| Title |
Electronic Detection of Delayed Test Result Follow-Up in Patients with Hypothyroidism
|
|---|---|
| Published in |
Journal of General Internal Medicine, January 2017
|
| DOI | 10.1007/s11606-017-3988-z |
| Pubmed ID | |
| Authors |
Ashley N. D. Meyer, Daniel R. Murphy, Aymer Al-Mutairi, Dean F. Sittig, Li Wei, Elise Russo, Hardeep Singh |
| Abstract |
Delays in following up abnormal test results are a common problem in outpatient settings. Surveillance systems that use trigger tools to identify delayed follow-up can help reduce missed opportunities in care. To develop and test an electronic health record (EHR)-based trigger algorithm to identify instances of delayed follow-up of abnormal thyroid-stimulating hormone (TSH) results in patients being treated for hypothyroidism. We developed an algorithm using structured EHR data to identify patients with hypothyroidism who had delayed follow-up (>60 days) after an abnormal TSH. We then retrospectively applied the algorithm to a large EHR data warehouse within the Department of Veterans Affairs (VA), on patient records from two large VA networks for the period from January 1, 2011, to December 31, 2011. Identified records were reviewed to confirm the presence of delays in follow-up. During the study period, 645,555 patients were seen in the outpatient setting within the two networks. Of 293,554 patients with at least one TSH test result, the trigger identified 1250 patients on treatment for hypothyroidism with elevated TSH. Of these patients, 271 were flagged as potentially having delayed follow-up of their test result. Chart reviews confirmed delays in 163 of the 271 flagged patients (PPV = 60.1%). An automated trigger algorithm applied to records in a large EHR data warehouse identified patients with hypothyroidism with potential delays in thyroid function test results follow-up. Future prospective application of the TSH trigger algorithm can be used by clinical teams as a surveillance and quality improvement technique to monitor and improve follow-up. |
X Demographics
The data shown below were collected from the profiles of 27 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 | 8 | 30% |
| Spain | 5 | 19% |
| United Kingdom | 3 | 11% |
| Ireland | 1 | 4% |
| Romania | 1 | 4% |
| Australia | 1 | 4% |
| Switzerland | 1 | 4% |
| Unknown | 7 | 26% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 14 | 52% |
| Scientists | 9 | 33% |
| Practitioners (doctors, other healthcare professionals) | 3 | 11% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 49 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 16% |
| Student > Doctoral Student | 6 | 12% |
| Other | 4 | 8% |
| Student > Bachelor | 4 | 8% |
| Student > Master | 4 | 8% |
| Other | 7 | 14% |
| Unknown | 16 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 18 | 37% |
| Psychology | 4 | 8% |
| Nursing and Health Professions | 3 | 6% |
| Biochemistry, Genetics and Molecular Biology | 2 | 4% |
| Computer Science | 2 | 4% |
| Other | 3 | 6% |
| Unknown | 17 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 23 April 2017.
All research outputs
#2,278,880
of 25,732,188 outputs
Outputs from Journal of General Internal Medicine
#1,683
of 8,246 outputs
Outputs of similar age
#45,702
of 426,205 outputs
Outputs of similar age from Journal of General Internal Medicine
#20
of 91 outputs
Altmetric has tracked 25,732,188 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,246 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.2. This one has done well, scoring higher than 79% of its peers.
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We're also able to compare this research output to 91 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.