| Title |
Glycemic control and diabetes-related health care costs in type 2 diabetes; retrospective analysis based on clinical and administrative databases
|
|---|---|
| Published in |
ClinicoEconomics and Outcomes Research: CEOR, May 2013
|
| DOI | 10.2147/ceor.s41846 |
| Pubmed ID | |
| Authors |
Luca Degli Esposti, Stefania Saragoni, Stefano Buda, Alessandra Sturani, Ezio Degli Esposti |
| Abstract |
Diabetes is one of the most prevalent chronic diseases, and its prevalence is predicted to increase in the next two decades. Diabetes imposes a staggering financial burden on the health care system, so information about the costs and experiences of collecting and reporting quality measures of data is vital for practices deciding whether to adopt quality improvements or monitor existing initiatives. The aim of this study was to quantify the association between health care costs and level of glycemic control in patients with type 2 diabetes using clinical and administrative databases. |
Mendeley readers
The data shown below were compiled from readership statistics for 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | <1% |
| Belgium | 1 | <1% |
| Canada | 1 | <1% |
| Unknown | 98 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 13% |
| Student > Ph. D. Student | 11 | 11% |
| Student > Master | 10 | 10% |
| Other | 10 | 10% |
| Student > Postgraduate | 7 | 7% |
| Other | 21 | 21% |
| Unknown | 29 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 33 | 33% |
| Pharmacology, Toxicology and Pharmaceutical Science | 13 | 13% |
| Nursing and Health Professions | 5 | 5% |
| Economics, Econometrics and Finance | 5 | 5% |
| Social Sciences | 3 | 3% |
| Other | 12 | 12% |
| Unknown | 30 | 30% |
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 21 May 2013.
All research outputs
#17,348,916
of 25,457,297 outputs
Outputs from ClinicoEconomics and Outcomes Research: CEOR
#331
of 525 outputs
Outputs of similar age
#129,918
of 204,532 outputs
Outputs of similar age from ClinicoEconomics and Outcomes Research: CEOR
#10
of 14 outputs
Altmetric has tracked 25,457,297 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 525 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.0. This one is in the 24th percentile – i.e., 24% 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 204,532 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.