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Validating administrative records in post‐traumatic stress disorder

Overview of attention for article published in International Journal of Methods in Psychiatric Research, June 2015
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Article details
Title
Validating administrative records in post‐traumatic stress disorder
Published in
International Journal of Methods in Psychiatric Research, June 2015
DOI 10.1002/mpr.1470
Pubmed ID
Authors
Abstract

There is insufficient data on the accuracy of administrative coding data (ACD) for post-traumatic stress disorder (PTSD). Medical records were reviewed for (1) a diagnosis of PTSD; (2) treatment for PTSD. The records were compared against the Veterans Health Administration (VHA) data in order to determine the positive predictive value (PPV) and negative predictive value (NPV) of three commonly used approaches. The PPV and NPV varied according to the ACD approach. Relative to a medical records review, the ACD approach of one or two PTSD coded outpatient encounters had a PPV of 78% and an NPV of 91%; whereas the PPV was 97% and the NPV was 98% for three or more PTSD codes. For pharmacotherapy, the ACD approach with one or two codes for PTSD had a PPV of 33% (NPV = 93%), whereas three or more PTSD coded encounters improved the PPV to 85% (NPV = 100%). When using VHA data, we recommend tailoring the identification strategy according to the research aims. An ACD approach identifying one or more PTSD outpatient encounters should be considered sufficient for a diagnosis of PTSD. Assessments for PTSD associated pharmacotherapy require using an ACD approach that identifies veterans with the presence ≥ 3 outpatient PTSD encounters. Copyright © 2015 John Wiley & Sons, Ltd.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 4 11%
Student > Bachelor 3 9%
Professor 3 9%
Student > Master 2 6%
Lecturer 1 3%
Other 3 9%
Unknown 19 54%
Readers by discipline
Readers by discipline Count As %
Psychology 8 23%
Medicine and Dentistry 4 11%
Nursing and Health Professions 2 6%
Social Sciences 1 3%
Unknown 20 57%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 17 June 2015.
All research outputs
#24,999,353
of 27,783,697 outputs
Outputs from International Journal of Methods in Psychiatric Research
#383
of 449 outputs
Outputs of similar age
#228,944
of 266,619 outputs
Outputs of similar age from International Journal of Methods in Psychiatric Research
#15
of 20 outputs
Altmetric has tracked 27,783,697 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 449 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.