scholarly journals Acceptability and Predictors of Uptake of Anti-retroviral Pre-exposure Prophylaxis (PrEP) Among Fishing Communities in Uganda: A Cross-Sectional Discrete Choice Experiment Survey

2019 ◽  
Vol 23 (10) ◽  
pp. 2674-2686 ◽  
Author(s):  
Monica O. Kuteesa ◽  
Mathew Quaife ◽  
Sam Biraro ◽  
Kenneth R. Katumba ◽  
Janet Seeley ◽  
...  
2021 ◽  
Author(s):  
Venkatesan Chakrapani ◽  
Peter A. Newman ◽  
Michael Cameron ◽  
Murali Shunmugam ◽  
Surachet Roungprakhon ◽  
...  

2021 ◽  
Author(s):  
Aarón Salinas-Rodríguez ◽  
Sandra G. Sosa-Rubí ◽  
Carlos Chivardi ◽  
Roxana Rodríguez-Franco ◽  
Monica Gandhi ◽  
...  

BMJ Open ◽  
2021 ◽  
Vol 11 (9) ◽  
pp. e049011
Author(s):  
Claudia Cristina de Aguiar Pereira ◽  
Thiago Silva Torres ◽  
Paula Mendes Luz ◽  
Brenda Hoagland ◽  
Alessandro Farias ◽  
...  

IntroductionPre-exposure prophylaxis (PrEP) is an important and well-established prevention strategy for sexual acquisition of HIV. In Brazil, transgender women (TGW) and men who have sex with men (MSM) bear the largest burden among key populations. Little is known about preferences for PrEP characteristics in these vulnerable populations in Latin America. The goal of this study is to investigate preferences of TGW and MSM with respect to PrEP characteristics, whether current user or not, and to assess any attributes and levels that may improve the decision to start using PrEP (uptake) and optimal continuity of use (adherence), which are important dimensions for PrEP success.Methods and analysisWe hereby outline the protocol of a discrete choice experiment (DCE) to be conducted among TGW and MSM in Brazil. The study will be carried out in two phases. The first phase involves literature review and qualitative approaches including in-depth interviews to inform the development of the DCE (attributes and levels). The second phase entails the DCE survey and supporting questions pertaining to sociodemographic and risk behaviour information. The survey is aimed at current PrEP users and non-users, consisting of two modes of administration: face to face in five Brazilian capitals (Rio de Janeiro, Brasília, Manaus, Porto Alegre and Salvador) and online targeting the entire country. A D-efficient zero-prior blocked experimental design will be used to select 60 paired-profile DCE choice tasks, in which participants will be randomly assigned to one of four groups and presented with a set of 15 choice tasks. The planned sample size is 1000 volunteers.Ethics, timeline and disseminationThe study was approved by Comitê de Ética em Pesquisa—Instituto Nacional de Infectologia Evandro Chagas—INI/FIOCRUZ, CEP/INI, CAAE 28416220.2.1001.5262, approval number 3.979.759 in accordance with the Comissão Nacional de Ética em Pesquisa (CONEP—Brazilian National Board of Research Ethics). The study will be conducted between 2020 and 2021. The results will be disseminated to the scientific community and to the public in general through publications in published in peer-reviewed journals and in scientific conferences.


2019 ◽  
Vol 24 (5) ◽  
pp. 1294-1303 ◽  
Author(s):  
Kathryn E. Lancaster ◽  
Thandie Lungu ◽  
Agatha Bula ◽  
Jaclyn M. Shea ◽  
Abigail Shoben ◽  
...  

Author(s):  
Richard Huan Xu ◽  
Lingming Zhou ◽  
Yong Li ◽  
Dong Wang

This cross-sectional survey study explored whether doctors in Guangdong, China preferred to provide extra healthcare services within the context of their medical alliances (MAs). Specifically, a discrete choice experiment (DCE) was conducted to investigate whether doctors preferred to provide extra services at low-tier hospitals within their MAs. A literature review, focus group interview, and expert group discussion resulted in three main attributes (i.e., working time, income, and hospital location) and corresponding levels, which were combined to create 24 profiles that were randomly presented to participants. A conditional logit model was then employed to calculate utility scores for all profiles. A total of 311 doctors completed the DCE questionnaire. The coefficients for each level within the three attributes were ordered and found to be statistically significant. Working time had the greatest influence on utility scores, increasing by one hour per week (beta = 1.4, odds ratio (OR) = 4.07, p < 0.001), followed by income, which increased by 30% per month (beta = 1.19, OR = 3.3, p < 0.001). The utility scores for all profiles ranged between −0.27 and 3.07. Findings indicated that participants made trade-offs with respect to providing extra services within their MAs. Furthermore, utility varied between different subpopulations.


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