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Keywords

conjoint analysis, disease-modifying treatments, multiple sclerosis, nursing research, treatment preferences

 

Authors

  1. del Rio-Munoz, Beatriz
  2. Azanza-Munarriz, Cristina
  3. Becerril-Rios, Noelia
  4. Goicochea-Briceno, Haydee
  5. Horno, Rosalia
  6. Lendinez-Mesa, Alejandro
  7. Sanchez-Franco, Cesar
  8. Sarmiento, Monica
  9. Bueno-Gil, Guillermo
  10. Medrano, Nicolas
  11. Maurino, Jorge

Abstract

ABSTRACT: BACKGROUND: Nurses play an essential role in coordinating the care of patients with multiple sclerosis (MS) throughout their disease trajectory in a complex treatment landscape. The aim of this study was to assess nurses' preferences toward different disease-modifying therapy attributes. METHODS: We conducted a multicenter, noninterventional, cross-sectional study in collaboration with the Sociedad Espanola de Enfermeria Neurologica. Nurses actively involved in MS care were invited to participate in the study. Prevention of disability progression, preservation of cognitive function, side effect profile and safety monitoring, and method of administration were the treatment attributes tested. Conjoint analysis was used to assess preferences in 8 simulated treatment options and rank them from most to least preferred. RESULTS: A total of 98 nurses were included in the study. The mean (SD) age was 44.7 (9.8) years, and 91.8% were female with a mean (SD) time of experience in MS care of 7.5 (5.4) years. Participants prioritized preservation of cognition (38.6%), followed by preventing disability progression (35.2%) and side effect risk and safety monitoring (13.5%). Route and frequency of administration were the least preferred attributes (7.4% and 5.3%, respectively). Estimated utilities were consistent across the sample according to sociodemographic and professional practice characteristics. CONCLUSIONS: Nurses' preferences toward treatments were mainly driven by efficacy attributes. This information may support the role of nurses in the multidisciplinary management of MS facilitating shared decision making.