Literature DB >> 28332037

Comparing Self-Reported Demographic and Sexual Behavioral Factors Among Men Who Have Sex with Men Recruited Through Mechanical Turk, Qualtrics, and a HIV/STI Clinic-Based Sample: Implications for Researchers and Providers.

Matthew R Beymer1,2, Ian W Holloway3, Christian Grov4.   

Abstract

Recruitment for HIV research among gay, bisexual, and other men who have sex with men (MSM) has increasingly moved to the online sphere. However, there are limited data comparing the characteristics of clinic-based respondents versus those recruited via online survey platforms. MSM were recruited from three sampling sites (STI clinic, MTurk, and Qualtrics) to participate in a survey from March 2015 to April 2016. Respondents were compared between each of the sampling sites on demographics, sexual history, substance use, and attention filter passage. Attention filter passage was high for the online sampling sites (MTurk = 93%; Qualtrics = 86%), but significantly lower for the clinic-based sampling site (72%). Clinic-based respondents were significantly more racially/ethnically diverse, reported lower income, and reported more unemployment than online respondents. Clinic-based respondents reported significantly more male sexual partners in the previous 3 months (M clinic-based = 6; MTurk = 3.6; Qualtrics = 4.5), a higher proportion of gonorrhea, chlamydia, and/or syphilis in the last year, and a greater proportion of methamphetamine use (clinic-based = 21%; MTurk = 5%), and inhaled nitrates use (clinic-based = 41%; MTurk = 11%). The clinic-based sample demonstrated more demographic diversity and a greater proportion of HIV risk behaviors when compared to the online samples, but also a relatively low attention filter passage rate. We recommend the use of attention filters across all modalities to assess response validity and urge caution with online survey engines as samples may differ demographically and behaviorally when compared to clinic-based respondents.

Entities:  

Keywords:  Attention filters; HIV; MTurk; Qualtrics; Sexual orientation; Survey methods

Mesh:

Year:  2017        PMID: 28332037      PMCID: PMC5610054          DOI: 10.1007/s10508-016-0932-y

Source DB:  PubMed          Journal:  Arch Sex Behav        ISSN: 0004-0002


  25 in total

1.  COMPARING THE EFFECTIVENESS OF TWO FORMS OF TIME-SPACE SAMPLING TO IDENTIFY CLUB DRUG-USING YOUNG ADULTS.

Authors:  Jeffrey T Parsons; Christian Grov; Brian C Kelly
Journal:  J Drug Issues       Date:  2008

2.  Reputation as a sufficient condition for data quality on Amazon Mechanical Turk.

Authors:  Eyal Peer; Joachim Vosgerau; Alessandro Acquisti
Journal:  Behav Res Methods       Date:  2014-12

3.  Finding and recruiting the highest risk HIV-negative men who have sex with men.

Authors:  Andrea C Vial; Tyrel J Starks; Jeffrey T Parsons
Journal:  AIDS Educ Prev       Date:  2014-02

4.  HIV risk and substance use in men who have sex with men surveyed in bathhouses, bars/clubs, and on Craigslist.org: venue of recruitment matters.

Authors:  Christian Grov
Journal:  AIDS Behav       Date:  2012-05

5.  Recruiting a U.S. national sample of HIV-negative gay and bisexual men to complete at-home self-administered HIV/STI testing and surveys: Challenges and Opportunities.

Authors:  Christian Grov; Demetria Cain; Thomas H F Whitfield; H Jonathon Rendina; Mark Pawson; Ana Ventuneac; Jeffrey T Parsons
Journal:  Sex Res Social Policy       Date:  2016-03-01

6.  Recruiting hard-to-reach drug-using men who have sex with men into an intervention study: lessons learned and implications for applied research.

Authors:  Christian Grov; Donald Bux; Jeffrey T Parsons; Jon Morgenstern
Journal:  Subst Use Misuse       Date:  2009       Impact factor: 2.164

7.  Comparing the reliability of responses to telephone-administered versus self-administered Web-based surveys in a case-control study of adult malignant brain cancer.

