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A comparative effectiveness study of eSource used for data capture for a clinical research registry

OBJECTIVE: This pilot study compared eSource-enabled versus traditional manual data transcription (non-eSource methods) for the collection of clinical registry information. The primary study objective was to compare the time spent completing registry forms using eSource versus non-eSource methods Th...

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Autores principales: Nordo, Amy Harris, Eisenstein, Eric L., Hawley, Jeffrey, Vadakkeveedu, Sai, Pressley, Melissa, Pennock, Jennifer, Sanderson, Iain
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5942198/
https://www.ncbi.nlm.nih.gov/pubmed/28551007
http://dx.doi.org/10.1016/j.ijmedinf.2017.04.015
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author Nordo, Amy Harris
Eisenstein, Eric L.
Hawley, Jeffrey
Vadakkeveedu, Sai
Pressley, Melissa
Pennock, Jennifer
Sanderson, Iain
author_facet Nordo, Amy Harris
Eisenstein, Eric L.
Hawley, Jeffrey
Vadakkeveedu, Sai
Pressley, Melissa
Pennock, Jennifer
Sanderson, Iain
author_sort Nordo, Amy Harris
collection PubMed
description OBJECTIVE: This pilot study compared eSource-enabled versus traditional manual data transcription (non-eSource methods) for the collection of clinical registry information. The primary study objective was to compare the time spent completing registry forms using eSource versus non-eSource methods The secondary objectives were to compare data quality associated with these two data capture methods and the flexibility of the workflows. This study directly addressed fundamental questions relating to eSource adoption: what time-savings can be realized, and to what extent does eSource improve data quality. MATERIALS AND METHODS: The study used time and motion methods to compare eSource versus non-eSource data capture workflows for a single center OB/GYN registry. Direct observation by industrial engineers using specialized computer software captured keystrokes, mouse clicks and video recordings of the study team in their normal work environment completing real-time data collection. RESULTS: The overall average data capture time was reduced with eSource versus non-eSource methods (difference, 151 s per case; eSource, 1603 s; non-eSource, 1754 s; p = 0.051). The average data capture time for the demographic data was reduced (difference, 79 s per case; eSource, 133 s; non-eSource, 213 s; p < 0.001). This represents a 37% time reduction (95% confidence interval 27% to 47%). eSourced data field transcription errors were also reduced (eSource, 0%; non-eSource, 9%). CONCLUSION: The use of eSource versus traditional data transcription was associated with a significant reduction in data entry time and data quality errors. Further studies in other settings are needed to validate these results.
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spelling pubmed-59421982018-07-01 A comparative effectiveness study of eSource used for data capture for a clinical research registry Nordo, Amy Harris Eisenstein, Eric L. Hawley, Jeffrey Vadakkeveedu, Sai Pressley, Melissa Pennock, Jennifer Sanderson, Iain Int J Med Inform Article OBJECTIVE: This pilot study compared eSource-enabled versus traditional manual data transcription (non-eSource methods) for the collection of clinical registry information. The primary study objective was to compare the time spent completing registry forms using eSource versus non-eSource methods The secondary objectives were to compare data quality associated with these two data capture methods and the flexibility of the workflows. This study directly addressed fundamental questions relating to eSource adoption: what time-savings can be realized, and to what extent does eSource improve data quality. MATERIALS AND METHODS: The study used time and motion methods to compare eSource versus non-eSource data capture workflows for a single center OB/GYN registry. Direct observation by industrial engineers using specialized computer software captured keystrokes, mouse clicks and video recordings of the study team in their normal work environment completing real-time data collection. RESULTS: The overall average data capture time was reduced with eSource versus non-eSource methods (difference, 151 s per case; eSource, 1603 s; non-eSource, 1754 s; p = 0.051). The average data capture time for the demographic data was reduced (difference, 79 s per case; eSource, 133 s; non-eSource, 213 s; p < 0.001). This represents a 37% time reduction (95% confidence interval 27% to 47%). eSourced data field transcription errors were also reduced (eSource, 0%; non-eSource, 9%). CONCLUSION: The use of eSource versus traditional data transcription was associated with a significant reduction in data entry time and data quality errors. Further studies in other settings are needed to validate these results. 2017-04-29 2017-07 /pmc/articles/PMC5942198/ /pubmed/28551007 http://dx.doi.org/10.1016/j.ijmedinf.2017.04.015 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/BY-NC-ND/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) ).
spellingShingle Article
Nordo, Amy Harris
Eisenstein, Eric L.
Hawley, Jeffrey
Vadakkeveedu, Sai
Pressley, Melissa
Pennock, Jennifer
Sanderson, Iain
A comparative effectiveness study of eSource used for data capture for a clinical research registry
title A comparative effectiveness study of eSource used for data capture for a clinical research registry
title_full A comparative effectiveness study of eSource used for data capture for a clinical research registry
title_fullStr A comparative effectiveness study of eSource used for data capture for a clinical research registry
title_full_unstemmed A comparative effectiveness study of eSource used for data capture for a clinical research registry
title_short A comparative effectiveness study of eSource used for data capture for a clinical research registry
title_sort comparative effectiveness study of esource used for data capture for a clinical research registry
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5942198/
https://www.ncbi.nlm.nih.gov/pubmed/28551007
http://dx.doi.org/10.1016/j.ijmedinf.2017.04.015
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