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Dove Medical Press

Behavioral economics survey of patients with type 1 and type 2 diabetes

Overview of attention for article published in Patient preference and adherence, May 2015
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

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5 X users
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2 Facebook pages

Citations

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9 Dimensions

Readers on

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63 Mendeley
Title
Behavioral economics survey of patients with type 1 and type 2 diabetes
Published in
Patient preference and adherence, May 2015
DOI 10.2147/ppa.s82022
Pubmed ID
Authors

Naoya Emoto, Fumitaka Okajima, Hitoshi Sugihara, Rei Goto

Abstract

Adherence to treatment and the metabolic control of diabetes are challenging in many patients with diabetes. The theory of neuroeconomics can provide important clues for understanding unreasonable human behavior concerning decisions between outcomes occurring at different time points. We investigated patients with type 1 and type 2 diabetes to determine whether patients who are at a risk of developing complications are less risk averse. We also examined whether patients with type 1 and type 2 diabetes have different behavioral traits in decision making under risk. We conducted a behavioral economics survey of 219 outpatients, 66 with type 1 diabetes and 153 with type 2 diabetes. All patients had been referred by general practitioners or other departments in the hospital. At the time of the survey, levels of hemoglobin A1c were not significantly different between patients with type 1 and type 2 diabetes. Patients with type 2 diabetes showed a lower response rate to the survey compared with patients with type 1 diabetes (71.9% vs 87.9%, P<0.01). Logistic regression analysis indicated that diabetic retinopathy was negatively associated with risk averse in pricing of hypothetical lotteries, myopic time preference, willingness to pay for preventive medicine, and levels of satisfaction with life. Diabetic nephropathy was also negatively associated with risk averse in pricing of hypothetical lotteries. Detailed analysis revealed that a lower proportion of patients with type 2 diabetes (22.7%) were categorized as risk averse compared with patients with type 1 diabetes (43.1%, P<0.05) in hypothetical lottery risk estimation. This is the first report that investigated patients with diabetes in a clinical setting using a method based on behavioral economics. The results suggest that the attitude of patients toward risk plays an important role in the progress of the complications of diabetes. Different educational and psychological approaches may be necessary to assess patients with diabetes based on whether they have traits such as risk seeking or risk averse.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 63 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 21%
Student > Ph. D. Student 11 17%
Student > Master 6 10%
Student > Bachelor 5 8%
Professor 3 5%
Other 9 14%
Unknown 16 25%
Readers by discipline Count As %
Medicine and Dentistry 7 11%
Psychology 6 10%
Economics, Econometrics and Finance 6 10%
Nursing and Health Professions 4 6%
Pharmacology, Toxicology and Pharmaceutical Science 4 6%
Other 15 24%
Unknown 21 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 August 2019.
All research outputs
#8,270,860
of 25,394,764 outputs
Outputs from Patient preference and adherence
#612
of 1,759 outputs
Outputs of similar age
#93,071
of 279,009 outputs
Outputs of similar age from Patient preference and adherence
#8
of 28 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 1,759 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.5. This one has gotten more attention than average, scoring higher than 64% 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 279,009 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 65% of its contemporaries.
We're also able to compare this research output to 28 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 71% of its contemporaries.