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Mendeley readers
Attention Score in Context
| Title |
Use of diagnosis codes for detection of clinically significant opioid poisoning in the emergency department: A retrospective analysis of a surveillance case definition
|
|---|---|
| Published in |
BMC Emergency Medicine, February 2016
|
| DOI | 10.1186/s12873-016-0075-4 |
| Pubmed ID | |
| Authors |
Joseph M. Reardon, Katherine J. Harmon, Genevieve C. Schult, Catherine A. Staton, Anna E. Waller |
| Abstract |
Although fatal opioid poisonings tripled from 1999 to 2008, data describing nonfatal poisonings are rare. Public health authorities are in need of tools to track opioid poisonings in near real time. We determined the utility of ICD-9-CM diagnosis codes for identifying clinically significant opioid poisonings in a state-wide emergency department (ED) surveillance system. We sampled visits from four hospitals from July 2009 to June 2012 with diagnosis codes of 965.00, 965.01, 965.02 and 965.09 (poisoning by opiates and related narcotics) and/or an external cause of injury code of E850.0-E850.2 (accidental poisoning by opiates and related narcotics), and developed a novel case definition to determine in which cases opioid poisoning prompted the ED visit. We calculated the percentage of visits coded for opioid poisoning that were clinically significant and compared it to the percentage of visits coded for poisoning by non-opioid agents in which there was actually poisoning by an opioid agent. We created a multivariate regression model to determine if other collected triage data can improve the positive predictive value of diagnosis codes alone for detecting clinically significant opioid poisoning. 70.1 % of visits (Standard Error 2.4 %) coded for opioid poisoning were primarily prompted by opioid poisoning. The remainder of visits represented opioid exposure in the setting of other primary diseases. Among non-opioid poisoning codes reviewed, up to 36 % were reclassified as an opioid poisoning. In multivariate analysis, only naloxone use improved the positive predictive value of ICD-9-CM codes for identifying clinically significant opioid poisoning, but was associated with a high false negative rate. This surveillance mechanism identifies many clinically significant opioid overdoses with a high positive predictive value. With further validation, it may help target control measures such as prescriber education and pharmacy monitoring. |
Mendeley readers
The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 87 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 16% |
| Student > Master | 12 | 14% |
| Student > Ph. D. Student | 10 | 11% |
| Student > Doctoral Student | 6 | 7% |
| Other | 5 | 6% |
| Other | 18 | 21% |
| Unknown | 22 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 32 | 37% |
| Nursing and Health Professions | 6 | 7% |
| Social Sciences | 6 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 3% |
| Business, Management and Accounting | 2 | 2% |
| Other | 10 | 11% |
| Unknown | 28 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 August 2018.
All research outputs
#3,741,991
of 22,844,985 outputs
Outputs from BMC Emergency Medicine
#175
of 748 outputs
Outputs of similar age
#67,583
of 398,933 outputs
Outputs of similar age from BMC Emergency Medicine
#4
of 14 outputs
Altmetric has tracked 22,844,985 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 748 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one has done well, scoring higher than 76% 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 398,933 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 14 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 71% of its contemporaries.