With the advent of digital therapeutics(DTx),the development of software as a medical device(SaMD)for mobile and wearable devices has gained significant attention in recent years.Existing DTx evaluations,such as rando...With the advent of digital therapeutics(DTx),the development of software as a medical device(SaMD)for mobile and wearable devices has gained significant attention in recent years.Existing DTx evaluations,such as randomized clinical trials,mostly focus on verifying the effectiveness of DTx products.To acquire a deeper understanding of DTx engagement and behavioral adherence,beyond efficacy,a large amount of contextual and interaction data from mobile and wearable devices during field deployment would be required for analysis.In this work,the overall flow of the data-driven DTx analytics is reviewed to help researchers and practitioners to explore DTx datasets,to investigate contextual patterns associated with DTx usage,and to establish the(causal)relationship between DTx engagement and behavioral adherence.This review of the key components of datadriven analytics provides novel research directions in the analysis of mobile sensor and interaction datasets,which helps to iteratively improve the receptivity of existing DTx.展开更多
Intervention based on“digital therapeutics”(DTs)to aid smoking cessation(SC)has developed in recent years.This systematic review and meta-analysis aimed to explore the efficacy of DTs in SC.Databases(PubMed,Embase,S...Intervention based on“digital therapeutics”(DTs)to aid smoking cessation(SC)has developed in recent years.This systematic review and meta-analysis aimed to explore the efficacy of DTs in SC.Databases(PubMed,Embase,Scopus,Institute of Electrical and Electronics Engineers Xplore,ClinicalTrials,Science Direct,Web of Science,China National Knowledge Infrastructure,Chinese Science and Technology Periodical Database,Wanfang,Cochrane Central Register of Controlled Trials)from inception to June 27,2022 were searched to collect randomized controlled trials focusing on use of DTs for SC.Revman 5.3 and Stata16 were used for meta-analysis.After literature screening,data extraction,and quality assessment by two researchers.33 studies(19,749 participants)were included.Compared with the control group,DTs significantly increased the prevalence of abstinence of smokers[OR=1.77,95%CI[1.39,2.26],p=0],significantly increased the point prevalence abstinence(PPA)[OR=1.45,95%CI[1.18,1.78],p=0],and improved participation in SC programs[OR=1.12,95%CI[1.01,1.24],p=0.038].Subgroup analysis showed that,among different intervention groups,the prevalence of DTs-assisted SC in chronic obstructive pulmonary disease(COPD)smokers was higher than that in other groups[OR=5.18,95%CI[1.49,18.05],p=0.001],the prevalence of WeChat-assisted SC in smokers was higher than that in other groups[OR=4.37,95%CI[2.21,8.67],p=0].This meta-analysis showed that DTs-assisted SC improved the prevalence of abstinence,PPA,and increased the participation of smokers in SC programs.展开更多
基金supported by Basic Science Research Program through the National Research Foundation of Korea(NRF)funded by the Korea government(MSIT)(2020R1A4A1018774)。
文摘With the advent of digital therapeutics(DTx),the development of software as a medical device(SaMD)for mobile and wearable devices has gained significant attention in recent years.Existing DTx evaluations,such as randomized clinical trials,mostly focus on verifying the effectiveness of DTx products.To acquire a deeper understanding of DTx engagement and behavioral adherence,beyond efficacy,a large amount of contextual and interaction data from mobile and wearable devices during field deployment would be required for analysis.In this work,the overall flow of the data-driven DTx analytics is reviewed to help researchers and practitioners to explore DTx datasets,to investigate contextual patterns associated with DTx usage,and to establish the(causal)relationship between DTx engagement and behavioral adherence.This review of the key components of datadriven analytics provides novel research directions in the analysis of mobile sensor and interaction datasets,which helps to iteratively improve the receptivity of existing DTx.
文摘Intervention based on“digital therapeutics”(DTs)to aid smoking cessation(SC)has developed in recent years.This systematic review and meta-analysis aimed to explore the efficacy of DTs in SC.Databases(PubMed,Embase,Scopus,Institute of Electrical and Electronics Engineers Xplore,ClinicalTrials,Science Direct,Web of Science,China National Knowledge Infrastructure,Chinese Science and Technology Periodical Database,Wanfang,Cochrane Central Register of Controlled Trials)from inception to June 27,2022 were searched to collect randomized controlled trials focusing on use of DTs for SC.Revman 5.3 and Stata16 were used for meta-analysis.After literature screening,data extraction,and quality assessment by two researchers.33 studies(19,749 participants)were included.Compared with the control group,DTs significantly increased the prevalence of abstinence of smokers[OR=1.77,95%CI[1.39,2.26],p=0],significantly increased the point prevalence abstinence(PPA)[OR=1.45,95%CI[1.18,1.78],p=0],and improved participation in SC programs[OR=1.12,95%CI[1.01,1.24],p=0.038].Subgroup analysis showed that,among different intervention groups,the prevalence of DTs-assisted SC in chronic obstructive pulmonary disease(COPD)smokers was higher than that in other groups[OR=5.18,95%CI[1.49,18.05],p=0.001],the prevalence of WeChat-assisted SC in smokers was higher than that in other groups[OR=4.37,95%CI[2.21,8.67],p=0].This meta-analysis showed that DTs-assisted SC improved the prevalence of abstinence,PPA,and increased the participation of smokers in SC programs.