Evidence map›Paper›PMID 32308876›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2019

Have ICD-10 Coding Practices Changed Since 2015?

Srikanth Sivashankaran, John P Borsi, Amanda Yoho

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. 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

3 authors.

Srikanth SivashankaranIBM Watson Health, Cleveland, OH.
John P BorsiIBM Watson Health, Cleveland, OH.
Amanda YohoIBM Watson Health, Cleveland, OH.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Usage of ICD-10 codes in administrative data has continued to shift since mandatory adoption in 2015. Identifying changing patterns in coding behavior is imperative in producing reliable analyses and robust conclusions. We examined the granularity of ICD-10 coding over time in a cohort selected from the IBM Explorys Therapeutic Dataset, which contains the records of over 60 million patients. Our seasonality-aware trend model identified patterns of interest, such as increased use of laterality codes for pain and increased use of codes denoting concepts novel to ICD- 10 for screening encounters. Those relying on these codes should adjust for these 'learning curve' effects. This work should be extended to additional modalities of terminology usage and represents a starting point for researchers working with dynamic clinical ontologies.

Indexed as

International Classification of DiseasesClinical CodingCohort StudiesDatasets as TopicFemaleHumansMale

Identifiers

PMID32308876
PMCPMC7153097

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.