| Literature DB >> 28576758 |
Paul L Reiter1, Mira L Katz2, Jose A Bauermeister3, Abigail B Shoben2, Electra D Paskett1, Annie-Laurie McRee4.
Abstract
BACKGROUND: Web-based approaches, specifically social media sites, represent a promising approach for recruiting young gay and bisexual men for research studies. Little is known, however, about how the performance of social media advertisements (ads) used to recruit this population is affected by ad content (ie, image and text).Entities:
Keywords: HPV; HPV vaccine; gay and bisexual men; social media
Year: 2017 PMID: 28576758 PMCID: PMC5473946 DOI: 10.2196/publichealth.7545
Source DB: PubMed Journal: JMIR Public Health Surveill ISSN: 2369-2960
Figure 1Example Facebook recruitment ads for Outsmart HPV (human papillomavirus). All ads were News Feed ads, and experimental factors included: image type (single person, couple, group, or doctor), content focus (HPV or HPV vaccine), and disease framing (cancer or sexually transmitted disease [STD]).
Figure 2Facebook recruitment campaign results for Outsmart HPV (human papillomavirus).
Results of Facebook advertisement factorial experiment. The analytic dataset included 64 observations (32 created ads that were used in two recruitment waves). Multivariable models included all variables in the table and controlled for recruitment wave.
| Factor | Reacha | UCTRb,c | Conversion ratec,d | ||||||||||
| n | Mean | IRRe (95% CI) | Mean | IRR (95% CI) | Mean | IRR (95% CI) | |||||||
| Single person | 16 | 210.88 | reff | 1.51 | ref | 0.35 | ref | ||||||
| Couple | 16 | 1034.56 | 4.91 (2.68-8.97) | <.001 | 2.52 | 1.66 (0.99-2.80) | .06 | 0.85 | 2.56 (1.13-5.77) | .02 | |||
| Group | 16 | 557.94 | 2.65 (1.08-6.50) | .03 | 1.73 | 1.03 (0.62-1.71) | .91 | 0.59 | 1.76 (0.77-4.03) | .18 | |||
| Doctor | 16 | 424.50 | 2.01 (0.88-4.62) | .10 | 1.40 | 0.91 (0.50-1.67) | .77 | 0.45 | 1.26 (0.52-3.09) | .61 | |||
| HPVg | 32 | 558.34 | ref | 2.05 | ref | 0.62 | ref | ||||||
| HPV vaccine | 32 | 555.59 | 1.00 (0.53-1.86) | .99 | 1.97 | 0.98 (0.79-1.22) | .86 | 0.71 | 1.15 (0.93-1.43) | .19 | |||
| Cancer | 32 | 528.38 | ref | 1.79 | ref | 0.68 | ref | ||||||
| STDh | 32 | 585.56 | 1.11 (0.59-2.07) | .75 | 2.21 | 1.34 (1.06-1.69) | .01 | 0.65 | 0.98 (0.79-1.22) | .85 | |||
aReach was defined as number of Facebook users ad was shown to.
bUnique click-through rate (UCTR) was defined as the number of unique users who clicked on an ad divided by reach.
cDisplayed as a percentage.
dConversion rate was defined as the number of unique users who reached the study consent form divided by the number of times an ad was viewed.
eIRR: incidence rate ratio.
fref: reference group.
gHPV: human papillomavirus.
hSTD: sexually transmitted disease.