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Implementing exercise programs to prevent falls: systematic descriptive review

Overview of attention for article published in Injury Epidemiology, July 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#46 of 153)
  • High Attention Score compared to outputs of the same age (84th percentile)

Mentioned by

news
1 news outlet
twitter
2 tweeters

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
97 Mendeley
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Title
Implementing exercise programs to prevent falls: systematic descriptive review
Published in
Injury Epidemiology, July 2016
DOI 10.1186/s40621-016-0081-8
Pubmed ID
Authors

Victoria Shier, Eric Trieu, David A. Ganz

Abstract

The United States Preventive Services Task Force recommends exercise to prevent falls in community-dwelling adults aged ≥ 65 years at increased fall risk. However, little is known about how best to implement exercise programs in routine care when a patient's need for exercise is identified within the healthcare system. Using a qualitative approach, we reviewed the literature to determine how exercise programs to prevent falls are implemented from the vantage point of a health care setting. We synthesized descriptive information about each program with data on program features and implementation difficulties and facilitators. We found that programs sponsored by primary care providers (PCPs) or specialists may help with recruitment into exercise programs. PCPs have the opportunity to identify people at risk and promote participation since most older adults regularly visit, and inquire about exercise from, their physicians. In terms of referral options, both home-based and group-based exercise programs have been shown effective in preventing falls; however, each approach carries strengths and limitations. Home-based programs can include participants who are reluctant or unable to attend group classes and can be individually tailored, but provide less opportunity for supervision and socialization than classes. Adherence to programs can be encouraged, and attrition minimized, through positive reinforcement. Successful programs ranged in expense for exercise sessions: a weekly class combined with exercises at home cost < $2 per participant per week, while frequent individual sessions cost > $100 per participant per week. With increasing attention to population-based health management in the United States, clinicians and health system leaders need a deeper understanding of how to link patients in their healthcare systems with appropriate community programs. This review identifies key characteristics of successful fall prevention exercise programs that can be used to determine which local options conform to clinical evidence. In addition, we highlight tradeoffs between program options, such as home versus group exercise programs, to allow referrals to be tailored to local conditions and patient preferences. Finally, our work highlights the key role of the PCP in recruiting patients to participate in exercise programs, and identifies options, such as registries, to support referrals to the community.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 2%
Unknown 95 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 22 23%
Student > Bachelor 16 16%
Unspecified 13 13%
Student > Ph. D. Student 12 12%
Student > Doctoral Student 9 9%
Other 25 26%
Readers by discipline Count As %
Nursing and Health Professions 27 28%
Medicine and Dentistry 25 26%
Unspecified 23 24%
Sports and Recreations 6 6%
Engineering 4 4%
Other 12 12%

Attention Score in Context

This research output has an Altmetric Attention Score of 12. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 October 2018.
All research outputs
#1,370,359
of 13,710,419 outputs
Outputs from Injury Epidemiology
#46
of 153 outputs
Outputs of similar age
#41,619
of 266,359 outputs
Outputs of similar age from Injury Epidemiology
#1
of 1 outputs
Altmetric has tracked 13,710,419 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 153 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.3. This one has gotten more attention than average, scoring higher than 69% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 266,359 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them