Evidence map›Paper›PMID 25186492›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2015

Challenges and remediation for Patient Safety Indicators in the transition to ICD-10-CM.

Andrew D Boyd, Young Min Yang, Jianrong Li, Colleen Kenost, Mike D Burton, Bryan Becker, Yves A Lussier

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Navigating a ship with a broken compass: evaluating standard algorithms to measure patient safety.Journal of the American Medical Informatics Association : JAMIA · 2017
    Article
  6. Article
  7. Metrics and tools for consistent cohort discovery and financial analyses post-transition to ICD-10-CM.Journal of the American Medical Informatics Association : JAMIA · 2015
    Article
  8. 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

7 authors.

Andrew D BoydInstitute for Interventional Health Informatics, University of Illinois at Chicago, Chicago, Illinois, USA University of Illinois Hospital and Health Sciences System, Chicago, Illinois, USA Departments of Biomedical and Health Information Sciences, University of Illinois at Chicago, Chicago, Illinois, USA Department of Medicine, University of Illinois at Chicago, Chicago, Illinois, USA.
Young Min YangDepartments of Biomedical and Health Information Sciences, University of Illinois at Chicago, Chicago, Illinois, USA Department of Chemistry, University of Illinois at Chicago, Chicago, Illinois, USA.
Jianrong LiDepartment of Medicine, University of Arizona, Tucson, Arizona, USA Biomedical Informatics Service Group, Arizona Health Science Center, University of Arizona, Tucson, Arizona, USA.
Colleen KenostDepartment of Medicine, University of Arizona, Tucson, Arizona, USA Biomedical Informatics Service Group, Arizona Health Science Center, University of Arizona, Tucson, Arizona, USA.
Mike D BurtonInstitute for Interventional Health Informatics, University of Illinois at Chicago, Chicago, Illinois, USA University of Illinois Hospital and Health Sciences System, Chicago, Illinois, USA Department of Medicine, University of Illinois at Chicago, Chicago, Illinois, USA.
Bryan BeckerUniversity of Illinois Hospital and Health Sciences System, Chicago, Illinois, USA Department of Medicine, University of Illinois at Chicago, Chicago, Illinois, USA.
Yves A LussierInstitute for Interventional Health Informatics, University of Illinois at Chicago, Chicago, Illinois, USA University of Illinois Hospital and Health Sciences System, Chicago, Illinois, USA Department of Medicine, University of Illinois at Chicago, Chicago, Illinois, USA Department of Medicine, University of Illinois at Chicago, Chicago, Illinois, USA Department of Medicine, University of Illinois at Chicago, Chicago, Illinois, USA Department of Medicine, University of Illinois at Chicago, Chicago, Illinois, USA Department of Medicine, University of Illinois at Chicago, Chicago, Illinois, USA.

Funding

VITAMIN AP30CA023074 · NCI · UNIVERSITY OF ARIZONA · PI Dan Theodorescu · 1985 to 2026
$110.2M
CTSA INFRASTRUCTURE FOR PEDIATRIC RESEARCHUL1RR029879 · NCRR · UNIVERSITY OF ILLINOIS AT CHICAGO · PI MAZZONE, THEODORE · 2009 to 2011
$11.0M
Center for Clinical and Translational ScienceUL1TR000050 · NCATS · UNIVERSITY OF ILLINOIS AT CHICAGO · PI AZAR, DIMITRI T, MERMELSTEIN, ROBIN J. · 2012 to 2014
$9.8M
Semantic Approaches to Phenotypic Databases AnalysesK22LM008308 · NLM · UNIVERSITY OF CHICAGO · PI LUSSIER, YVES A · 2004 to 2006
$468k
NCATS NIH HHS UL1 TR000050NCATS NIH HHS UL1TR000050NCI NIH HHS P30 CA023074NCI NIH HHS P30CA023074NCRR NIH HHS 1UL1RR029879-01NCRR NIH HHS UL1 RR029879NLM NIH HHS K22 LM008308NLM NIH HHS K22 LM008308-04
6 · The paper itself

Abstract

Reporting of hospital adverse events relies on Patient Safety Indicators (PSIs) using International Classification of Diseases, Ninth Edition, Clinical Modification (ICD-9-CM) codes. The US transition to ICD-10-CM in 2015 could result in erroneous comparisons of PSIs. Using the General Equivalent Mappings (GEMs), we compared the accuracy of ICD-9-CM coded PSIs against recommended ICD-10-CM codes from the Centers for Medicaid/Medicare Services (CMS). We further predict their impact in a cohort of 38,644 patients (1,446,581 visits and 399 hospitals). We compared the predicted results to the published PSI related ICD-10-CM diagnosis codes. We provide the first report of substantial hospital safety reporting errors with five direct comparisons from the 23 types of PSIs (transfusion and anesthesia related PSIs). One PSI was excluded from the comparison between code sets due to reorganization, while 15 additional PSIs were inaccurate to a lesser degree due to the complexity of the coding translation. The ICD-10-CM translations proposed by CMS pose impending risks for (1) comparing safety incidents, (2) inflating the number of PSIs, and (3) increasing the variability of calculations attributable to the abundance of coding system translations. Ethical organizations addressing 'data-, process-, and system-focused' improvements could be penalized using the new ICD-10-CM Agency for Healthcare Research and Quality PSIs because of apparent increases in PSIs bearing the same PSI identifier and label, yet calculated differently. Here we investigate which PSIs would reliably transition between ICD-9-CM and ICD-10-CM, and those at risk of under-reporting and over-reporting adverse events while the frequency of these adverse events remain unchanged.

Indexed as

International Classification of DiseasesPatient SafetyQuality Indicators, Health CareHumansMedical Informaticsadverse eventsclinical informaticshospitalsICD-10-cmnetwork topologypatient safety indicators

Identifiers

PMID25186492
PMCPMC4433358

What OpenQuestion holds

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LicenceCC BY-NC
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.