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Mobile Device–Based Electronic Data Capture System Used in a Clinical Randomized Controlled Trial: Advantages and Challenges

BACKGROUND: Electronic data capture (EDC) systems have been widely used in clinical research, but mobile device–based electronic data capture (mEDC) system has not been well evaluated. OBJECTIVE: The aim of our study was to evaluate the feasibility, advantages, and challenges of mEDC in data collect...

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Autores principales: Zhang, Jing, Sun, Lei, Liu, Yu, Wang, Hongyi, Sun, Ningling, Zhang, Puhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5362692/
https://www.ncbi.nlm.nih.gov/pubmed/28274907
http://dx.doi.org/10.2196/jmir.6978
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author Zhang, Jing
Sun, Lei
Liu, Yu
Wang, Hongyi
Sun, Ningling
Zhang, Puhong
author_facet Zhang, Jing
Sun, Lei
Liu, Yu
Wang, Hongyi
Sun, Ningling
Zhang, Puhong
author_sort Zhang, Jing
collection PubMed
description BACKGROUND: Electronic data capture (EDC) systems have been widely used in clinical research, but mobile device–based electronic data capture (mEDC) system has not been well evaluated. OBJECTIVE: The aim of our study was to evaluate the feasibility, advantages, and challenges of mEDC in data collection, project management, and telemonitoring in a randomized controlled trial (RCT). METHODS: We developed an mEDC to support an RCT called “Telmisartan and Hydrochlorothiazide Antihypertensive Treatment (THAT)” study, which was a multicenter, double-blinded, RCT, with the purpose of comparing the efficacy of telmisartan and hydrochlorothiazide (HCTZ) monotherapy in high-sodium-intake patients with mild to moderate hypertension during a 60 days follow-up. Semistructured interviews were conducted during and after the trial to evaluate the feasibility, advantage, and challenge of mEDC. Nvivo version 9.0 (QSR International) was used to analyze records of interviews, and a thematic framework method was used to obtain outcomes. RESULTS: The mEDC was successfully used to support the data collection and project management in all the 14 study hospitals. A total of 1333 patients were recruited with support of mEDC, of whom 1037 successfully completed all 4 visits. Across all visits, the average time needed for 141 questions per patient was 53 min, which were acceptable to both doctors and patients. All the interviewees, including 24 doctors, 53 patients, 1 clinical research associate (CRA), 1 project manager (PM), and 1 data manager (DM), expressed their satisfaction to nearly all the functions of the innovative mEDC in randomization, data collection, project management, quality control, and remote monitoring in real time. The average satisfaction score was 9.2 (scale, 0-10). The biggest challenge came from the stability of the mobile or Wi-Fi signal although it was not a problem in THAT study. CONCLUSIONS: The innovative mEDC has many merits and is well acceptable in supporting data collection and project management in a timely manner in clinical trial.
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spelling pubmed-53626922017-04-06 Mobile Device–Based Electronic Data Capture System Used in a Clinical Randomized Controlled Trial: Advantages and Challenges Zhang, Jing Sun, Lei Liu, Yu Wang, Hongyi Sun, Ningling Zhang, Puhong J Med Internet Res Original Paper BACKGROUND: Electronic data capture (EDC) systems have been widely used in clinical research, but mobile device–based electronic data capture (mEDC) system has not been well evaluated. OBJECTIVE: The aim of our study was to evaluate the feasibility, advantages, and challenges of mEDC in data collection, project management, and telemonitoring in a randomized controlled trial (RCT). METHODS: We developed an mEDC to support an RCT called “Telmisartan and Hydrochlorothiazide Antihypertensive Treatment (THAT)” study, which was a multicenter, double-blinded, RCT, with the purpose of comparing the efficacy of telmisartan and hydrochlorothiazide (HCTZ) monotherapy in high-sodium-intake patients with mild to moderate hypertension during a 60 days follow-up. Semistructured interviews were conducted during and after the trial to evaluate the feasibility, advantage, and challenge of mEDC. Nvivo version 9.0 (QSR International) was used to analyze records of interviews, and a thematic framework method was used to obtain outcomes. RESULTS: The mEDC was successfully used to support the data collection and project management in all the 14 study hospitals. A total of 1333 patients were recruited with support of mEDC, of whom 1037 successfully completed all 4 visits. Across all visits, the average time needed for 141 questions per patient was 53 min, which were acceptable to both doctors and patients. All the interviewees, including 24 doctors, 53 patients, 1 clinical research associate (CRA), 1 project manager (PM), and 1 data manager (DM), expressed their satisfaction to nearly all the functions of the innovative mEDC in randomization, data collection, project management, quality control, and remote monitoring in real time. The average satisfaction score was 9.2 (scale, 0-10). The biggest challenge came from the stability of the mobile or Wi-Fi signal although it was not a problem in THAT study. CONCLUSIONS: The innovative mEDC has many merits and is well acceptable in supporting data collection and project management in a timely manner in clinical trial. JMIR Publications 2017-03-08 /pmc/articles/PMC5362692/ /pubmed/28274907 http://dx.doi.org/10.2196/jmir.6978 Text en ©Jing Zhang, Lei Sun, Yu Liu, Hongyi Wang, Ningling Sun, Puhong Zhang. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 08.03.2017. https://creativecommons.org/licenses/by/2.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0/ (https://creativecommons.org/licenses/by/2.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Zhang, Jing
Sun, Lei
Liu, Yu
Wang, Hongyi
Sun, Ningling
Zhang, Puhong
Mobile Device–Based Electronic Data Capture System Used in a Clinical Randomized Controlled Trial: Advantages and Challenges
title Mobile Device–Based Electronic Data Capture System Used in a Clinical Randomized Controlled Trial: Advantages and Challenges
title_full Mobile Device–Based Electronic Data Capture System Used in a Clinical Randomized Controlled Trial: Advantages and Challenges
title_fullStr Mobile Device–Based Electronic Data Capture System Used in a Clinical Randomized Controlled Trial: Advantages and Challenges
title_full_unstemmed Mobile Device–Based Electronic Data Capture System Used in a Clinical Randomized Controlled Trial: Advantages and Challenges
title_short Mobile Device–Based Electronic Data Capture System Used in a Clinical Randomized Controlled Trial: Advantages and Challenges
title_sort mobile device–based electronic data capture system used in a clinical randomized controlled trial: advantages and challenges
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5362692/
https://www.ncbi.nlm.nih.gov/pubmed/28274907
http://dx.doi.org/10.2196/jmir.6978
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