M-Health/E-Health 2019
DOI: 10.1183/13993003.congress-2019.pa2237
|View full text |Cite
|
Sign up to set email alerts
|

Use of a mobile App to give up smoking. Results from a clinical trial

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
3
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
5

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(3 citation statements)
references
References 0 publications
0
3
0
Order By: Relevance
“…There are several smoking cessation apps on the market, but their effectiveness for successful smoking cessation is inconclusive [36]. Some single studies have found effects [37][38][39]. Their potential as a tool in smoking cessation is considered to be high, with low cost, high reach, and a "choice architecture" potential, i.e., they are capable of influencing individual decision-making in social environments where choices need to be made [40].…”
Section: Discussionmentioning
confidence: 99%
“…There are several smoking cessation apps on the market, but their effectiveness for successful smoking cessation is inconclusive [36]. Some single studies have found effects [37][38][39]. Their potential as a tool in smoking cessation is considered to be high, with low cost, high reach, and a "choice architecture" potential, i.e., they are capable of influencing individual decision-making in social environments where choices need to be made [40].…”
Section: Discussionmentioning
confidence: 99%
“… Olano 2022 16 Spain 209:304 49.8 ± 10.82 242:271 Dejal@bot Usual care Yes Yes 6 month continuous quit rate 26.0%:18.8% Dejal@bot In terms of variables related to intervention intensity, the mean total interaction time with the patients was 21.2 min (SD 18.3; 95% CI 19.0–23.4) in the CG and 121 min (SD 157.5; 95% CI 121.1–140.0) in the IG (p < 0.001), and the mean number of contacts was 2.92 (SD 1.89) in the CG and 45.56 (SD 36.32) in the IG (p < 0.001) Pechmann 2017 40 USA 42:118 35.7 ± 9.9 65:70 Tweet2Quit Usual care Yes No sustained abstinence out to 60 days post-quit date 40.0%:20.0% Tweet2Quit Participants randomised to Tweet2Quit averaged 58.8 tweets/participant and the average tweeting duration was 47.4 days/participant. Sanchez 2019 41 European 49:46 50.3 ± 9.08 52:45 Smartphone application Usual care Yes Yes 7-day point prevalence abstinence at 12 months 64.7%:40.9% Smartphone application Schwaninger 2021 42 Switzerland 89:73 31.3 ± 10.9 81:81 Dyadic Buddy App Usual care No Yes 6 month continuous quit rate 22.2%:13.6% Dyadic Buddy App Shuter 2014 43 USA 76:60 45.9 ± 10.0:45.4 ± 9.9 69:69 Website Standard care Yes Yes 7-day point prevalence abstinence at 3 months 10.1%:4.3% Website PSFW subjects logged into a mean of 5.5 of 8 sessions and 26.2 of 41 pages. They executed a mean of 10 interactive clicks during a mean total of 59.8 min logged in.…”
Section: Resultsmentioning
confidence: 99%
“…The use of the app meant children performed spirometry unknowingly, and optimal performance was incentivised, in an intuitive and fun way. PUIG SANCHEZ et al [26] presented trial results comparing a newly developed stop smoking app to usual care. It included motivational texts upon request and mini-games, which patients could start when they felt the need for a smoke.…”
Section: Health Appsmentioning
confidence: 99%