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Protocol for a systematic review and qualitative synthesis of information quality frameworks in eHealth
  1. Kayode Philip Fadahunsi1,2,
  2. James Tosin Akinlua3,
  3. Siobhan O’Connor4,
  4. Petra A Wark1,5,
  5. Joseph Gallagher6,
  6. Christopher Carroll7,
  7. Azeem Majeed1,
  8. John O’Donoghue1,8
  1. 1 Department of Primary Care and Public Health, Imperial College London, London, UK
  2. 2 Department of Hospital Services, Federal Ministry of Health, Abuja, Nigeria
  3. 3 Department of Primary Care and Population Health, University College London, London, UK
  4. 4 School of Health in Social Science, The University of Edinburgh, Edinburgh, UK
  5. 5 Centre for Innovative Research Across the Life Course, Coventry University, Coventry, UK
  6. 6 gHealth Research Group, School of Medicine, University College Dublin, Dublin, Ireland
  7. 7 Health Economics and Decision Science, School of Health and Related Research, University of Sheffield, Sheffield, UK
  8. 8 Malawi eHealth Research Centre, University College Cork, Cork, Ireland
  1. Correspondence to Dr John O’Donoghue; john.odonoghue{at}


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.

  • health informatics
  • telemedicine
  • quality in health care
  • systematic review
  • information quality

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  • Contributors KPF and JO conceived the study. KPF drafted the protocol manuscript. JTA, SO, PAW, CC, AM, JG and JO revised the manuscript for important intellectual content; and contributed to the methodology including search strategy, study selection, data extraction and data analysis. AM is the clinical lead and JO is the guarantor of the review.

  • Funding The authors have not declared a specific grant for this research from any funding agency in the public, commercial or not-for-profit sectors.

  • Competing interests None declared.

  • Provenance and peer review Not commissioned; externally peer reviewed.

  • Patient consent for publication Not required.

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