scholarly journals P189 Preferences of people living with HIV for injectable and oral antiretroviral treatment in the Netherlands: a discrete choice experiment

Author(s):  
I Kremer ◽  
C Beaudart ◽  
J Simons ◽  
H Plieger ◽  
M Schroeder ◽  
...  
2021 ◽  
Vol 24 (10) ◽  
Author(s):  
Jan Ostermann ◽  
Valerie Yelverton ◽  
Helene J. Smith ◽  
Mirriam Nanyangwe ◽  
Lillian Kashela ◽  
...  

PLoS ONE ◽  
2021 ◽  
Vol 16 (8) ◽  
pp. e0255650 ◽  
Author(s):  
Sagar Dommaraju ◽  
Jill Hagey ◽  
Thomas A. Odeny ◽  
Sharon Okaka ◽  
Julie Kadima ◽  
...  

Introduction To improve retention on HIV treatment in Africa, public health programs are promoting a family of innovations to service delivery—referred to as “differentiated service delivery” (DSD) models—which seek to better meet the needs of both systems and patients by reducing unnecessary encounters, expanding access, and incorporating peers and patients in patient care. Data on the relative desirability of different models to target populations, which is currently sparse, can help guide prioritization of specific models during scale-up. Methods We conducted a discrete choice experiment to assess patient preferences for various characteristics of treatment services. Clinically stable people living with HIV were recruited from an HIV clinic in Kisumu, Kenya. We selected seven attributes of DSD models drawn from literature review and previous qualitative work. We created a balanced and orthogonal design to identify main term effects. A total of ten choice tasks were solicited per respondent. We calculated relative utility (RU) for each attribute level, a numerical representation of the strength of patient preference. Data were analyzed using a Hierarchical Bayesian model via Sawtooth Software. Results One hundred and four respondents (37.5% men, 41.1 years mean age) preferred receiving care at a health facility, compared with home-delivery or a community meeting point (RU = 69.3, -16.2, and -53.1, respectively; p << 0.05); receiving those services from clinicians and pharmacists—as opposed to lay health workers or peers (RU = 21.5, 5.9, -24.5; p < 0.05); and preferred an individual support system over a group support system (RU = 15.0 and 4.2; p < 0.05). Likewise, patients strongly preferred longer intervals between both clinical reviews (RU = 40.1 and -50.7 for 6- and 1-month spacing, respectively; p < 0.05) and between ART collections (RU = 33.6 and -49.5 for 6- and1-month spacing, respectively; p < 0.05). Conclusion Although health systems find community- and peer-based DSD models attractive, clinically stable patients expressed a preference for facility-based care as long as clinical visits were extended to biannual. These data suggest that multi-month scripting and fast-track models best align with patient preferences, an insight which can help prioritize use of different DSD models in the region.


2014 ◽  
Vol 14 (1) ◽  
Author(s):  
Robine Hofman ◽  
Esther W de Bekker-Grob ◽  
Hein Raat ◽  
Theo JM Helmerhorst ◽  
Marjolein van Ballegooijen ◽  
...  

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Joram Hoogink ◽  
Frederik Verelst ◽  
Roselinde Kessels ◽  
Albert Jan van Hoek ◽  
Aura Timen ◽  
...  

PLoS ONE ◽  
2014 ◽  
Vol 9 (8) ◽  
pp. e104772 ◽  
Author(s):  
Robine Hofman ◽  
Esther W. de Bekker-Grob ◽  
Jan Hendrik Richardus ◽  
Harry J. de Koning ◽  
Marjolein van Ballegooijen ◽  
...  

2010 ◽  
Vol 31 (4) ◽  
pp. 243-251 ◽  
Author(s):  
Marijke Hendrix ◽  
Milena Pavlova ◽  
Marianne J. Nieuwenhuijze ◽  
Johan L. Severens ◽  
Jan G. Nijhuis

10.2196/20741 ◽  
2020 ◽  
Vol 8 (10) ◽  
pp. e20741 ◽  
Author(s):  
Marcel Jonker ◽  
Esther de Bekker-Grob ◽  
Jorien Veldwijk ◽  
Lucas Goossens ◽  
Sterre Bour ◽  
...  

Background Smartphone-based contact tracing apps can contribute to reducing COVID-19 transmission rates and thereby support countries emerging from lockdowns as restrictions are gradually eased. Objective The primary objective of our study is to determine the potential uptake of a contact tracing app in the Dutch population, depending on the characteristics of the app. Methods A discrete choice experiment was conducted in a nationally representative sample of 900 Dutch respondents. Simulated maximum likelihood methods were used to estimate population average and individual-level preferences using a mixed logit model specification. Individual-level uptake probabilities were calculated based on the individual-level preference estimates and subsequently aggregated into the sample as well as subgroup-specific contact tracing app adoption rates. Results The predicted app adoption rates ranged from 59.3% to 65.7% for the worst and best possible contact tracing app, respectively. The most realistic contact tracing app had a predicted adoption of 64.1%. The predicted adoption rates strongly varied by age group. For example, the adoption rates of the most realistic app ranged from 45.6% to 79.4% for people in the oldest and youngest age groups (ie, ≥75 years vs 15-34 years), respectively. Educational attainment, the presence of serious underlying health conditions, and the respondents’ stance on COVID-19 infection risks were also correlated with the predicted adoption rates but to a lesser extent. Conclusions A secure and privacy-respecting contact tracing app with the most realistic characteristics can obtain an adoption rate as high as 64% in the Netherlands. This exceeds the target uptake of 60% that has been formulated by the Dutch government. The main challenge will be to increase the uptake among older adults, who are least inclined to install and use a COVID-19 contact tracing app.


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