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Recording of hospitalizations for acute exacerbations of COPD in UK electronic health care records

Overview of attention for article published in Clinical Epidemiology, November 2016
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

twitter
6 tweeters

Citations

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20 Dimensions

Readers on

mendeley
36 Mendeley
Title
Recording of hospitalizations for acute exacerbations of COPD in UK electronic health care records
Published in
Clinical Epidemiology, November 2016
DOI 10.2147/clep.s117867
Pubmed ID
Authors

Kieran J Rothnie, Hana Müllerová, Sara L Thomas, Joht S Chandan, Liam Smeeth, John R Hurst, Kourtney Davis, Jennifer K Quint, Rothnie, KJ

Abstract

Accurate identification of hospitalizations for acute exacerbations of chronic obstructive pulmonary disease (AECOPD) within electronic health care records is important for research, public health, and to inform health care utilization and service provision. We aimed to develop a strategy to identify hospitalizations for AECOPD in secondary care data and to investigate the validity of strategies to identify hospitalizations for AECOPD in primary care data. We identified patients with chronic obstructive pulmonary disease (COPD) in the Clinical Practice Research Datalink (CPRD) with linked Hospital Episodes Statistics (HES) data. We used discharge summaries for recent hospitalizations for AECOPD to develop a strategy to identify the recording of hospitalizations for AECOPD in HES. We then used the HES strategy as a reference standard to investigate the positive predictive value (PPV) and sensitivity of strategies for identifying AECOPD using general practice CPRD data. We tested two strategies: 1) codes for hospitalization for AECOPD and 2) a code for AECOPD other than hospitalization on the same day as a code for hospitalization due to unspecified reason. In total, 27,182 patients with COPD were included. Our strategy to identify hospitalizations for AECOPD in HES had a sensitivity of 87.5%. When compared with HES, using a code suggesting hospitalization for AECOPD in CPRD resulted in a PPV of 50.2% (95% confidence interval [CI] 48.5%-51.8%) and a sensitivity of 4.1% (95% CI 3.9%-4.3%). Using a code for AECOPD and a code for hospitalization due to unspecified reason resulted in a PPV of 43.3% (95% CI 42.3%-44.2%) and a sensitivity of 5.4% (95% CI 5.1%-5.7%). Hospitalization for AECOPD can be identified with high sensitivity in the HES database. The PPV and sensitivity of strategies to identify hospitalizations for AECOPD in primary care data alone are very poor. Primary care data alone should not be used to identify hospitalizations for AECOPD. Instead, researchers should use data that are linked to data from secondary care.

Twitter Demographics

The data shown below were collected from the profiles of 6 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 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 39%
Student > Ph. D. Student 4 11%
Other 4 11%
Student > Master 3 8%
Lecturer > Senior Lecturer 2 6%
Other 3 8%
Unknown 6 17%
Readers by discipline Count As %
Medicine and Dentistry 19 53%
Pharmacology, Toxicology and Pharmaceutical Science 5 14%
Biochemistry, Genetics and Molecular Biology 2 6%
Computer Science 1 3%
Economics, Econometrics and Finance 1 3%
Other 1 3%
Unknown 7 19%

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 03 January 2017.
All research outputs
#3,826,302
of 14,557,458 outputs
Outputs from Clinical Epidemiology
#145
of 479 outputs
Outputs of similar age
#110,886
of 380,685 outputs
Outputs of similar age from Clinical Epidemiology
#7
of 25 outputs
Altmetric has tracked 14,557,458 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 479 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.1. This one has gotten more attention than average, scoring higher than 69% 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 380,685 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 70% of its contemporaries.
We're also able to compare this research output to 25 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 72% of its contemporaries.