Literature DB >> 1948466

The use of a geographical information system for hospital catchment area research in Natal/KwaZulu.

M Zwarenstein1, D Krige, B Wolff.   

Abstract

We use a computerised geographical information system (GIS) to study the population per bed ratios and the implications of open access to the private and the formerly white hospital services in Natal. The advantages of the GIS method over the more usual administrative boundary-based beds per capita ratios are discussed. While the latter method would suggest that hospital bed resources in the province are racially unequal but nevertheless adequate (264 people per general and referral bed for the whole population, 195 for whites and 275 for blacks) the GIS analysis reveals widespread inadequacy, worse for blacks. Of the estimated hospital catchment areas half have more than 275 black people per general and referral bed, and half of these have more than 550 black people per bed. One-third of the catchment areas estimated for whites have ratios above 275 people per bed, and one half of these are also above 550 people per bed. The GIS analysis shows that open access to beds previously reserved for whites will make no difference to rural blacks, and almost none to urban blacks, because there were relatively few such beds, and they were concentrated in the cities. For the same reasons, the opening of private hospital beds to all patients would not significantly alleviate the apparent bed shortages in priority areas. By contrast, people in these priority areas would gain significantly improved access to general hospital care if selected chronic disease and industrial hospitals were upgraded to provide general hospital services.(ABSTRACT TRUNCATED AT 250 WORDS)

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Year:  1991        PMID: 1948466

Source DB:  PubMed          Journal:  S Afr Med J


  6 in total

1.  Normative models and healthcare planning: network-based simulations within a geographic information system environment.

Authors:  S J Walsh; P H Page; W M Gesler
Journal:  Health Serv Res       Date:  1997-06       Impact factor: 3.402

2.  Creating spatially defined databases for equitable health service planning in low-income countries: the example of Kenya.

Authors:  A M Noor; P W Gikandi; S I Hay; R O Muga; R W Snow
Journal:  Acta Trop       Date:  2004-08       Impact factor: 3.112

3.  Empirical modelling of government health service use by children with fevers in Kenya.

Authors:  Peter W Gething; Abdisalan M Noor; Dejan Zurovac; Peter M Atkinson; Simon I Hay; Mark S Nixon; Robert W Snow
Journal:  Acta Trop       Date:  2004-08       Impact factor: 3.112

4.  Hospital service areas -- a new tool for health care planning in Switzerland.

Authors:  Gunnar Klauss; Lukas Staub; Marcel Widmer; André Busato
Journal:  BMC Health Serv Res       Date:  2005-05-09       Impact factor: 2.655

5.  Modeling population access to New Zealand public hospitals.

Authors:  Lars Brabyn; Chris Skelly
Journal:  Int J Health Geogr       Date:  2002-11-12       Impact factor: 3.918

6.  The application of geographical information systems to important public health problems in Africa.

Authors:  Frank C Tanser; David Le Sueur
Journal:  Int J Health Geogr       Date:  2002-12-09       Impact factor: 3.918

  6 in total

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