↓ Skip to main content

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
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
4 X users
facebook
1 Facebook page

Citations

dimensions_citation
71 Dimensions

Readers on

mendeley
212 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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 212 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Canada 1 <1%
Unknown 210 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 35 17%
Researcher 28 13%
Student > Ph. D. Student 17 8%
Student > Doctoral Student 17 8%
Student > Bachelor 12 6%
Other 47 22%
Unknown 56 26%
Readers by discipline Count As %
Medicine and Dentistry 57 27%
Nursing and Health Professions 32 15%
Social Sciences 18 8%
Business, Management and Accounting 14 7%
Computer Science 7 3%
Other 21 10%
Unknown 63 30%
Attention Score in Context

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
#13,566,023
of 23,881,329 outputs
Outputs from BMC Health Services Research
#4,507
of 7,949 outputs
Outputs of similar age
#183,322
of 393,879 outputs
Outputs of similar age from BMC Health Services Research
#55
of 103 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,949 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one is in the 42nd percentile – i.e., 42% 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 393,879 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 52% of its contemporaries.
We're also able to compare this research output to 103 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.