Authors:  Kristin M Rankin; Garth H Rauscher; Bridget McCarthy; Serap Erdal; Pat Lada; Dora Il'yasova; Faith Davis
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2008-10       Impact factor: 4.254

8.  Comparing internet-based and venue-based methods to sample MSM in the San Francisco Bay Area.

Authors:  H Fisher Raymond; Greg Rebchook; Alberto Curotto; Jason Vaudrey; Matthew Amsden; Deb Levine; Willi McFarland
Journal:  AIDS Behav       Date:  2009-01-22

9.  Common (mis)beliefs about memory: a replication and comparison of telephone and Mechanical Turk survey methods.

Authors:  Daniel J Simons; Christopher F Chabris
Journal:  PLoS One       Date:  2012-12-18       Impact factor: 3.240

10.  Bias in online recruitment and retention of racial and ethnic minority men who have sex with men.

Authors:  Patrick S Sullivan; Christine M Khosropour; Nicole Luisi; Matthew Amsden; Tom Coggia; Gina M Wingood; Ralph J DiClemente
Journal:  J Med Internet Res       Date:  2011-05-13       Impact factor: 5.428

View more
  10 in total

1.  Seeing Is Believing? Unique Capabilities of Internet-Only Studies as a Tool for Implementation Research on HIV Prevention for Men Who Have Sex With Men: A Review of Studies and Methodological Considerations.

Authors:  Christian Grov; Drew Westmoreland; H Jonathon Rendina; Denis Nash
Journal:  J Acquir Immune Defic Syndr       Date:  2019-12       Impact factor: 3.731

Review 2.  The CAN-DO-IT Model: a Process for Developing and Refining Online Recruitment in HIV/AIDS and Sexual Health Research.

Authors:  Kathryn Macapagal; Dennis H Li; Antonia Clifford; Krystal Madkins; Brian Mustanski
Journal:  Curr HIV/AIDS Rep       Date:  2020-06       Impact factor: 5.071

3.  Considerations for partnering with Ryan White Case Managers to create equitable opportunities for people with HIV to participate in research.

Authors:  Elizabeth Lockhart; DeAnne Turner; Jerome T Galea; Stephanie L Marhefka
Journal:  PLoS One       Date:  2022-10-19       Impact factor: 3.752

4.  Relationships among Substance Use, Sociodemographics, Pre-Exposure Prophylaxis (PrEP) Awareness and Related Attitudes among Young Adult Men Who Have Sex with Men.

Authors:  Nioud Mulugeta Gebru; Maria Costanza Benvenuti; Bonnie H P Rowland; Meher Kalkat; Patricia G Chauca; Robert F Leeman
Journal:  Subst Use Misuse       Date:  2022-02-21       Impact factor: 2.362

5.  Preferences for HIV Preexposure Prophylaxis Products Among Black Women in the U.S.

Authors:  Whitney C Irie; Sarah K Calabrese; Rupa R Patel; Kenneth H Mayer; Elvin H Geng; Julia L Marcus
Journal:  AIDS Behav       Date:  2022-01-05

6.  "They know what they are getting into:" Researchers confront the benefits and challenges of online recruitment for HIV research.

Authors:  Elise Bragard; Celia B Fisher; Brenda L Curtis
Journal:  Ethics Behav       Date:  2019-11-27

7.  Sleep disorders reveal distress among children and adolescents during the Covid-19 first wave: results of a large web-based Italian survey.

Authors:  Arianna Dondi; Anna Fetta; Jacopo Lenzi; Francesca Morigi; Egidio Candela; Alessandro Rocca; Duccio Maria Cordelli; Marcello Lanari
Journal:  Ital J Pediatr       Date:  2021-06-04       Impact factor: 2.638

8.  The Relationship Between Perception of HIV Susceptibility and Willingness to Discuss PrEP With a Health Care Provider: A Pilot Study.

Authors:  Gregory Carter; Brennan Woodward
Journal:  Am J Mens Health       Date:  2020 May-Jun

9.  PrEP Interest Among Men Who Have Sex with Men in the Netherlands: Covariates and Differences Across Samples.

Authors:  Mart van Dijk; Sascha B Duken; Rosemary M Delabre; Richard Stranz; Vincent Schlegel; Daniela Rojas Castro; Adeline Bernier; Paul Zantkuijl; Robert A C Ruiter; John B F de Wit; Kai J Jonas
Journal:  Arch Sex Behav       Date:  2020-03-02

10.  Primary care providers as a critical access point to HIV information and services for African American and Latinx communities.

Authors:  Gregory Carter; Brennan Woodward; Anita Ohmit; Andrew Gleissner; Meredith Short
Journal:  PLoS One       Date:  2021-02-04       Impact factor: 3.240

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.