Objective: Relapsing-remitting multiple sclerosis (MS) is usually managed with disease modifying drugs (DMDs), most commonly administered via self-injection. The aim of this study was to estimate the influence that different treatment-related attributes have for MS patients on their choice of MS DMD device. By establishing the relative importance of these characteristics for patients it should be possible to better understand the acceptability of a given device and to optimize the development of future devices.
Methods: A discrete choice experiment (DCE) survey was developed on the basis of a review of published literature. Attributes identified for inclusion in the survey were: ease of use; comfort of use; presence of additional functions, needle visibility; practicality and efficacy. Choice sets were presented as pairs of hypothetical treatments based upon a fractional factorial design. One-hundred device-using MS patients completed the survey online. Analysis was conducted using a mixed-logit approach.
Results: Analysis of the DCE data revealed that all attributes significantly predicted treatment choice. Efficacy exhibited the largest effect on treatment selection and this provided context for understanding the magnitude of impact for the other attributes. Reducing the discomfort associated with device use and eliminating the necessity for assembly or drug reconstitution were highly valued. The addition of reminder and time-stamping functions, improved needlestick injury prevention, and reduction in device size were secondary concerns but still deemed desirable.
Conclusion: Efficacy is of primary importance to MS patients, but characteristics of drug delivery devices can play an important role in treatment decision-making. Not all device characteristics could be included, and results are based upon 100 participants only. Findings suggest there is significant potential value in developing self-injection devices that are not only efficacious but also convenient and comfortable to use. Reducing barriers to adherence could potentially translate into improved treatment outcomes for patients with MS.
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http://dx.doi.org/10.3111/13696998.2013.811079 | DOI Listing |
J Transl Med
January 2025
Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), Singapore, 138672, Republic of Singapore.
Background: Risk-based breast cancer screening offers a more targeted and potentially cost-effective approach in cancer detection compared to age-based screening. This study aims to understand women's preferences and willingness for undergoing risk assessment tests.
Methods: A discrete choice experiment (DCE) was conducted.
Cureus
December 2024
Department of Health Policy, Management and Behavioural Science, Indian Institute of Public Health Gandhinagar, Gandhinagar, IND.
Background: Understanding the preferences of specialist physicians is essential to mitigate their critical deficiency in the Indian rural healthcare system. This necessitates an urgent focus to inform health policy interventions imperative to address and strengthen the vacancies of specialist physicians in the Indian rural healthcare system. The policy interventions should address the preferences of specialists, leading to their intention to stay in rural postings.
View Article and Find Full Text PDFIran J Pharm Res
June 2024
Department of Pharmacoeconomics and Pharmaceutical Administration, School of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran.
Context: Breast cancer poses significant challenges due to its high incidence and prevalence, necessitating heightened attention. Understanding how patients prioritize different treatment options based on various attributes can assist healthcare decision-makers in maximizing patient utility. The discrete choice experiment, a conjoint method, facilitates preference elicitation by presenting different attributes and choices.
View Article and Find Full Text PDFJ Acquir Immune Defic Syndr
January 2025
Department of Epidemiology, College of Public Health and Health Professions & College of Medicine, University of Florida, Gainesville, Florida, USA.
Introduction: Florida remains a high-incidence, high-prevalence setting for HIV. Long-acting (LA) antiretroviral therapies (ART) could improve HIV-related outcomes and reduce transmission. This study identifies preferred LA ART characteristics and classes of preference among people with HIV (PWH) in Florida.
View Article and Find Full Text PDFAppl Health Econ Health Policy
January 2025
Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
Introduction: Genomic medicine has features that make it preference sensitive and amenable to model-based health economic evaluation. Preferences of patients, caregivers, and clinicians related to the uptake and delivery of genomic medicine technologies and services that are not captured in health state utility weights can affect the intervention's cost-effectiveness and budget impact. However, there is currently no established or agreed-on approach for integrating preference information into economic evaluations.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!