scholarly journals Examining patient preferences in the treatment of rheumatoid arthritis using a discrete-choice approach

2016 ◽  
Vol Volume 10 ◽  
pp. 2217-2228 ◽  
Author(s):  
Rieke Alten ◽  
Klaus Krüger ◽  
Julian Rellecke ◽  
Julia Schiffner-Rohe ◽  
Olaf Behmer ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Discrete Choice ◽  
Patient Preferences ◽  
Choice Approach

scholarly journals Patient preferences on rheumatoid arthritis second-line treatment: A discrete choice experiment of Swedish patients

2020 ◽  
Author(s):  
Karin Schölin Bywall ◽  
Ulrik Kihlbom ◽  
Mats Hansson ◽  
Marie Falahee ◽  
Karim Raza ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Side Effects ◽  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Patient Preferences ◽  
Choice Experiment ◽  
Route Of Administration ◽  
Second Line ◽  
Treatment Characteristics ◽  
Frequency Of Use

Abstract Background: Preference assessments of patients with rheumatoid arthritis can support clinical therapeutic decisions for including biologic and targeted synthetic medicines to use. This study assesses patient preferences for attributes of second-line therapies and heterogeneity within these preferences to estimate the relative importance of treatment characteristics and to calculate the minimum benefit levels patients require to accept higher levels of side effects.Methods: Between November 2018 to August 2019, patients with rheumatoid arthritis were recruited to a survey containing demographic and disease-related questions as well as a discrete choice experiment to measure their preferences for second-line therapies using biologics or Janus kinases inhibitors. Treatment characteristics included were route of administration, frequency of use, probability of mild short-term side effects, probability of side effects changing appearance, probability of psychological side effects, probability of severe side effects, and effectiveness of treatment.Results: A total of 358 patients were included in the analysis. A latent class analysis revealed three preference patterns. 1) Treatment effectiveness as the single most important attribute. 2) Route of administration as the most important attribute, closely followed by frequency of use and psychological side effects. 3) Severe side effects as the most important attribute followed by psychological side effects. In addition, disease duration and mild side effects influenced the patients’ choices.Conclusion: Respondents found either effectiveness, route of administration or severe side effects as the most important attribute. Patients noting effectiveness as most important were more willing than other patients to accept higher risks of side effects.

scholarly journals Patient preferences on rheumatoid arthritis second-line treatment: a discrete choice experiment of Swedish patients

2020 ◽  
Vol 22 (1) ◽  
Author(s):  
Karin Schölin Bywall ◽  
Ulrik Kihlbom ◽  
Mats Hansson ◽  
Marie Falahee ◽  
Karim Raza ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Side Effects ◽  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Patient Preferences ◽  
Choice Experiment ◽  
Route Of Administration ◽  
Second Line ◽  
Treatment Characteristics ◽  
Frequency Of Use

Abstract Background Preference assessments of patients with rheumatoid arthritis can support clinical therapeutic decisions for including biologic and targeted synthetic medicines to use. This study assesses patient preferences for attributes of second-line therapies and heterogeneity within these preferences to estimate the relative importance of treatment characteristics and to calculate the minimum benefit levels patients require to accept higher levels of side effects. Methods Between November 2018 to August 2019, patients with rheumatoid arthritis were recruited to a survey containing demographic and disease-related questions as well as a discrete choice experiment to measure their preferences for second-line therapies using biologics or Janus kinases inhibitors. Treatment characteristics included were route of administration, frequency of use, probability of mild short-term side effects, probability of side effects changing appearance, probability of psychological side effects, probability of severe side effects and effectiveness of treatment. Results A total of 358 patients were included in the analysis. A latent class analysis revealed three preference patterns: (1) treatment effectiveness as the single most important attribute, (2) route of administration as the most important attribute, closely followed by frequency of use and psychological side effects and (3) severe side effects as the most important attribute followed by psychological side effects. In addition, disease duration and mild side effects influenced the patients’ choices. Conclusion Respondents found either effectiveness, route of administration or severe side effects as the most important attribute. Patients noting effectiveness as most important were more willing than other patients to accept higher risks of side effects.

scholarly journals Patient preferences on rheumatoid arthritis second-line treatment: A discrete choice experiment of Swedish patients

