TY - GEN
T1 - A multi-dimensional approach to measure the use of Social Media tools in accessing health information
T2 - 2nd 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
AU - Gudes, Ori
AU - Usher, Wayne
PY - 2013/1/1
Y1 - 2013/1/1
N2 - 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.
AB - 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.
KW - Accessing health information
KW - E-health
KW - GeoHealth
KW - Qualitative analysis driven by spatial analysis
KW - Social media tools
KW - Spatial analysis
UR - http://www.scopus.com/inward/record.url?scp=84898933790&partnerID=8YFLogxK
U2 - 10.1145/2535708.2535712
DO - 10.1145/2535708.2535712
M3 - Conference contribution
AN - SCOPUS:84898933790
SN - 9781450325295
T3 - 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
SP - 31
EP - 39
BT - 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
A2 - Goldberg, Daniel W.
PB - Association for Computing Machinery (ACM)
CY - United States
Y2 - 5 November 2013 through 5 November 2013
ER -