Title |
Adjustment of nursing home quality indicators
|
---|---|
Published in |
BMC Health Services Research, April 2010
|
DOI | 10.1186/1472-6963-10-96 |
Pubmed ID | |
Authors |
Richard N Jones, John P Hirdes, Jeffrey W Poss, Maureen Kelly, Katharine Berg, Brant E Fries, John N Morris |
Abstract |
This manuscript describes a method for adjustment of nursing home quality indicators (QIs) defined using the Center for Medicaid & Medicare Services (CMS) nursing home resident assessment system, the Minimum Data Set (MDS). QIs are intended to characterize quality of care delivered in a facility. Threats to the validity of the measurement of presumed quality of care include baseline resident health and functional status, pattern of comorbidities, and facility case mix. The goal of obtaining a valid facility-level estimate of true quality of care should include adjustment for resident- and facility-level sources of variability. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 2% |
United States | 1 | 2% |
Unknown | 46 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 13 | 27% |
Student > Master | 6 | 13% |
Student > Doctoral Student | 4 | 8% |
Student > Ph. D. Student | 4 | 8% |
Professor | 3 | 6% |
Other | 11 | 23% |
Unknown | 7 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 11 | 23% |
Nursing and Health Professions | 10 | 21% |
Social Sciences | 9 | 19% |
Business, Management and Accounting | 3 | 6% |
Engineering | 2 | 4% |
Other | 5 | 10% |
Unknown | 8 | 17% |