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Pre-validation methods for developing a patient reported outcome instrument

Overview of attention for article published in BMC Medical Research Methodology, August 2011
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Title
Pre-validation methods for developing a patient reported outcome instrument
Published in
BMC Medical Research Methodology, August 2011
DOI 10.1186/1471-2288-11-112
Pubmed ID
Authors

Maria E Prior, Jemaima Che Hamzah, Jillian J Francis, Craig R Ramsay, Mayret M Castillo, Susan E Campbell, Augusto Azuara-Blanco, Jennifer M Burr

Abstract

Measures that reflect patients' assessment of their health are of increasing importance as outcome measures in randomised controlled trials. The methodological approach used in the pre-validation development of new instruments (item generation, item reduction and question formatting) should be robust and transparent. The totality of the content of existing PRO instruments for a specific condition provides a valuable resource (pool of items) that can be utilised to develop new instruments. Such 'top down' approaches are common, but the explicit pre-validation methods are often poorly reported. This paper presents a systematic and generalisable 5-step pre-validation PRO instrument methodology.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 4%
Korea, Republic of 1 2%
Unknown 48 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 18%
Researcher 7 14%
Student > Master 6 12%
Student > Doctoral Student 5 10%
Student > Bachelor 3 6%
Other 12 24%
Unknown 9 18%
Readers by discipline Count As %
Medicine and Dentistry 23 45%
Social Sciences 5 10%
Computer Science 3 6%
Agricultural and Biological Sciences 2 4%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Other 6 12%
Unknown 10 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 March 2022.
All research outputs
#15,794,207
of 23,460,553 outputs
Outputs from BMC Medical Research Methodology
#1,555
of 2,075 outputs
Outputs of similar age
#86,846
of 122,132 outputs
Outputs of similar age from BMC Medical Research Methodology
#12
of 18 outputs
Altmetric has tracked 23,460,553 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,075 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one is in the 16th percentile – i.e., 16% of its peers scored the same or lower than it.
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