15 research outputs found
Visual representation of reported effect direction of dietary and lifestyle mobile applications on participant reported outcomes.
Visual representation of reported effect direction of dietary and lifestyle mobile applications on participant reported outcomes.</p
Characteristics of study interventions and outcomes.
Characteristics of study interventions and outcomes.</p
Criteria used to assess the quality of the included studies.
Criteria used to assess the quality of the included studies.</p
Visual representation of reported effect direction of dietary and lifestyle mobile applications on clinical outcomes.
Visual representation of reported effect direction of dietary and lifestyle mobile applications on clinical outcomes.</p
Characteristics of included studies, process evaluations and developmental studies.
Characteristics of included studies, process evaluations and developmental studies.</p
Quality rating for the uncontrolled before-after studies.
Overall rating was rated as poor (0–4 as “yes”), fair (5–8 as “yes”), as good (9–12 as “yes”). A “fatal flaw” was defined as “no” for either questions 5 or 9.</p
Quality rating for the cohort and cross-sectional studies.
Overall quality rating was rated as poor (0–4 as “yes”), fair (5–10 as “yes”), as good (11–14 as “yes”).</p
Relevant study and trial registrations excluded from synthesis.
Relevant study and trial registrations excluded from synthesis.</p
Flow diagram of article selection.
A method of overcoming barriers associated with implementing lifestyle interventions in CKD may be through the use of eHealth technologies. The aim of this review was to provide an up-to-date overview of the literature on this topic. Four bibliographical databases, two trial registers, and one database for conference proceedings were searched from inception to August 2023. Studies were eligible if they reported a lifestyle intervention using eHealth technologies. A narrative synthesis of the findings from the included studies structured around the type of eHealth intervention was presented. Where a sufficient number of studies overlapped in terms of the type of intervention and outcome measure these were brought together in a direction of effect plot. There were 54 included articles, of which 23 were randomised controlled trials (RCTs). The main component of the intervention for the included studies was mobile applications (n = 23), with the majority being in the dialysis population (n = 22). The majority of eHealth interventions were reported to be feasible and acceptable to participants. However, there was limited evidence that they were efficacious in improving clinical outcomes with the exception of blood pressure, intradialytic weight gain, potassium, and sodium. Although eHealth interventions appear acceptable and feasible to participants, there is insufficient evidence to make recommendations for specific interventions to be implemented into clinical care. Properly powered RCTs which not only demonstrate efficacy, but also address barriers to implementation are needed to enhance widespread adoption.</div
Visual representation of reported effect direction of short messaging service (SMS) on clinical outcomes.
Visual representation of reported effect direction of short messaging service (SMS) on clinical outcomes.</p