Kayode Philip Fadahunsi1, Siobhan O'Connor2, James Tosin Akinlua3, Petra A Wark3,4, Joseph Gallagher5, Christopher Carroll6, Josip Car1,7, Azeem Majeed1, John O'Donoghue8,9. 1. Department of Public Health and Primary Care, Imperial College London, The Reynolds BuildingSt. Dunstan's Road, London, GB. 2. School of Health in Social Science, The University of Edinburgh, Edinburgh, GB. 3. Department of Primary Care and Population Health Sciences, University College London, London, GB. 4. Centre for Intelligent Healthcare, Institute of Health and Wellbeing, Coventry University, Coventry, GB. 5. gHealth Research Group, School of Medicine, University College Dublin, Dublin, IE. 6. Health Economics and Decision Science, School of Health and Related Research, The University of Sheffield, Sheffield, GB. 7. Centre for Population Health Sciences, LKC Medicine, Nayang Technological University, Sungapore, SG. 8. Malawi eHealth Research Centre, University College Cork, Cork, IE. 9. ASSERT Research Centre, University College Cork, Cork, IE.
Abstract
BACKGROUND: Digital Health Technologies (DHTs) generate large volume of information used in healthcare for administrative, educational, research and clinical purposes. Clinical use of digital information for diagnostic, therapeutic and prognostic purposes has multiple patient safety problems; some of which result from poor information quality. OBJECTIVE: The aim of this systematic review was to synthesize an Information Quality (IQ) framework which could be used to evaluate the extent to which digital health information is fit for clinical purposes. METHODS: The review was conducted based on PRISMA guidelines (PROSPERO CRD42018097142). We searched EMBASE, Medline, PubMed, CINAHL, Maternity and Infant Care, PsycINFO, Global Health, ProQuest Dissertations and Theses Global, Scopus and HMIC from inception until October 2019. Multi-dimensional IQ frameworks for assessing DHTs used in clinical context by healthcare professionals were included. Thematic synthesis approach was employed to synthesize the Clinical Information Quality (CLIQ) Framework for Digital Health. RESULTS: We identified ten existing IQ frameworks from which we developed the CLIQ Framework for Digital Health with thirteen unique dimensions - accessibility, completeness, portability, security, timeliness, accuracy, interpretability, plausibility, provenance, relevance, conformance, consistency and maintainability; categorised into three meaningful categories - availability, informativeness and usability. CONCLUSIONS: This systematic review highlights the importance of IQ of DHTs and its relevance to patient safety. The CLIQ Framework for Digital Health will be useful in evaluating and conceptualizing IQ issues associated with digital health, thus forestalling potential patient safety problems. INTERNATIONAL REGISTERED REPORT: RR2-http://dx.doi.org/10.1136/bmjopen-2018-024722.
BACKGROUND: Digital Health Technologies (DHTs) generate large volume of information used in healthcare for administrative, educational, research and clinical purposes. Clinical use of digital information for diagnostic, therapeutic and prognostic purposes has multiple patient safety problems; some of which result from poor information quality. OBJECTIVE: The aim of this systematic review was to synthesize an Information Quality (IQ) framework which could be used to evaluate the extent to which digital health information is fit for clinical purposes. METHODS: The review was conducted based on PRISMA guidelines (PROSPERO CRD42018097142). We searched EMBASE, Medline, PubMed, CINAHL, Maternity and Infant Care, PsycINFO, Global Health, ProQuest Dissertations and Theses Global, Scopus and HMIC from inception until October 2019. Multi-dimensional IQ frameworks for assessing DHTs used in clinical context by healthcare professionals were included. Thematic synthesis approach was employed to synthesize the Clinical Information Quality (CLIQ) Framework for Digital Health. RESULTS: We identified ten existing IQ frameworks from which we developed the CLIQ Framework for Digital Health with thirteen unique dimensions - accessibility, completeness, portability, security, timeliness, accuracy, interpretability, plausibility, provenance, relevance, conformance, consistency and maintainability; categorised into three meaningful categories - availability, informativeness and usability. CONCLUSIONS: This systematic review highlights the importance of IQ of DHTs and its relevance to patient safety. The CLIQ Framework for Digital Health will be useful in evaluating and conceptualizing IQ issues associated with digital health, thus forestalling potential patient safety problems. INTERNATIONAL REGISTERED REPORT: RR2-http://dx.doi.org/10.1136/bmjopen-2018-024722.
Authors: Kayode Philip Fadahunsi; Petra A Wark; Nikolaos Mastellos; Joseph Gallagher; Azeem Majeed; Josip Car Journal: BMJ Open Date: 2022-04-22 Impact factor: 3.006