27
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Defining rational hospital catchments for non-urban areas based on travel-time

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          Cost containment typically involves rationalizing healthcare service delivery through centralization of services to achieve economies of scale. Hospitals are frequently the chosen site of cost containment and rationalization especially in rural areas. Socio-demographic and geographic characteristics make hospital service allocation more difficult in rural and remote regions. This research presents a methodology to model rational catchments or service areas around rural hospitals – based on travel time.

          Results

          This research employs a vector-based GIS network analysis to model catchments that better represent access to hospital-based healthcare services in British Columbia's rural and remote areas. The tool permits modelling of alternate scenarios in which access to different baskets of services (e.g. rural maternity care or ICU) are assessed. In addition, estimates of the percentage of population that is served – or not served -within specified travel times are calculated.

          Conclusion

          The modelling tool described is useful for defining true geographical catchments around rural hospitals as well as modelling the percentage of the population served within certain time guidelines (e.g. one hour) for specific health services. It is potentially valuable to policy makers and health services allocation specialists.

          Related collections

          Most cited references38

          • Record: found
          • Abstract: found
          • Article: not found

          GIS and health care.

          GIS and related spatial analysis methods provide a set of tools for describing and understanding the changing spatial organization of health care, for examining its relationship to health outcomes and access, and for exploring how the delivery of health care can be improved. This review discusses recent literature on GIS and health care. It considers the use of GIS in analyzing health care need, access, and utilization; in planning and evaluating service locations; and in spatial decision support for health care delivery. The adoption of GIS by health care researchers and policy-makers will depend on access to integrated spatial data on health services utilization and outcomes and data that cut across human service systems. We also need to understand better the spatial behaviors of health care providers and consumers in the rapidly changing health care landscape and how geographic information affects these dynamic relationships.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            An integrated approach to measuring potential spatial access to health care services.

            In recent years there have been several attempts to develop quantitative measures of potential spatial access to health care services which, despite their limitations, offer many positive ideas that can perhaps be integrated into a logically consistent and generally acceptable index. It is in this vein that the current paper presents an integrated approach, drawing partially from past contributions, to measuring potential spatial access to health care services. The final access index is derived as the culmination of a series of individual measures, starting with an initial gravity formulation and progressing through successive stages as new elements, consistent with the definition and conceptualization of potential spatial access, are introduced. Application of the proposed index to the ambulatory medical care system of the Akron, Ohio SMSA, demonstrates the validity of the measure, and its suitability as a potential health care planning tool.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Increasing the sophistication of access measurement in a rural healthcare study.

              This paper considers the problem of deriving realistic access measures between population demand and health service locations, in the context of a rural region of England. The paper reviews approaches used in earlier work by the authors and others, and considers new public transport information systems that are now becoming available. An application is presented which incorporates the modelling of both private and public transportation travel times for access to district general hospitals in Cornwall. This information has been assembled from published timetables in order to evaluate the use of more sophisticated access measures that might be used when such data becomes more generally available. The work is set within the context of an ongoing substantive research programme concerned with health outcomes in the rural South West of England.
                Bookmark

                Author and article information

                Journal
                Int J Health Geogr
                International Journal of Health Geographics
                BioMed Central (London )
                1476-072X
                2006
                3 October 2006
                : 5
                : 43
                Affiliations
                [1 ]Department of Geography, Simon Fraser University, Burnaby, Canada
                Article
                1476-072X-5-43
                10.1186/1476-072X-5-43
                1617091
                17018146
                4ee39987-3c32-43e4-a97a-9bfa816d019c
                Copyright © 2006 Schuurman et al; licensee BioMed Central Ltd.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 3 August 2006
                : 3 October 2006
                Categories
                Research

                Public health
                Public health

                Comments

                Comment on this article