Use of the ICD-10 vision codes to study ocular conditions in Medicare beneficiaries with stroke
- PMID: 32641050
- PMCID: PMC7346474
- DOI: 10.1186/s12913-020-05484-z
Use of the ICD-10 vision codes to study ocular conditions in Medicare beneficiaries with stroke
Abstract
Background: Ocular 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.
Methods: Retrospective 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.
Results: The 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.
Conclusions: Ocular 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.
Keywords: Comorbidity; Impairment; Medical coding; Ocular conditions; Stroke; Vision.
Conflict of interest statement
The authors declare that they have no competing interests.
Figures
Similar articles
-
Derivation and Validation of ICD-10 Codes for Identifying Incident Stroke.JAMA Neurol. 2024 Aug 1;81(8):875-881. doi: 10.1001/jamaneurol.2024.2044. JAMA Neurol. 2024. PMID: 38949838
-
Identifying Medicare Beneficiaries Accessing Transgender-Related Care in the Era of ICD-10.LGBT Health. 2019 May/Jun;6(4):166-173. doi: 10.1089/lgbt.2018.0175. Epub 2019 May 14. LGBT Health. 2019. PMID: 31084519
-
Diagnostic rate estimation from Medicare records: Dependence on claim numbers and latent clinical features.J Biomed Inform. 2023 Sep;145:104463. doi: 10.1016/j.jbi.2023.104463. Epub 2023 Jul 28. J Biomed Inform. 2023. PMID: 37517509 Free PMC article.
-
Use of health care claims data to study patients with ophthalmologic conditions.Ophthalmology. 2014 May;121(5):1134-41. doi: 10.1016/j.ophtha.2013.11.038. Epub 2014 Jan 14. Ophthalmology. 2014. PMID: 24433971 Free PMC article. Review.
-
A systematic review of validated methods for identifying orthopedic implant removal and revision using administrative data.Pharmacoepidemiol Drug Saf. 2012 Jan;21 Suppl 1:265-73. doi: 10.1002/pds.2309. Pharmacoepidemiol Drug Saf. 2012. PMID: 22262616 Review.
Cited by
-
Association between glaucoma and stroke: A bidirectional mendelian randomization study.Adv Ophthalmol Pract Res. 2024 Apr 23;4(3):147-155. doi: 10.1016/j.aopr.2024.04.003. eCollection 2024 Aug-Sep. Adv Ophthalmol Pract Res. 2024. PMID: 39022764 Free PMC article.
-
Machine Learning Methods Using Artificial Intelligence Deployed on Electronic Health Record Data for Identification and Referral of At-Risk Patients From Primary Care Physicians to Eye Care Specialists: Retrospective, Case-Controlled Study.JMIR AI. 2024 Mar 12;3:e48295. doi: 10.2196/48295. JMIR AI. 2024. PMID: 38875582 Free PMC article.
-
A Spatial Variation Analysis of In-Hospital Stroke Mortality Based on Integrated Pre-Hospital and Hospital Data in Mashhad, Iran.Arch Iran Med. 2023 Jun 1;26(6):300-309. doi: 10.34172/aim.2023.46. Arch Iran Med. 2023. PMID: 38310430 Free PMC article.
-
Barriers and facilitators to the implementation of a structured visual assessment after stroke in municipal health care services.BMC Health Serv Res. 2021 May 24;21(1):497. doi: 10.1186/s12913-021-06467-4. BMC Health Serv Res. 2021. PMID: 34030691 Free PMC article.
-
Post-acute care use patterns among Hospital Service Areas by older adults in the United States: a cross-sectional study.BMC Health Serv Res. 2021 Feb 25;21(1):176. doi: 10.1186/s12913-021-06159-z. BMC Health Serv Res. 2021. PMID: 33632202 Free PMC article.
References
-
- Hepworth L, et al. Post-stroke visual impairment: a systematic literature review of types and recovery of visual conditions. Ophthalmol Res Int J. 2016;5:1–43.
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources
Medical
