Evidence map›Paper›PMID 31364607›Full record

ArticleJournal of medical Internet research2019

The Search for Consumers of Web-Based Raw DNA Interpretation Services: Using Social Media to Target Hard-to-Reach Populations.

Tiernan J Cahill, Blake Wertz, Qiankun Zhong, Andrew Parlato, John Donegan, Rebecca Forman, Supriya Manot, Tianyi Wu, Yazhu Xu, James J Cummings and 2 more

Erratum issuedAbstract read
In one paragraph

Article in Journal of medical Internet research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Tiernan J CahillDivison of Emerging Media, Boston University College of Communication, Boston, MA, United States.ORCID 0000-0001-5715-9192
Blake WertzDivison of Emerging Media, Boston University College of Communication, Boston, MA, United States.ORCID 0000-0003-0293-2840
Qiankun ZhongDivison of Emerging Media, Boston University College of Communication, Boston, MA, United States.ORCID 0000-0001-6234-0172
Andrew ParlatoDivison of Emerging Media, Boston University College of Communication, Boston, MA, United States.ORCID 0000-0003-4689-601X
John DoneganDivison of Emerging Media, Boston University College of Communication, Boston, MA, United States.ORCID 0000-0001-5340-3071
Rebecca FormanDivison of Emerging Media, Boston University College of Communication, Boston, MA, United States.ORCID 0000-0002-6963-5050
Supriya ManotDivison of Emerging Media, Boston University College of Communication, Boston, MA, United States.ORCID 0000-0002-4071-437X
Tianyi WuDivison of Emerging Media, Boston University College of Communication, Boston, MA, United States.ORCID 0000-0001-8991-8560
Yazhu XuDivison of Emerging Media, Boston University College of Communication, Boston, MA, United States.ORCID 0000-0002-9453-9124
James J CummingsDivison of Emerging Media, Boston University College of Communication, Boston, MA, United States.ORCID 0000-0001-6239-2634
Tricia Norkunas CunninghamDepartment of Community Health Sciences, Boston University School of Public Health, Boston, MA, United States.ORCID 0000-0003-4439-8295
Catharine WangDepartment of Community Health Sciences, Boston University School of Public Health, Boston, MA, United States.ORCID 0000-0001-8584-2781

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn recent years, there has been a proliferation of third-party Web-based services available to consumers to interpret raw DNA from direct-to-consumer genetic testing companies. Little is known about who uses these services and the downstream health implications. Identifying this hard-to-reach population of consumers for research raised questions about the most effective recruitment methods to undertake. Past studies have found that Web-based social media survey distribution can be cost-effective for targeting hard-to-reach populations, yet comparative efficacy information across platforms is limited.

objectiveThe aim of this study was to identify the most effective Web-based strategies to identify and recruit the target population of direct-to-consumer genetic testing users who also made use of third-party interpretation services to analyze their raw genetic data. Web-based survey recruitment methods varying by social media platform and advertising method were compared in terms of cost-effectiveness and demographics of survey respondents.

methodsA total of 5 Web-based survey distribution conditions were examined: 4 paid advertising services and 1 unpaid service. For the paid services, a 2x2 quasi-experimental design compared social media platforms (Facebook vs Twitter) and advertising tracking metrics (by click vs by conversion). The fifth unpaid comparison method consisted of study postings on the social media platform, Reddit, without any paid advertising. Links to identical Web-based versions of the study questionnaire were posted for 10 to 14 days for each of the distribution conditions, which allowed tracking the number of respondents that entered and completed the questionnaire by distribution condition.

resultsIn total, 438 individuals were recruited to the study through all conditions. A nearly equivalent number of participants were recruited from paid campaigns on Facebook (n=159) and Twitter (n=167), with a smaller sample recruited on Reddit (n=112). Significantly more participants were recruited through conversion-tracking (n=222) than through click-tracking campaigns (n=104; Z=6.5, P<.001). Response rates were found to be partially driven by organic sharing of recruitment materials among social media users. Conversion tracking was more cost-effective than click tracking across paid social media platforms. Significant differences in terms of gender and age distributions were noted between the platforms and between the tracking metrics.

conclusionsWeb-based recruitment methods were effective at recruiting participants from a hard-to-reach population in a short time frame. There were significant differences in the effectiveness of various paid advertising techniques. Recruitment through Web-based communities also appeared to perform adequately, yet it may be limited by the number of users accessible in open community groups. Future research should evaluate the impact of organic sharing of recruitment materials because this appeared to play a substantial role in the observed effectiveness of different methods.

Indexed as

AdolescentAdultAgedAlgorithmsConsumer BehaviorData CollectionDNAFemaleHumansInternetMaleMiddle AgedSocial MediaYoung AdultDNAadvertising as topicalgorithmsdata collection methodsresearch subject recruitmentsocial mediasurvey methods

Identifiers

PMID31364607
PMCPMC6691676

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.