Literature DB >> 17132355

Communication between South Asian patients and GPs: comparative study using the Roter Interactional Analysis System.

Richard D Neal1, Nasreen Ali, Karl Atkin, Victoria L Allgar, Shahid Ali, Tim Coleman.   

Abstract

BACKGROUND: The UK South Asian population has poorer health outcomes. Little is known about their process of care in general practice, or in particular the process of communication with GPs. AIM: To compare the ways in which white and South Asian patients communicate with white GPs. DESIGN OF STUDY: Observational study of video-recorded consultations using the Roter Interactional Analysis System (RIAS).
SETTING: West Yorkshire, UK.
METHOD: One hundred and eighty-three consultations with 11 GPs in West Yorkshire, UK were video-recorded and analysed.
RESULTS: Main outcome measures were consultation length, verbal domination, 16 individual abridged RIAS categories, and three composite RIAS categories; with comparisons between white patients, South Asian patients fluent in English and South Asian patients nonfluent in English. South Asians fluent in English had the shortest consultations and South Asians non-fluent in English the longest consultations (one-way ANOVA F = 7.173, P = 0.001). There were no significant differences in verbal domination scores between the three groups. White patients had more affective (emotional) consultations than South Asian patients, and played a more active role in their consultations, as did their GPs. GPs spent less time giving information to South Asian patients who were not fluent in English and more time asking questions. GPs spent less time giving information to South Asian patients fluent in English compared with white patients.
CONCLUSIONS: These findings were expected between patients fluent and non-fluent in English but do demonstrate their nature. The differences between white patients and South Asian patients fluent in English warrant further explanation. How much of this was due to systematic differences in behaviour by the GPs, or was in response to patients' differing needs and expectations is unknown. These differences may contribute to differences in health outcomes.

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Mesh:

Year:  2006        PMID: 17132355      PMCID: PMC1927096     

Source DB:  PubMed          Journal:  Br J Gen Pract        ISSN: 0960-1643            Impact factor:   5.386


  21 in total

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