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Electronic Versus Traditional Data Collection: A Multicenter Randomized Controlled Perioperative Pain Trial

Background: Electronic data collection is increasingly available as a means to collect pain-related clinical trial data; however, effectiveness and costs relative to traditional data collection are uncertain. Aims: The aim of this study was to evaluate data quality, protocol adherence, satisfaction,...

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Autores principales: Khan, James S., Jibb, Lindsay A., Busse, Jason W., Gilron, Ian, Choi, Stephen, Paul, James E., McGillion, Michael, Mackey, Sean, Buckley, D. Norman, Lee, Shun Fu, Devereaux, P. J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8730625/
https://www.ncbi.nlm.nih.gov/pubmed/35005415
http://dx.doi.org/10.1080/24740527.2019.1587584
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author Khan, James S.
Jibb, Lindsay A.
Busse, Jason W.
Gilron, Ian
Choi, Stephen
Paul, James E.
McGillion, Michael
Mackey, Sean
Buckley, D. Norman
Lee, Shun Fu
Devereaux, P. J.
author_facet Khan, James S.
Jibb, Lindsay A.
Busse, Jason W.
Gilron, Ian
Choi, Stephen
Paul, James E.
McGillion, Michael
Mackey, Sean
Buckley, D. Norman
Lee, Shun Fu
Devereaux, P. J.
author_sort Khan, James S.
collection PubMed
description Background: Electronic data collection is increasingly available as a means to collect pain-related clinical trial data; however, effectiveness and costs relative to traditional data collection are uncertain. Aims: The aim of this study was to evaluate data quality, protocol adherence, satisfaction, and resource requirements of electronic data collection (i.e., Internet-based electronic submission) compared to traditional data collection methods (i.e., paper-based diaries and telephone interviews) in a perioperative factorial randomized controlled trial. Methods: This study was an open-label two-arm parallel randomized controlled trial. Women (18–75 years) undergoing breast cancer surgery were allocated to either electronic or traditional data collection and completed pain-related questionnaires at baseline, postoperative period, and 3-month follow-up (NCT02240199). Results: We acquired outcome data at all time points from 78 randomized patients, 38 in the electronic group and 40 in the traditional group. The number of data queries (e.g., erroneously entered data) per patient was higher in the electronic data group (4.92 [SD = 4.67] vs. 1.88 [SD = 1.51]; P < 0.001). No between-group differences were observed for compliance with medications, data completeness, loss to follow-up, or patient or research assistant satisfaction. More research assistant time per patient was spent collecting data in the traditional group (42.6 min [SD = 12.8] vs. 9.92 min [SD = 7.6]; P < 0.001); however, costs per patient were higher in the electronic group ($176.85 [SD = 2.90] vs. $16.33 [SD = 4.90]; P < 0.001). Conclusion: Electronic data collection is feasible for perioperative pain clinical trials. Additional trials, including different surgical populations, are needed to confirm our findings and optimize use of electronic data capture methods.
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spelling pubmed-87306252022-01-06 Electronic Versus Traditional Data Collection: A Multicenter Randomized Controlled Perioperative Pain Trial Khan, James S. Jibb, Lindsay A. Busse, Jason W. Gilron, Ian Choi, Stephen Paul, James E. McGillion, Michael Mackey, Sean Buckley, D. Norman Lee, Shun Fu Devereaux, P. J. Can J Pain Original Articles Background: Electronic data collection is increasingly available as a means to collect pain-related clinical trial data; however, effectiveness and costs relative to traditional data collection are uncertain. Aims: The aim of this study was to evaluate data quality, protocol adherence, satisfaction, and resource requirements of electronic data collection (i.e., Internet-based electronic submission) compared to traditional data collection methods (i.e., paper-based diaries and telephone interviews) in a perioperative factorial randomized controlled trial. Methods: This study was an open-label two-arm parallel randomized controlled trial. Women (18–75 years) undergoing breast cancer surgery were allocated to either electronic or traditional data collection and completed pain-related questionnaires at baseline, postoperative period, and 3-month follow-up (NCT02240199). Results: We acquired outcome data at all time points from 78 randomized patients, 38 in the electronic group and 40 in the traditional group. The number of data queries (e.g., erroneously entered data) per patient was higher in the electronic data group (4.92 [SD = 4.67] vs. 1.88 [SD = 1.51]; P < 0.001). No between-group differences were observed for compliance with medications, data completeness, loss to follow-up, or patient or research assistant satisfaction. More research assistant time per patient was spent collecting data in the traditional group (42.6 min [SD = 12.8] vs. 9.92 min [SD = 7.6]; P < 0.001); however, costs per patient were higher in the electronic group ($176.85 [SD = 2.90] vs. $16.33 [SD = 4.90]; P < 0.001). Conclusion: Electronic data collection is feasible for perioperative pain clinical trials. Additional trials, including different surgical populations, are needed to confirm our findings and optimize use of electronic data capture methods. Taylor & Francis 2019-07-30 /pmc/articles/PMC8730625/ /pubmed/35005415 http://dx.doi.org/10.1080/24740527.2019.1587584 Text en © 2019 The Author(s). Published with license by Taylor & Francis Group, LLC. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Khan, James S.
Jibb, Lindsay A.
Busse, Jason W.
Gilron, Ian
Choi, Stephen
Paul, James E.
McGillion, Michael
Mackey, Sean
Buckley, D. Norman
Lee, Shun Fu
Devereaux, P. J.
Electronic Versus Traditional Data Collection: A Multicenter Randomized Controlled Perioperative Pain Trial
title Electronic Versus Traditional Data Collection: A Multicenter Randomized Controlled Perioperative Pain Trial
title_full Electronic Versus Traditional Data Collection: A Multicenter Randomized Controlled Perioperative Pain Trial
title_fullStr Electronic Versus Traditional Data Collection: A Multicenter Randomized Controlled Perioperative Pain Trial
title_full_unstemmed Electronic Versus Traditional Data Collection: A Multicenter Randomized Controlled Perioperative Pain Trial
title_short Electronic Versus Traditional Data Collection: A Multicenter Randomized Controlled Perioperative Pain Trial
title_sort electronic versus traditional data collection: a multicenter randomized controlled perioperative pain trial
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8730625/
https://www.ncbi.nlm.nih.gov/pubmed/35005415
http://dx.doi.org/10.1080/24740527.2019.1587584
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