Evidence map›Paper›PMID 33882585›Full record

ArticleApplied clinical informatics2021

Data Quality of Chemotherapy-Induced Nausea and Vomiting Documentation.

Melissa Beauchemin, Chunhua Weng, Lillian Sung, Adrienne Pichon, Maura Abbott, Dawn L Hershman, Rebecca Schnall

Open access · bronzeAbstract read
In one paragraph

Article in Applied clinical informatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 21% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Digital Health Data Quality Issues: Systematic Review.Journal of medical Internet research · 2023
    Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. 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 at 3 institutions in 2 countries.

Melissa BeaucheminSchool of Nursing, Columbia University, New York, New York, United States.ORCID 0000-0003-4058-1586
Chunhua WengDepartment of Biomedical Informatics, Columbia University, New York, New York, United States.
Lillian SungThe Hospital for Sick Children, Toronto, Canada.
Adrienne PichonDepartment of Biomedical Informatics, Columbia University, New York, New York, United States.
Maura AbbottSchool of Nursing, Columbia University, New York, New York, United States.
Dawn L HershmanHerbert Irving Comprehensive Cancer Center, Columbia University, New York, New York, United States.
Rebecca SchnallSchool of Nursing, Columbia University, New York, New York, United States.
Columbia University · USColumbia University Irving Medical Center · USHospital for Sick Children · CA

Funding

Reducing Health Disparities Through Informatics - Genomics SupplementT32NR007969 · NINR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SUZANNE BAKKEN, Rebecca Schnall · 2002 to 2026
$7.9M
Training Program in Cancer-Related Population SciencesR25CA094061 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI NEUGUT, ALFRED I. · 2002 to 2016
$5.9M
Bridging the Semantic Gap Between Research Eligibility Criteria and Clinical DataR01LM009886 · NLM · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI WENG, CHUNHUA · 2009 to 2020
$5.3M
Reaching Communities through the Design of Information Visualizations (ReDIVis) Toolbox to Address COVID-19 Vaccine Hesitancy and Uptake.P30NR016587 · NINR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BAKKEN, SUZANNE, SMALDONE, ARLENE M · 2016 to 2022
$4.3M
Training Program in Cancer-related Population SciencesT32CA094061 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI NEUGUT, ALFRED I., TERRY, MARY BETH · 2017 to 2021
$1.1M
Mentoring and Research in Self-Management for Health Promotion and Disease PreventionK24NR018621 · NINR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SCHNALL, REBECCA · 2019 to 2022
$384k
NCI NIH HHS R25 CA094061NCI NIH HHS T32 CA094061NINR NIH HHS K24 NR018621NINR NIH HHS P30 NR016587NINR NIH HHS T32 NR007969NLM NIH HHS R01 LM009886
6 · The paper itself

Abstract

objectiveThe objective of the study was to characterize the completeness and concordance of the electronic health record (EHR) documentation of cancer symptoms among multidisciplinary health care professionals.

methodsWe examined the EHRs of children, adolescents, and young adults who received highly emetogenic chemotherapy and characterized the completeness and concordance of chemotherapy-induced nausea and vomiting (CINV) documentation by clinician type and by the International Classification of Diseases 10th Revision (ICD-10) coding choice.

resultsThe EHRs of 127 patients, comprising 870 patient notes, were abstracted and reviewed. A CINV assessment was documented by prescribers in 75% of patients, and by nurses in 58% of patients. Of the 60 encounters where both prescribers and nurses documented, 72% agreed on the presence/absence of CINV.

conclusionMost patients receiving highly emetogenic chemotherapy had a documented assessment of CINV; however, many had incomplete or discordant documentation of CINV from different providers by role, implying the importance of incorporating pragmatic knowledge of EHR documentation patterns among multidisciplinary health professionals for EHR phenotyping and clinical decision support systems directed toward cancer-related symptom management.

Indexed as

AntiemeticsAntineoplastic AgentsNeoplasmsAdolescentChildData AccuracyDocumentationHumansNauseaProspective StudiesVomitingYoung AdultAntiemeticsAntineoplastic Agents

Identifiers

PMID33882585
PMCPMC8060070
OpenAlexW3153489706

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.