Title |
The Resident Assessment Instrument-Minimum Data Set 2.0 quality indicators: a systematic review
|
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Published in |
BMC Health Services Research, June 2010
|
DOI | 10.1186/1472-6963-10-166 |
Pubmed ID | |
Authors |
Alison M Hutchinson, Doris L Milke, Suzanne Maisey, Cynthia Johnson, Janet E Squires, Gary Teare, Carole A Estabrooks |
Abstract |
The Resident Assessment Instrument-Minimum Data Set (RAI-MDS) 2.0 is designed to collect the minimum amount of data to guide care planning and monitoring for residents in long-term care settings. These data have been used to compute indicators of care quality. Use of the quality indicators to inform quality improvement initiatives is contingent upon the validity and reliability of the indicators. The purpose of this review was to systematically examine published and grey research reports in order to assess the state of the science regarding the validity and reliability of the RAI-MDS 2.0 Quality Indicators (QIs). |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Canada | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Canada | 4 | 2% |
United States | 3 | 2% |
United Kingdom | 2 | 1% |
Spain | 1 | <1% |
Switzerland | 1 | <1% |
Unknown | 185 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 36 | 18% |
Researcher | 32 | 16% |
Student > Ph. D. Student | 28 | 14% |
Student > Bachelor | 12 | 6% |
Student > Doctoral Student | 10 | 5% |
Other | 41 | 21% |
Unknown | 37 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 57 | 29% |
Nursing and Health Professions | 34 | 17% |
Social Sciences | 20 | 10% |
Psychology | 8 | 4% |
Computer Science | 6 | 3% |
Other | 31 | 16% |
Unknown | 40 | 20% |