You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
| Title |
Using routine inpatient data to identify patients at risk of hospital readmission
|
|---|---|
| Published in |
BMC Health Services Research, June 2009
|
| DOI | 10.1186/1472-6963-9-96 |
| Pubmed ID | |
| Authors |
Stuart Howell, Michael Coory, Jennifer Martin, Stephen Duckett |
| Abstract |
A relatively small percentage of patients with chronic medical conditions account for a much larger percentage of inpatient costs. There is some evidence that case-management can improve health and quality-of-life and reduce the number of times these patients are readmitted. To assess whether a statistical algorithm, based on routine inpatient data, can be used to identify patients at risk of readmission and who would therefore benefit from case-management. |
Mendeley readers
The data shown below were compiled from readership statistics for 136 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 2% |
| Argentina | 2 | 1% |
| Spain | 2 | 1% |
| Iran, Islamic Republic of | 1 | <1% |
| Brazil | 1 | <1% |
| Unknown | 127 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 29 | 21% |
| Student > Master | 15 | 11% |
| Student > Doctoral Student | 14 | 10% |
| Other | 14 | 10% |
| Student > Ph. D. Student | 12 | 9% |
| Other | 27 | 20% |
| Unknown | 25 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 56 | 41% |
| Nursing and Health Professions | 15 | 11% |
| Engineering | 6 | 4% |
| Social Sciences | 5 | 4% |
| Computer Science | 3 | 2% |
| Other | 17 | 13% |
| Unknown | 34 | 25% |