Literature DB >> 34453239

Preferences for Conditional Economic Incentives to Improve Pre-exposure Prophylaxis Adherence: A Discrete Choice Experiment Among Male Sex Workers in Mexico.

Aarón Salinas-Rodríguez1, Sandra G Sosa-Rubí2, Carlos Chivardi3, Roxana Rodríguez-Franco2, Monica Gandhi4, Kenneth H Mayer5, Don Operario6, Nathalie Gras-Allain7, Galileo Vargas-Guadarrama7, Omar Galárraga8.   

Abstract

Pre-exposure prophylaxis (PrEP) is highly effective in preventing HIV but requires sustained adherence. Conditional economic incentives (CEIs) can improve medication-taking behaviors, yet preferences for programs that employ CEIs to increase PrEP use among male sex workers (MSWs) have not been investigated. We conducted a discrete choice experiment in Mexico City to elicit stated preferences for a CEI-based PrEP adherence program among MSWs. Respondents expressed their preferences for different program characteristics: incentive amount; incentive format; incentive type; and adherence-verification method. We used a random utility logit model to estimate the relative importance of each attribute and estimated willingness-to-pay. MSWs preferred a higher, fixed incentive, with PrEP adherence measured via hair sampling. MSWs were willing to forego up to 21% of their potential maximum CEI amount to ensure receipt of a fixed payment. MSWs are highly willing to accept a CEI-based intervention for PrEP adherence, if offered along with fixed payments.
© 2021. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Adherence; Discrete choice experiment; HIV; Male sex workers; PrEP; Willingness to accept

Mesh:

Year:  2021        PMID: 34453239      PMCID: PMC8840956          DOI: 10.1007/s10461-021-03443-1

Source DB:  PubMed          Journal:  AIDS Behav        ISSN: 1090-7165


  29 in total

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Authors:  Anandi Mani; Sendhil Mullainathan; Eldar Shafir; Jiaying Zhao
Journal:  Science       Date:  2013-08-30       Impact factor: 47.728

2.  Statistical Methods for the Analysis of Discrete Choice Experiments: A Report of the ISPOR Conjoint Analysis Good Research Practices Task Force.

Authors:  A Brett Hauber; Juan Marcos González; Catharina G M Groothuis-Oudshoorn; Thomas Prior; Deborah A Marshall; Charles Cunningham; Maarten J IJzerman; John F P Bridges
Journal:  Value Health       Date:  2016-05-12       Impact factor: 5.725

3.  Crucial but understudied: incentives in HIV research.

Authors:  Brandon Brown; Jerome T Galea; Karine Dubé
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4.  Using qualitative methods for attribute development for discrete choice experiments: issues and recommendations.

Authors:  Joanna Coast; Hareth Al-Janabi; Eileen J Sutton; Susan A Horrocks; A Jane Vosper; Dawn R Swancutt; Terry N Flynn
Journal:  Health Econ       Date:  2011-05-06       Impact factor: 3.046

5.  Facilitators and barriers to medication adherence in an HIV prevention study among men who have sex with men in the iPrEx study in Chiang Mai, Thailand.

Authors:  Arunrat Tangmunkongvorakul; Suwat Chariyalertsak; K Rivet Amico; Pongpun Saokhieo; Vorawan Wannalak; Thirayut Sangangamsakun; Pedro Goicochea; Robert Grant
Journal:  AIDS Care       Date:  2012-12-19

6.  iSAY (incentives for South African youth): Stated preferences of young people living with HIV.

Authors:  Omar Galárraga; Caroline Kuo; Bulelwa Mtukushe; Brendan Maughan-Brown; Abigail Harrison; Jackie Hoare
Journal:  Soc Sci Med       Date:  2020-08-29       Impact factor: 4.634

7.  Facilitators and barriers affecting PrEP adherence among Thai men who have sex with men (MSM) in the HPTN 067/ADAPT Study.

Authors:  Tareerat Chemnasiri; Anchalee Varangrat; K Rivet Amico; Anupong Chitwarakorn; Bonnie J Dye; Robert M Grant; Timothy H Holtz
Journal:  AIDS Care       Date:  2019-06-03

8.  The disproportionate burden of HIV and STIs among male sex workers in Mexico City and the rationale for economic incentives to reduce risks.

Authors:  Omar Galárraga; Sandra G Sosa-Rubí; Andrea González; Florentino Badial-Hernández; Carlos J Conde-Glez; Luis Juárez-Figueroa; Sergio Bautista-Arredondo; Caroline Kuo; Don Operario; Kenneth H Mayer
Journal:  J Int AIDS Soc       Date:  2014-11-14       Impact factor: 5.396

9.  Incidence and time-varying predictors of HIV and sexually transmitted infections among male sex workers in Mexico City.

Authors:  Karla Y Ganley; Marta Wilson-Barthes; Andrew R Zullo; Sandra G Sosa-Rubí; Carlos J Conde-Glez; Santa García-Cisneros; Mark N Lurie; Brandon D L Marshall; Don Operario; Kenneth H Mayer; Omar Galárraga
Journal:  Infect Dis Poverty       Date:  2021-01-19       Impact factor: 4.520

10.  Strong relationship between oral dose and tenofovir hair levels in a randomized trial: hair as a potential adherence measure for pre-exposure prophylaxis (PrEP).

Authors:  Albert Y Liu; Qiyun Yang; Yong Huang; Peter Bacchetti; Peter L Anderson; Chengshi Jin; Kathy Goggin; Kristefer Stojanovski; Robert Grant; Susan P Buchbinder; Ruth M Greenblatt; Monica Gandhi
Journal:  PLoS One       Date:  2014-01-08       Impact factor: 3.240

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  3 in total

Review 1.  Preferences for pre-exposure prophylaxis for HIV: A systematic review of discrete choice experiments.

Authors:  Luh Putu Lila Wulandari; Shi Yi He; Christopher K Fairley; Benjamin R Bavinton; Heather Marie-Schmidt; Virginia Wiseman; Rebecca Guy; Weiming Tang; Lei Zhang; Jason J Ong
Journal:  EClinicalMedicine       Date:  2022-07-09

2.  Adolescent and young adult preferences for financial incentives to support adherence to antiretroviral therapy in Kenya: a mixed methods study.

Authors:  Ingrid Eshun-Wilson; Eliud Akama; Fridah Adhiambo; Zachary Kwena; Bertha Oketch; Sarah Obatsa; Sarah Iguna; Jayne L Kulzer; James Nyanga; Everlyne Nyandieka; Ally Scheve; Elvin H Geng; Elizabeth A Bukusi; Lisa Abuogi
Journal:  J Int AIDS Soc       Date:  2022-09       Impact factor: 6.707

Review 3.  Using Behavioral Economics to Support PrEP Adherence for HIV Prevention.

Authors:  Unmesha Roy Paladhi; David A Katz; Carey Farquhar; Harsha Thirumurthy
Journal:  Curr HIV/AIDS Rep       Date:  2022-08-31       Impact factor: 5.495

  3 in total

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