A Rational Agent Model for the Spatial Accessibility of Primary Health Care.
Accurate modeling of the spatial accessibility of health care is critical to measuring and responding to physician shortages. We develop a new model in which patients choose the primary care location that minimizes their combined accessibility and availability costs. This model offers several advant...
| Publicado en: | Annals of the American Association of Geographers Vol. 110; no. 1; pp. 205 - 223 |
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| Autores principales: | , |
| Formato: | Artículo |
| Publicado: |
Taylor & Francis Ltd
Jan2020
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=140069450&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 140069450 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 24694452 JRMH jtl: Annals of the American Association of Geographers issn: 24694452 maglogo: N pubinfo: dt: Jan2020 vid: 110 iid: 1 pid: 377 pub: Taylor & Francis Ltd artinfo: ui: 140069450 10.1080/24694452.2019.1629870 ppf: 205 ppct: 18 formats: tig: atl: A Rational Agent Model for the Spatial Accessibility of Primary Health Care. aug: au: Saxon, James Snow, Daniel affil: Center for Spatial Data Science and the Harris School of Public Policy, University of Chicago su: Primary health care Medical model Medical care costs Point-of-care testing Health care industry statistics sug: subj: Primary health care Medical model Medical care costs Point-of-care testing Health care industry statistics ab: Accurate modeling of the spatial accessibility of health care is critical to measuring and responding to physician shortages. We develop a new model in which patients choose the primary care location that minimizes their combined accessibility and availability costs. This model offers several advantages with respect to existing access frameworks. It incorporates feedback between patient decisions and endogenizes the trade-off between travel times and congestion at the point of care. It allows for patients to seek care from their home or workplace and can account for multiple travel modes. Our open-sourced implementation scales efficiently to large areas and fine spatial granularity. Using distributed computing, we calculate travel times for this model at the census tract level for the entire United States, and we also make this resource available. We compare the results to those from existing primary care access models. Key Words: floating catchment areas, primary health care, rational agent models, spatial accessibility. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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