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Can the Child Health Utility 9D measure be useful in oral health research?

Overview of attention for article published in International Journal of Paediatric Dentistry, July 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 (76th percentile)

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65 Mendeley
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Article details
Title
Can the Child Health Utility 9D measure be useful in oral health research?
Published in
International Journal of Paediatric Dentistry, July 2015
DOI 10.1111/ipd.12177
Pubmed ID
Authors
Abstract

Cost-utility analysis using the quality-adjusted life years (QALY) as an outcome measure to inform healthcare resource allocation is becoming more common. The Child Health Utility 9D (CHU9D) enables the calculation of utility values in children. Children were involved throughout its development to ensure it is child centred. To determine whether the CHU9D is responsive to the changing components of the dmfs+DMFS index score in children receiving dental care over a 1-year period. The study sample comprised children aged 6 to 9 years old who were enrolled in a split-mouth, placebo-controlled randomised controlled trial. All children had a comprehensive clinical examination including radiographs and health-related quality of life (HRQoL) was measured using the CHU9D at baseline and 1 year. Descriptive statistics was followed by bivariate analyses before effect sizes were calculated. A negative binomial model was fitted to assess whether the utility score predicted the components of decayed and filled teeth (combined primary and permanent teeth). Eighty (92%) children completed the CHU9D at baseline and follow-up. They presented with a mean baseline d3mfs+D3MFS of 6.7 (SD = 7.1), which rose to 7.3 (SD = 7.0) at follow-up. The mean CHU9D score improved from 0.88 to 0.90 from baseline to follow-up. No statistically significant relationships were found between caries status and the CHU9D score. The CHU9D was found to be unresponsive to the changing components of dental caries experience.

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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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 65 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 %
Italy 1 2%
Unknown 64 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 7 11%
Student > Bachelor 6 9%
Student > Ph. D. Student 6 9%
Professor 3 5%
Researcher 3 5%
Other 11 17%
Unknown 29 45%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 20 31%
Nursing and Health Professions 7 11%
Chemical Engineering 2 3%
Agricultural and Biological Sciences 1 2%
Economics, Econometrics and Finance 1 2%
Other 4 6%
Unknown 30 46%
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 26 December 2015.
All research outputs
#8,037,145
of 24,417,958 outputs
Outputs from International Journal of Paediatric Dentistry
#170
of 647 outputs
Outputs of similar age
#90,509
of 267,227 outputs
Outputs of similar age from International Journal of Paediatric Dentistry
#3
of 13 outputs
Altmetric has tracked 24,417,958 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 647 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 73% 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 267,227 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 13 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.