ArticleAIMS public health2021
Identifying the insured and uninsured in rural America: an empirical discriminant analysis.
Article in AIMS public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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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
1 citing paper in PubMed.
- Residence in a rural setting is associated with lower five-year survival rates in patients that undergo spine surgery for breast cancer metastatic to the spine: A propensity matched analysis.North American Spine Society journal · 2026Article
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThis present study sought to investigate whether there were factors that could discriminate insured from uninsured rural Americans.
methodsData for four groups were used: 34 uninsured, 102 government-insured (GP), 324 private- or employer-insured (PEP), and 96 both government- and private- or employer-insured (GPEP). A discriminant analysis was conducted on the four groups, using group membership as the dependent variable; age, education, income, attitude to insurance, emergency room visit, chronic disease prevalence were the independent variables.
findingsThe analysis yielded three discriminant functions, however the only significant function was the one that discriminated the PEP-insured individuals from the other groups. About 48% of the cases were classified correctly with the significant discriminant function.
conclusionThe findings of this study can serve as a baseline for future research seeking to eradicate barriers to getting health insurance among the uninsured in rural America.
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