Protocol for a systematic review and qualitative synthesis of information quality frameworks in eHealth.

Autor:	Fadahunsi KP; Department of Primary Care and Public Health, Imperial College London, London, UK.; Department of Hospital Services, Federal Ministry of Health, Abuja, Nigeria., Akinlua JT; Department of Primary Care and Population Health, University College London, London, UK., O'Connor S; School of Health in Social Science, The University of Edinburgh, Edinburgh, UK., Wark PA; Department of Primary Care and Public Health, Imperial College London, London, UK.; Centre for Innovative Research Across the Life Course, Coventry University, Coventry, UK., Gallagher J; gHealth Research Group, School of Medicine, University College Dublin, Dublin, Ireland., Carroll C; Health Economics and Decision Science, School of Health and Related Research, University of Sheffield, Sheffield, UK., Majeed A; Department of Primary Care and Public Health, Imperial College London, London, UK., O'Donoghue J; Department of Primary Care and Public Health, Imperial College London, London, UK.; Malawi eHealth Research Centre, University College Cork, Cork, Ireland.
Jazyk:	angličtina
Zdroj:	BMJ open [BMJ Open] 2019 Mar 05; Vol. 9 (3), pp. e024722. Date of Electronic Publication: 2019 Mar 05.
DOI:	10.1136/bmjopen-2018-024722
Abstrakt:	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. Competing Interests: Competing interests: None declared. (© 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.)
Databáze:	MEDLINE
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