| Title |
Using the electronic health record to connect primary care patients to evidence-based telephonic tobacco quitline services: a closed-loop demonstration project
|
|---|---|
| Published in |
Translational Behavioral Medicine, March 2014
|
| DOI | 10.1007/s13142-014-0259-y |
| Pubmed ID | |
| Authors |
Robert T. Adsit, Bradley M. Fox, Thanos Tsiolis, Carolyn Ogland, Michelle Simerson, Linda M. Vind, Sean M. Bell, Amy D. Skora, Timothy B. Baker, Michael C. Fiore |
| Abstract |
Few smokers receive evidence-based tobacco treatment during healthcare visits. Electronic health records (EHRs) present an opportunity to efficiently identify and refer smokers to state tobacco quitlines. The purpose of this case study is to develop and evaluate a secure, closed-loop EHR referral system linking patients visiting healthcare clinics with a state tobacco quitline. A regional health system, EHR vendor, tobacco cessation telephone quitline vendor, and university research center collaborated to modify a health system's EHR to create an eReferral system. Modifications included the following: clinic workflow adjustments, EHR prompts, and return of treatment delivery information from the quitline to the patient's EHR. A markedly higher percentage of adult tobacco users were referred to the quitline using eReferral than using the previous paper fax referral (14 vs. 0.3 %). The eReferral system increased the referral of tobacco users to quitline treatment. This case study suggests the feasibility and effectiveness of a secure, closed-loop EHR-based eReferral system. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 4% |
| United Kingdom | 1 | 1% |
| Unknown | 64 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 19% |
| Student > Master | 9 | 13% |
| Student > Ph. D. Student | 5 | 7% |
| Professor > Associate Professor | 5 | 7% |
| Other | 4 | 6% |
| Other | 13 | 19% |
| Unknown | 19 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 18 | 26% |
| Nursing and Health Professions | 9 | 13% |
| Social Sciences | 5 | 7% |
| Psychology | 4 | 6% |
| Engineering | 3 | 4% |
| Other | 4 | 6% |
| Unknown | 25 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 2020.
All research outputs
#6,886,552
of 24,059,832 outputs
Outputs from Translational Behavioral Medicine
#450
of 1,038 outputs
Outputs of similar age
#63,034
of 227,595 outputs
Outputs of similar age from Translational Behavioral Medicine
#7
of 8 outputs
Altmetric has tracked 24,059,832 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 1,038 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.8. This one has gotten more attention than average, scoring higher than 54% of its peers.
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We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one.