Evidence map›Paper›PMID 29353022›Full record

ArticleThe International journal on drug policy2018

Using medical examiner case narratives to improve opioid overdose surveillance.

Emily Hurstak, Christopher Rowe, Caitlin Turner, Emily Behar, Rachel Cabugao, Nikolas P Lemos, Catherine Burke, Phillip Coffin

Abstract readComparative Study
In one paragraph

Article in The International journal on drug policy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Unclassified drug overdose deaths in the opioid crisis: emerging patterns of inequity.Journal of the American Medical Informatics Association : JAMIA · 2019
    Article
  8. Review
  9. Article
  10. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Emily HurstakDivision of General Internal Medicine, University of California, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, CA, USA. Electronic address: Emily.hurstak@ucsf.edu.
Christopher RoweSubstance Use Research Unit, San Francisco Department of Public Health, San Francisco, CA, USA.
Caitlin TurnerSubstance Use Research Unit, San Francisco Department of Public Health, San Francisco, CA, USA.
Emily BeharSubstance Use Research Unit, San Francisco Department of Public Health, San Francisco, CA, USA.
Rachel CabugaoSubstance Use Research Unit, San Francisco Department of Public Health, San Francisco, CA, USA.
Nikolas P LemosDepartment of Laboratory Medicine, University of California, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, CA, USA.
Catherine BurkeDivision of Internal Medicine, University of California School of Medicine, San Francisco, CA, USA.
Phillip CoffinSubstance Use Research Unit, San Francisco Department of Public Health, San Francisco, CA, USA. Electronic address: Phillip.coffin@sfdph.org.

Funding

Midcareer K24 Award for Mentoring and Patient-Oriented ResearchK24DA042720 · NIDA · SAN FRANCISCO DEPARTMENT OF PUBLIC HEALTH · PI PHILLIP O COFFIN · 2016 to 2026
$1.6M
NIDA NIH HHS K24 DA042720
6 · The paper itself

Abstract

backgroundCurrent opioid overdose mortality surveillance methods do not capture the complexity of the overdose epidemic. Most rely on death certificates, which may underestimate both opioid analgesic and heroin deaths. Categorizing deaths using other characteristics from the death record including route of drug administration may provide useful information to design and evaluate overdose prevention interventions.

methodsWe reviewed California Electronic Death Reporting System records and San Francisco Office of the Chief Medical Examiner (OCME) toxicology reports and investigative case narratives for all unintentional opioid overdose deaths in San Francisco County from 2006 to 2012. We chose this time period because it encompassed a period of evolution in local opioid use patterns and expansion of overdose prevention efforts. We created a classification system for heroin-related and injection-related opioid overdose deaths and compared demographic, death scene, and toxicology characteristics among these groups.

resultsWe identified 816 unintentional opioid overdose deaths. One hundred fifty-two (19%) were standard heroin deaths, as designated by the OCME or by the presence of 6-monoacetylmorphine. An "expanded" classification for heroin deaths incorporating information from toxicology reports and case narratives added 20 additional heroin deaths (13% increase), accounting for 21% of all opioid deaths. Two hundred five deaths (25%) were injection-related, 60% of which were attributed to heroin. A combined classification of expanded heroin and injection-related deaths accounted for 31% of opioid overdose deaths during this period.

conclusionsUsing additional sources of information to classify opioid overdose cases resulted in a modest increase in the count of heroin overdose deaths but identified a substantial number of non-heroin injection-related opioid analgesic deaths. Including the route of administration in the characterization of opioid overdose deaths can identify meaningful subgroups of opioid users to enhance surveillance efforts and inform targeted public health programming including overdose prevention programs.

Indexed as

Epidemiological MonitoringNarrative MedicineAnalgesics, OpioidCaliforniaCoroners and Medical ExaminersDrug OverdoseElectronic Health RecordsFemaleHumansMaleMiddle AgedAnalgesics, OpioidDeath certificatesHeroinInjection drug useOpioid overdosePrescription opioids

Identifiers

PMID29353022
PMCPMC5899632

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.