Literature DB >> 19716067

Medical staff organization in nursing homes: scale development and validation.

Paul R Katz1, Jurgis Karuza, Orna Intrator, Jacqueline Zinn, Vincent Mor, Thomas Caprio, Anthony Caprio, Jason Dauenhauer, Julie Lima.   

Abstract

PURPOSE: To construct a multidimensional self-report scale to measure nursing home (NH) medical staff organization (NHMSO) dimensions and then pilot the scale using a national survey of medical directors to provide data on its psychometric properties. DESIGN AND METHODS: Instrument development process consisting of the proceedings from the Nursing Home Physician Workforce Conference and focus groups followed by cognitive interviews, which culminated in a survey of a random sample of American Medical Directors Association (AMDA) affiliated medical directors. Analyses were conducted on surveys matched to Online Survey Certification and Reporting (OSCAR) data from freestanding nonpediatric nursing homes. A total of 202 surveys were available for analysis and comprised the final sample.
RESULTS: Dimensions were identified that measured the extent of medical staff organization in nursing homes and included staff composition, appointment process, commitment (physiciancohesion; leadership turnover/capability), departmentalization (physician supervision, autonomy and interdisciplinary involvement), documentation, and informal dynamics. The items developed to measure each dimension were reliable (Cronbach's alpha ranged from 0.81 to 0.65).Intercorrelations among the scale dimensions provided preliminary evidence of the construct validity of the scale. IMPLICATIONS: This report, for the first time ever, defines and validates NH medical staff organization dimensions, a critical first step in determining the relationship between physician practice and the quality of care delivered in the NH.

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Year:  2009        PMID: 19716067      PMCID: PMC2736135          DOI: 10.1016/j.jamda.2009.04.002

Source DB:  PubMed          Journal:  J Am Med Dir Assoc        ISSN: 1525-8610            Impact factor:   4.669


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