No abstract

No abstract

Background: Recently, biologic agents administered as a subcutaneous injection have been introduced as treatment options for atopic dermatitis (AD). Biologic treatments differ considerably from traditional topical and systemic anti-inflammatory treatments, and it is unclear how this may impact patient and physician preferences for treatments. Objective: To examine the treatment preferences for new injection treatments of patients and physicians. Methods: Discrete choice experiment methodology was used to quantify preferences for treatments via an online survey. Participants were presented with a series of choice scenarios; treatment options were described using the following attributes: add-on or replacement treatment, efficacy of improving rashes and itching, time until response, place of administration, injection site reaction, risk of mild-to-moderate and severe side effects, frequency of administration and cost. Results: 76.67% of physicians and 46.24% of patients opted-in to the new treatment in the scenarios presented. Of those who opted-in to treatment, physicians were more likely to value the efficacy of treating rashes and were more concerned about cost than patients. Patients preferred add-on treatments and were against self-administering the treatment at home. Conclusion: Overall patients and physicians differ in their preferences for AD treatments. These findings have implications for shared decision making and clinical practice.

BackgroundMultiple pharmacotherapy options are available to control blood glucose in Type 2 Diabetes Mellitus (T2DM). Patients and prescribers may have different preferences for T2DM treatment attributes, such as mode and frequency of administration, based on their experiences and beliefs which may impact adherence. As adherence is a pivotal issue in diabetes therapy, it is important to understand what patients value and how they trade-off the risks and benefits of new treatments. This study aims to investigate the key drivers of choice for T2DM treatments, with a focus on injection frequency, and explore patients’ associated willingness-to-pay.MethodsA discrete choice experiment (DCE) was used to present patients with a series of trade-offs between different treatment options, injectable and oral medicines that were made up of 10 differing levels of attributes (frequency and mode of administration, weight change, needle type, storage, nausea, injection site reactions, hypoglycaemic events, instructions with food and cost). A sample of 171 Australian consenting adult T2DM patients, of which 58 were receiving twice-daily injections of exenatide and 113 were on oral glucose-lowering treatments, completed the national online survey. An error components model was used to estimate the relative priority and key drivers of choice patients place on different attributes and to estimate their willingness to pay for new treatments.ResultsInjection frequency, weight change, and nausea were shown to be important attributes for patients receiving injections. Within this cohort, a once-weekly injection generated an additional benefit over a twice-daily injection, equivalent to a weighted total willingness to pay of AUD$22.35 per month.ConclusionsBased on the patient preferences, the importance of frequency of administration and other non-health benefits can be valued. Understanding patient preferences has an important role in health technology assessment, as the identification of the value as well as the importance weighting for each treatment attribute may assist with funding decisions beyond clinical trial outcomes.

Background: Multiple Myeloma (MM) is a cancer characterised by the proliferation of malignant plasma cells in the bone marrow. This study examined the treatment preferences of people living with MM compared to the treatment preferences of other groups involved in treatment decision making, including carers, as well as physicians and nurses who treat people living with MM in Australia. Methods: Data were collected using discrete choice experiments (DCEs) through an online survey. The DCEs presented participants with a traditional treatment generic choice experiment (e.g., treatment A vs treatment B), focusing on the clinical benefits of treatments and the associated risks. The attributes and levels of the attributes were selected based on previous research, literature review, qualitative research and expert opinion. The DCE data were modelled using a Latent Class Model (LCM). Results: The model revealed significant heterogeneity in preferences for treatment attributes. In particular, overall survival, remission period and annual out of pocket cost were the attributes with the most variation. In comparison to people living with MM, carers were less cost-sensitive and more concerned with quality of life (remission period). Physicians and nurses were generally more concerned with overall survival and more cost sensitive than people living with MM. Conclusions: This study demonstrated that not all people living with MM valued the same treatment attributes equally. Further, not all groups involved in MM treatment decision making had preference alignment on all treatment attributes. This has important implications for healthcare policy decisions and shared decision making. Results from this study could be used to guide decisions around the value of new MM medicines or the medical plan surrounding the needs of those living with MM, as well as those caring for them.