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Development of a Risk-Adjusted Urinary Incontinence Outcome Measure of Quality for Nursing Homes

Bibliographic Data

ID9099306
AuthorsDana B Mukamel (0000-0003-4147-5785, University of Rochester Medicine, corresponding author), Nancy M Watson, Hongdao Meng (0000-0003-4551-9562, corresponding author), William D Spector
Year2003
Volume41
Issue4
Pages467-478
Publication date2003-04-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueMedical Care (JOURNAL)
Journal identifiersISSN: 0025-7079 • E-ISSN: 1537-1948
PublisherOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/01.mlr.0000053227.95476.02
PMID12665711
OpenAlexW2313944614
LanguageEN
Citations received1
References cited36

BACKGROUND: Quality of nursing home care is of ongoing concern. The availability of uniform, patient-level information-the Minimum Data Set (MDS)-offers the opportunity to assess quality based on risk-adjusted health outcomes. OBJECTIVE: To develop a risk-adjusted measure of quality based on urinary incontinence (UI) outcomes for nursing homes, derived from the MDS. RESEARCH DESIGN: A retrospective statistical analysis of individual resident level data. SUBJECTS: MDS+ data for 46,453 residents of 671 nursing homes in New York State during the 1995 to 1997 period. MEASURES: Improvement in UI status was defined based on the resident's UI status at 3 months post admission relative to status at admission. Individual risk factors were also defined at admission. Facility level quality indicators were developed. RESULTS: Facility level indicators show substantial variation. An average facility, providing average quality care to a population of average risk, would experience improvement in UI outcomes for 11 of its 25 admissions in a year. The difference between the best and the worst facilities (two standard deviations above and below the average) is eight new residents with improvement in UI outcomes out of 25 annual admissions. CONCLUSIONS: This study demonstrates the feasibility of measuring quality of UI care based on nationally available MDS data. The measures presented can be used to support internal quality improvement efforts. Before such measures can be used externally, either in the survey process or in quality report cards, they should be further validated

Data mining · Measure (data warehouse) · Nursing homes · Quality (philosophy) · Urinary incontinence · Computer Science · Frailty in Older Adults · Geriatric Care and Nursing Homes · Medicine · Nursing · Pelvic floor disorders treatments · Urology

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  • Risk-Adjusted Outcome Measures and Quality of Care in Nursing Homes

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Unique citing works1
Citations per year0.06
Citation span2008 - 2008 (1)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 1

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