scholarly journals A Systematic Review of Discrete Choice Experiment and Conjoint Analysis in Measuring Patients’ Preferences for Multiple Sclerosis Treatments

2018 ◽  
Vol 21 ◽  
pp. S207-S208
Author(s):  
T Wanishayakorn ◽  
T Cejudo ◽  
K Nimdet ◽  
N Chaiyakunapruk ◽  
S Ngorsuraches
2018 ◽  
Vol 3 (1) ◽  
pp. 238146831774617 ◽  
Author(s):  
Stuart James Wright ◽  
Fiona Ulph ◽  
Tina Lavender ◽  
Nimarta Dharni ◽  
Katherine Payne

Background: Understanding preferences for information provision in the context of health care service provision is challenging because of the number of potential attributes that may influence preferences. This study aimed to identify midwives’ preferences for the process and outcomes of information provision in an expanded national newborn bloodspot screening program. Design: A sample of practicing midwives completed a hybrid-stated preference survey including a conjoint analysis (CA) and discrete choice experiment to quantify preferences for the types of, and way in which, information should be provided in a newborn bloodspot screening program. Six conjoint analysis questions captured the impact of different types of information on parents’ ability to make a decision, and 10 discrete choice experiment questions identified preferences for four process attributes (including parents’ ability to make a decision). Results: Midwives employed by the UK National Health Service (n = 134) completed the survey. All types of information content were perceived to improve parents’ ability to make a decision except for the possibility of false-positive results. Late pregnancy was seen to be the best time to provide information, followed by day 3 postbirth. Information before 20 weeks of pregnancy was viewed as reducing parents’ ability to make a decision. Midwives preferred information to be provided by an individual discussion and did not think parents should receive information on the Internet. Conclusion: A hybrid stated preference survey design identified that a wide variety of information should be provided to maximize parents’ ability to make a decision ideally provided late in pregnancy or on day 3 postbirth.


2018 ◽  
Vol 11 (4) ◽  
pp. 391-402 ◽  
Author(s):  
Edward J. D. Webb ◽  
David Meads ◽  
Ieva Eskyte ◽  
Natalie King ◽  
Naila Dracup ◽  
...  

2016 ◽  
Vol Volume 10 ◽  
pp. 1945-1956 ◽  
Author(s):  
Eva Martinez ◽  
Jose Manuel Garcia ◽  
Delicias Muñoz ◽  
Marta Comellas ◽  
Irmina Gozalbo ◽  
...  

2020 ◽  
Vol 6 (1) ◽  
pp. 205521732091077
Author(s):  
Christine Poulos ◽  
Craig Wakeford ◽  
Elizabeth Kinter ◽  
Brennan Mange ◽  
Thomas Schenk ◽  
...  

2015 ◽  
Vol 9 (2) ◽  
pp. 171-180 ◽  
Author(s):  
Christine Poulos ◽  
Elizabeth Kinter ◽  
Jui-Chen Yang ◽  
John F. P. Bridges ◽  
Joshua Posner ◽  
...  

Author(s):  
Lucien P. Coulibaly ◽  
Thomas G. Poder ◽  
Michel Tousignant

Background: Across most healthcare systems, patients are the primary focus. Patient involvements enhance their adherence to treatment, which in return, influences their health. The objective of this study was to determine the characteristics (i.e., attributes) and associated levels (i.e., values of the characteristics) that are the most important for patients regarding telerehabilitation healthcare to support a future discrete choice experiment (DCE) study design. Methods: A mixed-methods systematic review was conducted from January 2005 to the end of July 2020 and the search strategy was applied to five different databases. The initial selection of articles that met the eligibility criteria was independently made by one researcher, two researchers verified the accuracy of the extracted data, and all researchers discussed about relevant variables to include. Reporting of this systematic review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines and the Mixed Methods Appraisal Tool was used to assess the quality of the study. A qualitative synthesis was used to summarize findings. Results: From a total of 928 articles, 11 [qualitative (n=5), quantitative (n= 3) and mixed-methods (n= 3) design] were included, and 25 attributes were identified and grouped into 13 categories: Accessibility, Distance, Interaction, Technology experience, Treatment mode, Treatment location, Physician contact mode, Physician contact frequency, Cost, Confidence, Ease of use, Feeling safer, and Training session. The attributes levels varied from two to five. The DCE studies identified showed the main stages to undertake these types of studies. Conclusion: This study could guide the development of interview grid for individual interviews and focus groups to support a DCE study design in the telerehabilitation field. By understanding the characteristics that enhance patients’ preferences, health care providers can create or improve telerehabilitation programs that provide high-quality and accessible care. Future research via a DCE is needed to determine the relative importance of the attributes.


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