Lurking as an Active Participation Process: A Longitudinal Investigation of Engagement with an Online Cancer Support Group

Han, Jeong Yeob; Hou, Jiran; Kim, Eun-kyung; Gustafson, David H.

doi:10.1080/10410236.2013.816911

Cited by 84 publications

(76 citation statements)

References 49 publications

(101 reference statements)

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“…participant behaviours within the intervention and technology used to access the intervention) [9, 12]. For example, do active contributors show greater intervention effects than “lurkers” (those who view others’ posts but do not contribute original material themselves [21])? If so, researchers can work with designers and developers to refine the intervention to include persuasive cues that encourage participants’ active engagement with the intervention.…”

Section: How Can Paradata Analyses Advance the Field?mentioning

confidence: 99%

Addressing engagement in technology-based behavioural HIV interventions through paradata metrics

Bauermeister

Golinkoff

Muessig

et al. 2017

Current Opinion in HIV and AIDS

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Purpose of review The goal of this review was to examine how often researchers report participants’ online engagement using paradata (i.e. intervention usage metrics) when describing the outcomes of online behavioural HIV prevention and care interventions. We also highlight the utility of paradata collection and analysis in future technology-based trials. Recent findings We focused on studies indexed on PubMed and published between January 1, 2016 and March 31, 2017 that reported the development and testing of online behavioural interventions for HIV prevention and/or care. Of the 705 extracted citations, six met study criteria. Summary Only one study reported paradata reflecting participants’ engagement with a technology-based intervention. Researchers should systematically collect and analyze paradata to strengthen the evidence-base for technology-based interventions (do they work?), advance the use of behaviour change theory across modalities and platforms (how/why do they work?), and inform reach and scale-up efforts (for whom do they work?). Researchers may also rely on paradata to examine dose-response relationships due to user engagement, to identify replicable core components linked to behaviour change outcomes, to allocate resources judiciously and drive down development costs, and to pool these metrics for use in future meta-analyses.

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Section: How Can Paradata Analyses Advance the Field?mentioning

confidence: 99%

Addressing engagement in technology-based behavioural HIV interventions through paradata metrics

Bauermeister

Golinkoff

Muessig

et al. 2017

Current Opinion in HIV and AIDS

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“…The magnitude of this social network platform and its popularity can considerably extend the reach of evidence-based health messages to the public and scale-up user-centered social support to the population level to address public health problems. In fact, a growing volume of research is leveraging social media to facilitate health behavior changes such as increasing physical activities [5], enabling addiction recovery support [6], providing support for cancer survivors [7,8], and reducing sexual risk behaviors among youth [9]. More evidence has shown that participants perceive social media approaches for health promotion as appealing, acceptable, and convenient [10].…”

Section: Introductionmentioning

confidence: 99%

Harnessing Facebook for Smoking Reduction and Cessation Interventions: Facebook User Engagement and Social Support Predict Smoking Reduction

Kim¹,

Marsch²,

Brunette³

et al. 2017

J Med Internet Res

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BackgroundSocial media technologies offer a novel opportunity for scalable health interventions that can facilitate user engagement and social support, which in turn may reinforce positive processes for behavior change.ObjectiveBy using principles from health communication and social support literature, we implemented a Facebook group–based intervention that targeted smoking reduction and cessation. This study hypothesized that participants’ engagement with and perceived social support from our Facebook group intervention would predict smoking reduction.MethodsWe recruited 16 regular smokers who live in the United States and who were motivated in quitting smoking at screening. We promoted message exposure as well as engagement and social support systems throughout the intervention. For message exposure, we posted prevalidated, antismoking messages (such as national antismoking campaigns) on our smoking reduction and cessation Facebook group. For engagement and social support systems, we delivered a high degree of engagement and social support systems during the second and third week of the intervention and a low degree of engagement and social support systems during the first and fourth week. A total of six surveys were conducted via Amazon Mechanical Turk (MTurk) at baseline on a weekly basis and at a 2-week follow-up.ResultsOf the total 16 participants, most were female (n=13, 81%), white (n=15, 94%), and between 25 and 50 years of age (mean 34.75, SD 8.15). There was no study attrition throughout the 6-time-point baseline, weekly, and follow-up surveys. We generated Facebook engagement and social support composite scores (mean 19.19, SD 24.35) by combining the number of likes each participant received and the number of comments or wall posts each participant posted on our smoking reduction and cessation Facebook group during the intervention period. The primary outcome was smoking reduction in the past 7 days measured at baseline and at the two-week follow-up. Compared with the baseline, participants reported smoking an average of 60.56 fewer cigarettes per week (SD 38.83) at the follow-up, and 4 participants out of 16 (25%) reported 7-day point prevalence smoking abstinence at the follow-up. Adjusted linear regression models revealed that a one-unit increase in the Facebook engagement and social support composite scores predicted a 0.56-unit decrease in cigarettes smoked per week (standard error =.24, P=.04, 95% CI 0.024-1.09) when baseline readiness to quit, gender, and baseline smoking status were controlled (F4, 11=8.85, P=.002).ConclusionsThis study is the first Facebook group–based intervention that systemically implemented health communication strategies and engagement and social support systems to promote smoking reduction and cessation. Our findings imply that receiving one like or posting on the Facebook-based intervention platform predicted smoking approximately one less cigarette in the past 7 days, and that interventions should facilitate user interactions to foster user engagement and social supp...

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“…Depending on the level of engagement, cancer patients may participate in CMSS groups in a different manner (Han, Hou, Kim, & Gustafson, 2014). Since our findings suggest that cancer patients can empower themselves through productive communicative interaction with other patients, researchers and healthcare professionals should provide adequate communication trainings for patients so that they can communicate more effectively with such skills as initiating conversations, offering advice to other patients, and responding to other patients’ problems as they have experienced it.…”

Section: Discussionmentioning

confidence: 99%

Opinion Leaders in Online Cancer Support Groups: An Investigation of Their Antecedents and Consequences

Kim

Scheufele

Han

et al. 2016

Health Communication

Self Cite

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With a focus on the nature and dynamic process of social interactions among breast cancer patients, this study argues that the notion of opinion leaders can be another crucial factor in explaining positive psychosocial health outcomes within computer-mediated social support (CMSS) groups. This study investigates the relationship between opinion leaders and their psychosocial health benefits by considering two overarching questions: (a) Who are the opinion leaders? (b) What role do these opinion leaders play in explaining health outcomes? The data analyzed in this study resulted from merging human-coded content analysis of discussion group messages, action log data analysis of interactive health system usage, and longitudinal survey data. Surveys were administered to 221 women with breast cancer; participants were provided free access to and training for the CMSS groups developed by the Comprehensive Health Support System (CHESS) project. The findings suggest that opinion leaders obtained psychosocial health benefits, such as higher levels of cancer information competence, breast cancer knowledge, and better problem-focused coping strategies. Those who had a higher baseline level of breast cancer knowledge and optimism in coping with challenges in their life were more likely to act as opinion leaders. Implications for research and improving psychosocial interventions for people with health concerns are discussed.

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Lurking as an Active Participation Process: A Longitudinal Investigation of Engagement with an Online Cancer Support Group

Cited by 84 publications

References 49 publications

Addressing engagement in technology-based behavioural HIV interventions through paradata metrics

Addressing engagement in technology-based behavioural HIV interventions through paradata metrics

Harnessing Facebook for Smoking Reduction and Cessation Interventions: Facebook User Engagement and Social Support Predict Smoking Reduction

Opinion Leaders in Online Cancer Support Groups: An Investigation of Their Antecedents and Consequences

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