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Behaviour change strategies for reducing blood pressure-related disease burden: findings from a global implementation research programme

Overview of attention for article published in Implementation Science, January 2015
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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 (88th percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

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25 tweeters
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1 Facebook page

Citations

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23 Dimensions

Readers on

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221 Mendeley
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1 CiteULike
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Title
Behaviour change strategies for reducing blood pressure-related disease burden: findings from a global implementation research programme
Published in
Implementation Science, January 2015
DOI 10.1186/s13012-015-0331-0
Pubmed ID
Authors

David Peiris, Simon R Thompson, Andrea Beratarrechea, María K Cárdenas, Francisco Diez-Canseco, Jane Goudge, Joyce Gyamfi, Jemima H Kamano, Vilma Irazola, Claire Johnson, Andre P. Kengne, Ng K Keat, J. J Miranda, Sailesh Mohan, Barbara Mukasa, Eleanor Ng, Robby Nieuwlaat, Olugbenga Ogedegbe, Bruce Ovbiagele, Jacob Plange-Rhule, Devarsetty Praveen, Abdul Salam, Margaret Thorogood, Amanda G Thrift, Rajesh Vedanthan, Salina P Waddy, Jacqui Webster, Ruth Webster, Karen Yeates, Khalid Yusoff, $author.firstName $author.lastName, , , Peiris, David, Thompson, Simon R, Beratarrechea, Andrea, Cárdenas, María Kathia, Diez-Canseco, Francisco, Goudge, Jane, Gyamfi, Joyce, Kamano, Jemima Hoine, Irazola, Vilma, Johnson, Claire, Kengne, Andre P, Keat, Ng Kien, Miranda, J Jaime, Mohan, Sailesh, Mukasa, Barbara, Ng, Eleanor, Nieuwlaat, Robby, Ogedegbe, Olugbenga, Ovbiagele, Bruce, Plange-Rhule, Jacob, Praveen, Devarsetty, Salam, Abdul, Thorogood, Margaret, Thrift, Amanda G, Vedanthan, Rajesh, Waddy, Salina P, Webster, Jacqui, Webster, Ruth, Yeates, Karen, Yusoff, Khalid, Simon R. Thompson, María Kathia Cárdenas, Jemima Hoine Kamano, Ng Kien Keat, J. Jaime Miranda, Amanda G. Thrift, Salina P. Waddy

Abstract

The Global Alliance for Chronic Diseases comprises the majority of the world's public research funding agencies. It is focussed on implementation research to tackle the burden of chronic diseases in low- and middle-income countries and amongst vulnerable populations in high-income countries. In its inaugural research call, 15 projects were funded, focussing on lowering blood pressure-related disease burden. In this study, we describe a reflexive mapping exercise to identify the behaviour change strategies undertaken in each of these projects. Using the Behaviour Change Wheel framework, each team rated the capability, opportunity and motivation of the various actors who were integral to each project (e.g. community members, non-physician health workers and doctors in projects focussed on service delivery). Teams then mapped the interventions they were implementing and determined the principal policy categories in which those interventions were operating. Guidance was provided on the use of Behaviour Change Wheel to support consistency in responses across teams. Ratings were iteratively discussed and refined at several group meetings. There was marked variation in the perceived capabilities, opportunities and motivation of the various actors who were being targeted for behaviour change strategies. Despite this variation, there was a high degree of synergy in interventions functions with most teams utilising complex interventions involving education, training, enablement, environmental restructuring and persuasion oriented strategies. Similar policy categories were also targeted across teams particularly in the areas of guidelines, communication/marketing and service provision with few teams focussing on fiscal measures, regulation and legislation. The large variation in preparedness to change behaviour amongst the principal actors across these projects suggests that the interventions themselves will be variably taken up, despite the similarity in approaches taken. The findings highlight the importance of contextual factors in driving success and failure of research programmes. Forthcoming outcome and process evaluations from each project will build on this exploratory work and provide a greater understanding of factors that might influence scale-up of intervention strategies.

Twitter Demographics

The data shown below were collected from the profiles of 25 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 221 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Sri Lanka 1 <1%
Peru 1 <1%
Unknown 218 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 41 19%
Student > Master 25 11%
Student > Ph. D. Student 23 10%
Student > Doctoral Student 17 8%
Professor 14 6%
Other 68 31%
Unknown 33 15%
Readers by discipline Count As %
Medicine and Dentistry 64 29%
Nursing and Health Professions 29 13%
Social Sciences 16 7%
Agricultural and Biological Sciences 12 5%
Psychology 11 5%
Other 37 17%
Unknown 52 24%

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 21 April 2016.
All research outputs
#1,515,285
of 16,213,778 outputs
Outputs from Implementation Science
#437
of 1,525 outputs
Outputs of similar age
#33,528
of 286,708 outputs
Outputs of similar age from Implementation Science
#82
of 265 outputs
Altmetric has tracked 16,213,778 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,525 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one has gotten more attention than average, scoring higher than 71% 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 286,708 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 88% of its contemporaries.
We're also able to compare this research output to 265 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 69% of its contemporaries.