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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Measuring the health-related quality of life of children with impaired mobility: examining correlation and agreement between children and parent proxies
|
|---|---|
| Published in |
BMC Research Notes, August 2017
|
| DOI | 10.1186/s13104-017-2683-9 |
| Pubmed ID | |
| Authors |
Nathan Bray, Jane Noyes, Nigel Harris, Rhiannon Tudor Edwards |
| Abstract |
The objective of this research project was to evaluate the validity of proxy health-related quality of life measures in the context of paediatric mobility impairment. Accurate health-related quality of life data is essential for quality-adjusted life year calculation; a key outcome in economic evaluation. Thirteen child-parent dyads (13 children with mobility impairments, 13 parent proxies) were asked to complete a range of outcome measures (EQ-5D-Y, VAS and HUI2/3) relating to the child's health. The relationship between respondent outcomes was examined using tests of respondent type effect (Wilcoxon signed-rank), correlation (Spearman's rank-order) and agreement (Bland-Altman plots). Parent proxies significantly undervalued the health-related quality of life of their mobility-impaired children: children rated their health-related quality of life higher than their parents by proxy on all measures. The VAS had the highest overall mean score for children and proxies (79.50 [SD = 15.01] and 75.77 [SD = 14.70] respectively). Child and proxy results were significantly different (p < 0.05) for all measures besides the VAS (p = 0.138). Strong correlation and acceptable agreement were observed for equivalent child/proxy VAS and HUI measures. The EQ-5D-Y exhibited the least agreement between children and proxies. Sufficient association between child/proxy VAS and HUI measures indicated a degree of interchangeability. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 50% |
| Australia | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
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 > Master | 15 | 21% |
| Researcher | 8 | 11% |
| Student > Bachelor | 6 | 8% |
| Student > Ph. D. Student | 6 | 8% |
| Other | 3 | 4% |
| Other | 7 | 10% |
| Unknown | 27 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 9 | 13% |
| Medicine and Dentistry | 9 | 13% |
| Social Sciences | 6 | 8% |
| Engineering | 5 | 7% |
| Economics, Econometrics and Finance | 3 | 4% |
| Other | 11 | 15% |
| Unknown | 29 | 40% |
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 11 August 2017.
All research outputs
#6,374,566
of 23,577,654 outputs
Outputs from BMC Research Notes
#953
of 4,303 outputs
Outputs of similar age
#99,372
of 319,029 outputs
Outputs of similar age from BMC Research Notes
#30
of 154 outputs
Altmetric has tracked 23,577,654 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 4,303 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has done well, scoring higher than 77% 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 319,029 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 154 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.