Pechmann Cornelia, Pan Li, Delucchi Kevin, Lakon Cynthia M, Prochaska Judith J
University of California Irvine, The Paul Merage School of Business, Irvine, CA, United States.
J Med Internet Res. 2015 Feb 23;17(2):e50. doi: 10.2196/jmir.3772.
The medical field seeks to use social media to deliver health interventions, for example, to provide low-cost, self-directed, online self-help groups. However, engagement in online groups is often low and the informational content may be poor.
The specific study aims were to explore if sending automessages to online self-help groups encouraged engagement and to see if overall or specific types of engagement related to abstinence.
We conducted a Stage I Early Therapy Development Trial of a novel social media intervention for smoking cessation called Tweet2Quit that was delivered online over closed, 20-person quit-smoking groups on Twitter in 100 days. Social media such as Twitter traditionally involves non-directed peer-to-peer exchanges, but our hybrid social media intervention sought to increase and direct such exchanges by sending out two types of autocommunications daily: (1) an "automessage" that encouraged group discussion on an evidence-based cessation-related or community-building topic, and (2) individualized "autofeedback" to each participant on their past 24-hour tweeting. The intervention was purposefully designed without an expert group facilitator and with full automation to ensure low cost, easy implementation, and broad scalability. This purely Web-based trial examined two online quit-smoking groups with 20 members each. Participants were adult smokers who were interested in quitting and were recruited using Google AdWords. Participants' tweets were counted and content coded, distinguishing between responses to the intervention's automessages and spontaneous tweets. In addition, smoking abstinence was assessed at 7 days, 30 days, and 60 days post quit date. Statistical models assessed how tweeting related to abstinence.
Combining the two groups, 78% (31/40) of the members sent at least one tweet; and on average, each member sent 72 tweets during the 100-day period. The automessage-suggested discussion topics and participants' responses to those daily automessages were related in terms of their content (r=.75, P=.012). Responses to automessages contributed 22.78% (653/2867) of the total tweets; 77.22% (2214/2867) were spontaneous. Overall tweeting related only marginally to abstinence (OR 1.03, P=.086). However, specific tweet content related to abstinence including tweets about setting of a quit date or use of nicotine patches (OR 1.52, P=.024), countering of roadblocks to quitting (OR 1.76, P=.008) and expressions of confidence about quitting (OR 1.71, SE 0.42, P=.032). Questionable, that is, non-evidence-based, information about quitting did not relate to abstinence (OR 1.12, P=.278).
A hybrid social media intervention that combines traditional online social support with daily automessages appears to hold promise for smoking cessation. This hybrid approach capitalizes on social media's spontaneous real-time peer-to-peer exchanges but supplements this with daily automessages that group members respond to, bolstering and sustaining the social network and directing the information content. Highly engaging, this approach should be studied further.
Clinicaltrials.gov NCT01602536; https://clinicaltrials.gov/ct2/show/NCT01602536 (Archived by WebCite at http://www.webcitation.org/6WGbt0o1K).
医学领域试图利用社交媒体来提供健康干预措施,例如,提供低成本、自主导向的在线自助小组。然而,在线小组的参与度往往较低,信息内容可能也较差。
具体研究目的是探讨向在线自助小组发送自动消息是否能促进参与度,以及整体或特定类型的参与度是否与戒烟有关。
我们进行了一项名为Tweet2Quit的戒烟新型社交媒体干预措施的I期早期治疗开发试验,该干预措施在100天内通过Twitter上封闭的20人戒烟小组在线提供。传统上,如Twitter这样的社交媒体涉及非定向的对等交流,但我们的混合社交媒体干预措施试图通过每天发送两种自动通信来增加并引导此类交流:(1)一条“自动消息”,鼓励小组就基于证据的戒烟相关或社区建设主题进行讨论;(2)针对每位参与者过去24小时推文的个性化“自动反馈”。该干预措施特意设计为没有专家小组主持人且完全自动化,以确保低成本、易于实施和广泛的可扩展性。这项纯粹基于网络的试验研究了两个各有20名成员的在线戒烟小组。参与者为有戒烟意愿的成年吸烟者,通过谷歌关键词广告招募。统计参与者的推文数量并对内容进行编码,区分对干预自动消息的回复和自发推文。此外,在戒烟日期后的第7天、30天和60天评估戒烟情况。统计模型评估推文与戒烟之间的关系。
将两个小组合并后,78%(31/40)的成员至少发送了一条推文;平均而言,每位成员在100天内发送了72条推文。自动消息建议的讨论主题与参与者对这些每日自动消息的回复在内容上相关(r = 0.75,P = 0.012)。对自动消息的回复占推文总数的22.78%(653/2867);77.22%(2214/2867)为自发推文。总体推文与戒烟仅存在微弱关联(比值比1.03,P = 0.086)。然而,与戒烟相关的特定推文内容包括关于设定戒烟日期或使用尼古丁贴片的推文(比值比1.52,P = 0.024)、应对戒烟障碍的推文(比值比1.76,P = 0.008)以及对戒烟有信心的表达(比值比1.71,标准误0.42,P = 0.032)。可疑的,即非基于证据的戒烟信息与戒烟无关(比值比1.12,P = 0.278)。
一种将传统在线社会支持与每日自动消息相结合的混合社交媒体干预措施似乎对戒烟具有前景。这种混合方法利用了社交媒体自发的实时对等交流,但通过小组成员回复的每日自动消息对其进行补充,加强并维持了社交网络,同时引导了信息内容。这种方法参与度高,应进一步研究。
Clinicaltrials.gov NCT01602536;https://clinicaltrials.gov/ct2/show/NCT01602536(由WebCite存档于http://www.webcitation.org/6WGbt0o1K)