Gavin N. Rackoff , Lawrence T. Monocello , Lauren A. Fowler , Melissa M. Vázquez , Jillian Shah , Ellen E. Fitzsimmons-Craft , C. Barr Taylor , Daniel Eisenberg , Denise E. Wilfley , Michelle G. Newman
{"title":"Using social influence strategies to improve rates of online mental health survey participation: Results from two experiments","authors":"Gavin N. Rackoff , Lawrence T. Monocello , Lauren A. Fowler , Melissa M. Vázquez , Jillian Shah , Ellen E. Fitzsimmons-Craft , C. Barr Taylor , Daniel Eisenberg , Denise E. Wilfley , Michelle G. Newman","doi":"10.1016/j.jbct.2023.05.001","DOIUrl":null,"url":null,"abstract":"<div><p>BACKGROUND: Online surveys are routinely used in mental health screening and treatment follow-up assessment, though they can yield low response rates. We tested the effects of social psychology-informed influence strategies for increasing rates of participation in an online mental health screening survey (Experiment 1) and a treatment follow-up survey (Experiment 2). METHODS and RESULTS: In Experiment 1 (<em>N</em> = 45,569), embedding one or any combination of three motivational appeals (personal gain, community gain, and inclusivity) in screening survey invitation and reminder emails unexpectedly led to lower rates of survey participation compared to when the appeals were not included (overall participation rate = 12.02%, ORs = 0.75 to 0.97, <em>p</em>s < .001). In Experiment 2 (<em>N</em> = 873), a video of a TikTok influencer encouraging survey participation embedded in treatment follow-up survey invitation and reminder emails did not significantly affect survey completion compared to a humorous gif unrelated to survey participation (overall participation rate = 47.88%, OR = 1.18, <em>p</em> = .200). Moderator analyses revealed that the video led to higher rates of participation than the gif among White participants (OR = 1.39, <em>p</em> = .031) and non-Hispanic participants (OR = 1.35, <em>p</em> = .029) only, whereas the video led to lower rates of participation than the gif among students who did not disclose their race (OR = 0.31, <em>p</em> = .010). CONCLUSIONS: Efforts to improve online survey participation should be balanced with possible downsides (e.g., added email length) and should be evaluated for differential performance among population subgroups prior to widespread implementation.</p></div>","PeriodicalId":36022,"journal":{"name":"Journal of Behavioral and Cognitive Therapy","volume":"33 2","pages":"Pages 81-89"},"PeriodicalIF":1.7000,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Behavioral and Cognitive Therapy","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2589979123000100","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"PSYCHIATRY","Score":null,"Total":0}
引用次数: 2
Abstract
BACKGROUND: Online surveys are routinely used in mental health screening and treatment follow-up assessment, though they can yield low response rates. We tested the effects of social psychology-informed influence strategies for increasing rates of participation in an online mental health screening survey (Experiment 1) and a treatment follow-up survey (Experiment 2). METHODS and RESULTS: In Experiment 1 (N = 45,569), embedding one or any combination of three motivational appeals (personal gain, community gain, and inclusivity) in screening survey invitation and reminder emails unexpectedly led to lower rates of survey participation compared to when the appeals were not included (overall participation rate = 12.02%, ORs = 0.75 to 0.97, ps < .001). In Experiment 2 (N = 873), a video of a TikTok influencer encouraging survey participation embedded in treatment follow-up survey invitation and reminder emails did not significantly affect survey completion compared to a humorous gif unrelated to survey participation (overall participation rate = 47.88%, OR = 1.18, p = .200). Moderator analyses revealed that the video led to higher rates of participation than the gif among White participants (OR = 1.39, p = .031) and non-Hispanic participants (OR = 1.35, p = .029) only, whereas the video led to lower rates of participation than the gif among students who did not disclose their race (OR = 0.31, p = .010). CONCLUSIONS: Efforts to improve online survey participation should be balanced with possible downsides (e.g., added email length) and should be evaluated for differential performance among population subgroups prior to widespread implementation.