Verifying Nursing Home Care Quality Using Minimum Data Set Quality Indicators and Other Quality Measures

Marilyn J. Rantz; Lori Popejoy; David R. Mehr; Mary Zwygart-Stauffacher; Lanis L. Hicks; Victoria Grando; Vicki S. Conn; Rose Porter; Jill Scott; Meridean Maas

doi:10.1097/00001786-199712000-00011

Verifying Nursing Home Care Quality Using Minimum Data Set Quality Indicators and Other Quality Measures

Marilyn J. Rantz, Lori Popejoy, David R. Mehr, Mary Zwygart-Stauffacher, Lanis L. Hicks, Victoria Grando, Vicki S. Conn, Rose Porter, Jill Scott, Meridean Maas

Research output: Contribution to journal › Article › peer-review

38 Scopus citations

Abstract

Researchers, providers and government agencies have devoted time and resources to the development of a set of Quality Indicators derived from Minimum Data Set (MDS) data. Little effort has been directed toward verifying that Quality Indicators derived from MDS data accurately measure nursing home quality. Researchers at the University of Missouri-Columbia have independently verified the accuracy of QI derived from MDS data using four different methods; 1) structured participative observation. 2) QI Observation Scoring Instrument, 3) Independent Observable Indicators of Quality Instrument, and 4) survey citations. Our team was able to determine that QIs derived from MDS data did differentiate nursing homes of good quality from those of poorer quality.

Original language	English (US)
Pages (from-to)	54-62
Number of pages	9
Journal	Journal of Nursing Care Quality
Volume	12
Issue number	2
DOIs	https://doi.org/10.1097/00001786-199712000-00011
State	Published - Dec 1997
Externally published	Yes

Keywords

MDS data
Nursing homes
Quality management

ASJC Scopus subject areas

General Nursing

Access to Document

10.1097/00001786-199712000-00011

Cite this

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title = "Verifying Nursing Home Care Quality Using Minimum Data Set Quality Indicators and Other Quality Measures",

abstract = "Researchers, providers and government agencies have devoted time and resources to the development of a set of Quality Indicators derived from Minimum Data Set (MDS) data. Little effort has been directed toward verifying that Quality Indicators derived from MDS data accurately measure nursing home quality. Researchers at the University of Missouri-Columbia have independently verified the accuracy of QI derived from MDS data using four different methods; 1) structured participative observation. 2) QI Observation Scoring Instrument, 3) Independent Observable Indicators of Quality Instrument, and 4) survey citations. Our team was able to determine that QIs derived from MDS data did differentiate nursing homes of good quality from those of poorer quality.",

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AU - Mehr, David R.

AU - Zwygart-Stauffacher, Mary

AU - Hicks, Lanis L.

AU - Grando, Victoria

AU - Conn, Vicki S.

AU - Porter, Rose

AU - Scott, Jill

AU - Maas, Meridean

PY - 1997/12

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AB - Researchers, providers and government agencies have devoted time and resources to the development of a set of Quality Indicators derived from Minimum Data Set (MDS) data. Little effort has been directed toward verifying that Quality Indicators derived from MDS data accurately measure nursing home quality. Researchers at the University of Missouri-Columbia have independently verified the accuracy of QI derived from MDS data using four different methods; 1) structured participative observation. 2) QI Observation Scoring Instrument, 3) Independent Observable Indicators of Quality Instrument, and 4) survey citations. Our team was able to determine that QIs derived from MDS data did differentiate nursing homes of good quality from those of poorer quality.

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Verifying Nursing Home Care Quality Using Minimum Data Set Quality Indicators and Other Quality Measures

Abstract

Keywords

ASJC Scopus subject areas

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