title: eHealth and the use of individually tailored information: A systematic review.
abstract: Tailored messages are those that specifically target individuals following an assessment of their unique characteristics. This systematic review assesses the evidence regarding the effectiveness of tailoring within eHealth interventions aimed at chronic disease management. OVID Medline/Embase databases were searched for randomised control trials, controlled clinical, trials, before -after studies, and time series analyses from inception - May 2014. Objectively measured clinical processes/outcomes were considered. Twenty-two papers were eligible for inclusion: 6/22 used fully tailored messaging and 16/22 used partially tailored messages. Two studies isolated tailoring as the active component. The remainder compared intervention with standard care. In all, 12/16 studies measuring clinical processes and 2/6 studies reporting clinical outcomes showed improvements, regardless of target group. Study quality was low and design did not allow for identification of interventions' active component. Heterogeneity precluded meta-analysis. This review has demonstrated that there is a lack of evidence to suggest that tailoring within an eHealth context confers benefit over non-tailored eHealth interventions.
authors.affiliation: University of Dundee, UK.
authors.forename: Nicholas
authors.initials: N
authors.lastname: Conway
authors.affiliation: NHS Tayside, UK.
authors.forename: Clare
authors.initials: C
authors.lastname: Webster
authors.affiliation: University of Dundee, UK.
authors.forename: Blair
authors.initials: B
authors.lastname: Smith
authors.affiliation: University of Dundee, UK.
authors.forename: Deborah
authors.initials: D
authors.lastname: Wake
mesh_terms: D006801:Humans; D007207:Individuation; D033181:Information Dissemination / Q000379:methods; D057226:Information Seeking Behavior; D010820:Physicians / Q000523:psychology; D017216:Telemedicine / Q000379:methods* / Q000592:standards*
keywords: clinical decision-making; decision-support systems; eHealth; evidence-based practice; information and knowledge management