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Mendeley readers
Attention Score in Context
| Title |
Modelling the Economics of Type 2 Diabetes Mellitus Prevention: A Literature Review of Methods
|
|---|---|
| Published in |
Applied Health Economics and Health Policy, March 2014
|
| DOI | 10.1007/s40258-014-0091-z |
| Pubmed ID | |
| Authors |
P. Watson, L. Preston, H. Squires, J. Chilcott, A. Brennan |
| Abstract |
Our objective was to review modelling methods for type 2 diabetes mellitus prevention cost-effectiveness studies. The review was conducted to inform the design of a policy analysis model capable of assisting resource allocation decisions across a spectrum of prevention strategies. We identified recent systematic reviews of economic evaluations in diabetes prevention and management of obesity. We extracted studies from two existing systematic reviews of economic evaluations for the prevention of diabetes. We extracted studies evaluating interventions in a non-diabetic population with type 2 diabetes as a modelled outcome, from two systematic reviews of obesity intervention economic evaluations. Databases were searched for studies published between 2008 and 2013. For each study, we reviewed details of the model type, structure, and methods for predicting diabetes and cardiovascular disease. Our review identified 46 articles and found variation in modelling approaches for cost-effectiveness evaluations for the prevention of type 2 diabetes. Investigation of the variables used to estimate the risk of type 2 diabetes suggested that impaired glucose regulation, and body mass index were used as the primary risk factors for type 2 diabetes. A minority of cost-effectiveness models for diabetes prevention accounted for the multivariate impacts of interventions on risk factors for type 2 diabetes. Twenty-eight cost-effectiveness models included cardiovascular events in addition to type 2 diabetes. Few cost-effectiveness models have flexibility to evaluate different intervention types. We conclude that to compare a range of prevention interventions it is necessary to incorporate multiple risk factors for diabetes, diabetes-related complications and obesity-related co-morbidity outcomes. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 50% |
| Canada | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 1% |
| Ecuador | 1 | 1% |
| Belgium | 1 | 1% |
| Unknown | 78 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 17 | 21% |
| Researcher | 16 | 20% |
| Student > Ph. D. Student | 12 | 15% |
| Student > Bachelor | 10 | 12% |
| Other | 4 | 5% |
| Other | 13 | 16% |
| Unknown | 9 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 26 | 32% |
| Nursing and Health Professions | 10 | 12% |
| Economics, Econometrics and Finance | 5 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 5 | 6% |
| Agricultural and Biological Sciences | 4 | 5% |
| Other | 17 | 21% |
| Unknown | 14 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 13 September 2017.
All research outputs
#5,705,221
of 22,747,498 outputs
Outputs from Applied Health Economics and Health Policy
#236
of 771 outputs
Outputs of similar age
#53,534
of 221,294 outputs
Outputs of similar age from Applied Health Economics and Health Policy
#7
of 20 outputs
Altmetric has tracked 22,747,498 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 771 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.9. 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 221,294 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 75% of its contemporaries.
We're also able to compare this research output to 20 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 65% of its contemporaries.