scholarly journals Determining patient preferences and willingness to pay related to scar length and appearance after skin cancer treatment on the face and trunk: A multicenter discrete choice experiment

2019 ◽  
Vol 81 (4) ◽  
pp. 1011-1013 ◽  
Author(s):  
Nicholas Golda ◽  
William Black ◽  
Vishal Patel ◽  
Donald Neal ◽  
Jeremy Etzkorn
Keyword(s):  
Skin Cancer ◽  
Willingness To Pay ◽  
Cancer Treatment ◽  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Patient Preferences ◽  
Choice Experiment ◽  
The Face

scholarly journals Line of therapy and patient preferences regarding lung cancer treatment: a discrete-choice experiment

2021 ◽  
Vol 37 (4) ◽  
pp. 643-653
Author(s):  
Sarah Janse ◽  
Ellen Janssen ◽  
Tanya Huwig ◽  
Upal Basu Roy ◽  
Andrea Ferris ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cancer Treatment ◽  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Patient Preferences ◽  
Choice Experiment ◽  
Lung Cancer Treatment ◽  
Line Of Therapy

A discrete choice experiment to examine preferences and willingness to pay for prophylactic granulocyte colony-stimulating factors (G-CSF) in previously treated breast cancer patients.

2013 ◽  
Vol 31 (15_suppl) ◽  
pp. e17509-e17509 ◽  
Author(s):  
Phaedra Johnson ◽  
Tim Bancroft ◽  
Richard L. Barron ◽  
Jason C. Legg ◽  
Xiaoyan Li ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Willingness To Pay ◽  
Cancer Patients ◽  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Patient Preferences ◽  
Choice Experiment ◽  
Risk Of Infection ◽  
Breast Cancer Patients ◽  
Patient Centered

e17509 Background: As patient-centered care becomes more prominent, a better understanding of patient preferences and tradeoffs amongst treatment alternatives and outcomes is needed. This study used a discrete choice experiment to examine the preferences and willingness to pay for prophylactic G-CSF to decrease the incidence of chemotherapy (CT)-induced febrile neutropenia in breast cancer patients who previously received CT. Methods: An online survey was developed with 16 paired treatment choice scenarios comparing 3 alternative G-CSF options (11 versus 1 or 6 versus 1 injections per CT cycle) with a follow-up “no treatment” option. Each scenario had 4 attributes: risk of disruption to CT schedule due to neutropenia, risk of infection requiring hospitalization, frequency of G-CSF administration, and total out-of-pocket (OOP) cost for G-CSF during a CT cycle. Patients’ preferences and willingness to pay (as OOP cost) were estimated using logistic regression. Results: Patients’ (n = 296) preferred G-CSF options with the lowest OOP costs, the fewest injections, and improved outcomes (lowest risk of disruption to CT schedule and lowest risk of infection requiring hospitalization). In the context of this discrete choice experiment, OOP costs and risk of disruption to CT schedule were the most important attributes to patients; risk of infection requiring hospitalization and frequency of G-CSF administration affected patients’ choice of G-CSF option to a smaller but similar degree. Patients were willing to pay OOP $1,076 per cycle to reduce the risk of disrupting the CT schedule from high to low, $884 per cycle to reduce the risk of developing an infection requiring hospitalization from 24% (high) to 7% (low), and $851 and $667 per cycle to decrease the number of G-CSF injections per cycle from 11 to 1 and 6 to 1, respectively. Conclusions: With a current focus on patient-centered approaches in decision-making, physicians need to consider patient preferences when making decisions about therapy, including supportive care agents.

scholarly journals Patient preferences for management of high blood pressure in the UK: a discrete choice experiment

2019 ◽  
Vol 69 (686) ◽  
pp. e629-e637 ◽  
Author(s):  
Benjamin Fletcher ◽  
Lisa Hinton ◽  
Richard McManus ◽  
Oliver Rivero-Arias
Keyword(s):  
Blood Pressure ◽  
Cardiovascular Risk ◽  
Willingness To Pay ◽  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Patient Preferences ◽  
Choice Experiment ◽  
Models Of Care ◽  
Self Management ◽  
The Uk

BackgroundWith a variety of potentially effective hypertension management options, it is important to determine how patients value different models of care, and the relative importance of factors in their decision-making process.AimTo explore patient preferences for the management of hypertension in the UK.Design and settingOnline survey of patients who have hypertension in the UK including an unlabelled discrete choice experiment (DCE).MethodA DCE was developed to assess patient preferences for the management of hypertension based on four attributes: model of care, frequency of blood pressure (BP) measurement, reduction in 5-year cardiovascular risk, and costs to the NHS. A mixed logit model was used to estimate preferences, willingness-to-pay was modelled, and a scenario analysis was conducted to evaluate the impact of changes in attribute levels on the uptake of different models of care.ResultsOne hundred and sixty-seven participants completed the DCE (aged 61.4 years, 45.0% female, 82.0% >5 years since diagnosis). All four attributes were significant in choice (P<0.05). Reduction in 5-year cardiovascular risk was the main driver of patient preference as evidenced in the scenario and willingness-to-pay analyses. GP management was significantly preferred over self-management. Patients preferred scenarios with more frequent BP measurement, and lower costs to the NHS.ConclusionParticipants had similar preferences for GP management, pharmacist management, and telehealth, but a negative preference for self-management. When introducing new models of care for hypertension to patients, discussion of the potential benefits in terms of risk reduction should be prioritised to maximise uptake.

