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From bed-blocking to delayed discharges: precursors and interpretations of a contested concept

Overview of attention for article published in Health Services Management Research, August 2010
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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 (#11 of 220)
  • High Attention Score compared to outputs of the same age (91st percentile)

Mentioned by

news
1 news outlet
policy
1 policy source
twitter
2 X users

Citations

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35 Dimensions

Readers on

mendeley
57 Mendeley
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Title
From bed-blocking to delayed discharges: precursors and interpretations of a contested concept
Published in
Health Services Management Research, August 2010
DOI 10.1258/hsmr.2009.009026
Pubmed ID
Authors

Ana Manzano-Santaella

Abstract

Delayed hospital discharges have been identified as a problem for the English National Health Service and have prompted several policy and service development responses in the last decade. However, bed-blocking is an issue surrounded by rival interpretations on how and why hospital delays occur and the way in which they are measured. To better understand this contested concept, this paper provides a brief description of the historical accounts that framed the emergence of delayed hospital discharges as a phenomenon. Three key features of the bed-blocking concept are also analysed: the reduction of patients' length of stay to improve efficiency, the intrinsic methodological difficulties of measuring hospital delays and the most common reasons for delayed discharges. A description of the characteristics of the patients frequently labelled as delayed discharge, their common traits and how these have been examined by previous research is also provided. Finally, this paper argues that the presence of hospital delays in a health system tends to be considered as an indicator of two possible system inefficiencies: a failure in the discharge planning process, which generally blames social services departments for not ensuring timely services, or a shortage of alternative forms of care for this group of patients.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 2%
Unknown 56 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 18%
Student > Bachelor 7 12%
Researcher 6 11%
Student > Ph. D. Student 5 9%
Other 2 4%
Other 5 9%
Unknown 22 39%
Readers by discipline Count As %
Medicine and Dentistry 10 18%
Nursing and Health Professions 6 11%
Business, Management and Accounting 4 7%
Social Sciences 3 5%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Other 8 14%
Unknown 24 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 29 June 2023.
All research outputs
#2,236,657
of 23,986,470 outputs
Outputs from Health Services Management Research
#11
of 220 outputs
Outputs of similar age
#8,125
of 97,335 outputs
Outputs of similar age from Health Services Management Research
#1
of 1 outputs
Altmetric has tracked 23,986,470 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 220 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done particularly well, scoring higher than 95% 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 97,335 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 91% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them