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Protocol for a systematic review and qualitative synthesis of information quality frameworks in eHealth
INTRODUCTION: Electronic health (eHealth) applications have become a very large repository of health information which informs critical decisions relating to the diagnosis, treatment and prognosis of patients. Poor information quality (IQ) within eHealth may compromise patient safety. Evaluation of...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6429947/ https://www.ncbi.nlm.nih.gov/pubmed/30842114 http://dx.doi.org/10.1136/bmjopen-2018-024722 |
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author | Fadahunsi, Kayode Philip Akinlua, James Tosin O’Connor, Siobhan Wark, Petra A Gallagher, Joseph Carroll, Christopher Majeed, Azeem O’Donoghue, John |
author_facet | Fadahunsi, Kayode Philip Akinlua, James Tosin O’Connor, Siobhan Wark, Petra A Gallagher, Joseph Carroll, Christopher Majeed, Azeem O’Donoghue, John |
author_sort | Fadahunsi, Kayode Philip |
collection | PubMed |
description | INTRODUCTION: Electronic health (eHealth) applications have become a very large repository of health information which informs critical decisions relating to the diagnosis, treatment and prognosis of patients. Poor information quality (IQ) within eHealth may compromise patient safety. Evaluation of IQ in eHealth is therefore necessary to promote patient safety. An IQ framework specifies what aspects of information to assess and how to conduct the assessment. This systematic review aims to identify dimensions within existing IQ frameworks in eHealth and develop a new IQ framework for the assessment of eHealth. METHOD AND ANALYSIS: We will search Embase, Medline, PubMed, Cumulative Index to Nursing and Allied Health Literature, Maternity and Infant Care, PsycINFO (American Psychological Association), Global Health, Scopus, ProQuest Dissertations and Theses Global, Health Management Information Consortium and reference lists of relevant publications for articles published in English until November 2018. Studies will be selected by two independent reviewers based on prespecified eligibility criteria. Two reviewers will independently extract data in each eligible study using a prepiloted Microsoft Excel data extraction form. Thematic synthesis will be employed to define IQ dimensions and develop a new IQ framework for eHealth. ETHICS AND DISSEMINATION: Ethical approval is not required for this systematic review as primary data will not be collected. The result of the review will be disseminated through publication in an academic journal and scientific conferences. PROSPERO REGISTRATION NUMBER: CRD42018097142. |
format | Online Article Text |
id | pubmed-6429947 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-64299472019-04-05 Protocol for a systematic review and qualitative synthesis of information quality frameworks in eHealth Fadahunsi, Kayode Philip Akinlua, James Tosin O’Connor, Siobhan Wark, Petra A Gallagher, Joseph Carroll, Christopher Majeed, Azeem O’Donoghue, John BMJ Open Public Health INTRODUCTION: Electronic health (eHealth) applications have become a very large repository of health information which informs critical decisions relating to the diagnosis, treatment and prognosis of patients. Poor information quality (IQ) within eHealth may compromise patient safety. Evaluation of IQ in eHealth is therefore necessary to promote patient safety. An IQ framework specifies what aspects of information to assess and how to conduct the assessment. This systematic review aims to identify dimensions within existing IQ frameworks in eHealth and develop a new IQ framework for the assessment of eHealth. METHOD AND ANALYSIS: We will search Embase, Medline, PubMed, Cumulative Index to Nursing and Allied Health Literature, Maternity and Infant Care, PsycINFO (American Psychological Association), Global Health, Scopus, ProQuest Dissertations and Theses Global, Health Management Information Consortium and reference lists of relevant publications for articles published in English until November 2018. Studies will be selected by two independent reviewers based on prespecified eligibility criteria. Two reviewers will independently extract data in each eligible study using a prepiloted Microsoft Excel data extraction form. Thematic synthesis will be employed to define IQ dimensions and develop a new IQ framework for eHealth. ETHICS AND DISSEMINATION: Ethical approval is not required for this systematic review as primary data will not be collected. The result of the review will be disseminated through publication in an academic journal and scientific conferences. PROSPERO REGISTRATION NUMBER: CRD42018097142. BMJ Publishing Group 2019-03-05 /pmc/articles/PMC6429947/ /pubmed/30842114 http://dx.doi.org/10.1136/bmjopen-2018-024722 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Public Health Fadahunsi, Kayode Philip Akinlua, James Tosin O’Connor, Siobhan Wark, Petra A Gallagher, Joseph Carroll, Christopher Majeed, Azeem O’Donoghue, John Protocol for a systematic review and qualitative synthesis of information quality frameworks in eHealth |
title | Protocol for a systematic review and qualitative synthesis of information quality frameworks in eHealth |
title_full | Protocol for a systematic review and qualitative synthesis of information quality frameworks in eHealth |
title_fullStr | Protocol for a systematic review and qualitative synthesis of information quality frameworks in eHealth |
title_full_unstemmed | Protocol for a systematic review and qualitative synthesis of information quality frameworks in eHealth |
title_short | Protocol for a systematic review and qualitative synthesis of information quality frameworks in eHealth |
title_sort | protocol for a systematic review and qualitative synthesis of information quality frameworks in ehealth |
topic | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6429947/ https://www.ncbi.nlm.nih.gov/pubmed/30842114 http://dx.doi.org/10.1136/bmjopen-2018-024722 |
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