Evidence map›Paper›PMID 32641050›Full record

ArticleBMC health services research2020

Use of the ICD-10 vision codes to study ocular conditions in Medicare beneficiaries with stroke.

Kimberly P Hreha, Steve R Fisher, Timothy A Reistetter, Kenneth Ottenbacher, Allen Haas, Chih-Ying Li, Joshua R Ehrlich, Diane B Whitaker, Heather E Whitson

Abstract read
In one paragraph

Article in BMC health services research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

9 authors.

Kimberly P HrehaDivision of Rehabilitation Sciences, University of Texas Medical Branch, School of Health Professions, 301 University Blvd., Galveston, TX, 77555, USA. khreha318@gmail.com.ORCID https://orcid.org/0000-0002-8277-3992
Steve R FisherPhysical Therapy Department, University of Texas Medical Branch, School of Health Professions, 301 University Blvd., Galveston, TX, 77555, USA.
Timothy A ReistetterDepartment of Occupational Therapy, School of Health Professions, University of Texas, 7703 Floyd Curl Drive, San Antonio, TX, 78229, USA.
Kenneth OttenbacherDivision of Rehabilitation Sciences, University of Texas Medical Branch, School of Health Professions, 301 University Blvd., Galveston, TX, 77555, USA.
Allen HaasDepartment of Preventive Medicine and Population Health, University of Texas Medical Branch, 301 University Blvd., Galveston, TX, 77555, USA.
Chih-Ying LiOccupational Therapy Department, University of Texas Medical Branch, School of Health Professions, 301 University Blvd., Galveston, TX, 77555, USA.
Joshua R EhrlichDepartment of Ophthalmology and Visual Sciences, Kellogg Eye Center, University of Michigan, 100 Wall Street, Ann Arbor, MI, 48105, USA.
Diane B WhitakerDepartment of Ophthalmology, Duke University School of Medicine, 2351 Erwin Rd, Durham, NC, 27705, USA.
Heather E WhitsonDepartment of Medicine, Duke University School of Medicine, Durham, NC, USA.

Funding

UTMB OAIC Research Education Component (REC)P30AG024832 · NIA · UNIVERSITY OF TEXAS MEDICAL BR GALVESTON · PI JAMES S. GOODWIN, MD, MELISSA M. MORROW · 2005 to 2026
$26.7M
Rehabilitation Research Career Development ProgramK12HD055929 · NICHD · UNIVERSITY OF TEXAS MED BR GALVESTON · PI BROWN, DAVID A · 2007 to 2021
$11.7M
Development and Evaluation of Rehabilitation Service AreasR01HS024711 · AHRQ · UNIVERSITY OF TEXAS MED BR GALVESTON · PI REISTETTER, TIMOTHY · 2016 to 2019
$1.2M
Addressing Low Vision due to Severe Peripheral Field Loss: Development and Validation of a Patient-Centered Outcome MeasureK23EY027848 · NEI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI EHRLICH, JOSHUA ROBERT · 2017 to 2021
$1.2M
Standardized Patient Assessment across Post-Acute Care: Opportunities and ChallengesK01HD101589 · NICHD · UNIVERSITY OF TEXAS MED BR GALVESTON · PI LI, CHIH-YING · 2020 to 2024
$632k
AHRQ HHS R01 HS024711NEI NIH HHS K23 EY027848NEI NIH HHS K23EY027848NIA NIH HHS P30 AG024832NICHD NIH HHS K01 HD101589NICHD NIH HHS K12 HD055929NIH HHS R01 HS024711
6 · The paper itself

Abstract

backgroundOcular conditions are common following stroke and frequently occur in combination with pre-existing ophthalmologic disease. The Medicare International Statistical Classification of Diseases and Related Health Problems (ICD-10) coding system for identifying vision related health conditions provides a much higher level of detail for coding these complex scenarios than the previous ICD-9 system. While this new coding system has advantages for clinical care and billing, the degree to which providers and researchers are utilizing the expanded code structure is unknown. The purpose of this study was to describe the use of ICD-10 vision codes in a large cohort of stroke survivors.

methodsRetrospective cohort design to study national 100% Medicare claims files from 2015 through 2017. Descriptive data analyses were conducted using all available ICD-10 vision codes for beneficiaries who had an acute care stay because of a new stroke. The outcome of interest was ≥1 ICD-10 visual code recorded in the claims chart.

resultsThe cohort (n = 269,314) was mostly female (57.1%) with ischemic stroke (87.8%). Approximately 15% were coded as having one or more ocular condition. Unspecified glaucoma was the most frequently used code among men (2.83%), those over 85+ (4.80%) and black beneficiaries (4.12%). Multiple vision codes were used in few patients (0.6%). Less than 3% of those in the oldest group (85+ years) had two or more vision codes in their claims.

conclusionsOcular comorbidity was present in a portion of this cohort of stroke survivors, however the vision codes used to describe impairments in this population were few and lacked specificity. Future studies should compare ophthalmic examination results with billing codes to characterize the type and frequency of ocular comorbidity. It important to understand how the use of ICD-10 vision codes impacts clinical decision making, recovery, and outcomes.

Indexed as

International Classification of DiseasesAgedAged, 80 and overComorbidityEye DiseasesFemaleHumansInsurance Claim ReviewMaleMedicareRetrospective StudiesStrokeUnited StatesComorbidityImpairmentMedical codingOcular conditionsStrokeVision

Identifiers

PMID32641050
PMCPMC7346474

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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.