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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2017
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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. |
format | Online Article Text |
id | pubmed-5942198 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
record_format | MEDLINE/PubMed |
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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