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DEVELOPING AN IPAD® APPLICATION FOR DATA COLLECTION IN A RHEUMATOLOGY RESEARCH CLINIC

Part of: Special Collection - Methods

Published online by Cambridge University Press:  20 May 2015

Hussam Kaka ,
Renise Ayearst ,
Maithy Tran ,
Zahi Touma ,
Maria Bagovich ,
Ophir Vinik ,
Mansour Somaily ,
Amir Haddad ,
Dafna D. Gladman  and
Vinod Chandran
Hussam Kaka
Affiliation:
University of Toronto, Institute of Medical Science Summer Student, Psoriatic Arthritis Program, University Health Network, Centre for Prognosis Studies in the Rheumatic Diseases, Toronto Western Hospital
Renise Ayearst
Affiliation:
IPART (International Psoriasis and Arthritis Research Team) Program, Toronto Western Hospital
Maithy Tran
Affiliation:
Psoriatic Arthritis Program, University Health Network, Centre for Prognosis Studies in the Rheumatic Diseases, Toronto Western Hospital
Zahi Touma
Affiliation:
Psoriatic Arthritis Program, University Health Network, Centre for Prognosis Studies in the Rheumatic Diseases, Toronto Western Hospital
Maria Bagovich
Affiliation:
University of Toronto Rheumatology Training Program, Psoriatic Arthritis Program, University Health Network, Centre for Prognosis Studies in the Rheumatic Diseases, Toronto Western Hospital
Ophir Vinik
Affiliation:
University of Toronto Rheumatology Training Program, Psoriatic Arthritis Program, University Health Network, Centre for Prognosis Studies in the Rheumatic Diseases, Toronto Western Hospital
Mansour Somaily
Affiliation:
Psoriatic Arthritis Program, University Health Network, Centre for Prognosis Studies in the Rheumatic Diseases, Toronto Western Hospital
Amir Haddad
Affiliation:
Division of Rheumatology, Department of Medicine, University of Toronto, Toronto, Canada. Psoriatic Arthritis Program, Centre for Prognosis Studies in the Rheumatic Diseases, Toronto Western Hospital, University Health Network
Dafna D. Gladman
Affiliation:
University of Toronto, Toronto Western Research Institute, Psoriatic Arthritis Program, University Health Network, Centre for Prognosis Studies in the Rheumatic Diseases, Toronto Western Hospital
Vinod Chandran
Affiliation:
University of Toronto, Psoriatic Arthritis Program, University Health Network, Centre for Prognosis Studies in the Rheumatic Diseases, Toronto Western Hospital vinod.chandran@uhnres.utoronto.ca
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Abstract

Objectives: Clinical research data are often collected on paper and later inputted onto an electronic database. This method is time consuming and potentially introduces errors. Therefore, to make primary data collection more efficient and less error prone we aimed to develop a touch-screen application for data collection in a psoriatic arthritis research clinic and compared it with the pre-existing paper-based system.

Methods: We developed a Web application using Java and optimized it for the iPad®. It highlights missing fields for physicians in real time, and only permits submission of data collection form after corrections are made. For its evaluation, seven physicians participated, and before each patient visit they were randomly assigned paper or iPad® data entry. Number of errors, length of visit, and time between clinic visit and completion of data entry were measured.

Results: A total of 106 patients seen in the clinic who agreed to participate were randomly assigned to be evaluated by clinic physicians using the iPad® (fifty-three patients) or a paper protocol (fifty-three patients). On average, 3.34 omissions were found per paper form, of which 2.24 would have been detected on the iPad®. The iPad® increased the mean patient encounter time from 37.2 minutes to 46.5 minutes, but eliminated delay between a clinic visit and its data entry.

Conclusions: Entering data using the iPad® application makes the patient encounter slightly longer, but reduces “missing fields.” It also eliminates the delay between clinic visit and data entry thus improving the efficiency of clinical data capture in a research setting.

Keywords

Tablet computersData collectionData qualityResearch database
Type
Methods
Information
International Journal of Technology Assessment in Health Care , Volume 31 , Issue 1-2 , 2015 , pp. 99 - 102
Copyright
Copyright © Cambridge University Press 2015 

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