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Mendeley readers
| Title |
Validity of the RAI-MDS for ascertaining diabetes and comorbid conditions in long-term care facility residents
|
|---|---|
| Published in |
BMC Health Services Research, January 2014
|
| DOI | 10.1186/1472-6963-14-17 |
| Pubmed ID | |
| Authors |
Lisa M Lix, Lin Yan, David Blackburn, Nianping Hu, Verena Schneider-Lindner, Gary F Teare |
| Abstract |
This study assessed the validity of the Resident Assessment Instrument Minimum Data Set (RAI-MDS) Version 2.0 for diagnoses of diabetes and comorbid conditions in residents of long-term care facilities (LTCFs). |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 2% |
| Unknown | 59 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 13 | 22% |
| Researcher | 8 | 13% |
| Student > Ph. D. Student | 8 | 13% |
| Student > Bachelor | 6 | 10% |
| Student > Doctoral Student | 4 | 7% |
| Other | 9 | 15% |
| Unknown | 12 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 17 | 28% |
| Nursing and Health Professions | 8 | 13% |
| Social Sciences | 6 | 10% |
| Psychology | 4 | 7% |
| Mathematics | 3 | 5% |
| Other | 9 | 15% |
| Unknown | 13 | 22% |