"Looking Under the Hood" of Anchor-Based Assessment of Clinically Important Change: A Machine Learning Approach.

Schwartz, Carolyn E; Stark, Roland B; Michael, Wesley; Rapkin, Bruce D; Finkelstein, Joel A

Schwartz, Carolyn E; Stark, Roland B; Michael, Wesley; Rapkin, Bruce D; Finkelstein, Joel A.

Affiliation

Schwartz CE; DeltaQuest Foundation, Inc, Concord, MA, USA; Departments of Medicine and Orthopaedic Surgery, Tufts University School of Medicine, Boston, MA, USA. Electronic address: carolyn.schwartz@deltaquest.org.
Stark RB; DeltaQuest Foundation, Inc, Concord, MA, USA.
Michael W; Rare Patient Voice, LLC, Towson, MD, USA.
Rapkin BD; Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA.
Finkelstein JA; Divisions of Orthopedic Surgery and Spine Surgery, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.

Value Health ; 24(7): 1009-1015, 2021 07.

Article in En | MEDLINE | ID: mdl-34243824

Subject(s)

Caregivers/psychology; Chronic Disease; Machine Learning; Change Management; Cognition; Female; Humans; Male; Middle Aged; Patient Reported Outcome Measures; Sociodemographic Factors; Surveys and Questionnaires

Key words

Global Assessment of Change; attributions; cognitive processes; domain; interpretation; machine learning; patient-reported outcomes

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Chronic Disease / Caregivers / Machine Learning Type of study: Prognostic_studies / Qualitative_research Limits: Female / Humans / Male / Middle aged Language: En Journal: Value Health Journal subject: FARMACOLOGIA Year: 2021 Type: Article

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