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A Cyclical Approach to Continuum Modeling: A Conceptual Model of Diabetic Foot Care

Overview of attention for article published in Frontiers in Public Health, December 2017
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Title
A Cyclical Approach to Continuum Modeling: A Conceptual Model of Diabetic Foot Care
Published in
Frontiers in Public Health, December 2017
DOI 10.3389/fpubh.2017.00337
Pubmed ID
Authors

Martha L. Carvour, Allyssa Chiu

Abstract

"Cascade" or "continuum" models have been developed for a number of diseases and conditions. These models define the desired, successive steps in care for that disease or condition and depict the proportion of the population that has completed each step. These models may be used to compare care across subgroups or populations and to identify and evaluate interventions intended to improve outcomes on the population level. Previous cascade or continuum models have been limited by several factors. These models are best suited to processes with stepwise outcomes-such as screening, diagnosis, and treatment-with a single defined outcome (e.g., treatment or cure) for each member of the population. However, continuum modeling is not well developed for complex processes with non-sequential or recurring steps or those without singular outcomes. As shown here using the example of diabetic foot care, the concept of continuum modeling may be re-envisioned with a cyclical approach. Cyclical continuum modeling may permit incorporation of non-sequential and recurring steps into a single continuum, while recognizing the presence of multiple desirable outcomes within the population. Cyclical models may simultaneously represent the distribution of clinical severity and clinical resource use across a population, thereby extending the benefits of traditional continuum models to complex processes for which population-based monitoring is desired. The models may also support communication with other stakeholders in the process of care, including health care providers and patients.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 19%
Lecturer 2 13%
Student > Ph. D. Student 2 13%
Student > Bachelor 1 6%
Other 1 6%
Other 3 19%
Unknown 4 25%
Readers by discipline Count As %
Medicine and Dentistry 7 44%
Nursing and Health Professions 3 19%
Unknown 6 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 09 December 2017.
All research outputs
#17,922,331
of 23,011,300 outputs
Outputs from Frontiers in Public Health
#5,096
of 10,240 outputs
Outputs of similar age
#307,272
of 439,767 outputs
Outputs of similar age from Frontiers in Public Health
#60
of 88 outputs
Altmetric has tracked 23,011,300 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,240 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 10.0. This one is in the 42nd percentile – i.e., 42% of its peers scored the same or lower than it.
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We're also able to compare this research output to 88 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.