Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Accepted for/Published in: JMIR Research Protocols

Date Submitted: Jan 23, 2019
Open Peer Review Period: Jan 24, 2019 - Feb 7, 2019
Date Accepted: Jul 27, 2019
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

Health Research Using Facebook to Identify and Recruit Pregnant Women Who Use Electronic Cigarettes: Internet-Based Nonrandomized Pilot Study

Lee H, Hsieh YP, Murphy J, Tidey J, Savitz D

Health Research Using Facebook to Identify and Recruit Pregnant Women Who Use Electronic Cigarettes: Internet-Based Nonrandomized Pilot Study

JMIR Res Protoc 2019;8(10):e12444

DOI: 10.2196/12444

PMID: 31628785

PMCID: 6913691

Health Research using Facebook to Identify and Recruit Pregnant Women who Use E-cigarettes: Protocol for a Non-Randomized Pilot Study

  • Harold Lee; 
  • Y. Patrick Hsieh; 
  • Joe Murphy; 
  • Jennifer Tidey; 
  • David Savitz

ABSTRACT

Background:

Participant recruitment is often a challenge, particularly enrolling individuals with relatively rare characteristics. The wide reach of social media may provide a mechanism to overcome these challenges.

Objective:

The primary aim of the paper is to provide information to researchers who seek to recruit participants from rare populations using social media for studies with rather demanding protocols. We describe a pilot study protocol that identified and enrolled currently pregnant women (second or third trimester) who were exclusive electronic cigarette (e-cigarette) users. We describe the recruitment methods, time, and cost; examine advertisement types that were more or less successful; discuss participant retention and relationship management; and describe the process of collecting biological data.

Methods:

We placed Facebook advertisements selectively targeting women who were likely to be pregnant and interested in e-cigarettes or vaping. The advertisements invited individuals to complete an eligibility screener. Eligible participants were asked to (1) complete an online survey that collected detailed information on the use of e-cigarettes, including the exact type of device and e-liquid, (2) report frequency and intensity of e-cigarette use for the 3 months before pregnancy and during each trimester, and (3) provide a saliva specimen for nicotine biomarker assay. Eight weeks after the mother’s due date, we collected a photograph of each participant’s e-cigarette device to allow corroboration of self-report and the baby’s birth weight and gestational age from the participant’s physician.

Results:

We enrolled 20 participants in two months at a cost of $3421.28 USD. Baseline data was collected for all 20 participants. Of the 20 women enrolled, 16 provided a saliva sample, 4 provided a photo of the e-cigarette device, and 10 provided physician contact information. Of the 10 physicians contacted by mail, 6 responded with information on the participants and their babies.

Conclusions:

Study findings suggest that Facebook’s targeting criteria should focus on “e-cigarette users” to maximize advertisement exposure of potentially eligible women. In addition, saliva sample collection was feasible among pregnant women (second or third trimester) who are exclusive e-cigarette users, but obtaining photographs and physician reports was problematic and calls for further refinement. These lessons should be generalizable to others who are seeking to use social media to recruit participants from rare populations into studies with rather demanding protocols. Clinical Trial: n/a


 Citation

Please cite as:

Lee H, Hsieh YP, Murphy J, Tidey J, Savitz D

Health Research Using Facebook to Identify and Recruit Pregnant Women Who Use Electronic Cigarettes: Internet-Based Nonrandomized Pilot Study

JMIR Res Protoc 2019;8(10):e12444

DOI: 10.2196/12444

PMID: 31628785

PMCID: 6913691

Per the author's request the PDF is not available.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.