This study is concerned with mHealth as a subset of eHealth; referring to the delivery of health-related services via mobile communications technology. Suitable taxonomies can facilitate classification of complex domains and supports researchers and practitioners in their efforts to understand and analyse domain relevant innovation. The purpose of this paper is to suggest a Taxonomy of mHealth, towards an eventual useful taxonomy of mHealth. This is operationalized through an interpretivist inductive engagement with relevant literature. A Literature Scoping grounds the endeavour and considers the characteristics of mHealth. The scoping review focusses, primarily on reported implementations of mHealth and secondarily, the meta-anylysis found in reports, including significant grey literature. A resulting suggested taxonomy is applied to two instances of mHealth implementations in South Africa to gauge the artifacts efficacy; concluding remarks regarding a suggested way forward are provided.
Reference:
Botha, A., Weiss, M. and Herselman, M.E. 2018. Towards a taxonomy of mHealth. International Conference on Advances in Big Data, Computing, Data Communication Systems (icABCD 2018), 6-7 August 2018, Durban, South Africa
Botha, A., Weiss, M., & Herselman, M. E. (2018). Towards a taxonomy of mHealth. IEEE. http://hdl.handle.net/10204/10953
Botha, Adèle, M Weiss, and Martha E Herselman. "Towards a taxonomy of mHealth." (2018): http://hdl.handle.net/10204/10953
Botha A, Weiss M, Herselman ME, Towards a taxonomy of mHealth; IEEE; 2018. http://hdl.handle.net/10204/10953 .
Copyright: 2018. IEEE. Due to copyright restrictions, the attached PDF file only contains the abstract of the full text item. For access to the full text item, kindly consult the publisher's website.
