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The consultation of rugby players in co-developing a player health study: feasibility and consequences of sports participants as research partners

Overview of attention for article published in Research Involvement and Engagement, May 2017
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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)

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Title
The consultation of rugby players in co-developing a player health study: feasibility and consequences of sports participants as research partners
Published in
Research Involvement and Engagement, May 2017
DOI 10.1186/s40900-017-0055-1
Pubmed ID
Authors

Madeleine A.M. Davies, Edward Balai, Jo Adams, John-Henry Carter, Andrew Judge, Julia L. Newton, Nigel K. Arden

Abstract

Many funding bodies within the United Kingdom and globally have encouraged public involvement in research. The Department of Health has also called public involvement a sign of good research. Despite the wide acceptance of public involvement improving many aspects of research, from its design to its communication, involvement has varied levels of implementation across different fields of research. Sports people have rarely been involved in research, partly as this research tends not to be funded by mainstream funding bodies. This may lead to a lower research quality, not founded in player ('service user') experiences. When creating a study of former rugby player health, we were very keen to involve rugby players, understand their thoughts on player health, and their playing experiences. This article explains how rugby players were involved in several ways, but mainly in group discussions during the design stage. These groups helped to inform our study's aims and questionnaire, ensure the questionnaire would capture player experiences and answer questions relevant to players, that they would like to understand after their participation in rugby. We found that these groups were easy to arrange, and that in only one session with each group, we were given many ideas of how to improve the questionnaire and study. We believe that other studies in sports should involve sports people, and that this is a useful activity that will change data collection forms and processes, improving the research, helping researchers, and making studies more suitable for players who take part in them. Background Patient and public involvement ('involvement') in the UK has increased in accordance with funding requirements, patient-centered health policy initiatives and reporting of the positive impact of involvement for those involved, research and researchers. However, involvement has not been implemented equally across all disease areas and populations. The aim of this process was to involve rugby players across the research cycle of a player health study, ensure the study is player-centred, and that players had approved and informed the design of the study and its questionnaire from their playing experiences. Methods Two group discussions were undertaken with current students who were playing rugby at a Collegiate University. All male and female University rugby players and two College rugby teams were approached to become involved. Sessions were chaired by a player-lead using a topic guide and were audio-recorded and transcribed. Player suggestions were extracted by the player-lead and discussed within the study team for inclusion in the player health study and its questionnaire. Results Players readily engaged with the sessions and made many contributions to the development of the study and the questionnaire. Players discussed whether certain topics were being collected satisfactorily, and whether the questionnaire would encompass their playing experiences or that of other players. Players suggested where answers might be less reliable, and ways in which this could be improved. Players recommended additions to the questionnaire, and questioned researchers on the choice of language, motivation for question inclusion and if measures were standardised or novel. Alterations were made to the questionnaire based on suggestions, where these were agreed by the study team. Conclusions Involving a group of players in the design of a player health study and questionnaire was not an arduous process and was rewarding for researchers. The process resulted in numerous alterations to the questionnaire and its functionality, which may improve response rate, the experience of players participating in the player health study, and their ability to report relevant information aligned with their previous experience. Player involvement in research was feasible to implement and improved not only the questionnaire, but also researcher confidence in the project and player experiences being accurately captured and leading a reliable data collection processes in a population with the potential for cultural bias to affect the ascertainment of health, pain and injury.

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 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 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 53 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 17%
Student > Master 8 15%
Researcher 5 9%
Other 4 8%
Student > Bachelor 4 8%
Other 5 9%
Unknown 18 34%
Readers by discipline Count As %
Medicine and Dentistry 12 23%
Sports and Recreations 10 19%
Nursing and Health Professions 3 6%
Psychology 2 4%
Biochemistry, Genetics and Molecular Biology 2 4%
Other 1 2%
Unknown 23 43%
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 30 May 2018.
All research outputs
#3,538,766
of 25,018,122 outputs
Outputs from Research Involvement and Engagement
#291
of 484 outputs
Outputs of similar age
#60,971
of 316,468 outputs
Outputs of similar age from Research Involvement and Engagement
#7
of 7 outputs
Altmetric has tracked 25,018,122 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 484 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.9. This one is in the 40th percentile – i.e., 40% of its peers scored the same or lower than it.
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 316,468 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 7 others from the same source and published within six weeks on either side of this one.