Literature DB >> 32500813

An Approach to Reducing Problematic Data in an ACASI Sexual Behavior Assessment.

Lance M Pollack1, John A Sauceda1, Paul D Cotten1, Johnny Blair2, William J Woods1.   

Abstract

Minimizing error in self-reported sexual behavior could reduce investigators' likelihood of rejecting truly successful interventions to decrease HIV and STI transmission risk. Sexual behavior assessments can elicit problematic data. This may manifest in the form of elevated levels of non-response, inaccurate point estimates, or misclassification errors resulting in inappropriately answering or, perhaps more importantly, skipping questions. We programed conversational interviewing elements into 20 sexual behavior questions in an exit survey of gay bathhouse patrons (N = 459) administered using ACASI. Those elements, called alternate pathways, included follow-up questions to responses to confirm that operational definitions were applied in the answer (with return to the initial question if confirmation failed), and assurances of confidentiality and requests for best guesses in reaction to non-response (including "don't know"). These elements were invoked in nearly 10% of participants, and approximately 74% of all invocations resulted in a usable numeric response, or 87% if the data need only estimate prevalence. Almost two-thirds of the problematic data issues occurred in answers to sexual contact questions, with others related to follow-up questions about specific sexual behavior. It is at this level of important filtering questions where the benefits of the approach are likely to be maximized.

Entities:  

Mesh:

Year:  2020        PMID: 32500813      PMCID: PMC7718405          DOI: 10.1080/00224499.2020.1766402

Source DB:  PubMed          Journal:  J Sex Res        ISSN: 0022-4499


  28 in total

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Authors:  F G Conrad; M F Schober
Journal:  Public Opin Q       Date:  2000

2.  Validity of Self-reported Sexual Behavior Among Adolescents: Where Do We Go from Here?

Authors:  Ralph J DiClemente
Journal:  AIDS Behav       Date:  2016-01

3.  Probability sample estimates of bathhouse sexual risk behavior.

Authors:  William J Woods; Diane Binson; Johnny Blair; Lei Han; Freya Spielberg; Lance M Pollack
Journal:  J Acquir Immune Defic Syndr       Date:  2007-06-01       Impact factor: 3.731

4.  A comparison of audio computer-assisted self-interviews to face-to-face interviews of sexual behavior among perinatally HIV-exposed youth.

Authors:  Curtis Dolezal; Stephanie L Marhefka; E Karina Santamaria; Cheng-Shiun Leu; Elizabeth Brackis-Cott; Claude Ann Mellins
Journal:  Arch Sex Behav       Date:  2011-05-21

5.  HIV transmission risk at a gay bathhouse.

Authors:  Diane Binson; Lance M Pollack; Johnny Blair; William J Woods
Journal:  J Sex Res       Date:  2010-11

6.  Partner Disclosure of PrEP Use and Undetectable Viral Load on Geosocial Networking Apps: Frequency of Disclosure and Decisions About Condomless Sex.

Authors:  Michael E Newcomb; Melissa C Mongrella; Benjamin Weis; Samuel J McMillen; Brian Mustanski
Journal:  J Acquir Immune Defic Syndr       Date:  2016-02-01       Impact factor: 3.731

7.  What are the motivations and barriers to pre-exposure prophylaxis (PrEP) use among black men who have sex with men aged 18-45 in London? Results from a qualitative study.

Authors:  T Charles Witzel; Will Nutland; Adam Bourne
Journal:  Sex Transm Infect       Date:  2019-03-04       Impact factor: 3.519

8.  HIV risk behavior self-report reliability at different recall periods.

Authors:  Lucy E Napper; Dennis G Fisher; Grace L Reynolds; Mark E Johnson
Journal:  AIDS Behav       Date:  2009-05-28

9.  Effect sizes for 2×2 contingency tables.

Authors:  Jake Olivier; Melanie L Bell
Journal:  PLoS One       Date:  2013-03-07       Impact factor: 3.240

10.  PrEP implementation by local health departments in US cities and counties: Findings from a 2015 assessment of local health departments.

Authors:  Gretchen Weiss; Dawn K Smith; Sarah Newman; Jeffrey Wiener; Alyssa Kitlas; Karen W Hoover
Journal:  PLoS One       Date:  2018-07-25       Impact factor: 3.240

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