Literature DB >> 34839777

Integrating a web-based survey application into Qualtrics to collect risk location data for HIV prevention research.

Abby E Rudolph1.   

Abstract

Aspects of the physical and social environment play an important role in shaping HIV-related risk/prevention behaviors and access to prevention and treatment services. Here, we describe the feasibility of integrating a web-based survey application to collect risk locations into Qualtrics and compare this approach with a JavaScript-based alternative. Between 2017 and 2018, we enrolled 29 persons living with HIV in Boston Massachusetts to complete an interviewer-administered questionnaire using Qualtrics. Surveys collected demographics; sex/drug use risk behaviors; locations where participants met sex partners, had condomless sex, attended group sex events, and shared a syringe or injection equipment with someone else (up to 10 locations each); and the locations where participants (a) had sex with each sex partner (past 6 months) and (b) used drugs with each drug use partner (past 6 months). Location data were collected using embedded links to an encrypted web-based survey application. Overall, participants provided valid coordinates 93% of the time; when an exact location was not provided, a neighborhood was provided instead, resulting in little missing data. Our findings suggest that this web-based data collection tool (alone or with embedded links in Qualtrics) is a feasible and secure option for collecting risk location data.

Entities:  

Mesh:

Year:  2021        PMID: 34839777      PMCID: PMC9016781          DOI: 10.1080/09540121.2021.2008860

Source DB:  PubMed          Journal:  AIDS Care        ISSN: 0954-0121


  20 in total

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Journal:  Soc Sci Med       Date:  2000-10       Impact factor: 4.634

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Journal:  Epidemiol Rev       Date:  2004       Impact factor: 6.222

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Authors:  Arleen A Leibowitz; Stephanie L Taylor
Journal:  Med Care Res Rev       Date:  2007-08-28       Impact factor: 3.929

Review 5.  Separate and unequal: residential segregation and black health disparities.

Authors:  Hope Landrine; Irma Corral
Journal:  Ethn Dis       Date:  2009       Impact factor: 1.847

6.  GPS-measured distance to clinic, but not self-reported transportation factors, are associated with missed HIV clinic visits in rural Uganda.

Authors:  Mark J Siedner; Alexander Lankowski; Alexander C Tsai; Conrad Muzoora; Jeffrey N Martin; Peter W Hunt; Jessica E Haberer; David R Bangsberg
Journal:  AIDS       Date:  2013-06-01       Impact factor: 4.177

7.  Patterns of geographic mobility predict barriers to engagement in HIV care and antiretroviral treatment adherence.

Authors:  Barbara S Taylor; Emily Reyes; Elizabeth A Levine; Shah Z Khan; L Sergio Garduño; Yeycy Donastorg; Scott M Hammer; Karen Brudney; Jennifer S Hirsch
Journal:  AIDS Patient Care STDS       Date:  2014-05-19       Impact factor: 5.078

Review 8.  Racial/ethnic residential segregation: framing the context of health risk and health disparities.

Authors:  Kellee White; Luisa N Borrell
Journal:  Health Place       Date:  2010-12-14       Impact factor: 4.078

9.  An examination of places where African American men who have sex with men (MSM) use drugs/drink alcohol: a focus on social and spatial characteristics.

Authors:  Karin E Tobin; Carl A Latkin; Frank C Curriero
Journal:  Int J Drug Policy       Date:  2013-12-17

10.  Use of a Google Map Tool Embedded in an Internet Survey Instrument: Is it a Valid and Reliable Alternative to Geocoded Address Data?

Authors:  Sharoda Dasgupta; Adam S Vaughan; Michael R Kramer; Travis H Sanchez; Patrick S Sullivan
Journal:  JMIR Res Protoc       Date:  2014-04-10
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