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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...

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Detalles Bibliográficos
Autores principales: Fadahunsi, Kayode Philip, Akinlua, James Tosin, O’Connor, Siobhan, Wark, Petra A, Gallagher, Joseph, Carroll, Christopher, Majeed, Azeem, O’Donoghue, John
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2019
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
Descripción
Sumario: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.