Home > Publications . Search All . Browse All . Country . Browse PSC Pubs . PSC Report Series

PSC In The News

RSS Feed icon

Buchmueller says employee wages are hit harder than corporate profits by rising health insurance costs

Davis-Kean et al. link children's self-perceptions to their math and reading achievement

Yang and Mahajan examine how hurricanes impact migration to the US

More News

Highlights

Pamela Smock elected to PAA Committee on Publications

Viewing the eclipse from ISR-Thompson

Paula Fomby to succeed Jennifer Barber as Associate Director of PSC

PSC community celebrates Violet Elder's retirement from PSC

More Highlights

Next Brown Bag

Mon, Sept 11, 2017, noon:
Welcoming of Postdoctoral Fellows: Angela Bruns, Karra Greenberg, Sarah Seelye and Emily Treleaven

'How do you know what Aunt Martha looks like?' A video elicitation study exploring tacit clues in doctor-patient interactions

Archived Abstract of Former PSC Researcher

Henry, Stephen, J.H. Forman, and M.D. Fetters. 2011. "'How do you know what Aunt Martha looks like?' A video elicitation study exploring tacit clues in doctor-patient interactions." Journal of Evaluation in Clinical Practice, 17(5): 933-939.

Rationale and objectives Theory suggests that tacit clues inform clinical judgements, but the prevalence and role of tacit clues during clinical interactions is unknown. This study explored whether doctors and patients identify information likely to be tacit clues or judgements based on tacit clues during health maintenance examinations. Methods Qualitative analysis of video elicitation interview transcripts involving 18 community-based primary care doctors and 36 patients. Outcomes were description and analysis of tacit clues and judgements based on tacit clues mentioned by participants. Results A total of 57 references to tacit clues and 53 references to judgements based on tacit clues were identified from patient and doctor transcripts. Non-verbal behaviours comprised the most common category of tacit clues (53% of doctor comments; 42% of patient comments). Patients mostly discussed judgements based on tacit clues that related to the doctor-patient relationship. Doctors discussed actively using non-verbal behaviours to provide patients with tacit clues about the doctor-patient relationship. They also mentioned tacit clues that informed medical judgements and decision making. Gestalt judgements based on tacit clues were common (33% of doctor comments). Several participants identified instances in which they had difficulty articulating their rationale for specific judgements. Doctors varied widely in how frequently they mentioned tacit clues. Conclusion During video elicitation interviews, patients and doctors identified tacit clues and judgements based on these clues as playing a role during health maintenance examinations. Future research should further elucidate the role of tacit clues in medical judgements and doctor-patient relationships.

DOI:10.1111/j.1365-2753.2010.01628.x (Full Text)

Country of focus: United States of America.

Browse | Search : All Pubs | Next