The DOI matches its Crossref record.
Primary Care Service Areas: A New Tool for the Evaluation of Primary Care Services
Open accessAbstract
Objective. To develop and characterize utilization‐based service areas for the United States which reflect the travel of Medicare beneficiaries to primary care clinicians. Data Source/Study Setting. The 1996–1997 Part B and 1996 Outpatient File primary care claims for fee‐for‐service Medicare beneficiaries aged 65 and older. The 1995 Medicaid claims from six states (1995) and commercial claims from Blue Cross Blue Shield of Michigan (1996). Study Design. A patient origin study was conducted to assign 1999 U.S. zip codes to Primary Care Service Areas on the basis of the plurality of beneficiaries' preference for primary care clinicians. Adjustments were made to establish geographic contiguity and minimum population and service localization. Generality of areas to younger populations was tested with Medicaid and commercial claims. Data Collection/Extraction Methods. Part B primary care claims were selected on the basis of provider specialty, place of service, and CPT code. Selection of Outpatient File claims used provider number, type of facility/service, and revenue center codes. Principal Findings. The study delineated 6,102 Primary Care Service Areas with a median population of 17,276 (range 1,005–1,253,240). Overall, 63 percent of the Medicare beneficiaries sought the plurality of their primary care from within area clinicians. Service localization compared to Medicaid (six states) and commercial primary care utilization (Michigan) was comparable but not identical. Conclusions. Primary Care Service Areas are a new tool for the measurement of primary care resources, utilization, and associated outcomes. Policymakers at all jurisdictional levels as well as researchers will have a standardized system of geographical units through which to assess access to, supply, use, organization, and financing of primary care services.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Rural Definitions for Health Policy and Research
Hart, L. G., Larson, E. H., & Lishner, D. M. (2005) · American Journal of Public Health · doi:10.2105/ajph.2004.042432 · Cited by 964
Butler, D. C., Petterson, S., Phillips, R. L., & Bazemore, A. W. (2013) · Health Services Research · doi:10.1111/j.1475-6773.2012.01449.x · Cited by 689
Neighbourhoods and potential access to health care: The role of spatial and aspatial factors
Bissonnette, L., Wilson, K., Bell, S., & Shah, T. I. (2012) · Health & Place · doi:10.1016/j.healthplace.2012.03.007 · Cited by 170
Metadata
- Authors
- Goodman, D. C., Mick, S. S., Bott, D., Stukel, T., Chang, C., Marth, N., Poage, J., & Carretta, H. J.
- Venue
- Health Services Research
- Publisher
- Wiley
- Published
- 2003-02
- Volume
- 38
- Issue
- 1p1
- Pages
- 287-309
- ISSN
- 0017-9124 (ISSN-L)
- 1475-6773
- OpenAlex
- W2050560348
- Cited by
- 191
- References
- 0
- FWCI
- 10.87
- Type
- journal article
- Language
- en
- Open access
- bronze
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 ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Primary Care Service Areas: A New Tool for the Evaluation of Primary Care Services. https://app.cochat.ai/papers/10.1111/1475-6773.00116
- The paper
- Goodman, D. C., Mick, S. S., Bott, D., Stukel, T., Chang, C., Marth, N., Poage, J., & Carretta, H. J. (2003). Primary Care Service Areas: A New Tool for the Evaluation of Primary Care Services. Health Services Research. https://doi.org/10.1111/1475-6773.00116
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.