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Exploring discharge prescribing errors and their propagation post-discharge: an observational study

Overview of attention for article published in International Journal of Clinical Pharmacy, July 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#33 of 1,256)
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

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1 policy source
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36 X users
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2 Facebook pages

Citations

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27 Dimensions

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62 Mendeley
Title
Exploring discharge prescribing errors and their propagation post-discharge: an observational study
Published in
International Journal of Clinical Pharmacy, July 2016
DOI 10.1007/s11096-016-0349-7
Pubmed ID
Authors

Ciara O’ Riordan, Tim Delaney, Tamasine Grimes

Abstract

Background Discharge prescribing error is common. Little is known about whether it persists post-discharge. Objective To explore the relationship between discharge prescribing error and post-discharge medication error. Setting This was a prospective observational study (March-May 2013) at an adult academic hospital in Ireland. Method Patients using three or more chronic medications pre-admission, with a clinical pharmacist documented gold-standard pre-admission medication list, having a chronic medication stopped or started in hospital and discharged to home were included. Within 10-14 days after discharge a gold standard discharge medication was prepared and compared to the discharge prescription to identify differences. Patients were telephoned to identify actual medication use. Community pharmacists, general practitioners and hospital prescribers were contacted to corroborate actual and intended medication use. Post-discharge medication errors were identified and the relationship to discharge prescribing error was explored. Main outcome measured Incidence, type, and potential severity of post-discharge medication error, and the relationship to discharge prescribing. Results Some 36 (43 %) of 83 patients experienced post-discharge medication error(s), for whom the majority (n = 31, 86 %) were at risk of moderate harm. Most (58 of 66) errors were discharge prescribing errors that persisted post-discharge. Unintentional prescription of an intentionally stopped medication; error in the dose, frequency or formulation and unintentional omission of active medication are the error types most likely to persist after discharge. Conclusion There is a need to implement discharge medication reconciliation to support medication optimisation post-hospitalisation.

X Demographics

X Demographics

The data shown below were collected from the profiles of 36 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 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Unknown 61 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 21%
Student > Ph. D. Student 9 15%
Researcher 7 11%
Student > Doctoral Student 4 6%
Student > Postgraduate 3 5%
Other 10 16%
Unknown 16 26%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 14 23%
Medicine and Dentistry 13 21%
Nursing and Health Professions 8 13%
Social Sciences 2 3%
Business, Management and Accounting 1 2%
Other 4 6%
Unknown 20 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 29. 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 12 June 2023.
All research outputs
#1,327,367
of 24,972,914 outputs
Outputs from International Journal of Clinical Pharmacy
#33
of 1,256 outputs
Outputs of similar age
#25,249
of 374,885 outputs
Outputs of similar age from International Journal of Clinical Pharmacy
#3
of 27 outputs
Altmetric has tracked 24,972,914 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,256 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has done particularly well, scoring higher than 97% 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 374,885 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 93% of its contemporaries.
We're also able to compare this research output to 27 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 92% of its contemporaries.