FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3047292084> ?p ?o ?g. }

• W3047292084 endingPage "e20283" @default.
• W3047292084 startingPage "e20283" @default.
• W3047292084 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 qualitatively synthesize possible reasons for these dropout rates that could be addressed in future interventions. Methods MEDLINE (Medical Literature Analysis and Retrieval System Online), PubMed, Cochrane CENTRAL (Central Register of Controlled Trials), and Embase were searched from 2003 to the present to look at mobile health (mHealth) and attrition or dropout. Studies, either randomized controlled trials (RCTs) or observational trials, looking at chronic disease with measures of dropout were included. Meta-analysis of attrition rates was conducted in Stata, version 15.1 (StataCorp LLC). Included studies were also qualitatively synthesized to examine reasons for dropout and avenues for future research. Results Of 833 studies identified in the literature search, 17 were included in the review and meta-analysis. Out of 17 studies, 9 (53%) were RCTs and 8 (47%) were observational trials, with both types covering a range of chronic diseases. The pooled dropout rate was 43% (95% CI 29-57), with observational studies having a higher dropout rate (49%, 95% CI 27-70) than RCTs in more controlled scenarios, which only had a 40% dropout rate (95% CI 16-63). The studies were extremely varied, which is represented statistically in the high degree of heterogeneity (I2>99%). Qualitative synthesis revealed a range of reasons relating to attrition from app-based interventions, including social, demographic, and behavioral factors that could be addressed. Conclusions Dropout rates in mHealth interventions are high, but possible areas to minimize attrition exist. Reducing dropout rates will make these apps more effective for disease management in the long term. Trial Registration International Prospective Register of Systematic Reviews (PROSPERO) CRD42019128737; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42019128737" @default.
• W3047292084 created "2020-08-10" @default.
• W3047292084 creator A5002582126 @default.
• W3047292084 creator A5018253046 @default.
• W3047292084 creator A5044231561 @default.
• W3047292084 creator A5076726165 @default.
• W3047292084 creator A5078405679 @default.
• W3047292084 creator A5078694518 @default.
• W3047292084 date "2020-09-29" @default.
• W3047292084 modified "2023-10-14" @default.
• W3047292084 title "Rates of Attrition and Dropout in App-Based Interventions for Chronic Disease: Systematic Review and Meta-Analysis" @default.
• W3047292084 cites W1500501013 @default.
• W3047292084 cites W1560676854 @default.
• W3047292084 cites W1772010054 @default.
• W3047292084 cites W1975112860 @default.
• W3047292084 cites W2005148100 @default.
• W3047292084 cites W2019053050 @default.
• W3047292084 cites W2038327808 @default.
• W3047292084 cites W2054693505 @default.
• W3047292084 cites W2112751341 @default.
• W3047292084 cites W2144798030 @default.
• W3047292084 cites W2160865185 @default.
• W3047292084 cites W2166678637 @default.
• W3047292084 cites W2293865441 @default.
• W3047292084 cites W2418799169 @default.
• W3047292084 cites W2465401436 @default.
• W3047292084 cites W2526696543 @default.
• W3047292084 cites W2615354466 @default.
• W3047292084 cites W2713286207 @default.
• W3047292084 cites W2765245039 @default.
• W3047292084 cites W2766029560 @default.
• W3047292084 cites W2801300431 @default.
• W3047292084 cites W2802632848 @default.
• W3047292084 cites W2806592889 @default.
• W3047292084 cites W2883075826 @default.
• W3047292084 cites W2887240541 @default.
• W3047292084 cites W2890731358 @default.
• W3047292084 cites W2905260217 @default.
• W3047292084 cites W2938162430 @default.
• W3047292084 cites W2987985090 @default.
• W3047292084 cites W4245718936 @default.
• W3047292084 doi "https://doi.org/10.2196/20283" @default.
• W3047292084 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/7556375" @default.
• W3047292084 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/32990635" @default.
• W3047292084 hasPublicationYear "2020" @default.
• W3047292084 type Work @default.
• W3047292084 sameAs 3047292084 @default.
• W3047292084 citedByCount "181" @default.
• W3047292084 countsByYear W30472920842021 @default.
• W3047292084 countsByYear W30472920842022 @default.
• W3047292084 countsByYear W30472920842023 @default.
• W3047292084 crossrefType "journal-article" @default.
• W3047292084 hasAuthorship W3047292084A5002582126 @default.
• W3047292084 hasAuthorship W3047292084A5018253046 @default.
• W3047292084 hasAuthorship W3047292084A5044231561 @default.
• W3047292084 hasAuthorship W3047292084A5076726165 @default.
• W3047292084 hasAuthorship W3047292084A5078405679 @default.
• W3047292084 hasAuthorship W3047292084A5078694518 @default.
• W3047292084 hasBestOaLocation W30472920841 @default.
• W3047292084 hasConcept C119857082 @default.
• W3047292084 hasConcept C126322002 @default.
• W3047292084 hasConcept C159110408 @default.
• W3047292084 hasConcept C168563851 @default.
• W3047292084 hasConcept C17744445 @default.
• W3047292084 hasConcept C189708586 @default.
• W3047292084 hasConcept C199343813 @default.
• W3047292084 hasConcept C199539241 @default.
• W3047292084 hasConcept C23131810 @default.
• W3047292084 hasConcept C27415008 @default.
• W3047292084 hasConcept C2776145597 @default.
• W3047292084 hasConcept C2776478404 @default.
• W3047292084 hasConcept C2779363104 @default.
• W3047292084 hasConcept C2779473830 @default.
• W3047292084 hasConcept C2780553607 @default.
• W3047292084 hasConcept C41008148 @default.
• W3047292084 hasConcept C71924100 @default.
• W3047292084 hasConcept C95190672 @default.
• W3047292084 hasConceptScore W3047292084C119857082 @default.
• W3047292084 hasConceptScore W3047292084C126322002 @default.
• W3047292084 hasConceptScore W3047292084C159110408 @default.
• W3047292084 hasConceptScore W3047292084C168563851 @default.
• W3047292084 hasConceptScore W3047292084C17744445 @default.
• W3047292084 hasConceptScore W3047292084C189708586 @default.
• W3047292084 hasConceptScore W3047292084C199343813 @default.
• W3047292084 hasConceptScore W3047292084C199539241 @default.
• W3047292084 hasConceptScore W3047292084C23131810 @default.
• W3047292084 hasConceptScore W3047292084C27415008 @default.
• W3047292084 hasConceptScore W3047292084C2776145597 @default.
• W3047292084 hasConceptScore W3047292084C2776478404 @default.
• W3047292084 hasConceptScore W3047292084C2779363104 @default.
• W3047292084 hasConceptScore W3047292084C2779473830 @default.
• W3047292084 hasConceptScore W3047292084C2780553607 @default.
• W3047292084 hasConceptScore W3047292084C41008148 @default.
• W3047292084 hasConceptScore W3047292084C71924100 @default.
• W3047292084 hasConceptScore W3047292084C95190672 @default.
• W3047292084 hasIssue "9" @default.
• W3047292084 hasLocation W30472920841 @default.
• W3047292084 hasLocation W30472920842 @default.

• next