2016
DOI: 10.1371/journal.pone.0164862
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Identification and Prioritization of Important Attributes of Disease-Modifying Drugs in Decision Making among Patients with Multiple Sclerosis: A Nominal Group Technique and Best-Worst Scaling

Abstract: ObjectivesUnderstanding the preferences of patients with multiple sclerosis (MS) for disease-modifying drugs and involving these patients in clinical decision making can improve the concordance between medical decisions and patient values and may, subsequently, improve adherence to disease-modifying drugs. This study aims first to identify which characteristics–or attributes–of disease-modifying drugs influence patients´ decisions about these treatments and second to quantify the attributes’ relative importanc… Show more

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Cited by 31 publications
(46 citation statements)
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“…Therefore, the Checklist for Reporting Results of Internet E‐Surveys was followed for reporting the design and the results . We used the same best‐worst scaling that was performed to elicit preferences for patients with MS . The best‐worst scaling included 27 attributes, which were identified in a two‐stage procedure.…”
Section: Methodsmentioning
confidence: 99%
See 4 more Smart Citations
“…Therefore, the Checklist for Reporting Results of Internet E‐Surveys was followed for reporting the design and the results . We used the same best‐worst scaling that was performed to elicit preferences for patients with MS . The best‐worst scaling included 27 attributes, which were identified in a two‐stage procedure.…”
Section: Methodsmentioning
confidence: 99%
“…An example of a choice task for neurologists and MS nurses is presented in Figure . Further description on the identification, selection and definition of attributes and on the development of the choice tasks and the questionnaire is described in detail elsewhere …”
Section: Methodsmentioning
confidence: 99%
See 3 more Smart Citations