| Literature DB >> 27450586 |
Asvini K Subasinghe1, Margaret Nguyen, John D Wark, Sepehr N Tabrizi, Suzanne M Garland.
Abstract
BACKGROUND: Targeted advertising using social networking sites (SNS) as a recruitment strategy in health research is in its infancy.Entities:
Keywords: Facebook; HPV; human papillomavirus; online recruitment; social media
Year: 2016 PMID: 27450586 PMCID: PMC4975794 DOI: 10.2196/resprot.5679
Source DB: PubMed Journal: JMIR Res Protoc ISSN: 1929-0748
Figure 1Example of an original advertisement from the VACCINE Study’s Facebook advertising campaign.
Figure 2Example of a modified advertisement from the VACCINE Study’s Facebook advertising campaign.
Figure 3Participant recruitment rate based on date of expression of interest (EOI) (N=919).
Demographic characteristics of participants recruited by non-targeted advertisements compared with those recruited by targeted advertisements in the VACCINE study (N=919).
| Characteristic | Non targeted advertisement (n=659), na (%) | Targeted advertisement (n=260), na (%) | ||
| Age (years), median (Q1-Q3c) | 22 (20-23) | 22 (20-24) | .08 | |
| Geographic region | ||||
| Major city | 510 (77.3) | 212 (81.5) | .5 | |
| Inner regional | 127 (19.3) | 40 (15.4) | ||
| Outer regional/remote | 21 (3.3) | 8 (3.1) | ||
| Country of birth | ||||
| Australia | 574 (87.6) | 208 (80.9) | <.001 | |
| Other | 81 (12.4) | 52 (19.1) | ||
| Indigenous status | ||||
| Aboriginal or Torres Strait Islander | 5 (0.8) | 3 (1.2) | .6 | |
| Other | 654 (99.2) | 257 (98.8) | ||
| Socioeconomic level (SEIFA decile)d | ||||
| 1-5 | 214 (32.6) | 75 (29.2) | .3 | |
| 6-10 | 443 (67.4) | 182 (70.8) | ||
| Highest level of education completede | ||||
| < Year 12 | 29 (4.4) | 14 (5.4) | .7 | |
| Year 12 | 257 (39.0) | 98 (37.7) | ||
| > Year 12 | 365 (55.4) | 145 (55.8) | ||
| Relationship status | ||||
| Single | 237 (36.0) | 91 (35.0) | .7 | |
| Casual relationship | 60 (9.1) | 30 (11.5) | ||
| Committed relationship | 350 (53.1) | 136 (52.3) | ||
aNumbers may not add up to the total due to missing data.
bChi-square test was used for all demographic comparisons.
cQ1: 25th percentile; Q3: 75th percentile.
dBased on postal area code. Deciles are rankings within Victoria, Australia. The lowest 10% of areas are assigned a decile number of 1 and the highest 10% of areas are given a decile number of 10. Decile 1 is the most disadvantaged relative to the other deciles.
eYear 12 is the final year of high school in the Australian education system.
Demographic characteristics of participants in the VACCINE study compared with the general population in Victoria, Australia (N=919).
| Demographic | Total study populationa, n (%) | Target populationb, % | ||
| Age group, years | ||||
| 18-21 | 306 (33.3) | 48.6 | <0.001 | |
| 22-25 | 613 (66.7) | 51.4 | ||
| Geographic region | ||||
| Major city | 722 (78.6) | 80.7 | 0.1 | |
| Inner regional | 167 (18.2) | 16.3 | 0.001 | |
| Outer regional/remote | 30 (3.3) | 3.1 | 0.6 | |
| Country of birth | ||||
| Australia | 782 (85.8) | 75.5 | <0.001 | |
| Other | 130 (14.2) | 24.5 | ||
| Indigenous status | ||||
| Aboriginal or Torres Strait Islander | 8 (0.9) | 0.9 | 1.000 | |
| Other | 905 (99.1) | 99.1 | ||
| Education leveld | ||||
| Completed year 12 or below | 398 (43.4) | 57.4 | <0.001 | |
| Completed tertiary education | 519 (56.6) | 42.6 | ||
aNumbers may not add up to 919 due to missing data.
bPopulation data were sourced from the 2011 Australian Bureau of Statistics Census, with figures corrected for non-responses to add up to 100%.
cThe Chi-square test was used for all demographic comparisons.
dYear 12 is the final year of high school in the Australian education system.