Building Partnerships For ImprovementInitial Field Testing of an Instrument to Measure: Observable Indicators of Nursing Home Care QualityRantz, Marilyn J. PhD, RN, NHA, FAAN; Mehr, David R. MD, MS; Petroski, Gregory F. MS; Madsen, Richard W. PhD; Popejoy, Lori L. MSN, RN, CS, GCNS; Hicks, Lanis L. PhD; Conn, Vicki S. PhD, RN; Grando, Victoria T. PhD, RN, CS; Wipke-Tevis, Deidre D. PhD, RNC, CVN; Bostick, Jane MSN, RN; Porter, Rose PhD, RN; Zwygart-Stauffacher, Marym PhD, RN, CS, GNP, GCNS; Maas, Meridean PhD, RN, FAANAuthor Information Associate Professor, Sinclair School of Nursing; University Hospital Professor of Nursing; University of Missouri-Columbia; Columbia, Missouri (Rantz) Associate Professor, Family and Community Medicine † (Mehr) Statistician for the Medical Informatics Group † (Petroski) Professor of Statistics, School of Mathematics, Medical Informatics Group † (Madsen) Long Term Care Research Nurse * (Popejoy) Associate Professor, Health Services Management † (Hicks) Associate Professor * (Conn) Assistant Professor * (Grando) Assistant Professor * (Wipke-Tevis) Clinical Instructor and Doctoral Student * (Bostick) Associate Professor and Associate Dean * (Porter) Associate Professor, School of Nursing; University of Minnesota-Minneapolis; Minneapolis, Minnesota (Zwygart-Stauffacher) Professor, College of Nursing; University of Iowa; Iowa City, Iowa (Mass) The members of the MU MDS and Nursing Home Quality Research Team gratefully acknowledge the support of the Missouri Division of Aging staff; they truly are committed to helping homes embrace quality improvement. Research activities were supported partially by a contract from the Missouri Division of Aging to the Sinclair School of Nursing and Biostatistics Group of the School of Medicine, University of Missouri-Columbia, Contract No. C-5-31167. Dr. Mehr also is supported as a Robert Wood Johnson Foundation Generalist Physician Faculty Scholar. Funds from the Missouri Division of Aging included partial support from the Health Care Financing Administration. Opinions are those of the authors and do not represent the Missouri Division of Aging or the Health Care Financing Administration. Journal of Nursing Care Quality: April 2000 - Volume 14 - Issue 3 - p 1-12 Buy Abstract The "Observable Indicators of Nursing Home Care Quality" instrument was developed as a new measure of nursing home care quality. The instrument is based on a theoretical model of quality nursing home care grounded in data from provider and consumer focus groups. The instrument was piloted in 10 Missouri nursing homes. Subsequent versions were tested in 109 Missouri and 11 Icelandic nursing homes. Content validity was established using experts. Concurrent and known groups validity was evaluated using Minimum Data Set quality indicators, survey citations, and a process of care measure. Interrater and test-retest reliabilities were calculated as well as coefficient alpha. The "Observable Indicators of Nursing Home Care Quality" instrument is a new measure that can be used by researchers, and potentially by regulators, consumers, or providers, to observe and score specific indicators of quality care following a 20- to 30-minute inspection of a nursing home. Copyright © 2000 by Aspen Publishers, Inc.