淡江大學機構典藏:Item 987654321/109457
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 62805/95882 (66%)
Visitors : 3927082      Online Users : 774
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/109457


    Title: Measuring inequality in physician distributions using spatially adjusted Gini coefficients
    Authors: YI-HSIN ELSA HSU;WENDER LIN;JOSEPH J. TIEN;LARRY Y. TZENG
    Keywords: Gini coefficient;geographic correlation;physician inequality;spatial statistics
    Date: 2016-12
    Issue Date: 2017-02-21 02:10:16 (UTC+8)
    Abstract: OBJECTIVE:
    To measure inequality in physician distributions using Gini coefficient and spatially adjusted Gini coefficients.
    DESIGN:
    Measurements were based on the distribution of physician data from the Taiwan National Health Insurance Research Database (NHIRD) and population data from the Ministry of the Interior in Taiwan.
    SETTINGS:
    The distribution of population and physicians in Taiwan from 2001 to 2010.
    PARTICIPANTS:
    This study considered 35 000 physicians who are registered in Taiwan.
    MAIN OUTCOME MEASURES:
    To calculate the Gini coefficient and spatially adjusted Gini coefficients in Taiwan from 2001 to 2010.
    RESULTS:
    The Gini coefficient for each year, from 2001 to 2010, ranged from 0.5128 to 0.4692, while the spatially adjusted Gini coefficients based on travel time and travel distance ranged, respectively, from 0.4324 to 0.4066 and from 0.4408 to 0.4178. We found that, in each year, irrespective of the type of spatial adjustment, the spatially adjusted Gini coefficient was smaller than the Gini coefficient itself. Our empirical findings support that the Gini coefficient may overestimate the maldistribution of physicians.
    CONCLUSIONS:
    Our simulations demonstrate that increasing the number of physicians in medium-sized cities (such as capitals of counties or provinces), and/or improving the transportation time between medium-sized cities and rural areas, could be feasible solutions to mitigate the problem of geographical maldistribution of physicians.
    Relation: International Journal for Quality in Health Care 28(6), p.657-664
    DOI: 10.1093/intqhc/mzw110
    Appears in Collections:[Graduate Institute & Department of Insurance Insurance] Journal Article

    Files in This Item:

    File Description SizeFormat
    index.html0KbHTML192View/Open
    Measuring inequality in physician distributions using spatially adjusted Gini coefficients.pdf313KbAdobe PDF1View/Open

    All items in 機構典藏 are protected by copyright, with all rights reserved.


    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - Feedback