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The Role of Web-Based Adaptive Choice-Based Conjoint Analysis Technology in Eliciting Patients' Preferences for Osteoarthritis Treatment.

Basem Al-OmariJoviana FarhatMujahed Shraim
Published in: International journal of environmental research and public health (2023)
The ACBC analysis is a feasible and efficient method to elicit patients' preferences for pharmacological treatment of OA, which could be used in clinical settings to facilitate shared decision-making and patient-centered care. The ACBC questionnaire completion consumes a significantly longer time for elderly participants, who never used a computer, and never completed any questionnaire previously. Therefore, the contribution of patients and public involvement (PPI) group in the development of the ACBC questionnaire could facilitate participants' understanding and satisfaction with the task. Future research including patients with different chronic conditions may provide more useful information about the efficiency of ACBC analysis in eliciting patients' preferences for osteoarthritis treatment.
Keyphrases
  • end stage renal disease
  • ejection fraction
  • healthcare
  • prognostic factors
  • rheumatoid arthritis
  • palliative care
  • emergency department
  • machine learning
  • psychometric properties
  • patient satisfaction