Rates of Attrition and Dropout in App-Based Interventions for Chronic Disease: Systematic Review and Meta-Analysis
University of Wollongong · Sydney Local Health District · +4 more institutions
Abstract
Background Chronic disease represents a large and growing burden to the health care system worldwide. One method of managing this burden is the use of app-based interventions; however attrition, defined as lack of patient use of the intervention, is an issue for these interventions. While many apps have been developed, there is some evidence that they have significant issues with sustained use, with up to 98% of people only using the app for a short time before dropping out and/or dropping use down to the point where the app is no longer effective at helping to manage disease. Objective Our objectives are to systematically appraise and perform a meta-analysis on dropout rates in apps for chronic disease and to…
Citation impact
- FWCI
- 61.40
- Percentile
- 100%
- References
- 30
Authors
6- GMGideon Meyerowitz‐KatzCorresponding
University of Wollongong, Sydney Local Health District
- SRSumathy Ravi
Sydney Local Health District
- LALeonard Arnolda
University of Wollongong, Illawarra Health and Medical Research Institute
- XFXiaoqi Feng
The University of Sydney, University of Wollongong, UNSW Sydney, Menzies School of Health Research
- GMGlen Maberly
The University of Sydney, Menzies School of Health Research, Sydney Local Health District
Topics & keywords
- Dropout (neural networks)
- Attrition
- Meta-analysis
- Psychological intervention
- Systematic review
- Psychology
- Medicine
- Computer science