Literature DB >> 26149160

Communicating HIV Results to Low-Risk Individuals: Still Hazy After All These Years.

Katrina M Ellis1, Gary L Brase.   

Abstract

Revised Centers for Disease Control and Prevention recommendations on HIV testing now promote testing of most risk groups. However, positive results for low-risk individuals are more likely to be false positives than for high-risk individuals, making clear communication of test results even more imperative. In a study, we evaluated current counseling of low-risk test recipients via a sample of 29 HIV hotline counselors from U.S. state and national hotlines. 100% of counselors interviewed failed to provide an accurate conditional HIV risk for low-risk women, but were more likely than a 1998 German sample to report that false positives could occur. In a second study, undergraduates read idealized transcripts of interviews with HIV counselors and computed conditional risk for a low-risk individual. The natural frequency format offered a small but significant improvement in conditional reasoning, comparable to the effect of numerical literacy. Applications for ecologically valid numerical presentations of risk and implications for numeracy are discussed.

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Mesh:

Year:  2015        PMID: 26149160     DOI: 10.2174/1570162x13666150511125629

Source DB:  PubMed          Journal:  Curr HIV Res        ISSN: 1570-162X            Impact factor:   1.581


  3 in total

1.  Studies for the Evaluation of Diagnostic Tests–Part 28 of a Series on Evaluation of Scientific Publications.

Authors:  Annika Hoyer; Antonia Zapf
Journal:  Dtsch Arztebl Int       Date:  2021-08-23       Impact factor: 5.594

2.  Tversky and Kahneman's Cognitive Illusions: Who Can Solve Them, and Why?

Authors:  Georg Bruckmaier; Stefan Krauss; Karin Binder; Sven Hilbert; Martin Brunner
Journal:  Front Psychol       Date:  2021-04-12

3.  Visualizing the Bayesian 2-test case: The effect of tree diagrams on medical decision making.

Authors:  Karin Binder; Stefan Krauss; Georg Bruckmaier; Jörg Marienhagen
Journal:  PLoS One       Date:  2018-03-27       Impact factor: 3.240

  3 in total

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