scholarly journals Attrition within digital health interventions for people with multiple sclerosis: systematic review and meta-analysis (Preprint)

Author(s):  
William Bevens ◽  
Kathleen Gray ◽  
George Alexander Jelinek ◽  
Tracey Weiland ◽  
Steve Simpson-Yap
2021 ◽  
Author(s):  
William Bevens

BACKGROUND Digital health interventions (DHI) have revolutionised the management of multiple sclerosis (MS). It is now understood that the technological elements that comprise DHIs can influence participant engagement and that people with MS (PwMS) can experience significant barriers to remaining enrolled in DHIs related to the use of these elements. It is essential to explore the influence of technological elements in mitigating attrition after allocation. OBJECTIVE We examined the study design and technological elements of documented DHIs targeted at PwMS and how these correlated with attrition among participants of randomised-controlled trials (RCTs). METHODS We conducted a systematic review and meta-analysis of RCTs (n=17) describing digital technologies for health interventions for PwMS. We analysed attrition of included studies using a random-effects model and meta-regression to measure the association between potential moderators. RESULTS There were no measured differences in attrition between intervention and control arms; however, some of the heterogeneity observed was explained by the composite technological element score. The pooled attrition rates for the intervention and control arms were 10.6% and 11.2% respectively. CONCLUSIONS Ultimately, this paper provides insight into the technological composition of DHIs and will aid in the design of future studies in this area.


2015 ◽  
Vol 90 (4) ◽  
pp. 469-480 ◽  
Author(s):  
R. Jay Widmer ◽  
Nerissa M. Collins ◽  
C. Scott Collins ◽  
Colin P. West ◽  
Lilach O. Lerman ◽  
...  

2019 ◽  
Vol 21 (1) ◽  
pp. e298 ◽  
Author(s):  
Alline M Beleigoli ◽  
Andre Q Andrade ◽  
Alexandre G Cançado ◽  
Matheus NL Paulo ◽  
Maria De Fátima H Diniz ◽  
...  

2021 ◽  
pp. 1-16
Author(s):  
Samar A. Zailaie ◽  
Jumana Jamal Siddiqui ◽  
Rawan Mansour Al Saadi ◽  
Dalia Mohammad Anbari ◽  
Amani S. Alomari ◽  
...  

BMC Neurology ◽  
2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Nazanin Razazian ◽  
Mohsen Kazeminia ◽  
Hossein Moayedi ◽  
Alireza Daneshkhah ◽  
Shamarina Shohaimi ◽  
...  

2020 ◽  
pp. 152483802096734
Author(s):  
Mengtong Chen ◽  
Ko Ling Chan

Digital technologies are increasingly used in health-care delivery and are being introduced into work to prevent unintentional injury, violence, and suicide to reduce mortality. To understand the potential of digital health interventions (DHIs) to prevent and reduce these problems, we conduct a meta-analysis and provide an overview of their effectiveness and characteristics related to the effects. We searched electronic databases and reference lists of relevant reviews to identify randomized controlled trials (RCTs) published in or before March 2020 evaluating DHIs on injury, violence, or suicide reduction. Based on the 34 RCT studies included in the meta-analysis, the overall random effect size was 0.21, and the effect sizes for reducing suicidal ideation, interpersonal violence, and unintentional injury were 0.17, 0.24, and 0.31, respectively, which can be regarded as comparable to the effect sizes of traditional face-to-face interventions. However, there was considerable heterogeneity between the studies. In conclusion, DHIs have great potential to reduce unintentional injury, violence, and suicide. Future research should explore DHIs’ successful components to facilitate future implementation and wider access.


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