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Incorporating Scannable Forms into Immunization Data Collection Processes: A Mixed-Methods Study

INTRODUCTION: Individual-level immunization data captured electronically can facilitate evidence-based decision-making and planning. Populating individual-level records through manual data entry is time-consuming. An alternative is to use scannable forms, completed at the point of vaccination and su...

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Autores principales: Heidebrecht, Christine L., Quach, Susan, Pereira, Jennifer A., Quan, Sherman D., Kolbe, Faron, Finkelstein, Michael, Buckeridge, David L., Kwong, Jeffrey C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3525595/
https://www.ncbi.nlm.nih.gov/pubmed/23272047
http://dx.doi.org/10.1371/journal.pone.0049627
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author Heidebrecht, Christine L.
Quach, Susan
Pereira, Jennifer A.
Quan, Sherman D.
Kolbe, Faron
Finkelstein, Michael
Buckeridge, David L.
Kwong, Jeffrey C.
author_facet Heidebrecht, Christine L.
Quach, Susan
Pereira, Jennifer A.
Quan, Sherman D.
Kolbe, Faron
Finkelstein, Michael
Buckeridge, David L.
Kwong, Jeffrey C.
author_sort Heidebrecht, Christine L.
collection PubMed
description INTRODUCTION: Individual-level immunization data captured electronically can facilitate evidence-based decision-making and planning. Populating individual-level records through manual data entry is time-consuming. An alternative is to use scannable forms, completed at the point of vaccination and subsequently scanned and exported to a database or registry. To explore the suitability of this approach for collecting immunization data, we conducted a feasibility study in two settings in Ontario, Canada. METHODS AND FINDINGS: Prior to the 2011–2012 influenza vaccination campaign, we developed a scannable form template and a corresponding database that captured required demographic and clinical data elements. We examined efficiency, data quality, and usability through time observations, record audits, staff interviews, and client surveys. The mean time required to scan and verify forms (62.3 s) was significantly shorter than manual data entry (69.5 s) in one organization, whereas there was no difference (36.6 s vs. 35.4 s) in a second organization. Record audits revealed no differences in data quality between records populated by scanning versus manual data entry. Data processing personnel and immunized clients found the processes involved to be straightforward, while nurses and managers had mixed perceptions regarding the ease and merit of using scannable forms. Printing quality and other factors rendered some forms unscannable, necessitating manual entry. CONCLUSIONS: Scannable forms can facilitate efficient data entry, but certain features of the forms, as well as the workflow and infrastructure into which they are incorporated, should be evaluated and adapted if scannable forms are to be a meaningful alternative to manual data entry.
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spelling pubmed-35255952012-12-27 Incorporating Scannable Forms into Immunization Data Collection Processes: A Mixed-Methods Study Heidebrecht, Christine L. Quach, Susan Pereira, Jennifer A. Quan, Sherman D. Kolbe, Faron Finkelstein, Michael Buckeridge, David L. Kwong, Jeffrey C. PLoS One Research Article INTRODUCTION: Individual-level immunization data captured electronically can facilitate evidence-based decision-making and planning. Populating individual-level records through manual data entry is time-consuming. An alternative is to use scannable forms, completed at the point of vaccination and subsequently scanned and exported to a database or registry. To explore the suitability of this approach for collecting immunization data, we conducted a feasibility study in two settings in Ontario, Canada. METHODS AND FINDINGS: Prior to the 2011–2012 influenza vaccination campaign, we developed a scannable form template and a corresponding database that captured required demographic and clinical data elements. We examined efficiency, data quality, and usability through time observations, record audits, staff interviews, and client surveys. The mean time required to scan and verify forms (62.3 s) was significantly shorter than manual data entry (69.5 s) in one organization, whereas there was no difference (36.6 s vs. 35.4 s) in a second organization. Record audits revealed no differences in data quality between records populated by scanning versus manual data entry. Data processing personnel and immunized clients found the processes involved to be straightforward, while nurses and managers had mixed perceptions regarding the ease and merit of using scannable forms. Printing quality and other factors rendered some forms unscannable, necessitating manual entry. CONCLUSIONS: Scannable forms can facilitate efficient data entry, but certain features of the forms, as well as the workflow and infrastructure into which they are incorporated, should be evaluated and adapted if scannable forms are to be a meaningful alternative to manual data entry. Public Library of Science 2012-12-18 /pmc/articles/PMC3525595/ /pubmed/23272047 http://dx.doi.org/10.1371/journal.pone.0049627 Text en © 2012 Heidebrecht et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Heidebrecht, Christine L.
Quach, Susan
Pereira, Jennifer A.
Quan, Sherman D.
Kolbe, Faron
Finkelstein, Michael
Buckeridge, David L.
Kwong, Jeffrey C.
Incorporating Scannable Forms into Immunization Data Collection Processes: A Mixed-Methods Study
title Incorporating Scannable Forms into Immunization Data Collection Processes: A Mixed-Methods Study
title_full Incorporating Scannable Forms into Immunization Data Collection Processes: A Mixed-Methods Study
title_fullStr Incorporating Scannable Forms into Immunization Data Collection Processes: A Mixed-Methods Study
title_full_unstemmed Incorporating Scannable Forms into Immunization Data Collection Processes: A Mixed-Methods Study
title_short Incorporating Scannable Forms into Immunization Data Collection Processes: A Mixed-Methods Study
title_sort incorporating scannable forms into immunization data collection processes: a mixed-methods study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3525595/
https://www.ncbi.nlm.nih.gov/pubmed/23272047
http://dx.doi.org/10.1371/journal.pone.0049627
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