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Developing a Minimum Data Set (MDS) for Cardiac Electronic Implantable Devices Implantation

BACKGROUND: There is no established minimum data set (MDS) for cardiovascular implantable electronic devices (CIEDs), which have led to a lack of standardized assessment criteria in this field to ensure access to a reliable and coherent set of data. OBJECTIVE: To establish the minimum data set of CI...

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Autores principales: Kazemi-Arpanahi, Hadi, Vasheghani-Farahani, Ali, Baradaran, Abdolvahab, Mohammadzadeh, Nilofar, Ghazisaeedi, Marjan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Academy of Medical sciences 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6195396/
https://www.ncbi.nlm.nih.gov/pubmed/30515006
http://dx.doi.org/10.5455/aim.2018.26.164-168
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author Kazemi-Arpanahi, Hadi
Vasheghani-Farahani, Ali
Baradaran, Abdolvahab
Mohammadzadeh, Nilofar
Ghazisaeedi, Marjan
author_facet Kazemi-Arpanahi, Hadi
Vasheghani-Farahani, Ali
Baradaran, Abdolvahab
Mohammadzadeh, Nilofar
Ghazisaeedi, Marjan
author_sort Kazemi-Arpanahi, Hadi
collection PubMed
description BACKGROUND: There is no established minimum data set (MDS) for cardiovascular implantable electronic devices (CIEDs), which have led to a lack of standardized assessment criteria in this field to ensure access to a reliable and coherent set of data. OBJECTIVE: To establish the minimum data set of CIEDs implantation that enables consistency in data gathering, uniform data reporting and data exchange in clinical and research information systems. METHODS: This descriptive and cross-sectional study was conducted in 2018. That comprised a literature review to provide an overview of cardiovascular documents, registries, guidelines and medical record forms to extract an initial draft of potential data elements then asked from experts to review the initial draft of variables to score the items according to the importance perceived by them based on a five-point Likert scale. The items scored as important or highly important by at least 75% of the experts were included in the final list of minimum data set. RESULTS: Initial dataset were refined by experts and essential data elements was selected in eight data classes including administrative data, past medical history, sign and symptoms, physical examinations, laboratory results, procedure session, post procedure complications and discharge outcomes. For each category required variables and possible respondents where determined. CONCLUSIONS: The minimum dataset will facilitate standardized and effective data management of CIEDs implantation; and presents a platform for meaningful comparison across contexts.
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spelling pubmed-61953962018-12-04 Developing a Minimum Data Set (MDS) for Cardiac Electronic Implantable Devices Implantation Kazemi-Arpanahi, Hadi Vasheghani-Farahani, Ali Baradaran, Abdolvahab Mohammadzadeh, Nilofar Ghazisaeedi, Marjan Acta Inform Med Original Paper BACKGROUND: There is no established minimum data set (MDS) for cardiovascular implantable electronic devices (CIEDs), which have led to a lack of standardized assessment criteria in this field to ensure access to a reliable and coherent set of data. OBJECTIVE: To establish the minimum data set of CIEDs implantation that enables consistency in data gathering, uniform data reporting and data exchange in clinical and research information systems. METHODS: This descriptive and cross-sectional study was conducted in 2018. That comprised a literature review to provide an overview of cardiovascular documents, registries, guidelines and medical record forms to extract an initial draft of potential data elements then asked from experts to review the initial draft of variables to score the items according to the importance perceived by them based on a five-point Likert scale. The items scored as important or highly important by at least 75% of the experts were included in the final list of minimum data set. RESULTS: Initial dataset were refined by experts and essential data elements was selected in eight data classes including administrative data, past medical history, sign and symptoms, physical examinations, laboratory results, procedure session, post procedure complications and discharge outcomes. For each category required variables and possible respondents where determined. CONCLUSIONS: The minimum dataset will facilitate standardized and effective data management of CIEDs implantation; and presents a platform for meaningful comparison across contexts. Academy of Medical sciences 2018-10 /pmc/articles/PMC6195396/ /pubmed/30515006 http://dx.doi.org/10.5455/aim.2018.26.164-168 Text en © 2018 Hadi Kazemi-Arpanahi, Ali Vasheghani-Farahani, Abdolvahab Baradaran, Nilofar Mohammadzadeh, Marjan Ghazisaeedi http://creativecommons.org/licenses/by-nc/4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Paper
Kazemi-Arpanahi, Hadi
Vasheghani-Farahani, Ali
Baradaran, Abdolvahab
Mohammadzadeh, Nilofar
Ghazisaeedi, Marjan
Developing a Minimum Data Set (MDS) for Cardiac Electronic Implantable Devices Implantation
title Developing a Minimum Data Set (MDS) for Cardiac Electronic Implantable Devices Implantation
title_full Developing a Minimum Data Set (MDS) for Cardiac Electronic Implantable Devices Implantation
title_fullStr Developing a Minimum Data Set (MDS) for Cardiac Electronic Implantable Devices Implantation
title_full_unstemmed Developing a Minimum Data Set (MDS) for Cardiac Electronic Implantable Devices Implantation
title_short Developing a Minimum Data Set (MDS) for Cardiac Electronic Implantable Devices Implantation
title_sort developing a minimum data set (mds) for cardiac electronic implantable devices implantation
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6195396/
https://www.ncbi.nlm.nih.gov/pubmed/30515006
http://dx.doi.org/10.5455/aim.2018.26.164-168
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