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Population and patient factors affecting emergency department attendance in London: retrospective cohort analysis of linked primary and secondary care records

Overview of attention for article published in British Journal of General Practice, January 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#11 of 4,899)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
77 news outlets
twitter
474 X users
facebook
1 Facebook page
googleplus
1 Google+ user

Citations

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25 Dimensions

Readers on

mendeley
116 Mendeley
Title
Population and patient factors affecting emergency department attendance in London: retrospective cohort analysis of linked primary and secondary care records
Published in
British Journal of General Practice, January 2018
DOI 10.3399/bjgp18x694397
Pubmed ID
Authors

Sally A Hull, Kate Homer, Kambiz Boomla, John Robson, Mark Ashworth

Abstract

Population factors, including social deprivation and morbidity, predict the use of emergency departments (EDs). To link patient-level primary and secondary care data to determine whether the association between deprivation and ED attendance is explained by multimorbidity and other clinical factors in the GP record. Retrospective cohort study based in East London. Primary care demographic, consultation, diagnostic, and clinical data were linked with ED attendance data. GP Patient Survey (GPPS) access questions were linked to practices. Adjusted multilevel analysis for adults showed a progressive rise in ED attendance with increasing numbers of long-term conditions (LTCs). Comparing two LTCs with no conditions, the odds ratio (OR) is 1.28 (95% confidence interval [CI] = 1.25 to 1.31); comparing four or more conditions with no conditions, the OR is 2.55 (95% CI = 2.44 to 2.66). Increasing annual GP consultations predicted ED attendance: comparing zero with more than two consultations, the OR is 2.44 (95% CI = 2.40 to 2.48). Smoking (OR 1.30, 95% CI = 1.28 to 1.32), being housebound (OR 2.01, 95% CI = 1.86 to 2.18), and age also predicted attendance. Patient-reported access scores from the GPPS were not a significant predictor. For children, younger age, male sex, white ethnicity, and higher GP consultation rates predicted attendance. Using patient-level data rather than practice-level data, the authors demonstrate that the burden of multimorbidity is the strongest clinical predictor of ED attendance, which is independently associated with social deprivation. Low use of the GP surgery is associated with low attendance at ED. Unlike other studies, the authors found that adult patient experience of GP access, reported at practice level, did not predict use.

X Demographics

X Demographics

The data shown below were collected from the profiles of 474 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 116 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 116 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 21 18%
Researcher 17 15%
Student > Ph. D. Student 10 9%
Student > Bachelor 10 9%
Other 7 6%
Other 17 15%
Unknown 34 29%
Readers by discipline Count As %
Medicine and Dentistry 38 33%
Nursing and Health Professions 17 15%
Psychology 5 4%
Social Sciences 5 4%
Biochemistry, Genetics and Molecular Biology 3 3%
Other 11 9%
Unknown 37 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 917. 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 January 2022.
All research outputs
#18,753
of 25,517,918 outputs
Outputs from British Journal of General Practice
#11
of 4,899 outputs
Outputs of similar age
#391
of 470,026 outputs
Outputs of similar age from British Journal of General Practice
#2
of 102 outputs
Altmetric has tracked 25,517,918 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,899 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.7. This one has done particularly well, scoring higher than 99% 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 470,026 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 102 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.