Literature DB >> 24021921

Spatial accessibility in suboptimally configured health care systems: a modified two-step floating catchment area (M2SFCA) metric.

Paul L Delamater1.   

Abstract

The floating catchment area (FCA) family of metrics employ principles from gravity-based models to incorporate supply, demand, and distance in their characterization of the spatial accessibility of health care resources. Unlike traditional gravity models, the FCA metrics provide an output in highly interpretable container-like units (e.g., physicians per person). This work explores two significant issues related to FCA metrics. First, the Three Step Floating Catchment Area is critically examined. Next, the research shows that all FCA metrics contain an underlying assumption that supply locations are optimally configured to meet the needs of the population within the system. Because truly optimal configurations are highly unlikely in real-world health care systems, a modified two-step floating catchment area (M2SFCA) metric is offered to address this issue. The M2SFCA is built upon previous FCA metrics, but allows for spatial accessibility to be discounted as a result of the suboptimal configuration of health care facilities within the system. The utility of the new metric is demonstrated through simulated data examples and a case study exploring acute care hospitals in Michigan.
© 2013 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  3SFCA; E2SFCA; Gravity models; Health care access; Spatial accessibility

Mesh:

Year:  2013        PMID: 24021921     DOI: 10.1016/j.healthplace.2013.07.012

Source DB:  PubMed          Journal:  Health Place        ISSN: 1353-8292            Impact factor:   4.078


  45 in total

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Authors:  Jenna A Khan-Gates; Jennifer L Ersek; Jan M Eberth; Swann A Adams; Sandi L Pruitt
Journal:  Womens Health Issues       Date:  2015-07-26

2.  Spatial Accessibility of Primary Care in England: A Cross-Sectional Study Using a Floating Catchment Area Method.

Authors:  Jan Bauer; Ruth Müller; Dörthe Brüggmann; David A Groneberg
Journal:  Health Serv Res       Date:  2017-07-07       Impact factor: 3.402

3.  Using spatially adaptive floating catchments to measure the geographic availability of a health care service: Pulmonary rehabilitation in the southeastern United States.

Authors:  Kevin A Matthews; Anne H Gaglioti; James B Holt; Anne G Wheaton; Janet B Croft
Journal:  Health Place       Date:  2019-02-16       Impact factor: 4.078

4.  Measuring spatial accessibility to refuge green space after earthquakes: A case study of Nanjing, China.

Authors:  Wei Liu; Hao Xu; Jing Wu; Wei Li; Huimin Hu
Journal:  PLoS One       Date:  2022-06-28       Impact factor: 3.752

5.  Examining the impact of COVID-19 vaccination rates on differential access to critical care.

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Journal:  Appl Geogr       Date:  2022-06-21

6.  An optimization framework for measuring spatial access over healthcare networks.

Authors:  Zihao Li; Nicoleta Serban; Julie L Swann
Journal:  BMC Health Serv Res       Date:  2015-07-17       Impact factor: 2.655

7.  Assessing consistency among indices to measure socioeconomic barriers to health care access.

Authors:  Jamison Conley; Insu Hong; Amber Williams; Rachael Taylor; Thomson Gross; Bradley Wilson
Journal:  Health Serv Outcomes Res Methodol       Date:  2021-07-17

8.  Identifying areas of potential critical healthcare shortages: A case study of spatial accessibility to ICU beds during the COVID-19 pandemic in Florida.

Authors:  Kyusik Kim; Mahyar Ghorbanzadeh; Mark W Horner; Eren Erman Ozguven
Journal:  Transp Policy (Oxf)       Date:  2021-07-08

9.  A model for measuring healthcare accessibility using the behavior of demand: a conditional logit model-based floating catchment area method.

Authors:  Hoon Jang
Journal:  BMC Health Serv Res       Date:  2021-07-06       Impact factor: 2.655

10.  Population-based geographic access to endocrinologists in the United States, 2012.

Authors:  Hua Lu; James B Holt; Yiling J Cheng; Xingyou Zhang; Stephen Onufrak; Janet B Croft
Journal:  BMC Health Serv Res       Date:  2015-12-07       Impact factor: 2.655

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