The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Spatial accessibility of primary care: concepts, methods and challenges
Open accessAbstract
Primary care is recognized as the most important form of healthcare for maintaining population health because it is relatively inexpensive, can be more easily delivered than specialty and inpatient care, and if properly distributed it is most effective in preventing disease progression on a large scale. Recent advances in the field of health geography have greatly improved our understanding of the role played by geographic distribution of health services in population health maintenance. However, most of this knowledge has accrued for hospital and specialty services and services in rural areas. Much less is known about the effect of distance to and supply of primary care on primary care utilization, particularly in the U.S.For several reasons the shortage of information is particularly acute for urban areas, where the majority of people live. First, explicit definitions and conceptualizations of healthcare access have not been widely used to guide research. An additional barrier to progress has been an overwhelming concern about affordability of care, which has garnered the majority of attention and research resources. Also, the most popular measures of spatial accessibility to care - travel impedance to nearest provider and supply level within bordered areas - lose validity in congested urban areas. Better measures are needed. Fortunately, some advances are occurring on the methodological front. These can improve our knowledge of all types of healthcare geography in all settings, including primary care in urban areas.This paper explains basic concepts and measurements of access, provides some historical background, outlines the major questions concerning geographic accessibility of primary care, describes recent developments in GIS and spatial analysis, and presents examples of promising work.
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
Cites
Unequal treatment: confronting racial and ethnic disparities in health care
(2003) · Choice Reviews Online · doi:10.5860/choice.40-5843 · Cited by 7,043
Cited by
Moore, L. V., Diez Roux, A. V., Nettleton, J. A., & Jacobs, D. R. (2008) · American Journal of Epidemiology · doi:10.1093/aje/kwm394 · Cited by 563
Ray, N., & Ebener, S. (2008) · International Journal of Health Geographics · doi:10.1186/1476-072x-7-63 · Cited by 182
Helping policy‐makers address rural health access problems
Russell, D. J., Humphreys, J. S., Ward, B., Chisholm, M., Buykx, P., McGrail, M., & Wakerman, J. (2013) · Australian Journal of Rural Health · doi:10.1111/ajr.12023 · Cited by 165
Population-based geographic access to endocrinologists in the United States, 2012
Lu, H., Holt, J. B., Cheng, Y. J., Zhang, X., Onufrak, S., & Croft, J. B. (2015) · BMC Health Services Research · doi:10.1186/s12913-015-1185-5 · Cited by 121
Nesbitt, R. C., Gabrysch, S., Laub, A., Soremekun, S., Manu, A., Kirkwood, B. R., Amenga-Etego, S., Wiru, K., Höfle, B., & Grundy, C. (2014) · International Journal of Health Geographics · doi:10.1186/1476-072x-13-25 · Cited by 115
Metadata
- Authors
- Guagliardo, M. F.
- Venue
- International Journal of Health Geographics
- Published
- 2004-02-26
- Volume
- 3
- Issue
- 1
- Pages
- 3-3
- ISSN
- 1476-072X (ISSN-L)
- OpenAlex
- W2115569288
- Cited by
- 1,533
- References
- 1
- FWCI
- 65.89
- Type
- journal article
- Language
- en
- Open access
- gold
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: Spatial accessibility of primary care: concepts, methods and challenges. https://app.cochat.ai/papers/10.1186/1476-072x-3-3
- The paper
- Guagliardo, M. F. (2004). Spatial accessibility of primary care: concepts, methods and challenges. International Journal of Health Geographics. https://doi.org/10.1186/1476-072x-3-3
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.