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Development of a cloud-based application for the Fracture Liaison Service model of care

Overview of attention for article published in Osteoporosis International, August 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

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2 X users
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1 Facebook page

Citations

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11 Dimensions

Readers on

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44 Mendeley
Title
Development of a cloud-based application for the Fracture Liaison Service model of care
Published in
Osteoporosis International, August 2015
DOI 10.1007/s00198-015-3260-5
Pubmed ID
Authors

C. G. Holzmueller, S. Karp, D. Zeldow, D. B. Lee, D. A. Thompson

Abstract

The aims of this study are to develop a cloud-based application of the Fracture Liaison Service for practitioners to coordinate the care of osteoporotic patients after suffering primary fractures and provide a performance feedback portal for practitioners to determine quality of care. The application provides continuity of care, improved patient outcomes, and reduced medical costs. The purpose of this study is to describe the content development and functionality of a cloud-based application to broadly deploy the Fracture Liaison Service (FLS) to coordinate post-fracture care for osteoporotic patients. The Bone Health Collaborative developed the FLS application in 2013 to support practitioners' access to information and management of patients and provide a feedback portal for practitioners to track their performance in providing quality care. A five-step protocol (identify, inform, initiate, investigate, and iterate) organized osteoporotic post-fracture care-related tasks and timelines for the application. A range of descriptive data about the patient, their medical condition, therapies and care, and current providers can be collected. Seven quality of care measures from the National Quality Forum, The Joint Commission, and the Centers for Medicare and Medicaid Services can be tracked through the application. There are five functional areas including home, tasks, measures, improvement, and data. The home, tasks, and data pages are used to enter patient information and coordinate care using the five-step protocol. Measures and improvement pages are used to enter quality measures and provide practitioners with continuous performance feedback. The application resides within a portal, running on a multitenant, private cloud-based Avedis enterprise registry platform. All data are encrypted in transit and users access the application using a password from any common web browser. The application could spread the FLS model of care across the US health care system, provide continuity of care, effectively manage osteoporotic patients, improve outcomes, and reduce medical costs.

X Demographics

X Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 25%
Student > Master 7 16%
Student > Ph. D. Student 6 14%
Student > Doctoral Student 4 9%
Student > Postgraduate 3 7%
Other 6 14%
Unknown 7 16%
Readers by discipline Count As %
Medicine and Dentistry 15 34%
Nursing and Health Professions 6 14%
Social Sciences 3 7%
Pharmacology, Toxicology and Pharmaceutical Science 2 5%
Psychology 2 5%
Other 6 14%
Unknown 10 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 11 February 2016.
All research outputs
#13,214,454
of 22,829,083 outputs
Outputs from Osteoporosis International
#1,904
of 3,610 outputs
Outputs of similar age
#121,993
of 266,173 outputs
Outputs of similar age from Osteoporosis International
#24
of 77 outputs
Altmetric has tracked 22,829,083 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,610 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one is in the 46th percentile – i.e., 46% of its peers scored the same or lower than it.
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 266,173 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
We're also able to compare this research output to 77 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.