↓ Skip to main content

Language spoken at home and the association between ethnicity and doctor–patient communication in primary care: analysis of survey data for South Asian and White British patients

Overview of attention for article published in BMJ Open, January 2016
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

Mentioned by

twitter
7 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
29 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Language spoken at home and the association between ethnicity and doctor–patient communication in primary care: analysis of survey data for South Asian and White British patients
Published in
BMJ Open, January 2016
DOI 10.1136/bmjopen-2015-010042
Pubmed ID
Authors

Kara Brodie, Gary Abel, Jenni Burt, Brodie, Kara, Abel, Gary, Burt, Jenni

Abstract

To investigate if language spoken at home mediates the relationship between ethnicity and doctor-patient communication for South Asian and White British patients. We conducted secondary analysis of patient experience survey data collected from 5870 patients across 25 English general practices. Mixed effect linear regression estimated the difference in composite general practitioner-patient communication scores between White British and South Asian patients, controlling for practice, patient demographics and patient language. There was strong evidence of an association between doctor-patient communication scores and ethnicity. South Asian patients reported scores averaging 3.0 percentage points lower (scale of 0-100) than White British patients (95% CI -4.9 to -1.1, p=0.002). This difference reduced to 1.4 points (95% CI -3.1 to 0.4) after accounting for speaking a non-English language at home; respondents who spoke a non-English language at home reported lower scores than English-speakers (adjusted difference 3.3 points, 95% CI -6.4 to -0.2). South Asian patients rate communication lower than White British patients within the same practices and with similar demographics. Our analysis further shows that this disparity is largely mediated by language.

Twitter Demographics

The data shown below were collected from the profiles of 7 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Bangladesh 1 3%
Unknown 28 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 21%
Student > Master 4 14%
Student > Ph. D. Student 4 14%
Student > Bachelor 4 14%
Unspecified 3 10%
Other 8 28%
Readers by discipline Count As %
Medicine and Dentistry 11 38%
Unspecified 5 17%
Social Sciences 4 14%
Psychology 3 10%
Nursing and Health Professions 3 10%
Other 3 10%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 March 2016.
All research outputs
#1,480,992
of 7,367,623 outputs
Outputs from BMJ Open
#2,218
of 5,068 outputs
Outputs of similar age
#74,474
of 280,915 outputs
Outputs of similar age from BMJ Open
#169
of 364 outputs
Altmetric has tracked 7,367,623 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,068 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.9. This one has gotten more attention than average, scoring higher than 55% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 280,915 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 364 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.