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Article: Effect of Adding Personalized Instant Messaging Apps to a Brief Smoking Cessation Model in Community Smokers in Hong Kong: Pragmatic Randomized Clinical Trial
Title | Effect of Adding Personalized Instant Messaging Apps to a Brief Smoking Cessation Model in Community Smokers in Hong Kong: Pragmatic Randomized Clinical Trial |
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Authors | |
Keywords | chatting community smoker COVID-19 instant messaging smoking cessation text messaging |
Issue Date | 13-May-2024 |
Publisher | JMIR Publications |
Citation | Journal of Medical Internet Research, 2024, v. 26, p. e44973 How to Cite? |
Abstract | Background: While text messaging has proven effective for smoking cessation (SC), engagement in the intervention remains suboptimal. Objective: This study aims to evaluate whether using more interactive and adaptive instant messaging (IM) apps on smartphones, which enable personalization and chatting with SC advisors, can enhance SC outcomes beyond the provision of brief SC advice and active referral (AR) to SC services. Methods: From December 2018 to November 2019, we proactively recruited 700 adult Chinese daily cigarette users in Hong Kong. Participants were randomized in a 1:1 ratio. At baseline, all participants received face-to-face brief advice on SC. Additionally, they were introduced to local SC services and assisted in selecting one. The intervention group received an additional 26 personalized regular messages and access to interactive chatting through IM apps for 3 months. The regular messages aimed to enhance self-efficacy, social support, and behavioral capacity for quitting, as well as to clarify outcome expectations related to cessation. We developed 3 sets of messages tailored to the planned quit date (within 30 days, 60 days, and undecided). Participants in the intervention group could initiate chatting with SC advisors on IM themselves or through prompts from regular messages or proactive inquiries from SC advisors. The control group received 26 SMS text messages focusing on general health. The primary outcomes were smoking abstinence validated by carbon monoxide levels of <4 parts per million at 6 and 12 months after the start of the intervention. Results: Of the participants, 505/700 (72.1%) were male, and 450/648 (69.4%) were aged 40 or above. Planning to quit within 30 days was reported by 500/648 (77.2%) participants, with fewer intervention group members (124/332, 37.3%) reporting previous quit attempts compared with the control group (152/335, 45.4%; P=.04). At the 6- and 12-month follow-ups (with retention rates of 456/700, 65.1%, and 446/700, 63.7%, respectively), validated abstinence rates were comparable between the intervention (14/350, 4.0%, and 19/350, 5.4%) and control (11/350, 3.1% and 21/350, 6.0%) groups. Compared with the control group, the intervention group reported greater utilization of SC services at 12 months (RR 1.26, 95% CI 1.01-1.56). Within the intervention group, engaging in chat sessions with SC advisors predicted better validated abstinence at 6 months (RR 3.29, 95% CI 1.13-9.63) and any use of SC services (RR 1.66, 95% CI 1.14-2.43 at 6 months; RR 1.67, 95% CI 1.26-2.23 at 12 months). Conclusions: An IM-based intervention, providing support and assistance alongside brief SC advice and AR, did not yield further increases in quitting rates but did encourage the utilization of SC services. Future research could explore whether enhanced SC service utilization leads to improved long-term SC outcomes. |
Persistent Identifier | http://hdl.handle.net/10722/344005 |
ISSN | 2023 SCImago Journal Rankings: 2.020 |
DC Field | Value | Language |
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dc.contributor.author | Wu, Yongda Socrates | - |
dc.contributor.author | Cheung, Yee Tak Derek | - |
dc.contributor.author | Lee, Jay Jung Jae | - |
dc.contributor.author | Wong, Carlos King Ho | - |
dc.contributor.author | Ho, Sai Yin | - |
dc.contributor.author | Li, William Ho Cheung | - |
dc.contributor.author | Yao, Ying | - |
dc.contributor.author | Lam, Tai Hing | - |
