Preferences of Iranian smokers regarding smart smoking cessation technologies: a parallel convergent mixed methods study

Abstract Background Considering the values and preferences of individuals who attempt to quit smoking is a crucial step in the development of smoking cessation technologies. This study aimed to explore preferences regarding smart smoking cessation technologies. Methods This parallel convergent mixed...

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Asıl Yazarlar: Mohammad Hasan Sahebihagh (Yazar), Mina Hosseinzadeh (Yazar), Mojgan Mirghafourvand (Yazar), Parvin Sarbakhsh (Yazar), Hossein Nemati (Yazar)
Materyal Türü: Kitap
Baskı/Yayın Bilgisi: BMC, 2024-08-01T00:00:00Z.
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042 |a dc 
100 1 0 |a Mohammad Hasan Sahebihagh  |e author 
700 1 0 |a Mina Hosseinzadeh  |e author 
700 1 0 |a Mojgan Mirghafourvand  |e author 
700 1 0 |a Parvin Sarbakhsh  |e author 
700 1 0 |a Hossein Nemati  |e author 
245 0 0 |a Preferences of Iranian smokers regarding smart smoking cessation technologies: a parallel convergent mixed methods study 
260 |b BMC,   |c 2024-08-01T00:00:00Z. 
500 |a 10.1186/s12889-024-19708-y 
500 |a 1471-2458 
520 |a Abstract Background Considering the values and preferences of individuals who attempt to quit smoking is a crucial step in the development of smoking cessation technologies. This study aimed to explore preferences regarding smart smoking cessation technologies. Methods This parallel convergent mixed-methods study was conducted in two phases: quantitative and qualitative. In the quantitative phase, a cross-sectional study was conducted with 360 participants selected through stratified random sampling from technology-based smoking cessation clinics in Tabriz, Tehran, and Karaj cities in Iran. Data on demographic characteristics and preferences for smart smoking cessation technologies were collected using questionnaires and analyzed using descriptive statistics. In the qualitative phase, 25 users of these technologies were selected through purposeful and snowball sampling. The data were gathered through in-depth semistructured interviews and analyzed using qualitative content analysis with a conventional approach. Quantitative and qualitative data were integrated using the merging strategy and convergence model. Results The quantitative phase results indicated that the highest preference was related to wearing and using a smartwatch for smoking cessation and using mobile apps. In the qualitative phase, 17 subcategories were extracted and classified into 8 main categories: high effectiveness, better management of the smoking cessation process, personalized technology, safe and uncomplicated technologies, attractiveness and innovative design, scientific basis, mobile applications, and smart monitoring devices. Conclusion By combining and integrating quantitative and qualitative results, it can be concluded that users are more interested in wearable technologies and interactive mobile applications. The findings of this study can assist smoking cessation technology developers in designing and improving their tools based on user needs and preferences to enhance their effectiveness and acceptability. 
546 |a EN 
690 |a Smoking cessation 
690 |a Smart technologies 
690 |a Preferences 
690 |a Mixed methods study 
690 |a Public aspects of medicine 
690 |a RA1-1270 
655 7 |a article  |2 local 
786 0 |n BMC Public Health, Vol 24, Iss 1, Pp 1-13 (2024) 
787 0 |n https://doi.org/10.1186/s12889-024-19708-y 
787 0 |n https://doaj.org/toc/1471-2458 
856 4 1 |u https://doaj.org/article/18b142e93cd04d2a9bf889f3014b3ad2  |z Connect to this object online.