All submissions of the EM system will be redirected to Online Manuscript Submission System. Authors are requested to submit articles directly to Online Manuscript Submission System of respective journal.
Koel Ghorai* and Pradeep Ray
 
School of Public Health and Community Medicine, University of New South Wales, Sydney, Australia, Email: [email protected]
 
*Correspondence: Koel Ghorai, School of Public Health and Community Medicine, University of New South Wales, Sydney, Australia, Email: [email protected]

Received Date: Nov 14, 2018 / Accepted Date: Apr 01, 2019 / Published Date: Apr 08, 2019

This open-access article is distributed under the terms of the Creative Commons Attribution Non-Commercial License (CC BY-NC) (http://creativecommons.org/licenses/by-nc/4.0/), which permits reuse, distribution and reproduction of the article, provided that the original work is properly cited and the reuse is restricted to noncommercial purposes. For commercial reuse, contact [email protected]

Abstract

With the growing demand for mobile based interventions in healthcare, use of smartphone applications for disease management and prevention, especially non communicable diseases like chronic respiratory diseases, diabetes, and hypertension are on the rise. Tobacco use or smoking is the leading preventable risk factor for NCDs (Non Communicable Diseases). Although an innovative mobile based multi-feature service can be a potential tool for smokers to help them quit smoking, it is also necessary to investigate the level of acceptance as well as the factors leading to the acceptance of such a service. This study identifies some of the factors that influence acceptance of such a smartphone based multi-feature service for smoking cessation. The study utilizes the Unified Theory of Acceptance and Use of Technology (UTAUT) as the theoretical model, along with Partial Least Square (PLS) analysis. The findings indicate that factors like “performance expectancy”, “facilitating conditions”, “effort expectancy” and “Social influence” are significant determinants of intention and use of the smartphone based multi-feature service.