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Prior doctor shopping resulting from differential treatment correlates with differences in current patient‐provider relationships
Author(s) -
Gudzune Kimberly A.,
Bennett Wendy L.,
Cooper Lisa A.,
Clark Jeanne M.,
Bleich Sara N.
Publication year - 2014
Publication title -
obesity
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.438
H-Index - 199
eISSN - 1930-739X
pISSN - 1930-7381
DOI - 10.1002/oby.20808
Subject(s) - overweight , primary care , medicine , obesity , logistic regression , association (psychology) , differential (mechanical device) , family medicine , psychology , engineering , psychotherapist , aerospace engineering
Objective To determine the prevalence of doctor shopping resulting from differential treatment and to examine associations between this shopping and current primary care relationships. Methods In 2012, a national internet‐based survey of 600 adults receiving primary care in the past year with a BMI ≥ 25 kg/m 2 was conducted. Our independent variable was “switching doctors because I felt treated differently because of my weight.” Logistic regression models to examine the association of prior doctor shopping with characteristics of current primary care relationships: duration, trust in primary care provider (PCP), and perceived PCP weight‐related judgment, adjusted for patient factors were used. Results Overall, 13% of adults with overweight/obesity reported previously doctor shopping resulting from differential treatment. Prior shoppers were more likely to report shorter durations of their current relationships [73% vs. 52%; p  = 0.01] or perceive that their current PCP judged them because of their weight [74% vs. 11%; p  < 0.01] than nonshoppers. No significant differences in reporting high trust in current PCPs were found. Conclusions A subset of patients with overweight/obesity doctor shop resulting from perceived differential treatment. These prior negative experiences have no association with trust in current relationships, but our results suggest that patients may remain sensitive to provider weight bias.

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