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Hiding in plain sight: communication theory in implementation science

Overview of attention for article published in Implementation Science, April 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 (90th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

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1 policy source
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21 X users
facebook
1 Facebook page
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1 Google+ user

Citations

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55 Dimensions

Readers on

mendeley
193 Mendeley
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1 CiteULike
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Title
Hiding in plain sight: communication theory in implementation science
Published in
Implementation Science, April 2015
DOI 10.1186/s13012-015-0244-y
Pubmed ID
Authors

Milisa Manojlovich, Janet E Squires, Barbara Davies, Ian D Graham

Abstract

Poor communication among healthcare professionals is a pressing problem, contributing to widespread barriers to patient safety. The word "communication" means to share or make common. In the literature, two communication paradigms dominate: (1) communication as a transactional process responsible for information exchange, and (2) communication as a transformational process responsible for causing change. Implementation science has focused on information exchange attributes while largely ignoring transformational attributes of communication. In this paper, we debate the merits of encompassing both paradigms. We conducted a two-staged literature review searching for the concept of communication in implementation science to understand how communication is conceptualized. Twenty-seven theories, models, or frameworks were identified; only Rogers' Diffusion of Innovations theory provides a definition of communication and includes both communication paradigms. Most models (notable exceptions include Diffusion of Innovations, The Ottawa Model of Research Use, and Normalization Process Theory) describe communication as a transactional process. But thinking of communication solely as information transfer or exchange misrepresents reality. We recommend that implementation science theories (1) propose and test the concept of shared understanding when describing communication, (2) acknowledge that communication is multi-layered, identify at least a few layers, and posit how identified layers might affect the development of shared understanding, (3) acknowledge that communication occurs in a social context, providing a frame of reference for both individuals and groups, (4) acknowledge the unpredictability of communication (and healthcare processes in general), and (5) engage with and draw on work done by communication theorists. Implementation science literature has conceptualized communication as a transactional process (when communication has been mentioned at all), thereby ignoring a key contributor to implementation intervention success. When conceptualized as a transformational process, the focus of communication moves to shared understanding and is grounded in human interactions and the way we go about constructing knowledge. Instead of hiding in plain sight, we suggest explicitly acknowledging the role that communication plays in our implementation efforts. By using both paradigms, we can investigate when communication facilitates implementation, when it does not, and how to improve it so that our implementation and clinical interventions are embraced by clinicians and patients alike.

X Demographics

X Demographics

The data shown below were collected from the profiles of 21 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 193 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 5 3%
United Kingdom 2 1%
Switzerland 1 <1%
Australia 1 <1%
Spain 1 <1%
United States 1 <1%
Grenada 1 <1%
Unknown 181 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 15%
Researcher 26 13%
Student > Master 26 13%
Student > Doctoral Student 16 8%
Student > Bachelor 16 8%
Other 39 20%
Unknown 42 22%
Readers by discipline Count As %
Nursing and Health Professions 37 19%
Social Sciences 32 17%
Medicine and Dentistry 29 15%
Psychology 14 7%
Business, Management and Accounting 10 5%
Other 27 14%
Unknown 44 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 01 January 2016.
All research outputs
#2,217,018
of 25,820,938 outputs
Outputs from Implementation Science
#430
of 1,822 outputs
Outputs of similar age
#27,358
of 280,831 outputs
Outputs of similar age from Implementation Science
#13
of 53 outputs
Altmetric has tracked 25,820,938 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,822 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.9. This one has done well, scoring higher than 76% 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 280,831 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 53 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.