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Development and validation of a new population-based simulation model of osteoarthritis in New Zealand

Overview of attention for article published in Osteoarthritis and Cartilage, January 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

news
7 news outlets
blogs
1 blog
twitter
3 X users

Readers on

mendeley
58 Mendeley
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Article details
Title
Development and validation of a new population-based simulation model of osteoarthritis in New Zealand
Published in
Osteoarthritis and Cartilage, January 2018
DOI 10.1016/j.joca.2018.01.004
Pubmed ID
Authors
Abstract

To describe the construction and preliminary validation of a new population-based microsimulation model developed to analyse the health and economic burden and cost-effectiveness of treatments for knee osteoarthritis (OA) in New Zealand (NZ). We developed the New Zealand Management of Osteoarthritis (NZ-MOA) model, a discrete-time state-transition microsimulation model of the natural history of radiographic knee OA. In this article, we report on the model structure, derivation of input data, validation of baseline model parameters against external data sources, and validation of model outputs by comparison of the predicted population health loss with previous estimates. The NZ-MOA model simulates both the structural progression of radiographic knee OA and the stochastic development of multiple disease symptoms. Input parameters were sourced from NZ population-based data where possible, and from international sources where NZ-specific data were not available. The predicted distributions of structural OA severity and health utility detriments associated with OA were externally validated against other sources of evidence, and uncertainty resulting from key input parameters was quantified. The resulting lifetime and current population health-loss burden was consistent with estimates of previous studies. The new NZ-MOA model provides reliable estimates of the health loss associated with knee OA in the NZ population. The model structure is suitable for analysis of the effects of a range of potential treatments, and will be used in future work to evaluate the cost-effectiveness of recommended interventions within the NZ healthcare system.

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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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 58 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 7 12%
Researcher 6 10%
Student > Postgraduate 6 10%
Lecturer 2 3%
Student > Doctoral Student 2 3%
Other 6 10%
Unknown 29 50%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 10 17%
Neuroscience 4 7%
Business, Management and Accounting 3 5%
Nursing and Health Professions 2 3%
Social Sciences 2 3%
Other 6 10%
Unknown 31 53%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 58. 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 02 April 2021.
All research outputs
#935,809
of 34,602,467 outputs
Outputs from Osteoarthritis and Cartilage
#100
of 3,998 outputs
Outputs of similar age
#16,473
of 499,053 outputs
Outputs of similar age from Osteoarthritis and Cartilage
#3
of 38 outputs
Altmetric has tracked 34,602,467 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,998 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.8. This one has done particularly well, scoring higher than 97% 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 499,053 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.