Literature DB >> 31210551

Using HIV Risk Prediction Tools to Identify Candidates for Pre-Exposure Prophylaxis: Perspectives from Patients and Primary Care Providers.

Melissa B Gilkey1,2, Julia L Marcus3,4, Jacob M Garrell5, Victoria E Powell3,6, Kevin M Maloney7, Douglas S Krakower3,4,6.   

Abstract

Clinical guidelines for HIV pre-exposure prophylaxis (PrEP) include risk prediction tools to identify appropriate candidates. We conducted a qualitative interview study to explore the potential acceptability, interpretation, and anticipated impact of such tools from the perspectives of men who have sex with men (MSM) and primary care providers (PCPs). Our purposive sample of English-speaking participants included: (1) MSM reporting HIV risk behaviors (n = 32; median age = 38 years; 53% non-Hispanic white; 22% high school degree or less education); (2) PCPs specializing in health care for MSM (n = 12); and (3) PCPs in general practice (n = 19). MSM participants questioned the ability of risk tools to predict HIV acquisition, and their perceptions of what might constitute a high HIV risk score varied widely. Many MSM participants believed that receiving a high score would prompt them to consider PrEP or other risk reduction strategies. Some believed that the data would be useful, particularly if discussed with their providers, whereas others anticipated feeling fear, anxiety, or mistrust. PCPs expressed more confidence in HIV risk prediction and imagined integrating tools with medical histories and their clinical judgment to assess risk. PCPs were most enthusiastic about adopting HIV risk prediction as a teaching tool to help patients visualize and reduce risk, their concerns about time constraints notwithstanding. In conclusion, our findings suggest that PCPs' views of HIV risk prediction tools are generally positive, whereas MSM participants' are more mixed. Given that both groups emphasized the value of contextualizing risk, shared decision making may be needed to implement HIV risk prediction tools effectively.

Entities:  

Keywords:  HIV/AIDS; decision making; prevention; primary care; risk communication

Year:  2019        PMID: 31210551      PMCID: PMC6661917          DOI: 10.1089/apc.2019.0056

Source DB:  PubMed          Journal:  AIDS Patient Care STDS        ISSN: 1087-2914            Impact factor:   5.078


  43 in total

1.  Preexposure chemoprophylaxis for HIV prevention in men who have sex with men.

Authors:  Robert M Grant; Javier R Lama; Peter L Anderson; Vanessa McMahan; Albert Y Liu; Lorena Vargas; Pedro Goicochea; Martín Casapía; Juan Vicente Guanira-Carranza; Maria E Ramirez-Cardich; Orlando Montoya-Herrera; Telmo Fernández; Valdilea G Veloso; Susan P Buchbinder; Suwat Chariyalertsak; Mauro Schechter; Linda-Gail Bekker; Kenneth H Mayer; Esper Georges Kallás; K Rivet Amico; Kathleen Mulligan; Lane R Bushman; Robert J Hance; Carmela Ganoza; Patricia Defechereux; Brian Postle; Furong Wang; J Jeff McConnell; Jia-Hua Zheng; Jeanny Lee; James F Rooney; Howard S Jaffe; Ana I Martinez; David N Burns; David V Glidden
Journal:  N Engl J Med       Date:  2010-11-23       Impact factor: 91.245

Review 2.  Pre-Exposure Prophylaxis: A Narrative Review of Provider Behavior and Interventions to Increase PrEP Implementation in Primary Care.

Authors:  Andrew Silapaswan; Douglas Krakower; Kenneth H Mayer
Journal:  J Gen Intern Med       Date:  2016-10-19       Impact factor: 5.128

Review 3.  Successes and challenges of HIV prevention in men who have sex with men.

Authors:  Patrick S Sullivan; Alex Carballo-Diéguez; Thomas Coates; Steven M Goodreau; Ian McGowan; Eduard J Sanders; Adrian Smith; Prabuddhagopal Goswami; Jorge Sanchez
Journal:  Lancet       Date:  2012-07-20       Impact factor: 79.321

4.  Estimates of adults with indications for HIV pre-exposure prophylaxis by jurisdiction, transmission risk group, and race/ethnicity, United States, 2015.

Authors:  Dawn K Smith; Michelle Van Handel; Jeremy Grey
Journal:  Ann Epidemiol       Date:  2018-05-18       Impact factor: 3.797

5.  Implementation of Preexposure Prophylaxis for Human Immunodeficiency Virus Prevention Among Men Who Have Sex With Men at a New England Sexually Transmitted Diseases Clinic.

Authors:  Philip A Chan; Tiffany R Glynn; Catherine E Oldenburg; Madeline C Montgomery; Ashley E Robinette; Alexi Almonte; Julia Raifman; Leandro Mena; Rupa Patel; Kenneth H Mayer; Laura S Beauchamps; Amy S Nunn
Journal:  Sex Transm Dis       Date:  2016-11       Impact factor: 2.830

6.  Addressing Gaps in HIV Preexposure Prophylaxis Care to Reduce Racial Disparities in HIV Incidence in the United States.

