Biomedical subjects

Vicenç Quera

Publications and source records attributed to Vicenç Quera.

2 recordsLinked to original sources

PubMed2004

Physician-patient dialogue surrounding patients' expression of concern: applying sequence analysis to RIAS.

The aim of this study was to analyse with sequence analysis physician-patient dialogue surrounding patients' expression of emotional cues. Two samples, sample 1 consisting of 36 cancer patient consultations conducted by four oncologists, and sample 2 consisting 79 consultations of haematology patients conducted by nine specialists, were audiotaped and coded with the Roter Interaction Analysis System (RIAS). Sequence analysis by means of a generalized sequential querier (GSEQ) was applied to the coded data. Lag sequential analysis (analysed using RIAS categories) showed that certain behaviours of physicians corresponded with patients' expressions of concern. Physicians in both samples used silence and minimal encouragers before patient concern. The oncologists also used optimistic and affirming responses. The most common physician responses to patients' concern were minimal encouragers or affirming and optimistic responses. Sequence analysis based on RIAS coding appears to be a promising method for the study of doctor-patient dialogue and should be utilized more in studies of the communication process in medical consultations.

Adult↗

PubMedDate not supplied

Exploring rare patient behaviour with sequential analysis: an illustration.

AIMS: To illustrate the application of sequence analysis to the study of rare patient behaviour in physician-patient dialogue. The rare behaviour in question here is patients' expression of emotional cues and concerns. We investigate which physician behaviours precede and follow such expressions. METHODS: Thirty-five cancer-patient consultations performed by four oncologists (two male and two female) were analysed. The consultations were coded with the Roter Interaction Analysis System (RIAS). Sequence analysis by means of Sequential Data Interchange Standard (SDIS) and the Generalized Sequential Querier (GSEQ) was applied to the coded data. Lag analysis (using RIAS categories) was applied to associate the given behaviour (patient 'concerns') with target behaviours (physician utterances). RESULTS: For female physicians the significantly associated behaviour before the patient's expression of concern was reassurance, while male physicians also applied facilitation behaviour. After patients' expression of concern both reassurance and facilitating behaviour were shown by physicians of both genders. CONCLUSIONS: Sequence analysis appears to be a clinically meaningful and statistically sound method for analysing are patient utterances and associated physician behaviour.

Communication↗