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Physician utilization disparities between the uninsured and insured. Comparisons of the chronically ill, acutely ill, and well nonelderly populations
Abstract
BACKGROUND: This study examines the associations between lack of health insurance coverage and physician utilization for the chronically ill, acutely ill, and well nonelderly populations in the United States. METHODS: Cross-sectional data from the 1989 National Health Interview Survey, conducted by the National Center for Health Statistics, were analyzed for the nonelderly population using a correlational, two-group design (N = 102,055). Analytic models, using multiple logistic regression, were tested to predict the odds and likelihood of physician utilization for the uninsured and insured in the three subpopulations (ie, chronically ill, acutely ill, and well), controlling for health status, number of conditions, and geographic, sociodemographic, and economic factors. Disparities in utilization were then calculated between the uninsured and insured for each subpopulation. RESULTS: The nonelderly uninsured were consistently less likely than the insured to have received any health care within 12 months. Moreover, there were differential effects of being uninsured on utilization depending on whether an individual was chronically ill, acutely ill, or well. Whereas chronically ill and well uninsured persons were half as likely to have seen a physician as their insured counterparts (odds ratio, 0.50), acutely ill uninsured persons were almost two thirds as likely to receive physician care (odds ratio, 0.62). Thus, the disparity in physician utilization between the uninsured and insured was larger for the chronically ill and well than for the acutely ill; uninsured acutely ill were less likely to go without care. Of the three populations, those in the well population had average disparities with the largest magnitude (40%), compared with disparities of the chronically ill (20%) and acutely ill (10%). CONCLUSIONS: These disparities represent large inequities in utilization of care by the uninsured, particularly for the chronically ill and well. Whether these disparities result from lower access or individual choice cannot be determined from this study. When viewed in light of other studies examining the impact of utilization on health status, these results provide support for the development of comprehensive health insurance packages with universal coverage and better inclusion of chronic and preventive care models in benefit packages.
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Citations
Cites
The Validity of Self-reported Physician Utilization Measures
Cleary, P. D., & Jette, A. M. (1984) · Medical Care · doi:10.1097/00005650-198409000-00003 · Cited by 163
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Ayanian, J. Z. (2000) · JAMA · doi:10.1001/jama.284.16.2061 · Cited by 766
The unmet health care needs of homeless adults: a national study
Baggett, T. P., O'Connell, J. J., Singer, D. E., & Rigotti, N. A. (2010) · American Journal of Public Health · doi:10.2105/ajph.2009.180109 · Cited by 552
Under use of necessary care among cancer survivors
Earle, C. C., & Neville, B. A. (2004) · Cancer · doi:10.1002/cncr.20560 · Cited by 454
Cheng, S. (1997) · JAMA · doi:10.1001/jama.278.2.89 · Cited by 276
Metadata
- Authors
- Hafner-Eaton, C.
- Venue
- JAMA
- Publisher
- American Medical Association
- Published
- 1993-02-10
- Volume
- 269
- Issue
- 6
- Pages
- 787-792
- ISSN
- 0002-9955 (ISSN-L)
- OpenAlex
- W4256407207
- Cited by
- 170
- References
- 1
- FWCI
- 38.89
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Physician utilization disparities between the uninsured and insured. Comparisons of the chronically ill, acutely ill, and well nonelderly populations. https://app.cochat.ai/papers/10.1001/jama.269.6.787
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- Hafner-Eaton, C. (1993). Physician utilization disparities between the uninsured and insured. Comparisons of the chronically ill, acutely ill, and well nonelderly populations. JAMA. https://doi.org/10.1001/jama.269.6.787
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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