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Systems Science for Caribbean Health: the development and piloting of a model for guiding policy on diabetes in the Caribbean

Overview of attention for article published in Health Research Policy and Systems, October 2016
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  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

policy
1 policy source
twitter
3 X users

Readers on

mendeley
78 Mendeley
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Title
Systems Science for Caribbean Health: the development and piloting of a model for guiding policy on diabetes in the Caribbean
Published in
Health Research Policy and Systems, October 2016
DOI 10.1186/s12961-016-0150-z
Pubmed ID
Authors

L. Guariguata, C. Guell, T. A. Samuels, E. A. J. A. Rouwette, J. Woodcock, I. R. Hambleton, N. Unwin

Abstract

Diabetes is highly prevalent in the Caribbean, associated with a high morbidity and mortality and is a recognised threat to economic and social development. Heads of Government in the Caribbean Community came together in 2007 and declared their commitment to reducing the burden of non-communicable diseases (NCDs), including diabetes, by calling for a multi-sectoral, systemic response. To facilitate the development of effective policies, policymakers are being engaged in the development and use of a system dynamics (SD) model of diabetes for Caribbean countries. Previous work on a diabetes SD model from the United States of America (USA) is being adapted to a local context for three countries in the region using input from stakeholders, a review of existing qualitative and quantitative data, and collection of new qualitative data. Three country models will be developed using one-on-one stakeholder engagement and iterative revision. An inter-country model will also be developed following a model-building workshop. Models will be compared to each other and to the USA model. The inter-country model will be used to simulate policies identified as priorities by stakeholders and to develop targets for prevention and control. The model and model-building process will be evaluated by stakeholders and a manual developed for use in other high-burden developing regions. SD has been applied with success for health policy development in high-income country settings. The utility of SD in developing countries as an aid to policy decision-making related to NCDs has not been tested. This study represents the first of its kind.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 78 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 18%
Student > Ph. D. Student 12 15%
Student > Master 11 14%
Other 5 6%
Student > Doctoral Student 4 5%
Other 8 10%
Unknown 24 31%
Readers by discipline Count As %
Nursing and Health Professions 11 14%
Medicine and Dentistry 10 13%
Social Sciences 5 6%
Biochemistry, Genetics and Molecular Biology 4 5%
Economics, Econometrics and Finance 3 4%
Other 16 21%
Unknown 29 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 10 October 2021.
All research outputs
#6,631,409
of 23,845,863 outputs
Outputs from Health Research Policy and Systems
#775
of 1,249 outputs
Outputs of similar age
#98,064
of 316,617 outputs
Outputs of similar age from Health Research Policy and Systems
#6
of 18 outputs
Altmetric has tracked 23,845,863 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 1,249 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.1. This one is in the 37th percentile – i.e., 37% 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 316,617 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 68% of its contemporaries.
We're also able to compare this research output to 18 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 72% of its contemporaries.