Discrete choice experiments to elicit patient preferences for decision-making in transplantation

2020 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Laura J. James ◽  
Germaine Wong ◽  
Allison Tong ◽  
Jonathan C. Craig ◽  
Kirsten Howard ◽  
...  
Trials ◽  
2013 ◽  
Vol 14 (S1) ◽  
Author(s):  
Emily Fargher ◽  
Dyfrig Hughes ◽  
Adele Ring ◽  
Ann Jacoby ◽  
Margaret Rawnsley ◽  
...  

2017 ◽  
Vol 157 (4) ◽  
pp. 618-624 ◽  
Author(s):  
Matthew R. Naunheim ◽  
Vinay K. Rathi ◽  
Margaret L. Naunheim ◽  
Blake C. Alkire ◽  
Allen C. Lam ◽  
...  

Objectives Patient preferences are crucial for the delivery of patient-centered care. Discrete choice experiments (DCEs) are an emerging quantitative methodology used for understanding these preferences. In this study, we employed DCE techniques to understand the preferences of patients presenting for an ear, nose, and throat clinic visit. Study Design DCE. Setting Decision science laboratory. Methods A DCE survey of 5 attributes—wait time, physician experience, physician personality, utilization of visit time, and cost/copayment—was constructed with structured qualitative interviews with patients. The DCE was administered to participants from the general population, who chose among hypothetical scenarios that varied across these attributes. A conditional logit model was used to determine relative attribute importance, with a separate logit model for determining subject effects. Results A total of 161 participants were included. Cost/copayment had the greatest impact on decision making (importance, 32.2%), followed by wait time and physician experience (26.5% and 24.7%, respectively). Physician personality mattered least (4.7%), although all attributes were significantly correlated to decision making. Participants preferred doctors who spent more time performing physical examination than listening or explaining. Participants were willing to pay $52 extra to avoid a 4-week delay in appointment time; $87 extra for a physician with 10 years of experience (vs 0 years); and $9 extra for a caring, friendly, and compassionate doctor (vs formal, efficient, and business-like). Conclusion DCEs allow for powerful economic analyses that may help physicians understand patient preferences. Our model showed that cost is an important factor to patients and that patients are willing to pay extra for timely appointments, experience, and thorough physical examination.


2019 ◽  
Vol 12 (6) ◽  
pp. 559-569 ◽  
Author(s):  
Renata Leborato Guerra ◽  
Luciana Castaneda ◽  
Rita de Cássia Ribeiro de Albuquerque ◽  
Camila Belo Tavares Ferreira ◽  
Flávia de Miranda Corrêa ◽  
...  

2019 ◽  
Vol 39 (6) ◽  
pp. 681-692 ◽  
Author(s):  
Domino Determann ◽  
Dorte Gyrd-Hansen ◽  
G. Ardine de Wit ◽  
Esther W. de Bekker-Grob ◽  
Ewout W. Steyerberg ◽  
...  

Background. Discrete choice experiments (DCEs) are increasingly used in the health care context to inform on patient preferences for health care services. In order for such experiments to provide useful and policy-relevant information, it is vital that the design includes those options that the respondent faces in the real-life situation. Whether to include opt-out, neither, or status quo alternatives has, however, received little attention in the DCE literature. We aim to investigate whether the use of different unforced choice formats affects DCE results in different settings: 1) opt-out versus neither in a health care market where there is no status quo and 2) including status quo in addition to opt-out in a health care market with a status quo. Design. A DCE on Dutch citizens’ preferences for personal health records served as our case, and 3189 respondents were allocated to the different unforced choice formats. We used mixed logit error component models to estimate preferences. Results. We found that the use of different unforced choice formats affects marginal utilities and welfare estimates and hence the conclusions that will be drawn from the DCE to inform health care decision making. Conclusions. To avoid biased estimates, we recommend that researchers are hesitant to use the neither option and consider including a status quo in addition to opt-out in settings where a status quo exists.


2021 ◽  
Author(s):  
Alan R. Ellis ◽  
Kathleen Thomas ◽  
Kirsten Howard ◽  
Mandy Ryan ◽  
Esther de Bekker-Grob ◽  
...  

2020 ◽  
Vol 17 (5) ◽  
pp. 467-477
Author(s):  
I Eshun-Wilson ◽  
H-Y Kim ◽  
S Schwartz ◽  
M Conte ◽  
D V Glidden ◽  
...  

Abstract Purpose of Review Aligning HIV treatment services with patient preferences can promote long-term engagement. A rising number of studies solicit such preferences using discrete choice experiments, but have not been systematically reviewed to seek generalizable insights. Using a systematic search, we identified eleven choice experiments evaluating preferences for HIV treatment services published between 2004 and 2020. Recent Findings Across settings, the strongest preference was for nice, patient-centered providers, for which participants were willing to trade considerable amounts of time, money, and travel distance. In low- and middle-income countries, participants also preferred collecting antiretroviral therapy (ART) less frequently than 1 monthly, but showed no strong preference for 3-compared with 6-month refill frequency. Facility waiting times and travel distances were also important but were frequently outranked by stronger preferences. Health facility–based services were preferred to community- or home-based services, but this preference varied by setting. In high-income countries, the availability of unscheduled appointments was highly valued. Stigma was rarely explored and costs were a ubiquitous driver of preferences. Summary While present improvement efforts have focused on designs to enhance access (reduced waiting time, travel distance, and ART refill frequency), few initiatives focus on the patient-provider interaction, which represents a promising critical area for inquiry and investment. If HIV programs hope to truly deliver patient-centered care, they will need to incorporate patient preferences into service delivery strategies. Discrete choice experiments can not only inform such strategies but also contribute to prioritization efforts for policy-making decisions.


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