Physician Styles of Patient Management as a Potential Source of Disparities: Cluster Analysis from a Factorial Experiment. (22nd October 2012)

• Record Type: Journal Article
• Authors: Lutfey, Karen E.; Gerstenberger, Eric; McKinlay, John B.
• Is Part Of: Health services research. Volume 48:Number 3(2013:Jun.)
• Page Start: 1116
• Page End: 1134
• Publication Date: 2012-10-22
• Subjects: Medical decision making -- medical practice variation -- cluster analysis -- vignettes -- coronary heart disease; Medical care -- Periodicals; Medical care -- Evaluation -- Periodicals; Hospital care -- Periodicals; Health services administration -- Periodicals; 362
• DOI: 10.1111/1475-6773.12005
• Languages: English
• ISSNs: 0017-9124

Abstract

Abstract : Objective: To identify styles of physician decision making (as opposed to singular clinical actions) and to analyze their association with variations in the management of a vignette presentation of coronary heart disease (CHD). Data Source: Primary data were collected from primary care physicians in North and South Carolina. Study Design: In a balanced factorial experimental design, primary care physicians viewed one of 16 (2 4 ) video vignette presentations of CHD and provided detailed information about how they would manage the case. Data Collection Method: 256 MD primary care physicians were interviewed face‐to‐face in North and South Carolina. Principal Findings: We identify three clusters depicting unique styles of CHD management that are robust to controls for physician (gender and level of experience) and patient characteristics (age, gender, socioeconomic status, and race) as well as key organizational features of physicians' work settings. Physicians in Cluster 1 "Cardiac" ( N = 92) were more likely to focus on cardiac issues compared with their counterparts; physicians in Cluster 2 "Talkers" ( N = 93) were more likely to give advice and take additional medical history; whereas physicians in Cluster 3 "Minimalists" ( N = 71) were less likely than their counterparts to take action on any of the types of management behavior. Conclusions: Variations in styles of decision making, which encompass multiple outcome variables and extend beyond individual‐level demographic predictors, may add to our understanding of disparities in health quality and outcomes.