UCT CS Research Document Archive

Can Health Workers capture data using a generic mobile phone with sufficient accuracy for Capture at Source to be used for Clinical Research Purposes?

Workman, Michael L (2013) Can Health Workers capture data using a generic mobile phone with sufficient accuracy for Capture at Source to be used for Clinical Research Purposes?. MSc, Department of Computer Science, University of Cape Town.

Full text available as:
PDF - Requires Adobe Acrobat Reader or other PDF viewer.

Abstract

Objective:
To determine the accuracy, measured by error rate, with which Clinical Research Workers (CRWs), with minimal experience in data entry, could capture data on a feature phone during an interview using two different mobile phone applications, compared to the accuracy with which they could record data on paper Case Report Forms (CRFs).

Design:
A comparative study was performed where 10 participating CRWs performed 90 mock interviews using either paper CRFs or one of two mobile phone applications. The phone applications were a commonly used open source application and an application custom built for this study that followed a simplified, less flexible user interface paradigm. The answers to the interview questions were randomly generated and provided to the interviewees in sealed envelopes prior to the scheduling of the mock interview. Error rates of the captured data were calculated relative to the randomly generated expected answers.

Results and Conclusion:
The study aimed to show that error rates of clinical research data captured using a mobile phone application would not be inferior to data recorded on paper CRFs. For the custom application, this desired result was not found unequivocally. An error in judgment when designing the custom phone application resulted in dates being captured in a manner unfamiliar to the study participants, leading to high error rates for this type of data. If this error is condoned by excluding the date type from the results for the custom application, the custom application is shown to be non-inferior, at the 95% confidence level, to standard paper forms when capturing data for clinical research.

Analysis of the results for the open source application showed that using this application for data capture was inferior to paper CRFs. Secondary analysis showed that error rates for data captured on the custom mobile phone application by non-computer literate users were significantly lower at the 95% confidence level than the error rates for data recorded by the same users on paper and for data captured by computer literate users using the custom application. This result confirms that even non-computer literate users can capture data accurately using a feature phone with a simplified user interface.

EPrint Type:Electronic Thesis or Dissertation
Keywords:Mobile
UI Design
Feature phone
Clinical research
non-computer literate
Subjects:J Computer Applications: J.3 LIFE AND MEDICAL SCIENCES
ID Code:936
Deposited By:Workman, Michael L
Deposited On:26 June 2014