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Cited by 291

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Health outcomes associated with potentially inappropriate medication use in older adults

Open access
Fick, Donna M., Mion, Lorraine C., Beers, Mark H., L. Waller, Jennifer·2008·Research in Nursing & Health

Abstract

The purpose of this study was to examine the prevalence of potentially inappropriate medication use (PIMs) among community‐dwelling older adults and the association between PIMs and health care outcomes. Participants were 17,971 individuals age 65 years and older. PIM use was defined by the Beers criteria. Drug‐related problems (DRPs) were defined using ICD‐9 codes. Forty percent of the 17,971 individuals filled at least 1 PIM prescription, and 13% filled 2 or more PIM prescriptions. Overall DRP prevalence among those with at least 1 PIM prescription was 14.3% compared to 4.7% in the non‐PIM group (p < .001). In conclusion, preventing PIM use may be important for decreasing medication‐related problems, which are increasingly being recognized as requiring an integrated interdisciplinary approach. © 2007 Wiley Periodicals, Inc. Res Nurs Health 31:42–51, 2008

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Metadata

Authors
Fick, D. M., Mion, L. C., Beers, M. H., & L. Waller, J.
Venue
Research in Nursing & Health
Publisher
Wiley
Published
2007-12-28
Volume
31
Issue
1
Pages
42-51
ISSN
  • 0160-6891 (ISSN-L)
  • 1098-240X
OpenAlex
W2106472069
Cited by
291
References
4
FWCI
3.84
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Health outcomes associated with potentially inappropriate medication use in older adults. https://app.cochat.ai/papers/10.1002/nur.20232
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Fick, D. M., Mion, L. C., Beers, M. H., & L. Waller, J. (2008). Health outcomes associated with potentially inappropriate medication use in older adults. Research in Nursing & Health. https://doi.org/10.1002/nur.20232

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.