J. Med. Internet Res. - Social influence as a driver of engagement in a web-based health intervention.

Tópicos

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Resumo

CKGROUND: Web-based health interventions can drive behavior change, but their effectiveness depends on participants' usage. A well-recognized challenge with these interventions is nonusage attrition or weak engagement that results in participants receiving low doses of the intervention, negatively affecting outcomes. We present an approach based on the theoretical concepts of social influence and complex contagion in an effort to address the engagement problem in a specific, commercial, online behavior change intervention.OBJECTIVE: To examine the relation between social ties and engagement within a specific online intervention. The aims were (1) to determine whether experiencing the intervention socially influences engagement, such that individuals with social ties show higher engagement than those without ties, and (2) to evaluate whether complex contagion increases engagement-that is, whether engagement increases as the number of ties an individual has in the intervention increases.METHODS: We analyzed observational data from 84,828 subscribed members of a specific Web-based intervention, Daily Challenge. We compiled three measures of engagement for every member: email opens, site visits, and challenge completions (response to action prompts). We compared members with and without social ties within the intervention on each measure separately using 2-tailed independent-sample t tests. Finally, we performed linear regressions with each simple engagement measure as the dependent variable and number of social ties as the independent variable.RESULTS: Compared with those without social ties, participants with social ties opened more emails (33.0% vs 27.2%, P < .001), visited the website more often (12.6 vs 6.7 visits, P < .001), and reported completing more of the actions they were prompted to perform (11.0 vs 6.1 actions, P < .001). Social ties were significant predictors of email opens (beta = 0.68, P < .001), site visits (beta = 1.52, P < .001), and reported action completions (beta = 1.32, P < .001).CONCLUSIONS: Our initial findings are higher engagement in participants with social ties in the program and are consistent with the view that social influence can drive engagement in a Web-based health intervention.

Resumo Limpo

ckground webbas health intervent can drive behavior chang effect depend particip usag wellrecogn challeng intervent nonusag attrit weak engag result particip receiv low dose intervent negat affect outcom present approach base theoret concept social influenc complex contagion effort address engag problem specif commerci onlin behavior chang interventionobject examin relat social tie engag within specif onlin intervent aim determin whether experienc intervent social influenc engag individu social tie show higher engag without tie evalu whether complex contagion increas engagementthat whether engag increas number tie individu intervent increasesmethod analyz observ data subscrib member specif webbas intervent daili challeng compil three measur engag everi member email open site visit challeng complet respons action prompt compar member without social tie within intervent measur separ use tail independentsampl t test final perform linear regress simpl engag measur depend variabl number social tie independ variableresult compar without social tie particip social tie open email vs p visit websit often vs visit p report complet action prompt perform vs action p social tie signific predictor email open beta p site visit beta p report action complet beta p conclus initi find higher engag particip social tie program consist view social influenc can drive engag webbas health intervent

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