Methods and tools for geographical mapping and analysis in primary health care.
OBJECTIVE
The purpose of this paper is to review methods and tools for mapping, visualising and exploring geographic information to aid in primary health care (PHC) research and development.


BACKGROUND
Mapping and spatial analysis of indicators of locality health profiles and healthcare needs assessment are well-established facets of health services research and development. However, while there are a range of different methods and tools used for these purposes, non-specialists responsible for managing the use of such information systems may find knowing where to start and what can be done a relatively steep learning curve. In this review, health and sociodemographic datasets are used to illustrate some key methods, tools and organisational issues, and builds upon two recent reviews in this journal, respectively, focusing on geographic data sources and geographic concepts. Those familiar with mapping and spatial analysis should find this a useful review of current matters.


METHODS
A thematic review is presented with illustrative case studies relevant to PHC. It begins with a section on visualising and interpreting geographic information. This is followed by a section critiquing analytical methods. Consideration is given to software and deployment issues in a third section. Content is based on domain knowledge of the authors as a team of geographic information scientists and a public health practitioner working in tandem, with its scope restricted to routine applications of mapping and analysis. Advanced techniques such as spatio-temporal modelling are not considered, neither are methodological technicalities, although guidance on further reading is provided.


CONCLUSIONS
Geographical perspectives are now playing a significant role in PHC delivery, and for those engaged in informatics and/or managing population-level care, understanding key geographic information systems methods and terminologies are important as is gaining greater familiarity with institutional aspects of implementation.
Department of Primary Care and Public Health, Imperial College London, London, UK. e.samarasundera@imperial.ac.uk
Edgar
E
Samarasundera
Thomas
T
Walsh
Tao
T
Cheng
Ariane
A
Koenig
Kavita
K
Jattansingh
Alex
A
Dawe
Michael
M
Soljak
D016000:Cluster Analysis; D015340:Epidemiologic Research Design; D040362:Geographic Information Systems; D006302:Health Services Research / Q000379:methods*; D006801:Humans; D008377:Maps as Topic; D020380:Needs Assessment; D011320:Primary Health Care / Q000379:methods*