| Literature DB >> 25174719 |
Abstract
The purpose of this paper is to review the current research on catchment areas of private general practices in different developed countries because healthcare reform, including primary health care, has featured prominently as an important political issue in a number of developed countries. The debates around health reform have had a significant health geographic focus. Conceptually, GP catchments describe the distribution, composition and profile of patients who access a general practitioner or a general practice (i.e. a site or facility comprising one or more general practitioners). Therefore, GP catchments provide important information into the geographic variation of access rates, utilisation of services and health outcomes by all of the population or different population groups in a defined area or aggregated area.This review highlights a wide range of diversity in the literature as to how GP catchments can be described, the indicators and measures used to frame the scale of catchments. Patient access to general practice health care services should be considered from a range of locational concepts, and not necessarily constrained by their place of residence. An analysis of catchment patterns of general practitioners should be considered as dynamic and multi-perspective. Geographic information systems provide opportunities to contribute valuable methodologies to study these relationships. However, researchers acknowledge that a conceptual framework for the analysis of GP catchments requires access to real world data. Recent studies have shown promising developments in the use of real world data, especially from studies in the UK. Understanding the catchment profiles of individual GP surgeries is important if governments are serious about patient choice being a key part of proposed primary health reforms. Future health planning should incorporate models of GP catchments as planning tools, at the micro level as well as the macro level, to assist policies on the allocation of resources so that opportunities for good health outcomes for all groups within society, especially those who have been systematically denied equitable access, are maximised.Entities:
Mesh:
Year: 2014 PMID: 25174719 PMCID: PMC4150420 DOI: 10.1186/1476-072X-13-32
Source DB: PubMed Journal: Int J Health Geogr ISSN: 1476-072X Impact factor: 3.918
Figure 1Search process and results.
Summary of results: the analysis of the studies in the review in relation to GP catchments
| What is the major theme in the article as outlined in the title?: | Literature review | 4 | 102. | 100% |
| Measurement as the key theme in the research study. | 16. | | | |
| Spatial access as the key theme | 30. | | | |
| The role of markets, and competition between catchments of general practice, in primary health care. | 23 | | | |
| The Neighbourhood as the focus of the research inquiry. | 10. | | | |
| The role of patients choice as the focus of the study. | 9 | | | |
| Studies in relation to access issues in primary health care. | 6. | | | |
| Other issues of methods and scale. | 4. | | | |
| What Spatial scales are applied in the article? | Neighbourhood. | 9 | 75 | 73.5% |
| Region/metropolitan | 36 | | | |
| Rural | 10 | | | |
| State/National | 10 | | | |
| Multi-scale | 10 | | | |
| What Indicators and measures & data sources are used ? | Socio-economic/demographic/Ethnicity/Census data./population cohorts at regional, state, national (inc postcode data) | 31 | 75 | 73.5% |
| | Patient registrations./lists/retail clinics | 9 | | |
| | Multiple/various (Including Medicare data, other health care data. | 20 | | |
| Observational studies/cohorts/surveys | 5 | | | |
| Other large data sets – GP workforce data sets | 10 | | | |
| What are the GIS methods, if any, applied in the paper | 2 SFCA method | 26 | 43 | 42.1% |
| Other methods of GIS (including those referenced in Table | 19 | | | |
| What specific Population cohorts, if any, were used in the study? | Elderly | 2 | 32 | 31.4% |
| Ethnic groups | 2 | | | |
| Rural | 7 | | | |
| Immigrants. | 4 | | | |
| Urban/Neighbourhoods | 14 | | | |
| People with disabilities | 1 | | | |
| Out of hours groups | 2 | | | |
| What Access issues/Primary health care were referred to in the paper? (including non-spatial factors) | Reform/politics | 14 | 77 | 75.5% |
| Workforce | 10 | | | |
| Spatial equity/Accessibility/Access to care | 20 | | | |
| Patient choice/consumers/registration | 7 | | | |
| Health inequalities | 12 | | | |
| Socio-organisational/Practice characteristics | 7 | | | |
| Access to retail clinics | 5 | | | |
| What was the country of origin of study | USA | 35 | 102. | 100% |
| Canada | 6 | | | |
| UK | 17 | | | |
| France | 5 | | | |
| Switzerland | 3 | | | |
| Germany | 2 | | | |
| Singapore | 3 | | | |
| Australia | 11 | | | |
| New Zealand | 4 | | | |
| Europe (several countries in same paper) | 8 | | | |
| Not specified | 8 |
(Analysis by: title, abstract and key words).
Examples of catchment models of general practice in different countries
| Two Step Floating Catchment Area method. (and enhanced 2SFCA method) (2000, 2003, 2009) USA. | A special case of the gravity model, using a special form of the physician to population ratio. The enhanced 2SFCA method addresses the problem of uniform access within the catchment by applying weights to different travel time zones to account for distance decay. | It measures spatial accessibility to primary care physicians. |
| It reveals spatial accessibility patterns more consistent with intuition, and delineates explicit health professional shortage areas. | ||
| Synthetic Data Matrix (SDM, 2005) Northern Ireland data. | Compares patient to GP flow (affiliation) information aggregated at the Census Enumeration District level across a number of catchment areas using different methodologies. The SDM is then analysed using a modified version of the European Regionalisation Algorithm to create an optimal set of non overlapping regions according to predefined population size and self-containment criteria. | General practices within a defined health region. |
| Practice Health Atlas method. (PHA, 2006, 2010) Australia. | Provides catchment maps of patients of individual general practices, based on post code place of residence. Maps patient catchments in 7 chronic disease categories. Details level of utilisation of health services and documents level of health outcomes for specific disease groups. Describes the general practice market share of each individual postcode within a region. | General practices within a defined health region. The PHA has the capability to measure individual catchments or aggregated catchments at city or regional level. |
| Local Potential Accessibility (LPA) measure. (2012) France. | The LPA indicator measures the supply and demand for general practice services by taking into account practitioners’ volume of activity on the one hand, and service use rates differentiated by population age structure on the other. | The LPA indicator to private GPs indicator reveals a greater degree of variability than the traditionally used accessibility indicators (travel time, level of GP density in living areas …) |
| Lewis & Longley Model (2012) England. | An analysis of a data set, derived from the National Health Service Central Register. The Model compares the observed patient registrations at GP surgeries with an optimum geographic pattern. | From the London borough of Southwark. The has a focus on spatial equity of access. |
| The Model also uses a new ethnicity classification tool to assess the ethnic dimensions to deviations from the normative arrangement. | The Model maps the role of the GP surgery as a place that provides local services in away that tries to serve the population as a whole (spatial equity). |