| Title |
The impact of hospital utilization on patient readmission rate
|
|---|---|
| Published in |
Health Care Management Science, September 2011
|
| DOI | 10.1007/s10729-011-9178-3 |
| Pubmed ID | |
| Authors |
David Anderson, Bruce Golden, Wolfgang Jank, Edward Wasil |
| Abstract |
We investigate the issue of patient readmission at a large academic hospital in the U.S. Specifically, we look for evidence that patients discharged when post-operative unit utilization is high are more likely to be readmitted. After examining data from 7,800 surgeries performed in 2007, we conclude that patients who are discharged from a highly utilized post-operative unit are more likely to be readmitted within 72 h. Each additional bed utilized at time of discharge increases the odds of readmission on average by 0.35% (Odds Ratio = 1.008, 95% CI [1.003, 1.012]). We propose that this effect is due to an increased discharge rate when the unit is highly utilized. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 67% |
| United States | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 9% |
| Iran, Islamic Republic of | 1 | 3% |
| India | 1 | 3% |
| Unknown | 27 | 84% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 25% |
| Student > Ph. D. Student | 6 | 19% |
| Student > Bachelor | 4 | 13% |
| Student > Doctoral Student | 3 | 9% |
| Professor > Associate Professor | 3 | 9% |
| Other | 7 | 22% |
| Unknown | 1 | 3% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 19% |
| Business, Management and Accounting | 5 | 16% |
| Social Sciences | 4 | 13% |
| Engineering | 3 | 9% |
| Economics, Econometrics and Finance | 3 | 9% |
| Other | 4 | 13% |
| Unknown | 7 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 14 April 2020.
All research outputs
#4,289,596
of 25,070,356 outputs
Outputs from Health Care Management Science
#43
of 300 outputs
Outputs of similar age
#22,094
of 129,653 outputs
Outputs of similar age from Health Care Management Science
#1
of 3 outputs
Altmetric has tracked 25,070,356 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 300 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one has done well, scoring higher than 85% 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 129,653 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 3 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