| Title |
Integrated postdischarge transitional care in a hospitalist system to improve discharge outcome: an experimental study
|
|---|---|
| Published in |
BMC Medicine, August 2011
|
| DOI | 10.1186/1741-7015-9-96 |
| Pubmed ID | |
| Authors |
Chin-Chung Shu, Nin-Chieh Hsu, Yu-Feng Lin, Jann-Yuan Wang, Jou-Wei Lin, Wen-Je Ko |
| Abstract |
The postdischarge period is a vulnerable time for patients, with high rates of adverse events that may cause unnecessary readmissions, especially in the elderly. Because postdischarge care continuity is often interrupted after hospitalist care, close follow-up may decrease patient readmission. In this study, we aimed to investigate the impact of a quality improvement program, integrated postdischarge transitional care (PDTC), in Taiwan's hospitalist system. |
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 % |
|---|---|---|
| India | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 1% |
| France | 1 | 1% |
| Ireland | 1 | 1% |
| Brazil | 1 | 1% |
| United Kingdom | 1 | 1% |
| Spain | 1 | 1% |
| Japan | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 77 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 17 | 20% |
| Student > Ph. D. Student | 15 | 18% |
| Researcher | 10 | 12% |
| Other | 9 | 11% |
| Student > Postgraduate | 6 | 7% |
| Other | 14 | 16% |
| Unknown | 14 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 31 | 36% |
| Nursing and Health Professions | 15 | 18% |
| Psychology | 6 | 7% |
| Social Sciences | 5 | 6% |
| Engineering | 3 | 4% |
| Other | 7 | 8% |
| Unknown | 18 | 21% |
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 18 August 2011.
All research outputs
#18,293,967
of 22,649,029 outputs
Outputs from BMC Medicine
#3,168
of 3,392 outputs
Outputs of similar age
#101,612
of 123,290 outputs
Outputs of similar age from BMC Medicine
#26
of 28 outputs
Altmetric has tracked 22,649,029 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,392 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.6. This one is in the 3rd percentile – i.e., 3% of its peers scored the same or lower than it.
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 123,290 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.