Evidence map›Paper›PMID 36318943›Full record

ReviewSouthern medical journal2022

Trends in ICD-10-CM-Coded Administrative Datasets for Injury Surveillance and Research.

Julia F Costich, Dana B Quesinberry, Lara K Daniels, Ashley Bush

Abstract readReview
In one paragraph

Review in Southern medical journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Trial
  2. Article
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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

4 authors.

Julia F CostichFrom the Kentucky Injury Prevention & Research Center and the Department of Health Management and Policy, University of Kentucky College of Public Health, Lexington.
Dana B QuesinberryFrom the Kentucky Injury Prevention & Research Center and the Department of Health Management and Policy, University of Kentucky College of Public Health, Lexington.
Lara K DanielsFrom the Kentucky Injury Prevention & Research Center and the Department of Health Management and Policy, University of Kentucky College of Public Health, Lexington.
Ashley BushFrom the Kentucky Injury Prevention & Research Center and the Department of Health Management and Policy, University of Kentucky College of Public Health, Lexington.

Funding

NCIPC CDC HHS NU17CE924846
6 · The paper itself

Abstract

objectivesAccurate injury surveillance depends on data quality in administrative datasets created for billing and reimbursement. Significant effort has been devoted to testing the ability of candidate injury case definitions to identify injury cases accurately in these datasets. We used interviews with experienced coders, informed by a review of the current literature, to identify three clinical coding trends that may affect the consistency of surveillance data: "clinical documentation improvement or clinical documentation integrity" (CDI), coding by treating clinicians, and certain electronic health record features.

methodsAn extensive literature review informed interviews with coding experts to identify potential issues in coding practice. To determine whether physician coding was associated with information loss, we analyzed data from two hospitals serving the same geographic area. One hospital had used physician coding of emergency department data for the past decade; the other used professional coders. We compared the proportion of emergency department records missing external cause of injury codes and assessed the variation for statistical significance.

resultsCDI audits review patient records to ensure that billing information includes every relevant

conclusionsInjury surveillance relies on billing and reimbursement records. Financial motivations may interfere with the consistency of surveillance findings and mislead injury epidemiologists. Further investigation is essential to ensure the integrity of surveillance findings.

Indexed as

International Classification of DiseasesMedicareAgedData AccuracyDocumentationEmergency Service, HospitalHumansUnited States

Identifiers

PMID36318943
PMCPMC9612715

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Registered trials

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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.