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Understanding discharge communication behaviours in a pediatric emergency care context: a mixed methods observation study protocol

Overview of attention for article published in BMC Health Services Research, April 2017
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Title
Understanding discharge communication behaviours in a pediatric emergency care context: a mixed methods observation study protocol
Published in
BMC Health Services Research, April 2017
DOI 10.1186/s12913-017-2204-5
Pubmed ID
Authors

Janet A. Curran, Andrea Bishop, Amy Plint, Shannon MacPhee, Roger Zemek, Jill Chorney, Mona Jabbour, Stephen Porter, Scott Sawyer

Abstract

One of the most important transitions in the continuum of care for children is discharge to home. Optimal discharge communication between healthcare providers and caregivers (e.g., parents or other guardians) who present to the emergency department (ED) with their children is not well understood. The lack of policies and considerable variation in practice regarding discharge communication in pediatric EDs pose a quality and safety risk for children and their parents. The aim of this mixed methods study is to better understand the process and structure of discharge communication in a pediatric ED context to contribute to the design and development of discharge communication interventions. We will use surveys, administrative data and real-time video observation to characterize discharge communication for six common illness presentations in a pediatric ED: (1) asthma, (2) bronchiolitis, (3) abdominal pain, (4) fever, (5) diarrhea and vomiting, and (6) minor head injury. Participants will be recruited from one of two urban pediatric EDs in Canada. Video recordings will be analyzed using Observer XT. We will use logistic regression to identify potential demographic and visit characteristic cofounders and multivariate logistic regression to examine association between verbal and non-verbal behaviours and parent recall and comprehension. Video recording of discharge communication will provide an opportunity to capture important data such as temporality, sequence and non-verbal behaviours that might influence the communication process. Given the importance of better characterizing discharge communication to identify potential barriers and enablers, we anticipate that the findings from this study will contribute to the development of more effective discharge communication policies and interventions.

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The data shown below were collected from the profiles of 3 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 116 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 116 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 17 15%
Student > Master 14 12%
Student > Postgraduate 9 8%
Student > Ph. D. Student 9 8%
Researcher 7 6%
Other 22 19%
Unknown 38 33%
Readers by discipline Count As %
Nursing and Health Professions 36 31%
Medicine and Dentistry 15 13%
Psychology 6 5%
Computer Science 3 3%
Agricultural and Biological Sciences 2 2%
Other 8 7%
Unknown 46 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 May 2017.
All research outputs
#15,149,265
of 23,301,510 outputs
Outputs from BMC Health Services Research
#5,497
of 7,798 outputs
Outputs of similar age
#185,111
of 310,910 outputs
Outputs of similar age from BMC Health Services Research
#94
of 134 outputs
Altmetric has tracked 23,301,510 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,798 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one is in the 27th percentile – i.e., 27% 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 310,910 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 134 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.