Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Journal of the Ameri...arrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Journal of the American Geriatrics Society
Article . 2011 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
versions View all 2 versions
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

Trends in Use of High‐Risk Medications for Older Veterans: 2004 to 2006

Authors: Mary Jo V, Pugh; Joseph T, Hanlon; Chen-Pin, Wang; Todd, Semla; Muriel, Burk; Megan E, Amuan; Ashlei, Lowery; +2 Authors

Trends in Use of High‐Risk Medications for Older Veterans: 2004 to 2006

Abstract

OBJECTIVES: To examine the change in use of high‐risk medications for the elderly (HRME), as defined by the National Committee on Quality Assurance's Healthcare Effectiveness Data and Information Set (HEDIS) quality measure (HEDIS HRME), by older outpatient veterans over a 3‐year period and to identify risk factors for HEDIS HRME exposure overall and for the most commonly used drug classes. DESIGN: Longitudinal retrospective database analysis. SETTING: Outpatient clinics within the Department of Veterans Affairs (VA). PARTICIPANTS: Veterans aged 65 by October 1, 2003, and who received VA care at least once each year until September 30, 2006. MEASUREMENTS: Rates of use of HEDIS HRME overall and according to specific drug classes each year from fiscal year 2004 (FY04) to FY06. RESULTS: In a cohort of 1,567,467, high‐risk medication exposure fell from 13.1% to 12.3% between FY04 and FY06 ( P <.001). High‐risk antihistamines (e.g., diphenhydramine), opioid analgesics (e.g., propoxyphene), skeletal muscle relaxants (e.g., cyclobenzaprine), psychotropics (e.g., long half‐life benzodiazepines), endocrine (e.g., estrogen), and cardiac medications (e.g., short‐acting nifedipine) had modest but statistically significant ( P <.001) reductions (range −3.8% to −16.0%); nitrofurantoin demonstrated a statistically significant increase (+36.5%; P <.001). Overall HEDIS HRME exposure was more likely for men, Hispanics, those receiving more medications, those with psychiatric comorbidity, and those without prior geriatric care. Exposure was lower for individuals exempt from copayment. Similar associations were seen between ethnicity, polypharmacy, psychiatric comorbidity, access‐to‐care factors, and use of individual HEDIS HRME classes. CONCLUSION: HEDIS HRME drug exposure decreased slightly in an integrated healthcare system. Risk factors for exposure were not consistent across drug groups. Future studies should examine whether interventions to further reduce HEDIS HRME use improve health outcomes.

Keywords

Aged, 80 and over, Male, Drug-Related Side Effects and Adverse Reactions, Quality Assurance, Health Care, Health Status, Inappropriate Prescribing, Texas, Health Services Accessibility, Cohort Studies, Disability Evaluation, Drug Utilization Review, Ambulatory Care, Humans, Female, Health Services Research, Longitudinal Studies, Aged, Quality Indicators, Health Care, Retrospective Studies, Veterans

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    29
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
29
Top 10%
Top 10%
Top 10%
bronze