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Societal and Individual Determinants of Medical Care Utilization in the United States
Open accessAbstract
A theoretical framework for viewing health services utilization is presented, emphasizing the importance of the (1) characteristics of the health services delivery system, (2) changes in medical technology and social norms relating to the definition and treatment of illness, and (3) individual determinants of utilization. These three factors are specified within the context of their impact on the health care system. Empirical findings are discussed which demonstrate how the framework might be employed to explain some key patterns and trends in utilization. In addition, a method is suggested for evaluating the utility of various individual determinants of health services utilization used in the framework for achieving a situation of equitable distribution of health services in the United States.
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Metadata
- Authors
- ANDERSEN, R., & NEWMAN, J. F.
- Venue
- The Milbank Quarterly
- Publisher
- Wiley
- Published
- 2005-11-18
- Volume
- 83
- Issue
- 4
- Pages
- 95-124
- ISSN
- 0887-378X (ISSN-L)
- 1468-0009
- OpenAlex
- W1681732057
- Cited by
- 3,611
- References
- 1
- FWCI
- 242.34
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.