Preprint Article Version 1 This version is not peer-reviewed

A Simple Four Templates Approach to Programming Android Cell Phones for Use in Clinical Research Projects

Version 1 : Received: 3 June 2018 / Approved: 6 June 2018 / Online: 6 June 2018 (09:40:35 CEST)

How to cite: Hartley, T.F. A Simple Four Templates Approach to Programming Android Cell Phones for Use in Clinical Research Projects. Preprints 2018, 2018060078 (doi: 10.20944/preprints201806.0078.v1). Hartley, T.F. A Simple Four Templates Approach to Programming Android Cell Phones for Use in Clinical Research Projects. Preprints 2018, 2018060078 (doi: 10.20944/preprints201806.0078.v1).

Abstract

We describe how clinical researchers can exploit the Android cell phone as an economic platform for the gathering of data from clinical trial participants. The aim was to provide a solution with the shortest possible learning curve for researchers who are comfortable with setting up web pages. The additional requirement is that they extend their skills to the installation of a local webserver on the cell phone and then use four simple PHP templates to construct the clinical research data collection and processing forms. Data so collected is automatically written to local csv files on the cell phone. These csv phones can be retrieved from the device by the researcher simply by plugging the cell phone into their desktop PC and accessing the cell phone memory in just the same way as they would a USB memory stick. The results are presented as a list of recommended Android Apps along with settings that have proved to provide a stable combination likely to be easily used by clinical research participants. We have made a limited ‘user trial’ of this approach with satisfactory feedback received. We have concluded that this approach will reward researchers with a solution that is user friendly, will provide transcription free data and that is more than cost competitive with the conventional error prone/poor compliance ‘paper based participant form – researcher transcription’ cycle.

Subject Areas

health data science; clinical trials; research participant reporting; personal health data diary; personal private webserver; research data integrity

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