Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Controlled Clinical Trial
. 2008 May;29(3):343-50.
doi: 10.1016/j.cct.2007.10.004. Epub 2007 Oct 26.

Hierarchical models to evaluate translational research: Connecticut collaboration for fall prevention

Affiliations
Controlled Clinical Trial

Hierarchical models to evaluate translational research: Connecticut collaboration for fall prevention

T E Murphy et al. Contemp Clin Trials. 2008 May.

Abstract

Background and objective: Evidence-based second stage translational studies are necessary and difficult to evaluate. A quasi-experimental design is used to compare the rate of fall-related health care utilization of two geographically disparate areas in Connecticut, a small state in the northeastern United States, to evaluate an intervention designed to reduce fall-related injuries among older persons. This evaluation examines the two years immediately prior to intervention.

Methods: The experimental units are postal (i.e., zip) code tabulation areas (ZCTAs) in which counts of fall-related health care utilization and demographic characteristics can be gathered from local and federal public health sources. We employ hierarchical modeling to determine whether there was a difference in fall-related health care utilization between the study arms prior to initiating the intervention. Geographic information systems are used to characterize neighboring ZCTAs and to graph model-adjusted rates of fall-related utilization.

Results: After adjustment for covariates and spatial variation, we observed no significant difference between rates or temporal trends of fall-related health care utilization in the study arms over the two year pre-intervention period.

Conclusion: The study arms of the Connecticut Collaboration for Falls Prevention have equivalent rates and temporal trends of fall-related utilization over the two year pre-intervention period.

PubMed Disclaimer

Figures

Figure 1
Figure 1
Annualized Number of Fall-Related Healthcare Utilizations per 1000 Persons Aged 70 and Older CT Zip Code Tabulation Areas During Pre-Intervention Period (October 1999 – September 2001)

References

    1. Tinetti ME, Baker DI, McAvay G, et al. A multifactorial intervention to reduce the risk of falling among elderly people living in the community. N Engl J Med. 1994;331:821–827. - PubMed
    1. Tinetti ME, Baker DI, Garrett PA, Gottschalk M, Koch ML, Horwitz RI. Yale FICSIT: Risk Factor abatement strategy for fall prevention. J Am Geriatr Soc. 1993;41:315–320. - PubMed
    1. Baker D, King MB, Fortinsky RH, et al. Dissemination of an evidence-based multicomponent fall risk-assessment and management strategy throughout a geographic area. J Am Geriatr Soc. 2005;53:675–680. - PubMed
    1. Greenland S. A review of multi-level theory for ecological analyses. Statistics in Medicine. 2002;21:389–395. - PubMed
    1. Cook T, Campbell DT. Quasi-Experimentation: Design and Analysis Issues. Boston: Houghton Mifflin; 1979.

Publication types

MeSH terms