Patient preferences for specialist outpatient video consultations: A discrete choice experiment

2021 ◽  
pp. 1357633X2110228
Author(s):  
Centaine L Snoswell ◽  
Anthony C Smith ◽  
Matthew Page ◽  
Liam J Caffery
Keyword(s):  
General Practitioner ◽  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Patient Preferences ◽  
Choice Experiment ◽  
Healthcare Delivery ◽  
General Practitioner Practice ◽  
Specialist Care ◽  
Time Away ◽  
Out Of Pocket Costs

Introduction Telehealth has been shown to improve access to care, reduce personal expenses and reduce the need for travel. Despite these benefits, patients may be less inclined to seek a telehealth service, if they consider it inferior to an in-person encounter. The aims of this study were to identify patient preferences for attributes of a healthcare service and to quantify the value of these attributes. Methods We surveyed patients who had taken an outpatient telehealth consult in the previous year using a survey that included a discrete choice experiment. We investigated patient preferences for attributes of healthcare delivery and their willingness to pay for out-of-pocket costs. Results Patients ( n = 62) preferred to have a consultation, regardless of type, than no consultation at all. Patients preferred healthcare services with lower out-of-pocket costs, higher levels of perceived benefit and less time away from usual activities ( p < 0.008). Most patients preferred specialist care over in-person general practitioner care. Their order of preference to obtain specialist care was a videoconsultation into the patient’s local general practitioner practice or hospital ( p < 0.003), a videoconsultation into the home, and finally travelling for in-person appointment. Patients were willing to pay out-of-pocket costs for attributes they valued: to be seen by a specialist over videoconference ($129) and to reduce time away from usual activities ($160). Conclusion Patients value specialist care, lower out-of-pocket costs and less time away from usual activities. Telehealth is more likely than in-person care to cater to these preferences in many instances.

scholarly journals Patient preferences for use of virtual consultations in an orthopaedic rehabilitation setting: Results from a discrete choice experiment

2021 ◽  
pp. 135581962110354
Author(s):  
Anthony W Gilbert ◽  
Emmanouil Mentzakis ◽  
Carl R May ◽  
Maria Stokes ◽  
Jeremy Jones
Keyword(s):  
Conceptual Model ◽  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Patient Preferences ◽  
Choice Experiment ◽  
Best Practice ◽  
Time Of Day ◽  
Problem Area ◽  
Fractional Factorial ◽  
The Impact

Objective Virtual Consultations may reduce the need for face-to-face outpatient appointments, thereby potentially reducing the cost and time involved in delivering health care. This study reports a discrete choice experiment (DCE) that identifies factors that influence patient preferences for virtual consultations in an orthopaedic rehabilitation setting. Methods Previous research from the CONNECT (Care in Orthopaedics, burdeN of treatmeNt and the Effect of Communication Technology) Project and best practice guidance informed the development of our DCE. An efficient fractional factorial design with 16 choice scenarios was created that identified all main effects and partial two-way interactions. The design was divided into two blocks of eight scenarios each, to reduce the impact of cognitive fatigue. Data analysis were conducted using binary logit regression models. Results Sixty-one paired response sets (122 subjects) were available for analysis. DCE factors (whether the therapist is known to the patient, duration of appointment, time of day) and demographic factors (patient qualifications, access to equipment, difficulty with activities, multiple health issues, travel costs) were significant predictors of preference. We estimate that a patient is less than 1% likely to prefer a virtual consultation if the patient has a degree, is without access to the equipment and software to undertake a virtual consultation, does not have difficulties with day-to-day activities, is undergoing rehabilitation for one problem area, has to pay less than £5 to travel, is having a consultation with a therapist not known to them, in 1 weeks’ time, lasting 60 minutes, at 2 pm. We have developed a simple conceptual model to explain how these factors interact to inform preference, including patients’ access to resources, context for the consultation and the requirements of the consultation. Conclusions This conceptual model provides the framework to focus attention towards factors that might influence patient preference for virtual consultations. Our model can inform the development of future technologies, trials, and qualitative work to further explore the mechanisms that influence preference.

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