| Title |
Can Falls Risk Prediction Tools Correctly Identify Fall-Prone Elderly Rehabilitation Inpatients? A Systematic Review and Meta-Analysis
|
|---|---|
| Published in |
PLOS ONE, July 2012
|
| DOI | 10.1371/journal.pone.0041061 |
| Pubmed ID | |
| Authors |
Bruno Roza da Costa, Anne Wilhelmina Saskia Rutjes, Angelico Mendy, Rosalie Freund-Heritage, Edgar Ramos Vieira |
| Abstract |
Falls of elderly people may cause permanent disability or death. Particularly susceptible are elderly patients in rehabilitation hospitals. We systematically reviewed the literature to identify falls prediction tools available for assessing elderly inpatients in rehabilitation hospitals. |
X Demographics
The data shown below were collected from the profiles of 17 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 7 | 41% |
| Sao Tome and Principe | 1 | 6% |
| Unknown | 9 | 53% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 65% |
| Practitioners (doctors, other healthcare professionals) | 3 | 18% |
| Scientists | 3 | 18% |
Mendeley readers
The data shown below were compiled from readership statistics for 177 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| Italy | 1 | <1% |
| Switzerland | 1 | <1% |
| Canada | 1 | <1% |
| Unknown | 173 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 26 | 15% |
| Student > Ph. D. Student | 23 | 13% |
| Student > Master | 21 | 12% |
| Student > Bachelor | 18 | 10% |
| Other | 16 | 9% |
| Other | 44 | 25% |
| Unknown | 29 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 59 | 33% |
| Nursing and Health Professions | 29 | 16% |
| Engineering | 14 | 8% |
| Computer Science | 8 | 5% |
| Neuroscience | 6 | 3% |
| Other | 19 | 11% |
| Unknown | 42 | 24% |