Authors:  Samuel M Jenness; Kevin M Maloney; Dawn K Smith; Karen W Hoover; Steven M Goodreau; Eli S Rosenberg; Kevin M Weiss; Albert Y Liu; Darcy W Rao; Patrick S Sullivan
Journal:  Am J Epidemiol       Date:  2019-04-01       Impact factor: 4.897

7.  PrEP Awareness, Familiarity, Comfort, and Prescribing Experience among US Primary Care Providers and HIV Specialists.

Authors:  Andrew E Petroll; Jennifer L Walsh; Jill L Owczarzak; Timothy L McAuliffe; Laura M Bogart; Jeffrey A Kelly
Journal:  AIDS Behav       Date:  2017-05

8.  Contrasting Self-Perceived Need and Guideline-Based Indication for HIV Pre-Exposure Prophylaxis Among Young, Black Men Who Have Sex with Men Offered Pre-Exposure Prophylaxis in Atlanta, Georgia.

Authors:  Annie Lockard; Eli S Rosenberg; Patrick S Sullivan; Colleen F Kelley; David P Serota; Charlotte-Paige M Rolle; Nicole Luisi; Emily Pingel; Aaron J Siegler
Journal:  AIDS Patient Care STDS       Date:  2019-03       Impact factor: 5.078

Review 9.  How numeracy influences risk comprehension and medical decision making.

Authors:  Valerie F Reyna; Wendy L Nelson; Paul K Han; Nathan F Dieckmann
Journal:  Psychol Bull       Date:  2009-11       Impact factor: 17.737

10.  Knowledge, Beliefs and Practices Regarding Antiretroviral Medications for HIV Prevention: Results from a Survey of Healthcare Providers in New England.

Authors:  Douglas S Krakower; Catherine E Oldenburg; Jennifer A Mitty; Ira B Wilson; Ann E Kurth; Kevin M Maloney; Donna Gallagher; Kenneth H Mayer
Journal:  PLoS One       Date:  2015-07-06       Impact factor: 3.240

View more
  8 in total

Review 1.  Artificial Intelligence and Machine Learning for HIV Prevention: Emerging Approaches to Ending the Epidemic.

Authors:  Julia L Marcus; Whitney C Sewell; Laura B Balzer; Douglas S Krakower
Journal:  Curr HIV/AIDS Rep       Date:  2020-06       Impact factor: 5.071

2.  Health Care Providers' Views on Clinic Infrastructure and Practice Models That May Facilitate HIV Preexposure Prophylaxis (PrEP) Prescribing: A Qualitative Meta-Synthesis.

Authors:  Yuko Mizuno; Deborah J Gelaude; Nicole Crepaz; Emiko Kamitani; Julia B DeLuca; Carolyn A Leighton; Megan E Wichser; Dawn K Smith
Journal:  Health Promot Pract       Date:  2021-09-22

3.  Acceptability of electronic healthcare predictive analytics for HIV prevention: a qualitative study with men who have sex with men in New York City.

Authors:  Jennifer J Mootz; Henry Evans; Jack Tocco; Christian Vivar Ramon; Peter Gordon; Milton L Wainberg; Michael T Yin
Journal:  Mhealth       Date:  2020-04-05

Review 4.  Patient-Led Decision-Making for HIV Preexposure Prophylaxis.

Authors:  Whitney C Sewell; Patricia Solleveld; Dominika Seidman; Christine Dehlendorf; Julia L Marcus; Douglas S Krakower
Journal:  Curr HIV/AIDS Rep       Date:  2021-01-08       Impact factor: 5.071

5.  HIV Information Acquisition and Use Among Young Black Men Who Have Sex With Men Who Use the Internet: Mixed Methods Study.

Authors:  Megan Threats; Keosha Bond
Journal:  J Med Internet Res       Date:  2021-05-07       Impact factor: 5.428

6.  A Primary Care Intervention to Increase HIV Pre-Exposure Prophylaxis (PrEP) Uptake in Patients with Syphilis.

Authors:  Ryan Bonner; Jessica Stewart; Ashish Upadhyay; R Douglas Bruce; Jessica L Taylor
Journal:  J Int Assoc Provid AIDS Care       Date:  2022 Jan-Dec

7.  Understanding Pre-Exposure Prophylaxis Adherence in Young Women in Kenya.

Authors:  Jessica E Haberer; Nelly Mugo; Elizabeth Ann Bukusi; Kenneth Ngure; Catherine Kiptinness; Kevin Oware; Lindsey E Garrison; Nicholas Musinguzi; Maria Pyra; Susie Valenzuela; Katherine K Thomas; Peter L Anderson; Harsha Thirumurthy; Jared M Baeten
Journal:  J Acquir Immune Defic Syndr       Date:  2022-03-01       Impact factor: 3.771

8.  Age-Specific Risk Scores Do Not Improve HIV-1 Prediction Among Women in South Africa.

Authors:  Kathryn Peebles; Thesla Palanee-Phillips; Jennifer E Balkus; Ivana Beesham; Heeran Makkan; Jennifer Deese; Jennifer Smit; Renee Heffron; Charles S Morrison; Neena M Philip; Mookho Malahleha; Margaret Kasaro; Yuthika Naidoo; Tanya Nielson; Krishnaveni Reddy; Philip Kotze; Khatija Ahmed; Helen Rees; Jared M Baeten; Ruanne V Barnabas
Journal:  J Acquir Immune Defic Syndr       Date:  2020-10-01       Impact factor: 3.771

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.