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  1. May 9, 2005 · HSAs are thus not stable geographic constructs in time as hospitals close, merge, or open. Infrastructural changes, political regulations, and altered insurance policies may also necessitate patient origin studies with more recent discharge data.

    • Gunnar Klauss, Lukas Staub, Marcel Widmer, André Busato
    • 2005
  2. Feb 1, 2005 · HSAs had diverse demographic and geographic characteristics. Urban HSAs had above average population sizes, while mountainous HSAs were scarcely populated but larger in size.

  3. May 2, 2024 · Additional modifications ensure that each HSA consists of contiguous ZIP codes. 7 In total, there are 3436 HSAs in the United States, of which 2830 contain a single hospital. 7 From a population perspective, approximately 39% of the population resides in an HSA with just one hospital, while a nearly equal percentage (37%) resides in an HSA with four or more facilities.

  4. The mean LI value of the 18 HSAs with the ScLeiden method is higher than 22 HSAs with the ScLouvain method (0.909 vs. 0.869) as fewer and larger HSAs are more likely to contain more intra-HSA flows. The range of LI with the ScLeiden method is significantly narrower than that with the ScLouvain method (0.727–0.985 vs. 0.286–1), so is the difference in the standard deviations (0.065 vs. 0.154).

    • Changzhen Wang, Fahui Wang
    • 2022
    • 10.1080/19475683.2022.2026470
  5. Jun 1, 2015 · Hospital Service Area (HSA) is a promising analysis unit for healthcare studies. •. The Dartmouth HSAs are inadequate in representing the overall population. •. This research uses the 2011 HCUP data to update the HSA delineation in Florida. •. The Huff model implemented in GIS is used to generate new HSAs. •.

    • Peng Jia, Imam M. Xierali, Imam M. Xierali, Fahui Wang, Fahui Wang
    • 2015
  6. The HSA and HRR geographic units are each assigned to a single town, but they can extend across state borders. This analysis was limited to HSAs and HRRs assigned to towns in the states of Washington, Arizona, and Florida. We excluded HSAs and HRRs that were assigned to towns in neighboring states but also included portions of the 3 study states.

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  8. • Geographically stable building blocks should be used to create all lower level geographic areas in AHS. This will allow for flexibility required by different purposes. • Ideally, all lower geographic areas should reflect a particular purpose (e.g., planning, surveillance, deep dives/drill-downs).

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