Maureen Kelly
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Maureen Kelly has a total of 6 co-authors. Here are the top co-authors by number of shared publications:
- Brant E. Fries
Institute of Gerontology and School of Public Health, University of Michigan, 300 North Ingalls, Ann Arbor, MI 48109-2007, USA
1 shared publication Jeffrey W Poss
Department of Health Studies and Gerontology, Waterloo, Ontario, Canada
1 shared publication- John N Morris
Hebrew Senior Life, 1200 Centre Street, Boston, MA 02131 USA
1 shared publication - John P. Hirdes
Department of Health Studies and Gerontology, University of Waterloo, 200 University Avenue West, Waterloo, ON, Canada, N2L 3G1, and director, Homewood Research Institute, Guelph, ON, Canada
1 shared publication - Katherine Berg
University of Toronto, Toronto, Canada
1 shared publication - Richard N. Jones
Department of Psychiatry and Human Behavior, Warren Alpert Medical School, Brown University, Providence, Rhode Island, United States
1 shared publication
Latest Publications
- Open Access
- 15 April 2010
- Published by Springer Nature in BMC Health Services Research
- Vol. 10 (1) , 96
Adjustment of nursing home quality indicators
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.
- 15 April 2010
- Published by Springer Nature in BMC Health Services Research
- Vol. 10 (1) , 96
Open AccessAdjustment of nursing home quality indicators
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.