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Home / Seminar & Event /Past Seminars / (340) Responsiveness and Minimally Important Difference of Patient-reported outcome: What, Why, and How
(340) Responsiveness and Minimally Important Difference of Patient-reported outcome: What, Why, and How
Seminar: (340) Responsiveness and Minimally Important Difference of Patient-reported outcome: What, Why, and How
Speaker: Dr. Xuejing Jin, Postdoctoral fellow at School of Public Health, University of Alberta, Canada
Time: 2018-12-27 10:30 to 2018-12-27 11:30
Venue: Meeting room (406), Building 24
Organizer:

SPST


Brief Biography:

Xuejing Jin, PhD

  • Title: Postdoctoral fellow at the University of Alberta 
  • Research Fields: Patient-reported outcome measures; Psychometrics; Health technology assessment; Trial-based/model-based economic evaluations; Evidence-based medicine;


  • Education background: PhD in the field of health technology assessment from McMaster University, Canada

Abstract:

Responsiveness and minimally important difference are two important types of measurement properties. Responsiveness is the ability of a measure to pick-up change when the change occurs, and the minimally important difference is the smallest change/difference in a patient-reported outcome that patents perceive as important. The presentation will introduce traditional approaches to assess responsiveness and estimate minimally important difference. An empirical analysis in total hip and knee replacement patients will be used as an example.


(340) Responsiveness and Minimally Important Difference of Patient-reported outcome: What, Why, and How
Seminar: (340) Responsiveness and Minimally Important Difference of Patient-reported outcome: What, Why, and How
Speaker: Dr. Xuejing Jin, Postdoctoral fellow at School of Public Health, University of Alberta, Canada
Time: 2018-12-27 10:30 to 2018-12-27 11:30
Venue: Meeting room (406), Building 24
Organizer:

SPST


Brief Biography:

Xuejing Jin, PhD

  • Title: Postdoctoral fellow at the University of Alberta 
  • Research Fields: Patient-reported outcome measures; Psychometrics; Health technology assessment; Trial-based/model-based economic evaluations; Evidence-based medicine;


  • Education background: PhD in the field of health technology assessment from McMaster University, Canada

Abstract:

Responsiveness and minimally important difference are two important types of measurement properties. Responsiveness is the ability of a measure to pick-up change when the change occurs, and the minimally important difference is the smallest change/difference in a patient-reported outcome that patents perceive as important. The presentation will introduce traditional approaches to assess responsiveness and estimate minimally important difference. An empirical analysis in total hip and knee replacement patients will be used as an example.