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Jennifer Christiano

Publications and source records attributed to Jennifer Christiano.

2 recordsLinked to original sources

Developing and validating a conceptual model of recurring problems in teaching 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.

Ambulatory Care↗

Testing the exportability of a tool for detecting operational problems in VA teaching clinics.

BACKGROUND: Recurrent operational problems in teaching clinics may be caused by the different medical preferences of patients, residents, faculty, and administrators. These preference differences can be identified by cultural consensus analysis (CCA), a standard anthropologic tool. OBJECTIVE: This study tests the exportability of a unique CCA tool to identify site-specific operational problems at 5 different VA teaching clinics. DESIGN: We used the CCA tool at 5 teaching clinics to identify group preference differences between the above groups. We averaged the CCA results for all 5 sites. We compared each site with the averages in order to isolate each site's most anomalous responses. Major operational problems were independently identified by workgroups at each site. Cultural consensus analysis performance was then evaluated by comparison with workgroup results. PARTICIPANTS: Twenty patients, 10 residents, 10 faculty, members, and 10 administrators at each site completed the CCA. Workgroups included at minimum: a patient, resident, faculty member, nurse, and receptionist or clinic administrator. APPROACH: Cultural consensus analysis was performed at each site. Problems were identified by multidisciplinary workgroups, prioritized by anonymous multivoting, and confirmed by limited field observations and interviews. Cultural consensus analysis results were compared with workgroup results. RESULTS: The CCA detected systematic, group-specific preference differences at each site. These were moderately to strongly associated with the problems independently identified by the workgroups. The CCA proved to be a useful tool for exploring the problems in depth and for detecting previously unrecognized problems. CONCLUSIONS: This CCA worked in multiple VA sites. It may be adapted to work in other settings or to better detect other clinic problems.

Ambulatory Care Facilities↗