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Full-Text Articles in Medicine and Health Sciences
Preferences For Physical Activity: A Conjoint Analysis Involving People With Chronic Knee Pain, Daniel Pinto, Ulf Bockenholt, Jungwha Lee, Rowland W. Chang, Leena Sharma, Daniel J. Finn, Allen W. Heinemann, Jane Louise Holl, Paul D. Hansen
Preferences For Physical Activity: A Conjoint Analysis Involving People With Chronic Knee Pain, Daniel Pinto, Ulf Bockenholt, Jungwha Lee, Rowland W. Chang, Leena Sharma, Daniel J. Finn, Allen W. Heinemann, Jane Louise Holl, Paul D. Hansen
Physical Therapy Faculty Research and Publications
Objective
To investigate individual preferences for physical activity (PA) attributes in adults with chronic knee pain, to identify clusters of individuals with similar preferences, and to identify whether individuals in these clusters differ by their demographic and health characteristics.
Design
An adaptive conjoint analysis (ACA) was conducted using the Potentially All Pairwise RanKings of all possible Alternatives (PAPRIKA) method to determine preference weights representing the relative importance of six PA attributes. Cluster analysis was performed to identify clusters of participants with similar weights. Chi-square and ANOVA were used to assess differences in individual characteristics by cluster. Multinomial logistic regression was …
Clinical Decision-Making For Thrombolysis Of Acute Minor Stroke Using Adaptive Conjoint Analysis, Ava L. Liberman, Daniel Pinto, Sara K. Rostanski, Daniel L. Labovitz, Andrew M. Naidech, Shyam Prabhakaran
Clinical Decision-Making For Thrombolysis Of Acute Minor Stroke Using Adaptive Conjoint Analysis, Ava L. Liberman, Daniel Pinto, Sara K. Rostanski, Daniel L. Labovitz, Andrew M. Naidech, Shyam Prabhakaran
Physical Therapy Faculty Research and Publications
Introduction:
There is practice variability in the treatment of patients with minor ischemic stroke with thrombolysis. We sought to determine which clinical factors physicians prioritize in thrombolysis decision-making for minor stroke using adaptive conjoint analysis.
Methods:
We conducted our conjoint analysis using the Potentially All Pairwise RanKings of all possible Alternatives methodology via the 1000Minds platform to design an online preference survey and circulated it to US physicians involved in stroke care. We evaluated 6 clinical attributes: language/speech deficits, motor deficits, other neurological deficits, history suggestive of increased risk of complication from thrombolysis, age, and premorbid disability. Survey participants were …