Hussam Kaka1, Renise Ayearst2, Maithy Tran3, Zahi Touma3, Maria Bagovich4, Ophir Vinik4, Mansour Somaily3, Amir Haddad5, Dafna D Gladman6, Vinod Chandran7. 1. 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. 2. IPART (International Psoriasis and Arthritis Research Team) Program,Toronto Western Hospital. 3. Psoriatic Arthritis Program,University Health Network,Centre for Prognosis Studies in the Rheumatic Diseases,Toronto Western Hospital. 4. University of Toronto Rheumatology Training Program,Psoriatic Arthritis Program,University Health Network,Centre for Prognosis Studies in the Rheumatic Diseases,Toronto Western Hospital. 5. Division of Rheumatology,Department of Medicine,University of Toronto,Toronto,Canada. 6. University of Toronto,Toronto Western Research Institute,Psoriatic Arthritis Program,University Health Network,Centre for Prognosis Studies in the Rheumatic Diseases,Toronto Western Hospital. 7. University of Toronto,Psoriatic Arthritis Program,University Health Network,Centre for Prognosis Studies in the Rheumatic Diseases,Toronto Western Hospitalvinod.chandran@uhnres.utoronto.ca.
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.
RCT Entities:
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.
Entities:
Keywords:
Data collection; Data quality; Research database; Tablet computers
Authors: Brett Armstrong; Daniel Habtemariam; Erica Husser; Douglas L Leslie; Marie Boltz; Yoojin Jung; Donna M Fick; Sharon K Inouye; Edward R Marcantonio; Long H Ngo Journal: JAMIA Open Date: 2021-05-20
Authors: Jacob J Triplet; Enesi Momoh; Jennifer Kurowicki; Leonardo D Villarroel; Tsun Yee Law; Jonathan C Levy Journal: JSES Open Access Date: 2017-04-18