-
J Pain Palliat Care Pharmacother · Jun 2018
Natural Language Processing-Identified Problem Opioid Use and Its Associated Health Care Costs.
- Elizabeth T Masters, Arvind Ramaprasan, Jack Mardekian, Roy E Palmer, David E Gross, David Cronkite, Von Korff Michael M, and David S Carrell.
- J Pain Palliat Care Pharmacother. 2018 Jun 1; 32 (2-3): 106-115.
AbstractUse of prescription opioids and problems of abuse and addiction have increased over the past decade. Claims-based studies have documented substantial economic burden of opioid abuse. This study utilized electronic health record (EHR) data to identify chronic opioid therapy (COT) patients with problem opioid use (POU) and compared costs with those for COT patients without POU. This study utilized EHR and claims data from an integrated health care system. Patients received COT (≥70 days' supply in ≥1 calendar quarter, 2006-2012). Natural language processing (NLP) identified notations of opioid addiction, abuse, misuse, or overuse, and manual validation was performed. Cases had evidence of POU (index = first POU notation), and controls, sampled 9:1, did not. Health care resource utilization was measured and costs estimated using Medicare reimbursement rates. A longitudinal analysis of costs was conducted using generalized estimating equations. Adjusted analyses controlled for baseline age, gender, region, specific comorbidities, and a comorbidity index. The analysis population included 1,125 cases and 10,128 controls. Unadjusted costs were higher for cases in all three years. After controlling for covariates, total costs remained higher in cases and were significantly higher in the first year of follow-up ($38,064 vs. $31,674, P = .0048). The largest cost difference was observed in the first month of follow-up. COT patients with POU experienced significantly higher costs compared with COT patients without POU in the first year of follow-up. The greatest difference in costs was observed around identification of POU.
Notes
Knowledge, pearl, summary or comment to share?You can also include formatting, links, images and footnotes in your notes
- Simple formatting can be added to notes, such as
*italics*
,_underline_
or**bold**
. - Superscript can be denoted by
<sup>text</sup>
and subscript<sub>text</sub>
. - Numbered or bulleted lists can be created using either numbered lines
1. 2. 3.
, hyphens-
or asterisks*
. - Links can be included with:
[my link to pubmed](http://pubmed.com)
- Images can be included with:
![alt text](https://bestmedicaljournal.com/study_graph.jpg "Image Title Text")
- For footnotes use
[^1](This is a footnote.)
inline. - Or use an inline reference
[^1]
to refer to a longer footnote elseweher in the document[^1]: This is a long footnote.
.