A multi-dimensional approach to measure the use of Social Media tools in accessing health information: A case study of Griffith University students, Queensland, Australia

Ori Gudes, Wayne Usher

Research output: A Conference proceeding or a Chapter in BookConference contribution

Abstract

This research explores perceived user satisfaction and the impact of students using Mobile Wireless Communication Technology (MWCT) and Social Media tools (SM) for accessing health information. It was specifically concerned with whether there was a spatial pattern based on students' location or other social characteristics. An online survey was designed and utilised to collect quantitative, qualitative and spatial data. This study is unique, as it provides multi-dimensional empirical evidence (i.e., quantitative, qualitative, and spatial evidence) that underlies and complements each other. Our findings indicate that there is some evidence of a pattern as to who uses these tools more extensively for accessing health information. For example, families with kids, people who live with partners etc. Proximity to campus was not found to be correlated, and no spatial structure was found in relation to the question: Who used or did not use MWCT to access health information? Therefore, this paper argues for the inclusion and expansion of health information utilising MWCT and SM tools amongst students, which, in turn, complements traditional methods to accessing health information. The study uses a multi-dimensional approach in obtaining empirical evidence. Utilising quantitative, qualitative, and spatial analysis, our analysis instruments are interweaved and complement each other. This also provides unique robustness to this study because of the variety of evidence provided. Potentially, the findings of this paper can be used by other organisations to promote the development of new approaches and the development of online tools to encourage the access of health information by university students. This, in turn, may play a positive role in their health status.

Original languageEnglish
Title of host publicationProceedings of the 2nd ACM SIGSPATIAL International Workshop on the Use of GIS in Public Health, In Conjunction with the 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Subtitle of host publicationHealthGIS 2013
EditorsDaniel W. Goldberg
Place of PublicationUnited States
PublisherAssociation for Computing Machinery (ACM)
Pages31-39
Number of pages9
ISBN (Print)9781450325295
DOIs
Publication statusPublished - 1 Jan 2013
Externally publishedYes
Event2nd ACM SIGSPATIAL International Workshop on the Use of GIS in Public Health, HealthGIS 2013 - In Conjunction with the 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems - Orlando, FL, United States
Duration: 5 Nov 20135 Nov 2013

Publication series

NameHealthGIS 2013 - Proc. of the 2nd ACM SIGSPATIAL Int. Workshop on the Use of GIS in Public Health, In Conjunction with the 21st ACM SIGSPATIAL Int. Conf. on Advances in Geographic Information Systems

Conference

Conference2nd ACM SIGSPATIAL International Workshop on the Use of GIS in Public Health, HealthGIS 2013 - In Conjunction with the 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
CountryUnited States
CityOrlando, FL
Period5/11/135/11/13

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  • Cite this

    Gudes, O., & Usher, W. (2013). A multi-dimensional approach to measure the use of Social Media tools in accessing health information: A case study of Griffith University students, Queensland, Australia. In D. W. Goldberg (Ed.), Proceedings of the 2nd ACM SIGSPATIAL International Workshop on the Use of GIS in Public Health, In Conjunction with the 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems: HealthGIS 2013 (pp. 31-39). (HealthGIS 2013 - Proc. of the 2nd ACM SIGSPATIAL Int. Workshop on the Use of GIS in Public Health, In Conjunction with the 21st ACM SIGSPATIAL Int. Conf. on Advances in Geographic Information Systems). Association for Computing Machinery (ACM). https://doi.org/10.1145/2535708.2535712