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Development and validation of a model for the adoption of structured and standardised data recording among healthcare professionals

BACKGROUND: Healthcare professionals provide care to patients and during that process, record large quantities of data in patient records. Data in an Electronic Health Record should ideally be recorded once and be reusable within the care process as well as for secondary purposes. A common approach...

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Autores principales: Joukes, Erik, Cornet, Ronald, de Bruijne, Martine C., de Keizer, Nicolette F., Abu-Hanna, Ameen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6027789/
https://www.ncbi.nlm.nih.gov/pubmed/29954388
http://dx.doi.org/10.1186/s12911-018-0640-8
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author Joukes, Erik
Cornet, Ronald
de Bruijne, Martine C.
de Keizer, Nicolette F.
Abu-Hanna, Ameen
author_facet Joukes, Erik
Cornet, Ronald
de Bruijne, Martine C.
de Keizer, Nicolette F.
Abu-Hanna, Ameen
author_sort Joukes, Erik
collection PubMed
description BACKGROUND: Healthcare professionals provide care to patients and during that process, record large quantities of data in patient records. Data in an Electronic Health Record should ideally be recorded once and be reusable within the care process as well as for secondary purposes. A common approach to realise this is to let healthcare providers record data in a standardised and structured way at the point of care. Currently, it is not clear to what extent this structured and standardised recording has been adopted by healthcare professionals and what barriers to their adoption exist. Therefore, we developed and validated a multivariable model to capture the concepts underlying the adoption of structured and standardised recording among healthcare professionals. METHODS: Based on separate models from the literature we developed a new theoretical model describing the underlying concepts of the adoption of structured and standardised recording. Using a questionnaire built upon this model we gathered data to perform a summative validation of our model. Validation was done through partial least squares structural equation modelling (PLS-SEM). The quality of both levels defined in PLS-SEM analysis, i.e., the measurement model and the structural model, were assessed on performance measures defined in literature. RESULTS: The theoretical model we developed consists of 29 concepts related to information systems as well as organisational factors and personal beliefs. Based on these concepts, 59 statements with a 5 point Likert-scale (fully disagree to fully agree) were specified in the questionnaire. We received 3584 responses. The validation shows our model is supported to a large extent by the questionnaire data. Intention to record in a structured and standardised way emerged as a significant factor of reported behaviour (β = 0.305, p < 0.001). This intention is influenced most by attitude (β = 0.512, p < 0.001). CONCLUSIONS: This model can be used to measure the perceived level of adoption of structured and standardised recording among healthcare professionals and further improve knowledge on the barriers and facilitators of this adoption. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12911-018-0640-8) contains supplementary material, which is available to authorized users.
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spelling pubmed-60277892018-07-09 Development and validation of a model for the adoption of structured and standardised data recording among healthcare professionals Joukes, Erik Cornet, Ronald de Bruijne, Martine C. de Keizer, Nicolette F. Abu-Hanna, Ameen BMC Med Inform Decis Mak Research Article BACKGROUND: Healthcare professionals provide care to patients and during that process, record large quantities of data in patient records. Data in an Electronic Health Record should ideally be recorded once and be reusable within the care process as well as for secondary purposes. A common approach to realise this is to let healthcare providers record data in a standardised and structured way at the point of care. Currently, it is not clear to what extent this structured and standardised recording has been adopted by healthcare professionals and what barriers to their adoption exist. Therefore, we developed and validated a multivariable model to capture the concepts underlying the adoption of structured and standardised recording among healthcare professionals. METHODS: Based on separate models from the literature we developed a new theoretical model describing the underlying concepts of the adoption of structured and standardised recording. Using a questionnaire built upon this model we gathered data to perform a summative validation of our model. Validation was done through partial least squares structural equation modelling (PLS-SEM). The quality of both levels defined in PLS-SEM analysis, i.e., the measurement model and the structural model, were assessed on performance measures defined in literature. RESULTS: The theoretical model we developed consists of 29 concepts related to information systems as well as organisational factors and personal beliefs. Based on these concepts, 59 statements with a 5 point Likert-scale (fully disagree to fully agree) were specified in the questionnaire. We received 3584 responses. The validation shows our model is supported to a large extent by the questionnaire data. Intention to record in a structured and standardised way emerged as a significant factor of reported behaviour (β = 0.305, p < 0.001). This intention is influenced most by attitude (β = 0.512, p < 0.001). CONCLUSIONS: This model can be used to measure the perceived level of adoption of structured and standardised recording among healthcare professionals and further improve knowledge on the barriers and facilitators of this adoption. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12911-018-0640-8) contains supplementary material, which is available to authorized users. BioMed Central 2018-06-28 /pmc/articles/PMC6027789/ /pubmed/29954388 http://dx.doi.org/10.1186/s12911-018-0640-8 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Joukes, Erik
Cornet, Ronald
de Bruijne, Martine C.
de Keizer, Nicolette F.
Abu-Hanna, Ameen
Development and validation of a model for the adoption of structured and standardised data recording among healthcare professionals
title Development and validation of a model for the adoption of structured and standardised data recording among healthcare professionals
title_full Development and validation of a model for the adoption of structured and standardised data recording among healthcare professionals
title_fullStr Development and validation of a model for the adoption of structured and standardised data recording among healthcare professionals
title_full_unstemmed Development and validation of a model for the adoption of structured and standardised data recording among healthcare professionals
title_short Development and validation of a model for the adoption of structured and standardised data recording among healthcare professionals
title_sort development and validation of a model for the adoption of structured and standardised data recording among healthcare professionals
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6027789/
https://www.ncbi.nlm.nih.gov/pubmed/29954388
http://dx.doi.org/10.1186/s12911-018-0640-8
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