| Title |
A new model for the length of stay of hospital patients
|
|---|---|
| Published in |
Health Care Management Science, July 2014
|
| DOI | 10.1007/s10729-014-9288-9 |
| Pubmed ID | |
| Authors |
Marco Papi, Luca Pontecorvi, Roberto Setola |
| Abstract |
Hospital Length of Stay (LoS) is a valid proxy to estimate the consumption of hospital resources. Average LoS, however, albeit easy to quantify and calculate, can be misleading if the underlying distribution is not symmetric. Therefore the average does not reflect the nature of such underlying distribution and may mask different effects. This paper uses routinely collected data of an Italian hospital patients from different departments over a period of 5 years. This will be the basis for a running example illustrating the alternative models of patients length of stay. The models includes a new density model called Hypergamma. The paper concludes by summarizing these various modelling techniques and highlighting the use of a risk measure in bed planning. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 43 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 12% |
| Student > Ph. D. Student | 4 | 9% |
| Professor | 3 | 7% |
| Student > Bachelor | 2 | 5% |
| Student > Doctoral Student | 2 | 5% |
| Other | 7 | 16% |
| Unknown | 20 | 47% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 9% |
| Engineering | 4 | 9% |
| Nursing and Health Professions | 4 | 9% |
| Business, Management and Accounting | 3 | 7% |
| Economics, Econometrics and Finance | 2 | 5% |
| Other | 6 | 14% |
| Unknown | 20 | 47% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 05 August 2014.
All research outputs
#15,303,385
of 22,759,618 outputs
Outputs from Health Care Management Science
#176
of 285 outputs
Outputs of similar age
#132,285
of 228,919 outputs
Outputs of similar age from Health Care Management Science
#4
of 8 outputs
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So far Altmetric has tracked 285 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one is in the 30th percentile – i.e., 30% of its peers scored the same or lower than it.
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