Evidence map›Paper›PMID 36018725›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2022

Accuracy of ICD-10-CM encounter diagnoses from health records for identifying self-harm events.

Gregory E Simon, Susan M Shortreed, Jennifer M Boggs, Gregory N Clarke, Rebecca C Rossom, Julie E Richards, Arne Beck, Brian K Ahmedani, Karen J Coleman, Bhumi Bhakta and 7 more

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

17 authors.

Gregory E SimonKaiser Permanente Washington Health Research Institute, Seattle, Washington, USA.
Susan M ShortreedKaiser Permanente Washington Health Research Institute, Seattle, Washington, USA.
Jennifer M BoggsKaiser Permanente Colorado Institute for Health Research, Denver, Colorado, USA.
Gregory N ClarkeKaiser Permanente Northwest Center for Health Research, Portland, Oregon, USA.
Rebecca C RossomHealthPartners Institute, Minneapolis, Minnesota, USA.ORCID 0000-0002-9531-914X
Julie E RichardsKaiser Permanente Washington Health Research Institute, Seattle, Washington, USA.
Arne BeckKaiser Permanente Colorado Institute for Health Research, Denver, Colorado, USA.
Brian K AhmedaniCenter for Health Policy and Services Research, Henry Ford Health, Detroit, Michigan, USA.
Karen J ColemanKaiser Permanente Southern California Department of Research and Evaluation, Pasadena, California, USA.
Bhumi BhaktaKaiser Permanente Southern California Department of Research and Evaluation, Pasadena, California, USA.
Christine C StewartKaiser Permanente Washington Health Research Institute, Seattle, Washington, USA.
Stacy SterlingKaiser Permanente Northern California Division of Research, Oakland, California, USA.
Michael SchoenbaumNational Institute of Mental Health, Bethesda, Maryland, USA.
R Yates ColeyKaiser Permanente Washington Health Research Institute, Seattle, Washington, USA.
Marc StoneU.S. Food and Drug Administration, Silver Spring, Maryland, USA.
Andrew D MosholderU.S. Food and Drug Administration, Silver Spring, Maryland, USA.
Zimri S YaseenU.S. Food and Drug Administration, Silver Spring, Maryland, USA.ORCID 0000-0003-4103-2511

Funding

SSRI's and SuicidalityU19MH092201 · NIMH · KAISER FOUNDATION RESEARCH INSTITUTE · PI SIMON, GREGORY E. · 2010 to 2018
$19.5M
Pragmatic Trial of Population-based Programs to Prevent Suicide AttemptUH3MH007755 · NIMH · KAISER FOUNDATION HEALTH PLAN OF WASHINGTON · PI SIMON, GREGORY E. · 2014 to 2018
$8.9M
NIMH NIH HHS U19 MH092201NIMH NIH HHS UH3 MH007755
6 · The paper itself

Abstract

objectiveAssess the accuracy of ICD-10-CM coding of self-harm injuries and poisonings to identify self-harm events. MATERIALS AND

methodsIn 7 integrated health systems, records data identified patients reporting frequent suicidal ideation. Records then identified subsequent ICD-10-CM injury and poisoning codes indicating self-harm as well as selected codes in 3 categories where uncoded self-harm events might be found: injuries and poisonings coded as undetermined intent, those coded accidental, and injuries with no coding of intent. For injury and poisoning encounters with diagnoses in those 4 groups, relevant clinical text was extracted from records and assessed by a blinded panel regarding documentation of self-harm intent.

resultsDiagnostic codes selected for review include all codes for self-harm, 43 codes for undetermined intent, 26 codes for accidental intent, and 46 codes for injuries without coding of intent. Clinical text was available for review for 285 events originally coded as self-harm, 85 coded as undetermined intent, 302 coded as accidents, and 438 injury events with no coding of intent. Blinded review of full-text clinical records found documentation of self-harm intent in 254 (89.1%) of those originally coded as self-harm, 24 (28.2%) of those coded as undetermined, 24 (7.9%) of those coded as accidental, and 48 (11.0%) of those without coding of intent.

conclusionsAmong patients at high risk, nearly 90% of injuries and poisonings with ICD-10-CM coding of self-harm have documentation of self-harm intent. Reliance on ICD-10-CM coding of intent to identify self-harm would fail to include a small proportion of true self-harm events.

Indexed as

International Classification of DiseasesSelf-Injurious BehaviorHumansSuicidal IdeationcodingdiagnosesICD-10-CMself-harmsuicide

Identifiers

PMID36018725
PMCPMC9667165

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.