Literature DB >> 8447863

Surveillance of poisoning and drug overdose through hospital discharge coding, poison control center reporting, and the Drug Abuse Warning Network.

P D Blanc1, M R Jones, K R Olson.   

Abstract

There is no gold standard for determining poisoning incidence. We wished to compare four measures of poisoning incidence: International Classification of Diseases 9th Revision (ICD-9) principal (N-code) and supplemental external cause of injury (E-code) designations, poison control center (PCC) reporting, and detection by the Drug Abuse Warning Network (DAWN). We studied a case series at two urban hospitals. We assigned ICD-9 N-code and E-code classifications, determining whether these matched with medical records. We ascertained PCC and DAWN system reporting. A total of 724 subjects met entry criteria; 533 were studied (74%). We matched poisoning N-codes for 278 patients (52%), E-code by cause in 306 patients (57%), and E-code by intent in 171 patients (32%). A total of 383 patients (72%) received any poisoning N-code or any E-code. We found that PCC and DAWN reporting occurred for 123 of all patients (23%) and 399 of 487 eligible patients (82%), respectively. In multiple logistic regression, factors of age, hospital admission, suicidal intent, principal poisoning or overdose type, and mixed drug overdose were statistically significant predictors of case match or report varying by surveillance measure. Our findings indicate that common surveillance measures of poisoning and drug overdose may systematically undercount morbidity.

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Year:  1993        PMID: 8447863     DOI: 10.1016/0735-6757(93)90051-c

Source DB:  PubMed          Journal:  Am J Emerg Med        ISSN: 0735-6757            Impact factor:   2.469


  9 in total

1.  Development of a coroner-based surveillance system for drug-related deaths in Los Angeles county.

Authors:  Isabelle Sternfeld; Nicolle Perras; Patti L Culross
Journal:  J Urban Health       Date:  2010-07       Impact factor: 3.671

2.  Improving the E coding of hospitalizations for injury: do hospital records contain adequate documentation?

Authors:  J A Langlois; J S Buechner; E A O'Connor; E Q Nacar; G S Smith
Journal:  Am J Public Health       Date:  1995-09       Impact factor: 9.308

3.  A comparison of opioid-involved fatalities captured in the National Poison Data System to data derived from US death certificate literal text.

Authors:  Celeste A Mallama; James P Trinidad; Richard S Swain; Yueqin Zhao; Corinne Woods; Jana K McAninch
Journal:  Pharmacoepidemiol Drug Saf       Date:  2019-08-11       Impact factor: 2.890

4.  Toxico-surveillance of infant and toddler poisonings in the United States.

Authors:  Yaron Finkelstein; Janine R Hutson; Paul M Wax; Jeffrey Brent
Journal:  J Med Toxicol       Date:  2012-09

5.  Underreporting of fatal cases to a regional poison control center.

Authors:  P D Blanc; T E Kearney; K R Olson
Journal:  West J Med       Date:  1995-06

6.  Sensitivity of hospitals' E-coded data in identifying causes of children's violence-related injuries.

Authors:  D G Winn; P F Agran; C L Anderson
Journal:  Public Health Rep       Date:  1995 May-Jun       Impact factor: 2.792

7.  Pre-hospital treatment of acute poisonings in Oslo.

Authors:  Fridtjof Heyerdahl; Knut E Hovda; Mari A Bjornaas; Anne K Nore; Jose C P Figueiredo; Oivind Ekeberg; Dag Jacobsen
Journal:  BMC Emerg Med       Date:  2008-11-24

8.  Tobacco-related Poison Events Involving Young Children in the US, 2001-2016.

Authors:  Baoguang Wang; Brian Rostron
Journal:  Tob Regul Sci       Date:  2017-10

9.  Assessing public behavioral health services data: a mixed method analysis.

Authors:  Sierra X Vaughn; Hannah L Maxey; Alyson Keen; Kelli Thoele; Robin Newhouse
Journal:  Subst Abuse Treat Prev Policy       Date:  2020-11-11
  9 in total

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