Evidence map›Paper›PMID 29377131›Full record

ArticleTransfusion2018

Accuracy of international classification of diseases, ninth revision, codes for postpartum hemorrhage among women undergoing cesarean delivery.

Alexander J Butwick, Eileen M Walsh, Michael Kuzniewicz, Sherian X Li, Gabriel J Escobar

Abstract read
In one paragraph

Article in Transfusion, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
5.4field-weighted citation impact, top 5% of its field
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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. A comprehensive digital phenotype for postpartum hemorrhage.Journal of the American Medical Informatics Association : JAMIA · 2022
    Article
  8. Accuracy of postpartum hemorrhage coding in the Swedish Pregnancy Register.Acta obstetricia et gynecologica Scandinavica · 2021
    Article
  9. Article
  10. Article
  11. 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

5 authors at 2 institutions in 1 country.

Alexander J ButwickDepartment of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, California.
Eileen M WalshDivision of Research, Kaiser Permanente Northern California, Oakland, California.
Michael KuzniewiczDivision of Research, Kaiser Permanente Northern California, Oakland, California.
Sherian X LiDivision of Research, Kaiser Permanente Northern California, Oakland, California.
Gabriel J EscobarDivision of Research, Kaiser Permanente Northern California, Oakland, California.
Kaiser Permanente · USStanford University · US

Funding

Postpartum Hemmorrhage and Anemia: Epidemiologic and Cost-Effectiveness AnalysesK23HD070972 · NICHD · STANFORD UNIVERSITY · PI BUTWICK, ALEXANDER JAMES · 2013 to 2017
$699k
NICHD NIH HHS K23 HD070972
6 · The paper itself

Abstract

backgroundDetermining the accuracy of International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9) codes for postpartum hemorrhage (PPH) is vital for reaching valid conclusions about the epidemiology of PPH. Our primary objectives were to assess the performance characteristics of ICD-9 PPH codes against a reference standard using estimated blood loss (EBL) among a cohort undergoing Cesarean delivery. STUDY DESIGN AND

methodsWe analyzed maternal discharge and EBL data from women who underwent Cesarean delivery at Kaiser Permanente Northern California facilities between 2010 and 2013. We defined PPH as an EBL of at least 1000 mL. In a secondary analysis, ICD-9 performance characteristics were assessed using an EBL of at least 1500 mL to classify severe PPH.

resultsWe identified 35,614 hospitalizations for Cesarean delivery. Using EBL of at least 1000 mL as the "gold standard," PPH codes had a sensitivity of 27.8%, specificity of 97%, positive predictive value (PPV) of 74.5%, and a negative predictive value (NPV) of 80.9%. The prevalence of a PPH code (9%) was lower than the prevalence using a blood loss of at least 1000 mL (24%). Using a reference standard of EBL of at least 1500 mL, PPH codes had a sensitivity of 61.7%, specificity of 93.8%, PPV of 34.2%, and NPV of 97.9%.

conclusionPPH ICD-9 codes have high specificity, moderately high PPVs and NPVs, and low sensitivity. An EBL of at least 1500 mL as a reference standard has higher sensitivity. Our findings suggest that, for women undergoing Cesarean delivery, quality improvement efforts are needed to enhance PPH ICD-9 coding accuracy in administrative data sets.

Indexed as

Cesarean SectionInternational Classification of DiseasesAdultBlood Coagulation DisordersDelivery of Health Care, IntegratedFemaleHumansHysterectomyMaternal AgeObesityParityPatient DischargePostpartum HemorrhagePredictive Value of TestsPregnancyPregnancy Complications

Identifiers

PMID29377131
PMCPMC5893374
OpenAlexW2799271499

What OpenQuestion holds

Textmetadata
LicenceTDM
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.