AI Article Synopsis
Article Abstract
Background: As technology continues to shape the landscape of health research, the utilization of web-based surveys for collecting sexual health information among adolescents and young adults has become increasingly prevalent. However, this shift toward digital platforms brings forth a new set of challenges, particularly the infiltration of automated bots that can compromise data integrity and the reliability of survey results.
Objective: We aimed to outline the data verification process used in our study design, which employed survey programming and data cleaning protocols.
Methods: A 26-item survey was developed and programmed with several data integrity functions, including reCAPTCHA scores, RelevantID fraud and duplicate scores, verification of IP addresses, and honeypot questions. Participants aged 15-24 years were recruited via social media advertisements over 7 weeks and received a US $15 incentive after survey completion. Data verification occurred through a 2-part cleaning process, which removed responses that were incomplete, flagged as spam by Qualtrics, or from duplicate IP addresses, or those that did not meet the inclusion criteria. Final comparisons of reported age with date of birth and reported state with state inclusion criteria were performed. Participants who completed the study survey were linked to a second survey to receive their incentive. Responses without first and last names and full addresses were removed, as were those with duplicate IP addresses or the exact same longitude and latitude coordinates. Finally, IP addresses used to complete both surveys were compared, and consistent responses were eligible for an incentive.
Results: Over 7 weeks, online advertisements for a web-based survey reached 1.4 million social media users. Of the 20,585 survey responses received, 4589 (22.3%) were verified. Incentives were sent to 462 participants; of these, 14 responses were duplicates and 3 contained discrepancies, resulting in a final sample of 445 responses.
Conclusions: Confidential web-based surveys are an appealing method for reaching populations-particularly adolescents and young adults, who may be reluctant to disclose sensitive information to family, friends, or clinical providers. Web-based surveys are a useful tool for researchers targeting hard-to-reach populations due to the difficulty in obtaining a representative sample. However, researchers face the ongoing threat of bots and fraudulent participants in a technology-driven world, necessitating the adoption of evolving bot detection software and tailored protocols for data collection in unique contexts.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.2196/56788 | DOI Listing |
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11648336 | PMC |
Publication Analysis
Top Keywords
Similar Publications
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 Surveill
December 2024
Community Health and Preventive Medicine, Morehouse School of Medicine, Atlanta, GA, United States.
Background: Convenience, privacy, and cost-effectiveness associated with web-based data collection have facilitated the recent expansion of web-based survey research. Importantly, however, practical benefits of web-based survey research, to scientists and participants alike, are being overshadowed by the dramatic rise in suspicious and fraudulent survey submissions. Misinformation associated with survey fraud compromises data quality and data integrity with important implications for scientific conclusions, clinical practice, and social benefit.
View Article and Find Full Text PDFNational Poison Data System Annual Report: under the hood.
Clin Toxicol (Phila)
December 2024
Indiana Poison Center, Indiana University Health, Lebanon, Indiana, USA.
Introduction: The 41st National Poison Data System Annual Report from America's Poison Centers is published in this issue of This Commentary focuses on comparing the different poisoning-related surveillance systems in the United States while highlighting some of the strengths and weaknesses of the National Poison Data System. It also reviews the process underlying the fatality review section of the Annual Report.
Comparison Of Poisoning Surveillance Systems: In order to place the data reported by the National Poison Data System in context, the National Poison Data System was compared to other available poisoning surveillance systems in the United States: the American College of Medical Toxicology's Toxicology Investigators Consortium (ToxIC) Registry, the Centers for Disease Control and Prevention Injury Prevention and Control Web-based Injury Statistics Query and Reporting System (WISQARS) which partners with the Consumer Products Safety Commission's National Electronic Injury Surveillance System - All Injury Program (NEISS-AIP), and the Centers for Disease Control and Prevention Wide-ranging ONline Data for Epidemiologic Research (CDC WONDER) database.
Evaluation of BCRP-Related DDIs Between Methotrexate and Cyclosporin A Using Physiologically Based Pharmacokinetic Modelling.
Drugs R D
December 2024
Galapagos SASU, Romainville, France.
Background And Objective: This study provides a physiologically based pharmacokinetic (PBPK) model-based analysis of the potential drug-drug interaction (DDI) between cyclosporin A (CsA), a breast cancer resistance protein transporter (BCRP) inhibitor, and methotrexate (MTX), a putative BCRP substrate.
Methods: PBPK models for CsA and MTX were built using open-source tools and published data for both model building and for model verification and validation. The MTX and CsA PBPK models were evaluated for their application in simulating BCRP-related DDIs.
Identifying and counteracting fraudulent responses in online recruitment for health research: a scoping review.
BMJ Evid Based Med
December 2024
Westmead Applied Research Centre, School of Medicine, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia.
Objectives: This study aimed to describe how health researchers identify and counteract fraudulent responses when recruiting participants online.
Design: Scoping review.
Eligibility Criteria: Peer-reviewed studies published in English; studies that report on the online recruitment of participants for health research; and studies that specifically describe methodologies or strategies to detect and address fraudulent responses during the online recruitment of research participants.
Internet as a Source of Public Health Information on Acupuncture for Pain Relief: Credibility Assessment and Readability Analysis.
Med Acupunct
December 2024
Department of Health Information Technology and Management, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Background: In recent years, there has been a notable increase in the number of patients seeking information from online health websites. As the information available on these websites can significantly impact the overall health of individuals in a society, it is vital for online health information to be presented in a manner that is readable and credible to the general public. To address this concern, the objective of the study was to examine and assess the credibility and readability of websites about acupuncture as a pain management approach.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!