Some problems in clinic function recur because of unexpected value differences between patients, faculty, and residents. Cultural consensus analysis (CCA) is a method used by anthropologists to identify groups with shared values. After conducting an ethnographic study and using focus groups, we developed and validated a CCA tool for use in clinics. Using this instrument, we identified distinct groups with 6 important value differences between those groups. An analysis of these value differences suggested specific and pragmatic interventions to improve clinic functioning. The instrument has also performed well in preliminary tests at another clinic.
Recurrent problems in medical teaching clinic are common and difficult to address because of complex interpersonal dynamics. To minimize this difficulty, we developed a conceptual model that simplifies problems and identifies the root cause of tension between groups in clinic. We used recursive analysis and modeling of the data from a larger multi-site, multi-method study of problems in teaching clinic. The first dataset from this study consisted of problem lists generated and prioritized by knowledgeable insiders from each site. The second dataset was a cultural consensus analysis independently performed at each site. The final model was checked for face validity and construct validity (using model predictions versus prior data and convergent/discriminant analysis). The study was performed in five Veterans Affairs teaching clinics in the U.S. Our final model, the Perception of Care Map, is a pentagram with five critical perspectives of the clinic visit. These five perspectives are structured care, educational care, relationship-based care, algorithmic care and efficient care. Each group emphasizes one or more of these perspectives, and group locations on the conceptual map explain the observed tensions between groups. Validity of the model is high. The Perception of Care Map may be a useful adjunct for understanding and addressing recurrent problems in teaching clinic.
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