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Community paramedicine model of care: an observational, ethnographic case study

Overview of attention for article published in BMC Health Services Research, February 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)

Mentioned by

news
1 news outlet
twitter
35 tweeters

Citations

dimensions_citation
38 Dimensions

Readers on

mendeley
180 Mendeley
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Title
Community paramedicine model of care: an observational, ethnographic case study
Published in
BMC Health Services Research, February 2016
DOI 10.1186/s12913-016-1282-0
Pubmed ID
Authors

Peter O’Meara, Christine Stirling, Michel Ruest, Angela Martin

Abstract

Community paramedicine programs have emerged throughout North America and beyond in response to demographic changes and health system reform. Our aim was to identify and analyse how community paramedics create and maintain new role boundaries and identities in terms of flexibility and permeability and through this develop and frame a coherent community paramedicine model of care that distinguish the model from other innovations in paramedic service delivery. Using an observational ethnographic case study approach, we collected data through interviews, focus groups and field observations. We then applied a combination of thematic analysis techniques and boundary theory to develop a community paramedicine model of care. A model of care that distinguishes community paramedicine from other paramedic service innovations emerged that follows the mnemonic RESPIGHT: Response to emergencies; Engaging with communities; Situated practice; Primary health care; Integration with health, aged care and social services; Governance and leadership; Higher education; Treatment and transport options. Community engagement and situated practice distinguish community paramedicine models of care from other paramedicine and out-of-hospital health care models. Successful community paramedicine programs are integrated with health, aged care and social services and benefit from strong governance and paramedic leadership.

Twitter Demographics

The data shown below were collected from the profiles of 35 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 180 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
United States 1 <1%
Canada 1 <1%
Unknown 177 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 37 21%
Student > Bachelor 31 17%
Student > Ph. D. Student 22 12%
Researcher 19 11%
Student > Doctoral Student 12 7%
Other 29 16%
Unknown 30 17%
Readers by discipline Count As %
Medicine and Dentistry 48 27%
Nursing and Health Professions 48 27%
Social Sciences 16 9%
Engineering 5 3%
Biochemistry, Genetics and Molecular Biology 5 3%
Other 23 13%
Unknown 35 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 37. 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 18 January 2020.
All research outputs
#918,987
of 22,444,133 outputs
Outputs from BMC Health Services Research
#229
of 7,472 outputs
Outputs of similar age
#18,112
of 379,966 outputs
Outputs of similar age from BMC Health Services Research
#1
of 1 outputs
Altmetric has tracked 22,444,133 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,472 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has done particularly well, scoring higher than 96% 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 379,966 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 95% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them