2020 ◽  
Author(s):  
Karin Schölin Bywall ◽  
Ulrik Kihlbom ◽  
Mats Hansson ◽  
Marie Falahee ◽  
Eva Baecklund ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Side Effects ◽  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Patient Preferences ◽  
Choice Experiment ◽  
Second Line ◽  
Jak Inhibitors ◽  
Mode Of Administration ◽  
Treatment Characteristics

Abstract Background Preference assessments of patients with rheumatoid arthritis (RA) help inform clinical therapeutic decisions for including biologic and targeted synthetic drugs to use. This study assesses patient preferences for biologics or Janus kinases (JAK) inhibitors and heterogeneity within these preferences to estimate the relative importance of treatment characteristics and to calculate the minimum benefit levels patients require to accept higher levels of side effects. Methods Between November 2018 to August 2019, patients were recruited to participate in a survey containing demographic and disease-related questions as well as a Discrete Choice Experiment to measure their preferences for second-line therapies using biologics or JAK inhibitors. Treatment characteristics (attributes) included in the DCE were mode of administration, frequency of use, probability of mild short-term side effects, probability of side effects affecting appearance, probability of psychological side effects, probability of severe side effects, and effectiveness of treatment. Results A total of 358 patients were included in the analysis. Latent class analysis revealed three preference patterns. When choosing treatment, the respondents found either effectiveness of treatment, mode of administration, or probability of severe side effects as most important. In addition, disease duration and mild side effects influenced the patients’ choices. Conclusion Respondents found either effectiveness, severe side effects, or mode of administration as the most important attribute. Patients noting effectiveness as most important were more willing than other patients to accept higher risks of side effects.

scholarly journals Patient preferences on rheumatoid arthritis second-line treatment: A discrete choice experiment of Swedish patients

2020 ◽  
Author(s):  
Karin Schölin Bywall ◽  
Ulrik Kihlbom ◽  
Mats Hansson ◽  
Marie Falahee ◽  
Karim Raza ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Side Effects ◽  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Patient Preferences ◽  
Choice Experiment ◽  
Second Line ◽  
Jak Inhibitors ◽  
Mode Of Administration ◽  
Treatment Characteristics

Abstract Background: Preference assessments of patients with rheumatoid arthritis (RA) help inform clinical therapeutic decisions for including biologic and targeted synthetic drugs to use. This study assesses patient preferences for biologics or Janus kinases (JAK) inhibitors and heterogeneity within these preferences to estimate the relative importance of treatment characteristics and to calculate the minimum benefit levels patients require to accept higher levels of side effects.Methods: Between November 2018 to August 2019, patients were recruited to participate in a survey containing demographic and disease-related questions as well as a Discrete Choice Experiment to measure their preferences for second-line therapies using biologics or JAK inhibitors. Treatment characteristics (attributes) included in the DCE were mode of administration, frequency of use, probability of mild short-term side effects, probability of side effects affecting appearance, probability of psychological side effects, probability of severe side effects, and effectiveness of treatment.Results: A total of 358 patients were included in the analysis. Latent class analysis revealed three preference patterns. When choosing treatment, the respondents found either effectiveness of treatment (34%), mode of administration (28%), or probability of severe side effects as most important (38%). In addition, disease duration and mild side effects influenced the patients’ choices.Conclusion: Respondents found either effectiveness, severe side effects, or mode of administration as the most important attribute. Patients noting effectiveness as most important were more willing than other patients to accept higher risks of side effects.

scholarly journals Patient Preferences for Biologic Agents in Rheumatoid Arthritis: A Discrete-Choice Experiment

2013 ◽  
Vol 16 (2) ◽  
pp. 385-393 ◽  
Author(s):  
Federico Augustovski ◽  
Andrea Beratarrechea ◽  
Vilma Irazola ◽  
Fernando Rubinstein ◽  
Pablo Tesolin ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Patient Preferences ◽  
Choice Experiment ◽  
Biologic Agents

scholarly journals BL2 PATIENT PREFERENCES FOR BIOLOGIC AGENTS IN RHEUMATOID ARTHRITIS: A DISCRETE CHOICE EXPERIMENT

2010 ◽  
Vol 13 (7) ◽  
pp. A243
Author(s):  
F Augustovski ◽  
A Beratarrechea ◽  
V Irazola ◽  
F Rubinstein ◽  
P Tesolin ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Patient Preferences ◽  
Choice Experiment ◽  
Biologic Agents

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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