This paper is in the following e-collection/theme issue:

Proposals (eHealth) (86) Recruitment of Research Participants (377) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (997) Innovations in Clinical Trials and Research Data Management (124) mHealth in the Developing World/LMICs, Underserved Communities, and for Global Health (717) Qualitative Studies, Thematic Studies, Surveys in Perioperative Medicine (12)

Published on in Vol 13 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/52281, first published .
Combating Fraudulent Participation in Urban American Indian and Alaska Native Virtual Health Research: Protocol for Increasing Data Integrity in Online Research (PRIOR)

Combating Fraudulent Participation in Urban American Indian and Alaska Native Virtual Health Research: Protocol for Increasing Data Integrity in Online Research (PRIOR)

Combating Fraudulent Participation in Urban American Indian and Alaska Native Virtual Health Research: Protocol for Increasing Data Integrity in Online Research (PRIOR)

Authors of this article:

Nicole D Reed1, 2 Author Orcid Image ;   Sheana Bull2 Author Orcid Image ;   Umit Shrestha3 Author Orcid Image ;   Michelle Sarche1, 2 Author Orcid Image ;   Carol E Kaufman1, 2 Author Orcid Image
Article Authors Cited by (9) Tweetations (11) Metrics

Journals

  1. Hanson K, Marshall G, Graham M, Villarreal D, Volpe L, Seguin-Fowler R. Identifying and Removing Fraudulent Attempts to Enroll in a Human Health Improvement Intervention Trial in Rural Communities. Methods and Protocols 2024;7(6):93 View
  2. Bartmess M, Abreu T. Maintaining data quality when using social media for recruitment: Risks, rewards, and steps forward. Methodology 2024;20(4):304 View
  3. Craig L, Evans C, Taylor B, Patterson J, Whitfield K, Hill M, Nwagwu M, Mubasher M, Bednarczyk R, McCray G, Gaddis C, Taylor N, Thompson E, Douglas U, Latimer S, Spivey S, Henry Akintobi T, Quarells R. Challenges and Lessons Learned in Managing Web-Based Survey Fraud for the Garnering Effective Outreach and Research in Georgia for Impact Alliance–Community Engagement Alliance Survey Administrations. JMIR Public Health and Surveillance 2024;10:e51786 View
  4. Kaufman C, Asdigian N, Reed N, Shrestha U, Bull S, Tuitt N, Vossberg R, Mumby S, Sarche M. One‐month outcomes of a culturally tailored alcohol‐exposed pregnancy prevention mobile app among urban Native young women: A randomized controlled trial of Native WYSE CHOICES. Alcohol, Clinical and Experimental Research 2025;49(3):641 View
  5. Stavish C, Tuitt N, Sarche M, Asdigian N, Reed N, Kaufman C. Culture and COVID-19 Related Impacts on Alcohol-Exposed Pregnancy Risk Among Urban American Indian and Alaska Native Young Adults: A Path Analysis. Journal of Adolescent Health 2025;77(3):507 View
  6. Webber-Ritchey K, Ally F, Galura S, Buck J, Brockway C, Chipps E, Ponder T, Simonovich S, Spurlark R, Vancil B, Monturo C. Identifying Fraudulent Responses and Imposters in Research Recruitment of Subjects Through Social Media. JONA: The Journal of Nursing Administration 2025;55(7):388 View
  7. Dhariwal A, Mohammadi S, Golden K, Pier E, Giacino J, Miller W. Fraud, Deception, and Subversion: Recommendations for Maintaining Data Integrity. Archives of Physical Medicine and Rehabilitation 2025;106(11):1770 View
  8. Strickland I, Ferketich A, Tackett A, Patterson J, Breitborde N, Davis J, Roberts M. Imposters, Bots, and Other Threats to Data Integrity in Online Research: Scoping Review of the Literature and Recommendations for Best Practices. Online Journal of Public Health Informatics 2025;17:e70926 View
  9. Diamond-Smith N, Comfort A, Epperson A, Riley A, Beylin N, Garcia M, Francis S, Abascal Miguel L. Social Media Recruitment in Indigenous and Native American Populations: Challenges in the AI Age. JMIR Public Health and Surveillance 2025;11:e76677 View