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Facilitators and barriers to implementing electronic referral and/or consultation systems: a qualitative study of 16 health organizations

Overview of attention for article published in BMC Health Services Research, December 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

Mentioned by

twitter
4 tweeters
facebook
1 Facebook page

Citations

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33 Dimensions

Readers on

mendeley
102 Mendeley
Title
Facilitators and barriers to implementing electronic referral and/or consultation systems: a qualitative study of 16 health organizations
Published in
BMC Health Services Research, December 2015
DOI 10.1186/s12913-015-1233-1
Pubmed ID
Authors

Delphine S. Tuot, Kiren Leeds, Elizabeth J. Murphy, Urmimala Sarkar, Courtney R. Lyles, Tekeshe Mekonnen, Alice Hm Chen

Abstract

Access to specialty care remains a challenge for primary care providers and patients. Implementation of electronic referral and/or consultation (eCR) systems provides an opportunity for innovations in the delivery of specialty care. We conducted key informant interviews to identify drivers, facilitators, barriers and evaluation metrics of diverse eCR systems to inform widespread implementation of this model of specialty care delivery. Interviews were conducted with leaders of 16 diverse health care delivery organizations between January 2013 and April 2014. A limited snowball sampling approach was used for recruitment. Content analysis was used to examine key informant interview transcripts. Electronic referral systems, which provide referral management and triage by specialists, were developed to enhance tracking and operational efficiency. Electronic consultation systems, which encourage bi-directional communication between primary care and specialist providers facilitating longitudinal virtual co-management, were developed to improve access to specialty expertise. Integrated eCR systems leverage both functionalities to enhance the delivery of coordinated, specialty care at the population level. Elements of successful eCR system implementation included executive and clinician leadership, established funding models for specialist clinician reimbursement, and a commitment to optimizing clinician workflows. eCR systems have great potential to streamline access to and enhance the coordination of specialty care delivery. While different eCR models help solve different organizational challenges, all require institutional investments for successful implementation, such as funding for program management, leadership and clinician incentives.

Twitter Demographics

The data shown below were collected from the profiles of 4 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 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 2%
Canada 1 <1%
Unknown 99 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 23 23%
Researcher 17 17%
Student > Doctoral Student 12 12%
Student > Ph. D. Student 11 11%
Lecturer 7 7%
Other 32 31%
Readers by discipline Count As %
Medicine and Dentistry 37 36%
Nursing and Health Professions 21 21%
Unspecified 14 14%
Social Sciences 10 10%
Business, Management and Accounting 7 7%
Other 13 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 07 October 2016.
All research outputs
#3,587,304
of 8,485,607 outputs
Outputs from BMC Health Services Research
#1,527
of 3,154 outputs
Outputs of similar age
#111,174
of 315,476 outputs
Outputs of similar age from BMC Health Services Research
#41
of 104 outputs
Altmetric has tracked 8,485,607 research outputs across all sources so far. This one has received more attention than most of these and is in the 57th percentile.
So far Altmetric has tracked 3,154 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has gotten more attention than average, scoring higher than 50% 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 315,476 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.
We're also able to compare this research output to 104 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 56% of its contemporaries.