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Economic Evaluation of Implementing a Novel Pharmacogenomic Test (IDgenetix®) to Guide Treatment of Patients with Depression and/or Anxiety

Overview of attention for article published in PharmacoEconomics, November 2017
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

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1 policy source
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Citations

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72 Mendeley
Title
Economic Evaluation of Implementing a Novel Pharmacogenomic Test (IDgenetix®) to Guide Treatment of Patients with Depression and/or Anxiety
Published in
PharmacoEconomics, November 2017
DOI 10.1007/s40273-017-0587-0
Pubmed ID
Authors

Mehdi Najafzadeh, Jorge A. Garces, Alejandra Maciel

Abstract

The response to therapeutics varies widely in patients with depression and anxiety, making selection of an optimal treatment choice challenging. IDgenetix(®), a novel pharmacogenomic test, has been shown to improve outcomes by predicting the likelihood of response to different psychotherapeutic medications. The objective of this study was to estimate the cost effectiveness of implementing a novel pharmacogenomic test (IDgenetix(®)) to guide treatment choices in patients with depression and/or anxiety compared with treatment as usual from the US societal perspective. We developed a discrete event simulation to compare clinical events, quality-adjusted life-years, and costs of the two treatment strategies. Target patients had a Hamilton Rating Scale for Depression Score ≥ 20 and/or a Hamilton Rating Scale for Anxiety score ≥ 18 at baseline. Remission, response, and no response were simulated based on the observed rates in the IDgenetix(®) randomized controlled trial. Quality-adjusted life-years and direct and indirect costs attributable to depression and anxiety were estimated and compared over a 3-year time horizon. We conducted extensive deterministic and probabilistic sensitivity analyses to assess the robustness of the results. The model predicted cumulative remission rates of 78 and 66% in IDgenetix(®) and treatment as usual groups, respectively. Estimated discounted quality-adjusted life-years were 2.09 and 1.94 per patient for IDgenetix(®) and treatment as usual, respectively, which resulted in 0.15 incremental quality-adjusted life-years (95% credible interval 0.04-0.28). The total costs after accounting for a US$2000 test cost were US$14,124 for IDgenetix(®) compared with US$14,659 for treatment as usual, suggesting a US$535 (95% credible interval - 2902 to 1692) cost saving per patient in the IDgenetix(®) group. Incremental quality-adjusted life-year gain (0.49) and cost savings (US$6800) were substantially larger in patients with severe depression (Hamilton Rating Scale for Depression score ≥ 25). Using the IDgenetix(®) test to guide the treatment of patients with depression and anxiety may be a dominant strategy, as it improves quality-adjusted life-years and decreases overall costs over a 3-year time horizon.

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The data shown below were collected from the profiles of 2 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 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 72 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 15%
Researcher 10 14%
Student > Master 8 11%
Student > Postgraduate 4 6%
Student > Doctoral Student 4 6%
Other 15 21%
Unknown 20 28%
Readers by discipline Count As %
Psychology 13 18%
Medicine and Dentistry 9 13%
Nursing and Health Professions 6 8%
Economics, Econometrics and Finance 5 7%
Pharmacology, Toxicology and Pharmaceutical Science 4 6%
Other 11 15%
Unknown 24 33%
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 31 January 2020.
All research outputs
#6,271,250
of 22,925,760 outputs
Outputs from PharmacoEconomics
#725
of 1,852 outputs
Outputs of similar age
#104,361
of 330,163 outputs
Outputs of similar age from PharmacoEconomics
#17
of 42 outputs
Altmetric has tracked 22,925,760 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1,852 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one has gotten more attention than average, scoring higher than 60% 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 330,163 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 42 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 59% of its contemporaries.