Evidence map›Paper›PMID 39986860›Full record

ArticleJournal of safety research2025

Clinical diagnosis groups developed to bridge the ICD-9-CM to ICD-10-CM coding transition and monitor trends in workers' compensation claims - Ohio, 2011-2018.

Alysha R Meyers, Tara N Schrader, Edward Krieg, Steven J Naber, Chih-Yu Tseng, Michael P Lampl, Brian Chin, Steven J Wurzelbacher

Abstract read
In one paragraph

Article in Journal of safety research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Robot-Related Workers' Compensation Claims in Ohio, 2001-2020.American journal of industrial medicine · 2026
    Article
  2. 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

8 authors.

Alysha R MeyersDivision of Field Studies and Engineering, National Institute for Occupational Safety and Health, 1090 Tusculum Ave, Cincinnati, OH 45226, USA. Electronic address: itm4@cdc.gov.
Tara N SchraderWork Performed During Oak Ridge Institute for Science and Education Fellowship at National Institute for Occupational Safety and Health, 1090 Tusculum Ave, Cincinnati, OH 45226, USA.
Edward KriegDivision of Field Studies and Engineering, National Institute for Occupational Safety and Health, 1090 Tusculum Ave, Cincinnati, OH 45226, USA. Electronic address: erk3@cdc.gov.
Steven J NaberOhio Bureau of Workers' Compensation, 30 West Spring Street, Columbus, OH 43215-2256, USA. Electronic address: steven.n.1@bwc.ohio.gov.
Chih-Yu TsengDivision of Field Studies and Engineering, National Institute for Occupational Safety and Health, 1090 Tusculum Ave, Cincinnati, OH 45226, USA.
Michael P LamplOhio Bureau of Workers' Compensation, 30 West Spring Street, Columbus, OH 43215-2256, USA. Electronic address: Michael.l.1@bwc.ohio.gov.
Brian ChinDivision of Field Studies and Engineering, National Institute for Occupational Safety and Health, 1090 Tusculum Ave, Cincinnati, OH 45226, USA.
Steven J WurzelbacherDivision of Field Studies and Engineering, National Institute for Occupational Safety and Health, 1090 Tusculum Ave, Cincinnati, OH 45226, USA. Electronic address: srw3@cdc.gov.

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

introductionThis study aimed to develop a set of broad clinical diagnosis (ClinDx) groups relevant to occupational safety and health. The ClinDx groups are necessary for analysis and interpretation of longitudinal health data that include injury and disease codes from the Ninth and Tenth Revision of the International Classification of Disease, Clinical Modification (ICD-9-CM, ICD-10-CM).

methodsClaims data were analyzed for Ohio Bureau of Workers' Compensation insured employers from 2011 to 2018. We used interrupted time series regression models to estimate level (frequency) and slope (trend) changes to the percentage of each ClinDx group in October 2015. We created ClinDx groups aligned with ICD-10-CM structure and coding principles. Each ClinDx group was counted once per claim (distinct groups). Monthly percentages were calculated based on the injury date. When present, seasonality was assessed separately for each outcome using an autoregressive-moving average model.

resultsThe final set of ClinDx groups included 57 mutually exclusive and exhaustive groups. The study population included 661,684 claims, with 959,322 distinct ClinDx groups. Among all claims, 96.27% included injury code(s) and 11.77% included disease(s) codes. At the transition to ICD-10-CM, 33 ClinDx groups lacked any statistically significant (P < 0.05) changes between periods. We observed level changes for 17 ClinDx groups and slope changes for nine groups. Eight ClinDx groups had ≥ 20% (+/-) level changes.

conclusionWhile the transition to ICD-10-CM is a break in series, about two-thirds of disease groups and half of injury groups were relatively stable across the transition. These findings also underscore the need for characterizing both injury and disease outcomes when analyzing workers' compensation data. PRACTICAL APPLICATIONS: The 57 ClinDx groups created in this study may be a practical starting point for other occupational epidemiologic analyses that include a mixture of ICD-9-CM and ICD-10-CM data.

Indexed as

Clinical CodingDiagnosis-Related GroupsInternational Classification of DiseasesOccupational InjuriesWorkers' CompensationAdultFemaleHumansMaleOccupational HealthOhioDiagnosis codesDiagnostic coding transitionICD-10-CMICD-9-CMInternational classification of diseaseInterrupted time seriesKnee outcomesTraumatic injuryWorkers’ compensation

Identifiers

PMID39986860
PMCPMC12036673

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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.