dc.contributor.author | Wang, Man Ping | - |
dc.date.accessioned | 2024-06-25T03:29:44Z | - |
dc.date.available | 2024-06-25T03:29:44Z | - |
dc.date.issued | 2024-05-13 | - |
dc.identifier.citation | Journal of Medical Internet Research, 2024, v. 26, p. e44973 | - |
dc.identifier.issn | 1439-4456 | - |
dc.identifier.uri | http://hdl.handle.net/10722/344005 | - |
dc.description.abstract | <p><strong>Background: </strong>While text messaging has proven effective for smoking cessation (SC), engagement in the intervention remains suboptimal.</p><p><strong>Objective: </strong>This study aims to evaluate whether using more interactive and adaptive instant messaging (IM) apps on smartphones, which enable personalization and chatting with SC advisors, can enhance SC outcomes beyond the provision of brief SC advice and active referral (AR) to SC services.</p><p><strong>Methods: </strong>From December 2018 to November 2019, we proactively recruited 700 adult Chinese daily cigarette users in Hong Kong. Participants were randomized in a 1:1 ratio. At baseline, all participants received face-to-face brief advice on SC. Additionally, they were introduced to local SC services and assisted in selecting one. The intervention group received an additional 26 personalized regular messages and access to interactive chatting through IM apps for 3 months. The regular messages aimed to enhance self-efficacy, social support, and behavioral capacity for quitting, as well as to clarify outcome expectations related to cessation. We developed 3 sets of messages tailored to the planned quit date (within 30 days, 60 days, and undecided). Participants in the intervention group could initiate chatting with SC advisors on IM themselves or through prompts from regular messages or proactive inquiries from SC advisors. The control group received 26 SMS text messages focusing on general health. The primary outcomes were smoking abstinence validated by carbon monoxide levels of <4 parts per million at 6 and 12 months after the start of the intervention.</p><p><strong>Results: </strong>Of the participants, 505/700 (72.1%) were male, and 450/648 (69.4%) were aged 40 or above. Planning to quit within 30 days was reported by 500/648 (77.2%) participants, with fewer intervention group members (124/332, 37.3%) reporting previous quit attempts compared with the control group (152/335, 45.4%; P=.04). At the 6- and 12-month follow-ups (with retention rates of 456/700, 65.1%, and 446/700, 63.7%, respectively), validated abstinence rates were comparable between the intervention (14/350, 4.0%, and 19/350, 5.4%) and control (11/350, 3.1% and 21/350, 6.0%) groups. Compared with the control group, the intervention group reported greater utilization of SC services at 12 months (RR 1.26, 95% CI 1.01-1.56). Within the intervention group, engaging in chat sessions with SC advisors predicted better validated abstinence at 6 months (RR 3.29, 95% CI 1.13-9.63) and any use of SC services (RR 1.66, 95% CI 1.14-2.43 at 6 months; RR 1.67, 95% CI 1.26-2.23 at 12 months).</p><p><strong>Conclusions: </strong>An IM-based intervention, providing support and assistance alongside brief SC advice and AR, did not yield further increases in quitting rates but did encourage the utilization of SC services. Future research could explore whether enhanced SC service utilization leads to improved long-term SC outcomes.</p> | - |
dc.language | eng | - |
dc.publisher | JMIR Publications | - |
dc.relation.ispartof | Journal of Medical Internet Research | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.subject | chatting | - |
dc.subject | community smoker | - |
dc.subject | COVID-19 | - |
dc.subject | instant messaging | - |
dc.subject | smoking cessation | - |
dc.subject | text messaging | - |
dc.title | Effect of Adding Personalized Instant Messaging Apps to a Brief Smoking Cessation Model in Community Smokers in Hong Kong: Pragmatic Randomized Clinical Trial | - |
dc.type | Article | - |
dc.identifier.doi | 10.2196/44973 | - |
dc.identifier.scopus | eid_2-s2.0-85192897273 | - |
dc.identifier.volume | 26 | - |
dc.identifier.spage | e44973 | - |
dc.identifier.eissn | 1438-8871 | - |
dc.identifier.issnl | 1438-8871 | - |