Evidence map›Paper›PMID 30274964›Full record

ArticleJMIR research protocols2018

Monitoring Twitter Conversations for Targeted Recruitment in Cancer Trials in Los Angeles County: Protocol for a Mixed-Methods Pilot Study.

Katja Reuter, Praveen Angyan, NamQuyen Le, Alicia MacLennan, Sarah Cole, Ricky N Bluthenthal, Christianne J Lane, Anthony B El-Khoueiry, Thomas A Buchanan

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in JMIR research protocols, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03408561 (The Use of Social Media Listening for Targeted Recruitment of Twitter Users in LA County in Cancer Trials Compared to Historic Recruitment Data), which is not on this map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.2field-weighted citation impact, top 12% of its field
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.

NCT03408561 nawithdrawnnot on this map

The Use of Social Media Listening for Targeted Recruitment of Twitter Users in LA County in Cancer Trials Compared to Historic Recruitment Data: A Mixed-Methods Study

TypeinterventionalSponsorUniversity of Southern CaliforniaRan2017 to 2018Enrolled0ConditionsBreast Carcinoma, Colon Carcinoma, Kidney Carcinoma, LymphomaArmsInternet-Based Intervention, Survey Administration
3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Towards Automatic Bot Detection in Twitter for Health-related Tasks.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2020
    Article
  5. Article
  6. Article
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 1 institution in 1 country.

Katja ReuterInstitute for Health Promotion & Disease Prevention Research, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States.ORCID http://orcid.org/0000-0002-1559-9058
Praveen AngyanSouthern California Clinical and Translational Science Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States.ORCID http://orcid.org/0000-0001-7022-7049
NamQuyen LeSouthern California Clinical and Translational Science Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States.ORCID http://orcid.org/0000-0002-5054-5362
Alicia MacLennanSouthern California Clinical and Translational Science Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States.ORCID http://orcid.org/0000-0003-2592-1546
Sarah ColeUSC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States.ORCID http://orcid.org/0000-0002-9979-7093
Ricky N BluthenthalInstitute for Health Promotion & Disease Prevention Research, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States.ORCID http://orcid.org/0000-0003-3491-1702
Christianne J LaneSouthern California Clinical and Translational Science Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States.ORCID http://orcid.org/0000-0003-3268-3574
Anthony B El-KhoueiryUSC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States.ORCID http://orcid.org/0000-0002-9053-3841
Thomas A BuchananSouthern California Clinical and Translational Science Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States.ORCID http://orcid.org/0000-0001-7892-5132
University of Southern California · US

Funding

Southern California Clinical and Translational Science InstituteUL1TR001855 · NCATS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Thomas A Buchanan, Michele D. Kipke · 2016 to 2026
$81.3M
Southern California Clinical and Translational Science InstituteUL1TR000130 · NCATS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BUCHANAN, THOMAS A · 2012 to 2015
$36.0M
NCATS NIH HHS UL1 TR000130NCATS NIH HHS UL1 TR001855
6 · The paper itself

Abstract

backgroundInsufficient recruitment of participants remains a critical roadblock to successful clinical research, particularly clinical trials. Social media provide new ways for connecting potential participants with research opportunities. Researchers suggest that the social network Twitter may serve as a rich avenue for exploring how patients communicate about their health issues and increasing enrollment in cancer clinical trials. However, there is a lack of evidence that Twitter offers practical utility and impact.

objectiveThis pilot study aimed to examine the feasibility and impact of using Twitter monitoring data (ie, user activity and their conversations about cancer-related conditions and concerns expressed by Twitter users in Los Angeles County) as a tool for enhancing clinical trial recruitment at a comprehensive cancer center.

methodsWe will conduct a mixed-methods interrupted time series study design with a before-and-after social media recruitment intervention. On the basis of a preliminary analysis of eligible trials, we plan to onboard at least 84 clinical trials across 6 disease categories: breast cancer, colon cancer, kidney cancer, lymphoma, non-small cell lung cancer, and prostate cancer that are open to accrual at the University of Southern California (USC) Norris Comprehensive Cancer Center. We will monitor messages about these 6 cancer conditions posted by Twitter users in Los Angeles County. Recruitment for the trials will occur through the Twitter account (@USCTrials). Primary study outcomes-feasibility and acceptance of the social media intervention among targeted Twitter users and the study teams of the onboarded trials-will be assessed using qualitative interviews and the 4-point Likert scale and by calculating the proportion of targeted Twitter users who engaged with outreach messages. Second, impact of the social media intervention will be measured by calculating the proportion of enrollees in trials. The enrollment rate will be compared between the active intervention period and the prior 10 months as historical control for each disease trial group. This study has been funded by the National Center for Advancing Translational Science through a Clinical and Translational Science Award. Study approval was obtained from the clinical investigations committee at USC Norris and the institutional review board at USC.

resultsRecruitment on Twitter started in February 2018. Data collection will be completed in November 2018.

conclusionsThis pilot project will provide preliminary data and practical insight into the application of publicly available Twitter data to identify and recruit clinical trial participants across 6 cancer disease types. We will shed light on the acceptance of the social media intervention among Twitter users and study team members of the onboarded trials. If successful, the findings will inform a multisite randomized controlled trial to determine the efficacy of the social media intervention across different locations and populations.

trial registrationClinicalTrials.gov NCT03408561; https://clinicaltrials.gov/ct2/show/NCT03408561 (Archived by WebCite at http://www.webcitation.org/72LihauzW). REGISTERED REPORT IDENTIFIER: RR1-10.2196/9762.

Indexed as

breast cancercancerclinical researchclinical trialcolon cancerkidney cancerlisteninglung cancerlymphomamonitoringoutreachprostate cancerrecruitmentresearch participationsocial mediasocial networksurveillanceTwitter

Identifiers

PMID30274964
PMCPMC6231794
OpenAlexW2884622719

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.