TY - JOUR
T1 - Protocol for a systematic review and qualitative synthesis of information quality frameworks in eHealth
AU - Fadahunsi, Kayode Philip
AU - Akinlua, James Tosin
AU - O'Connor, Siobhan
AU - Wark, Petra A.
AU - Gallagher, Joseph
AU - Carroll, Christopher
AU - Majeed, Azeem
AU - O'Donoghue, John
N1 - Publisher Copyright:
© Author(s) (or their employer(s)) 2019.
PY - 2019/3/1
Y1 - 2019/3/1
N2 - 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.
AB - 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.
KW - health informatics
KW - information quality
KW - quality in health care
KW - systematic review
KW - telemedicine
UR - http://www.scopus.com/inward/record.url?scp=85062584836&partnerID=8YFLogxK
U2 - 10.1136/bmjopen-2018-024722
DO - 10.1136/bmjopen-2018-024722
M3 - Article
C2 - 30842114
AN - SCOPUS:85062584836
SN - 2044-6055
VL - 9
SP - e024722
JO - BMJ Open
JF - BMJ Open
IS - 3
M1 - e024722
ER -