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The Aarhus statement on cancer diagnostic research: turning recommendations into new survey instruments

Overview of attention for article published in BMC Health Services Research, September 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

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16 X users

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29 Dimensions

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Title
The Aarhus statement on cancer diagnostic research: turning recommendations into new survey instruments
Published in
BMC Health Services Research, September 2018
DOI 10.1186/s12913-018-3476-0
Pubmed ID
Authors

Domenica Coxon, Christine Campbell, Fiona M. Walter, Suzanne E. Scott, Richard D. Neal, Peter Vedsted, Jon Emery, Greg Rubin, William Hamilton, David Weller

Abstract

Over recent years there has been a growth in cancer early diagnosis (ED) research, which requires valid measurement of routes to diagnosis and diagnostic intervals. The Aarhus Statement, published in 2012, provided methodological guidance to generate valid data on these key pre-diagnostic measures. However, there is still a wide variety of measuring instruments of varying quality in published research. In this paper we test comprehension of self-completion ED questionnaire items, based on Aarhus Statement guidance, and seek input from patients, GPs and ED researchers to refine these questions. We used personal interviews and consensus approaches to generate draft ED questionnaire items, then a combination of focus groups and telephone interviews to test comprehension and obtain feedback. A framework analysis approach was used, to identify themes and potential refinements to the items. We found that many of the questionnaire items still prompted uncertainty in respondents, in both routes to diagnosis and diagnostic interval measurement. Uncertainty was greatest in the context of multiple or vague symptoms, and potentially ambiguous time-points (such as 'date of referral'). There are limits on the validity of self-completion questionnaire responses, and refinements to the wording of questions may not be able to completely overcome these limitations. It's important that ED researchers use the best identifiable measuring instruments, but accommodate inevitable uncertainty in the interpretation of their results. Every effort should be made to increase clarity of questions and responses, and use of two or more data sources should be considered.

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The data shown below were collected from the profiles of 16 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 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 85 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 14%
Student > Ph. D. Student 10 12%
Other 8 9%
Student > Master 8 9%
Student > Postgraduate 5 6%
Other 14 16%
Unknown 28 33%
Readers by discipline Count As %
Medicine and Dentistry 30 35%
Psychology 6 7%
Nursing and Health Professions 5 6%
Social Sciences 3 4%
Linguistics 1 1%
Other 8 9%
Unknown 32 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 10 September 2018.
All research outputs
#3,130,398
of 23,306,612 outputs
Outputs from BMC Health Services Research
#1,403
of 7,801 outputs
Outputs of similar age
#64,572
of 336,186 outputs
Outputs of similar age from BMC Health Services Research
#54
of 168 outputs
Altmetric has tracked 23,306,612 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,801 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one has done well, scoring higher than 81% 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 336,186 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 168 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 68% of its contemporaries.