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Cited by 242

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Characteristics of Nursing Homes that Affect Resident Outcomes

Spector, William D., Takada, Hitomi Adrianna·1991·Journal of Aging and Health

Abstract

Although there has been increased interest in using outcomes as measures of quality, few studies have shown a link between structure or process and outcomes. In this analysis, based on approximately 2,500 residents in 80 nursing homes in Rhode Island, multivariate models estimate which aspects of care are associated with resident outcomes after controlling for resident characteristics. Outcomes, measured over a 6-month period included death, functional decline, and functional improvement. Results suggest that higher staff levels and lower RN turnover were related to functional improvement. Facilities with high catheter use, low rates of skin care, and low participation in organized activities were associated with negative outcomes. Facilities with few private-pay residents were also associated with negative outcomes. Receipt of a serious federal citation was associated with improved outcomes. For-profit facilities appeared to be more efficient in use of resources.

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Metadata

Authors
Spector, W. D., & Takada, H. A.
Venue
Journal of Aging and Health
Published
1991-11
Volume
3
Issue
4
Pages
427-454
ISSN
  • 0898-2643 (ISSN-L)
  • 1552-6887
OpenAlex
W2131189970
Cited by
242
References
1
FWCI
10.98
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Characteristics of Nursing Homes that Affect Resident Outcomes. https://app.cochat.ai/papers/10.1177/089826439100300401
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Spector, W. D., & Takada, H. A. (1991). Characteristics of Nursing Homes that Affect Resident Outcomes. Journal of Aging and Health. https://doi.org/10.1177/089826439100300401

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.