| Literature DB >> 35577481 |
Micah A Skeens1, Malcolm Sutherland-Foggio2, Callista Damman3, Cynthia A Gerhardt2, Terrah Foster Akard4.
Abstract
The COVID-19 pandemic has created unique challenges for recruitment of adults and children into clinical research. The sudden onset of stay-at-home orders and social distancing enacted in much of the United States created sudden barriers for researchers to recruit participants in-person. Recognizing the critical need to understand the impact of COVID-19 on children and families in real time, studies required an alternative approach. The present study sought to develop methods and establish the feasibility of utilizing Facebook's targeted advertising to enroll schoolaged children and their parents for a study examining the impact of the COVID-19 pandemic on families. This study used an 8 week pay-per-click advertisement approach via Facebook for research recruitment. Parents of children age 8 to 17 were invited and asked to include their child. Standardized measures were included for parents and children. Zip code targeting was used to increase diversity in participants. The ad campaign reached 213,120, yielding 3563 clicks, 684 parent participants, 494 child participants and a 26% conversion rate over eight weeks. The cost-per-click was $0.64, and cost-per-participant was $3.30 and $4.60 for parents and children, respectively. This nationwide study successfully used social media to recruit a robust nationwide sample of parent-child dyads during the COVID-19 pandemic. Social media recruitment mitigated typical time and engagement barriers for participants while also circumventing social and physical distancing orders due to the pandemic which allowed for real time assessment of the pandemic's effects on families. Future consideration should be given.to social media as a research recruitment methodology.Entities:
Keywords: COVID-19; Facebook recruitment; Pediatrics; Social media recruitment
Mesh:
Year: 2022 PMID: 35577481 PMCID: PMC8923712 DOI: 10.1016/j.apnr.2022.151574
Source DB: PubMed Journal: Appl Nurs Res ISSN: 0897-1897 Impact factor: 1.847
Fig. 1Facebook Recruitment Ad.
Facebook analytics terms and measures.
| Definition | |
|---|---|
| Impressions | The number of times the advertisement appeared in a news feed |
| Reach | The number of times the advertisement was seen at least once by a user |
| Click | An interaction with the advertisement |
| Cost per click | The cost of the ad divided by the number of times the ad was clicked |
| Conversion rate | The number of people who click on the ad and then become participants (eligibility is not excluded) |
| Cost per participant | The cost of advertising divided by the eligible recruited participants |
| Frequency | Average number of times each person saw the ad |
| Result rate | The number of clicks divided by the number of impressions |
Fig. 2Prisma diagram of Facebook enrollments.
Parent demographic characteristics (N = 684).
| N | Valid % | |
|---|---|---|
| Sex | ||
| Male | 39 | 5.7 |
| Female | 645 | 94.3 |
| Race | ||
| American Indian/Native American | 6 | 0.9 |
| Asian | 18 | 2.6 |
| Black/African American | 28 | 4.1 |
| Native Hawaiian/Pacific Islander | 5 | 0.7 |
| White | 624 | 90.6 |
| Other | 19 | 2.8 |
| Ethnicity | ||
| Hispanic or Latino | 40 | 5.9 |
| Not Hispanic | 639 | 94.1 |
| Region | ||
| Northeast | 58 | 10.4 |
| South | 95 | 17.0 |
| Midwest | 330 | 58.9 |
| West | 67 | 12.0 |
| Puerto Rico | 8 | 1.4 |
| Outside the USA | 2 | 0.4 |
| Marital status | ||
| Single | 46 | 6.7 |
| Married | 583 | 85.1 |
| Divorced | 33 | 4.8 |
| Separated | 4 | 0.6 |
| Widowed | 3 | 0.4 |
| Living with someone | 16 | 2.3 |
| Education level | ||
| Less than high-school or GED | 83 | 12.1 |
| High-school or GED | 57 | 8.3 |
| Some college | 107 | 15.6 |
| Bachelor's degree | 138 | 20.2 |
| Graduate degree | 299 | 43.7 |
| Current employment status | ||
| Working full-time (>30 h/wk) | 404 | 59.2 |
| Working part-time (<30 h/wk) | 112 | 16.4 |
| Unemployed | 167 | 24.5 |
| Annual income prior to COVID-19 | ||
| Under - $25,000 | 42 | 6.2 |
| $25,001 - $50,000 | 85 | 12.5 |
| $50,001 - $75,000 | 91 | 13.4 |
| $75,001 - $100,000 | 131 | 19.3 |
| $100,001 - $150,000 | 192 | 28.2 |
| $150,001 – more | 132 | 19.4 |
| Other | 7 | 1.0 |
Child demographic characteristics (N = 494).
| Mean (SD) | ||
|---|---|---|
| Age | 11.9 (2.7) | |
| N | Valid % | |
| Sex | ||
| Male | 251 | 51.0 |
| Female | 241 | 49.0 |
| Race | ||
| White | 447 | 90.5 |
| Black/African American | 25 | 5.1 |
| Asian | 21 | 4.3 |
| American Indian/Native American | 4 | 0.8 |
| Native Hawaiian/Pacific Islander | 3 | 0.6 |
| Other | 16 | 3.2 |
| Ethnicity | ||
| Hispanic or Latino | 39 | 7.9 |
| Not Hispanic | 452 | 92.1 |
Fig. 3Example of Facebook analytics ad set ages 8–12 years of age.
Fig. 4Example of Facebook analytics ad set ages 13–17 years of age.
Fig. 5Facebook analytics per group.