2.5 Population denominators, service provision and usage
This learning object considers the types of data which are required for GIS to support health care management and planning. This object demonstrates the range of data which may be encountered and some of the general principles which will apply. The data required for health care management GIS will often be a mixture of health-specific and external data sources.
We can divide the data required for management of the health care system into three broad categories: firstly, those that relate to the population being served. This information includes not only population numbers but details of demographic, social and cultural characteristics and geographical location. An important aspect of this background information is any knowledge about disease prevalence in the population, although it is important to understand the distinction between prevalence and utilization (discussed below). This information may be used to develop models of the need for health care at many levels of sophsitication, from the simplest location-allocation tasks which aim to provide one health centre or rural health worker for a specified size of population to the most sophisticated hospital bed provision planning, which takes account of the size and location of predicted population demand for services in each medical speciality, utilizing prevalence rates, current population characteristics and predicted changes.
Secondly, management requires information about the organization of the health care system itself. This includes the locations and characteristics of facilities such as health centres and hospitals, but also less directly measurable spatial characteristics such as their effective catchment areas, the transportation options for accessing care and the cost, attractiveness and acceptability of the services themselves. There will also be aspects of the health care system itself, such as the way in which referrals from primary to secondary care are handled, which will affect patients’ interaction with the system.
Thirdly, it is necessary to understand patterns of usage or utilization. This refers to the ways in which different population groups actually make use of the services provided. It is well-established that there are many respects in which usage is not a simple measure of need, in terms of ill health. For example, more use will generally be made of health care facilities by those who can afford them, who are closer to them or who in other ways have the easiest access to them.
Statistics Commission (2004) takes a very broad view of the sources and uses of statistics relating to the UK health care system. Although the specifics of the datasets are unique to the UK, the report provides an extremely useful overview of the reasons why it is so important to have good data about all aspects of a health care system.
Activity
For your own national health care system, identify the principal data sources which exist with regard to population denominators, health service provision and usage of the health care system. You are likely to find that some general-purpose sources are relevant to more than one aspect. According to the national context in which you are working, there will also be very wide variations in data availability. Produce a table with columns ‘population’, ‘provision’ and ‘usage’ and add rows for as many data sources as you are able, in each cell noting the relevant information. Keep a record of your findings in your reflective learning diary: you may find that other elements of this course will allow you to add further insights to this table, helping you to build up a data source inventory for your own healthcare system.
References (Essential reading for this learning object indicated by *)
* Statistics Commission (2004) Enhancing the value of health statistics: user perspectives Report No. 21 Statistics Commission, London: https://www.statisticsauthority.gov.uk/publication/report-21-enhancing-the-value-of-health-statistics-user-perspectives/ (It is not necessary to read this lengthy report in its full! The most useful sections are those which deal with the need for, and uses of, health statistics. The later sections provide many detailed examples.)