review : MCRR · 2024Article
- Propensity score analysis for health care disparities: a deweighting approach.BMC medical research methodology · 2024Article
- Federal Housing Assistance and Chronic Disease Among US Adults, 2005-2018.Preventing chronic disease · 2023Article
- Inequalities in cesarean births between American Indian & Alaska Native people and White people.Health services research · 2023Article
- Cognitive impairment associated with greater care intensity during home health care.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2022Article
- Patient cognitive impairment associated with higher home health care delivery costs.Health services research · 2022Article
- Effect of the Patient-Centered Medical Home on Racial Disparities in Quality of Care.Journal of general internal medicine · 2020Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
This article compared conceptual and empirical strengths of alternative methods for estimating racial disparities using non-linear models of health care access. Three methods were presented (propensity score, rank and replace, and a combined method) that adjust for health status while allowing SES variables to mediate the relationship between race and access to care. Applying these methods to a nationally representative sample of blacks and non-Hispanic whites surveyed in the 2003 and 2004 Medical Expenditure Panel Surveys (MEPS), we assessed the concordance of each of these methods with the Institute of Medicine (IOM) definition of racial disparities, and empirically compared the methods' predicted disparity estimates, the variance of the estimates, and the sensitivity of the estimates to limitations of available data. The rank and replace and combined methods (but not the propensity score method) are concordant with the IOM definition of racial disparities in that each creates a comparison group with the appropriate marginal distributions of health status and SES variables. Predicted disparities and prediction variances were similar for the rank and replace and combined methods, but the rank and replace method was sensitive to limitations on SES information. For all methods, limiting health status information significantly reduced estimates of disparities compared to a more comprehensive dataset. We conclude that the two IOM-concordant methods were similar enough that either could be considered in disparity predictions. In datasets with limited SES information, the combined method is the better choice.
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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.