Assessing representativeness of a rural Australian clinical database using a spatial modelling approach

R. Whitsed, A. Horta, H. F. Jelinek

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

Abstract

It is generally recognized that people in rural Australia and world-wide do worse in terms of health outcomes compared to the urban population. Epidemiological studies rely on large datasets obtained through national surveys but efforts to survey rural populations usually result in small datasets. Hence small datasets are often disregarded even if they are the only source of health data available to study health outcomes at the local level. The main criticism is usually lack of representativeness of the general population. In this study, a spatial modelling approach was developed to assess the representativeness of a rural Australian clinical database. We compared two methods commonly used in health geography, namely Generalized Additive Models and the spatial scan statistic. Both methods were shown to have strengths that can be exploited to detect underrepresentation of a small health dataset. We concluded that our participant data are largely representative of the underlying population and highlight focus areas for further participant recruitment, allowing disease cluster mapping to with confidence, even on the small dataset.

Original languageEnglish
Title of host publicationEMBEC and NBC 2017
Subtitle of host publicationJoint Conference of the European Medical and Biological Engineering Conference EMBEC 2017 and the Nordic-Baltic Conference on Biomedical Engineering and Medical Physics, NBC 2017
EditorsHannu Eskola, Outi Väisänen, Jari Viik, Jari Hyttinen
Place of PublicationSingapore
PublisherSpringer, Springer Nature
Pages932-935
Number of pages4
Volume65
ISBN (Electronic)9789811051227
ISBN (Print)9789811051210
DOIs
Publication statusPublished - 2018
EventJoint Conference of the European Medical and Biological Engineering Conference, EMBEC 2017 and Nordic-Baltic Conference on Biomedical Engineering and Medical Physics, NBC 2107 - Tampere, Finland
Duration: 11 Jun 201715 Jun 2017

Conference

ConferenceJoint Conference of the European Medical and Biological Engineering Conference, EMBEC 2017 and Nordic-Baltic Conference on Biomedical Engineering and Medical Physics, NBC 2107
CountryFinland
CityTampere
Period11/06/1715/06/17

    Fingerprint

Keywords

  • GAM
  • SaTScan
  • Small dataset
  • Spatial modelling
  • Spatial representativeness

Cite this

Whitsed, R., Horta, A., & Jelinek, H. F. (2018). Assessing representativeness of a rural Australian clinical database using a spatial modelling approach. In H. Eskola, O. Väisänen, J. Viik, & J. Hyttinen (Eds.), EMBEC and NBC 2017: Joint Conference of the European Medical and Biological Engineering Conference EMBEC 2017 and the Nordic-Baltic Conference on Biomedical Engineering and Medical Physics, NBC 2017 (Vol. 65, pp. 932-935). Singapore: Springer, Springer Nature. https://doi.org/10.1007/978-981-10-5122-7_233